{"conformsTo": "https://project-open-data.cio.gov/v1.1/schema", "describedBy": "https://project-open-data.cio.gov/v1.1/schema/catalog.json", "@context": "https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld", "@type": "dcat:Catalog", "dataset": [{"@type": "dcat:Dataset", "title": "Chronic Wasting Disease Surveillance - CDFW [ds3157]", "description": "This data is associated with the following layers: Chronic Wasting Disease Testing Sites - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154), Participating Meat Processors and Taxidermists - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155), and Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.", "issued": "2024-03-07T17:11:18.000Z", "modified": "2024-03-22T19:01:58.000Z", "accessLevel": "public", "identifier": "f86e2675-4985-4c96-857d-a56b424302a1", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.4096,32.5340],[-124.4096,42.0098],[-114.1315,42.0098],[-114.1315,32.5340],[-124.4096,32.5340]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3157_fpu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/CWD"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3157.zip"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "chronic wasting disease", "cwd", "deer", "ds315720240322wm", "elk", "survey", "test"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Vegetation - Santa Clara and Santa Cruz Counties [ds3116]", "description": "Under contract to the Santa Cruz Mountains Stewardship Network with support from the Golden Gate National Parks Conservancy, and staffed by personnel from Tukman Geospatial, Aerial Information Systems (AIS), and Kass Green and Associates, Tukman Geospatial and Aerial Information Systems created a fine-scale vegetation map of portions of Santa Cruz and Santa Clara Counties. CDFW''s Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to allocate and score the AA. The mapping study area, consists of approximately 1,133,106.8 acres, of Santa Clara and Santa Cruz counties. Work was performed on the project between 2020 and 2023. The Santa Cruz and Santa Clara fine-scale vegetation map was designed for a broad audience for use at many floristic and spatial scales and is useful to managers interested in specific information about vegetation composition and forest health.CNPS under separate contract and in collaboration with CDFW VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS).The vegetation map was produced with countywide vegetation survey data and combined with surveys from CNPS. Trimble\u00ae Ecognition\u00ae followed by manual image interpretation that was used to map lifeforms. Fine-scale segmentation was conducted using Trimble Ecognition\u00ae and relies on summer 2020 4-band NAIP, the 2020 lidar-derived canopy height model, and a suite of spectral indices derived from the NAIP. They utilized a type of algorithmic data modeling known as machine learning to automate the classification of fine-scale segments into one of Santa Cruz and Santa Clara Counties 121 fine-scale map classes. The minimum mapping unit (MMU) is set by feature type. For agricultural classes, the MMU is 1/4 acre, for woody upland classes is 1/2 acre, woody riparian is 1/4 acre, upland herbaceo", "issued": "2024-02-22T19:54:43.000Z", "modified": "2024-03-19T21:49:39.376Z", "accessLevel": "public", "identifier": "8da26a43-b8a5-4bca-be12-2419ff7944ef", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-santa-clara-and-santa-cruz-counties-ds3116", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-122.3176,36.8487],[-122.3176,37.4846],[-121.2059,37.4846],[-121.2059,36.8487],[-122.3176,36.8487]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-santa-clara-and-santa-cruz-counties-ds3116", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3116_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3116.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/6ec54112a54f415fa132a44eb760b7a3/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/6ec54112a54f415fa132a44eb760b7a3/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/6ec54112a54f415fa132a44eb760b7a3/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/6ec54112a54f415fa132a44eb760b7a3/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds311620240221wm", "manual of california vegetation", "national vegetation classification standard", "nvcs", "santa clara santa cruz counties"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Vegetation - Suisun Marsh - 2018 [ds2963]", "description": "Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection. This update by the Geographical Information Center (GIC) of the North State Planning and Development Collective at California State University, Chico is part of an ongoing triennial vegetation monitoring program for the Suisun Marsh. The project tracks changes in the Suisun Marsh vegetation over time to fulfill specific permit requirements of the Suisun Marsh Plan of Protection of 1984, the Suisun Marsh Preservation Agreement of 1986, and the 2015 Suisun Marsh Preservation Agreement. This is the seventh update using the current mapping standards originally implemented in 1999. All of the previous vegetation maps from 1999 to 2015 can be viewed and downloaded using the online California Department of Fish and Wildlife (CDFW) Biogeographic Information and Observation System (BIOS); the links to the associated reports are included in the map metadata. Minimum mapping unit (MMU): Typically, the minimum mapping size is 0.25 acres. However, the photo interpreters use their best judgment to determine if a stand below 0.25 acre should be separately delineated. For example, a smaller polygon would be appropriate for any new visible occurrence of a non-native species of concern, such as Phragmites australis, Arundo donax, Carpobrotus edulis, Eucalyptus spp., and Lepidium latifolium.Minimum mapping width: There are many long and narrow polygons within the Suisun Marsh study area, most of which are roads, ditches, levees, and sloughs. The minimum mapping width is typically 10 feet; however, if small sections of a stand fell below the minimum width, the polygon was not split. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2963.zip and the report is available for download separately at: https://nrm.dfg.ca.gov/FileHandl", "issued": "2024-03-18T17:47:59.000Z", "modified": "2024-03-19T20:56:53.629Z", "accessLevel": "public", "identifier": "efc2b35b-a61e-4f69-87e8-f723dba2e959", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-suisun-marsh-2018-ds2963", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-122.1367,38.0384],[-122.1367,38.2483],[-121.8501,38.2483],[-121.8501,38.0384],[-122.1367,38.0384]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-suisun-marsh-2018-ds2963", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2963_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2963.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/e8f87e7ee7224ea59a265a2d04ea5fc4/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/e8f87e7ee7224ea59a265a2d04ea5fc4/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/e8f87e7ee7224ea59a265a2d04ea5fc4/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/e8f87e7ee7224ea59a265a2d04ea5fc4/kml?layers=0"}], "keyword": ["__", "authcdfw", "california department of fish and wildlife", "california department of water resources", "california natural resources agency", "caopendata", "cdfw", "ds296320240315wm", "manual of california vegetation", "mcv", "national vegetation classification standard", "nvcs", "suisun marsh"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Fish Salvage in State Water Project and Central Valley Project - California", "description": "Two fish protective facilities reduce fish losses associated with water export by the federal Central Valley Project (CVP) and California\u2019s State Water Project (SWP). The CVP\u2019s Tracy Fish Collection Facility (TFCF) and the SWP\u2019s Skinner Delta Fish Protective Facility (SDFPF) salvage fish (fish are removed from exported water and released back to the Delta) from water exported from the southern end of the Sacramento-San Joaquin Delta located in Byron, California. Both facilities use louver-bypass systems to divert fish from the exported water. The salvaged fish are periodically loaded into tanker trucks and transported to fixed release sites in the western Delta. Export and salvage operations began in 1957 at the TFCF and in 1968 at the SDFPF.\r\n\r\nThis data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000582. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.", "issued": "2023-07-20T16:00:25.911784", "modified": "2024-03-15T21:03:56.112542", "accessLevel": "public", "identifier": "ab730a30-ebcd-49f7-833a-c67817bd4448", "temporal": "First day of collection: 1957. Last day of collection: 2022 ongoing.", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "Geir Aasen", "hasEmail": "mailto:geir.aasen@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "format": "XLSX", "title": "CDFW DMP Metadata Worksheet.xlsx", "description": "California Department of Fish and Wildlife (CDFW) Data Management Plan (DMP) metadata worksheet. For more information on scientific data in CDFW please visit https://wildlife.ca.gov/Data/Sci-Data.", "downloadURL": "https://data.cnra.ca.gov/dataset/ab730a30-ebcd-49f7-833a-c67817bd4448/resource/18959ec0-c555-46dd-bbcc-c8efcf3e49a2/download/cdfw-dmp-metadata-worksheet.xlsx"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Salvage_data_FTP.zip", "description": "This zipped folder includes files with the following extensions: ACCDB.", "downloadURL": "https://data.cnra.ca.gov/dataset/ab730a30-ebcd-49f7-833a-c67817bd4448/resource/a1c8ea12-4004-4ad2-83a5-24441d27ad3c/download/salvage_data_ftp.zip"}], "keyword": ["CVP", "DMP", "Entraiment", "Loss", "SWP", "Sacramento and San Joaquin Rivers", "Salvage"], "theme": ["Water", "Wildlife"]}, {"@type": "dcat:Dataset", "title": "California Tiger Salamander Predicted Habitat - CWHR A001 [ds1968]", "description": "An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections (CDF) Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.", "issued": "2023-05-18T19:37:37.000Z", "modified": "2024-03-14T19:39:01.000Z", "accessLevel": "public", "identifier": "2b9bbda7-c9d8-4a03-bc1a-acd09b191cc7", "landingPage": "https://data-cdfw.opendata.arcgis.com/content/CDFW::california-tiger-salamander-predicted-habitat-cwhr-a001-ds1968", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-122.7040,34.5874],[-122.7040,38.9720],[-118.9699,38.9720],[-118.9699,34.5874],[-122.7040,34.5874]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::california-tiger-salamander-predicted-habitat-cwhr-a001-ds1968", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds1968_cru/ImageServer"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/1900_1999/ds1968.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/CWHR"}], "keyword": ["amphibian", "authcdfw", "biota", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "cn california tiger salamander", "ds196820160914wm", "environment", "habitat", "natural resources", "sn ambystoma californiense", "species", "wildlife"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "California Recreational Fisheries Survey Microblocks - CDFW [ds3153]", "description": "These cells divide the 10-minute (10\u2018) grid or California trawl (Cal-Trawl) Blocks that are used in commercial fishing into 1-minute (1'') boxes. The California Recreational Fisheries Survey (CRFS) uses these Block-Box cells (commonly called Microblocks) as a reference for anglers to report location of recreational catch and effort data. The 1 Microblocks in this dataset extend inland to include many coastal areas, estuaries, and bays.Attributes:NM_INDEX: Unique identifier for each Microblock. Format is (10'' minute Block '' 1'' minute Box). BLOCK10_ID: Identification number of the larger 10-minute Cal-Trawl Block.BLOCK1_ID: Numerical ID representing the number of the 1-minute box dividing each Cal-Trawl Block.X: Longitudinal centroid of the Microblock.Y: Latitudinal centroid of the Microblock.", "issued": "2024-02-28T19:40:10.000Z", "modified": "2024-03-14T15:54:37.513Z", "accessLevel": "public", "identifier": "bee86a68-0243-443a-a1ef-694720438a3e", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::california-recreational-fisheries-survey-microblocks-cdfw-ds3153-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-125.1679,32.3334],[-125.1679,41.9998],[-117.0950,41.9998],[-117.0950,32.3334],[-125.1679,32.3334]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::california-recreational-fisheries-survey-microblocks-cdfw-ds3153-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3153_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/77e32ea1a89c4dddab04a788fc75e720/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/77e32ea1a89c4dddab04a788fc75e720/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/77e32ea1a89c4dddab04a788fc75e720/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/77e32ea1a89c4dddab04a788fc75e720/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "california recreational fisheries survey", "caopendata", "cdfw", "crfs", "ds315320240227wm", "marinebios", "microblocks", "recreational fisheries"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Vegetation Survey Points - CDFW [ds1020]", "description": "Vegetation surveys included in this dataset have been collected through various vegetation classification and mapping projects, and some were also collected independently from these kinds of projects. Reports for these projects can be found in CDFWs document library see https://nrm.dfg.ca.gov/documents/ContextDocs.aspx?cat=VegCAMP. Links to specific projects are provided with project descriptions below. The surveys are of various types, but many follow the rapid assessment/releve protocol which can be seen here: https://wildlife.ca.gov/Data/VegCAMP/Publications-and-ProtocolsThere are associated disturbance and other environmental data taken for many of these surveys that are not included in this dataset. There are also associated photos. These are available upon request.", "issued": "2024-02-22T19:32:52.000Z", "modified": "2024-03-13T22:46:35.000Z", "accessLevel": "public", "identifier": "3d931d18-4a95-4db1-9c37-3244099f2221", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-survey-points-cdfw-ds1020-5", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.2534,32.5353],[-124.2534,41.9956],[-114.6437,41.9956],[-114.6437,32.5353],[-124.2534,32.5353]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-survey-points-cdfw-ds1020-5", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds1020_fpu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/1000_1099/ds1020.zip"}], "keyword": ["authcdfw", "biota", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds102020240220wm", "environment", "imagerybasemapsearthcover", "vegetation"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Vegetation - San Mateo County [ds3021]", "description": "In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the \u201cSan Mateo Fine Scale Veg Map\u201d, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County''s habitats and natural resources.Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http", "issued": "2024-03-12T17:21:29.000Z", "modified": "2024-03-13T21:59:49.921Z", "accessLevel": "public", "identifier": "0616f4e6-7034-40df-8a67-ad7e9be92ff6", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-san-mateo-county-ds3021", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-122.5240,37.1049],[-122.5240,37.8133],[-122.1163,37.8133],[-122.1163,37.1049],[-122.5240,37.1049]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::vegetation-san-mateo-county-ds3021", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3021_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3000_3099/ds3021.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/048fa54a97fe404db2255e5fdb935a28/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/048fa54a97fe404db2255e5fdb935a28/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/048fa54a97fe404db2255e5fdb935a28/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/048fa54a97fe404db2255e5fdb935a28/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds302120240311wm", "golden gate national parks conservancy", "manual of california vegetation", "national vegetation classification standard", "nvcs", "san mateo county", "smat"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "CDFW Public Access Lands [ds3077]", "description": "The CDFW Public Access Lands dataset is a subset of the CDFW Lands dataset. It contains lands that might be accessible to the public for hunting, fishing, wildlife watching, and other recreational opportunities. For additional information please visit the CDFW Lands web page, \"Places to Visit\", for a list of wildlife areas and ecological reserves at https://www.wildlife.ca.gov/Lands/Places-to-Visit . Please note that some lands may not be accessible due to seasonal closure or protection of resources and habitat. Please refer to the regulations or contact CDFW regional or area office prior to visit. Additional information for some wildlife areas or ecological reserves may be found at www.wildlife.ca.gov/Lands. For information on public use regulations on Department lands, please refer to the Public Uses on State and Federal Lands section of the Waterfowl, Upland Game, and Public Use Regulations booklet for both statewide and property-specific regulations https://wildlife.ca.gov/Regulations. All visitors are responsible for knowing and following the general and property-specific regulations.This is a generalized version that has been dissolved and has a shorter attribute table than the original version. This dataset is a digitized geographical inventory of selected lands owned and/or administered by the California Department of Fish and Wildlife (CDFW). Physical boundaries of individual parcels are determined by the descriptions contained in legal documents and assessor parcel maps relating to that parcel. The approximate parcel boundaries are drawn onto U.S. Geological Survey 7.5-series topographic maps, then digitized and attributed before being added to the dataset. In some cases, assessor parcel or best available datasets are used to digitize the boundary. Using parcel data to adjust the boundaries is a work in progress and will be incorporated in the future. Township, range, and section lines were based on the U.S. Geological Survey 7.5 series topographic maps (1", "issued": "2023-05-22T16:19:59.000Z", "modified": "2024-03-12T18:31:10.184Z", "accessLevel": "public", "identifier": "d52cd298-1b11-4292-a37a-3bb74fbdaace", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cdfw-public-access-lands-ds3077", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.3159,32.6006],[-124.3159,42.0083],[-114.4954,42.0083],[-114.4954,32.6006],[-124.3159,32.6006]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cdfw-public-access-lands-ds3077", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3077_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3000_3099/ds3077.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b3b6dd29b34247dbb2dd773ea17cc82d/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b3b6dd29b34247dbb2dd773ea17cc82d/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b3b6dd29b34247dbb2dd773ea17cc82d/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b3b6dd29b34247dbb2dd773ea17cc82d/kml?layers=0"}], "keyword": ["authcdfw", "biological database", "boundaries", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "conservation planning", "ds307720231221wm", "ecological reserves", "fishing", "hunting", "land ownership", "planningcadastre", "resource lands", "state lands", "threatened and endangered species", "wildlife areas", "wildlife protection"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "CDFW Owned and Operated Lands and Conservation Easements [ds3092]", "description": "The CDFW Owned and Operated Lands and Conservation Easements dataset is a subset of the CDFW Lands dataset. It contains lands owned (fee title), some operated (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies that may be publicly accessible) and conservation easements held by CDFW. CDFW Owned and Operated Lands and Conservation Easements replaces the prior dataset, DFG Owned and Operated Lands, which included only fee title lands and some operated lands (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies and that may be publicly accessible). This is a generalized version dataset that has a shorter attribute table than the original and also has been dissolved based on the fields included. Please note that some lands may not be accessible due to the protection of resources and habitat. It is recommended that users contact the appropriate regional office for access information and consult regulations for CDFW lands in Sections 550, 550.1, 551, 552, 630 and 702. For information on public use regulations on Department lands, please refer to the Public Uses on State and Federal Lands section of the Waterfowl, Upland Game, and Public Use Regulations booklet for both statewide and property-specific regulations https://wildlife.ca.gov/Regulations. All visitors are responsible for knowing and following the general and property-specific regulations.The CDFW Lands dataset is a digitized geographical inventory of selected lands owned and/or administered by the California Department of Fish and Wildlife. Properties such as ecological reserves, wildlife areas, undesignated lands containing biological resource values, public and fishing access lands, and CDFW fish hatcheries are among those lands included in this inventory. Types of properties owned or administered by CDFW which may not be included in this dataset are parcels less than 1 acre", "issued": "2023-05-19T20:53:22.000Z", "modified": "2024-03-12T18:27:38.060Z", "accessLevel": "public", "identifier": "fcfbe1f0-e0bf-49f6-acea-b8b695e02255", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cdfw-owned-and-operated-lands-and-conservation-easements-ds3092", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.3159,32.5501],[-124.3159,42.0083],[-114.4954,42.0083],[-114.4954,32.5501],[-124.3159,32.5501]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cdfw-owned-and-operated-lands-and-conservation-easements-ds3092", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3092_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3000_3099/ds3092.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/4060907a307846779eee6a2b266e168a/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/4060907a307846779eee6a2b266e168a/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/4060907a307846779eee6a2b266e168a/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/4060907a307846779eee6a2b266e168a/kml?layers=0"}], "keyword": ["authcdfw", "biological database", "boundaries", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ce", "conservation", "conservation easement", "conservation planning", "ds309220231221wm", "ecological reserves", "fishing", "hunting", "land ownership", "planningcadastre", "resource lands", "state lands", "threatened and endangered species", "wildlife areas", "wildlife protection"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Three Nautical Mile State Maritime Limit - R7 - CDFW [ds3158]", "description": "This line was generated from NOAAs 3 nautical mile offshore maritime limit line clipped to California state waters. NOAAs Office of Coast Survey (OCS) has been responsible for generating the 3 Nautical Mile Line used as the state water maritime limit used on official paper charts and raster navigational charts (RNC).This line is primarily used for cartographic purposes. A polygon version of this feature will be downloaded in tandem with the line and is recommended for any area calculations or analysis. The approximate mean high tide line was generated through study region delineation conducted during the planning phase of implementing the Marine Life Protection Act. Attributes:LIMIT: Name of the maritime limit. STATE: State of maritime limit depicted. SRCSCALE: Map scales used to generate limit. SRCDATUM: Datum used to generate limit.", "issued": "2024-03-07T22:49:43.000Z", "modified": "2024-03-12T18:25:25.068Z", "accessLevel": "public", "identifier": "0ccb90dd-c74f-423b-9fbd-56b3eb14df39", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::three-nautical-mile-state-maritime-limit-r7-cdfw-ds3158", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.5351,32.5308],[-124.5351,41.9979],[-117.1836,41.9979],[-117.1836,32.5308],[-124.5351,32.5308]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::three-nautical-mile-state-maritime-limit-r7-cdfw-ds3158", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3158_fnu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3158.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/28454c15a784418fa5488241559bcd18/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/28454c15a784418fa5488241559bcd18/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/28454c15a784418fa5488241559bcd18/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/28454c15a784418fa5488241559bcd18/kml?layers=0"}], "keyword": ["authcdfw", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds315820240307wm", "managed areas", "marine life protection act", "marinebios", "mlpa", "state waters"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Wildlife Conservation Board (WCB) Approved Projects [ds672]", "description": "An inventory of Wildlife Conservation Board projects from board inception in 1949 to present (publication date). Project boundaries are approximate and used various data sources, scale and heads-up digitizing. Some of the project boundaries do not represent actual project area. See Wildlife Conservation Boards minutes and/or agenda for detailed information or contact the Board for additional information. (http://www.wcb.ca.gov/)", "issued": "2023-06-14T22:32:33.000Z", "modified": "2024-03-12T18:24:57.674Z", "accessLevel": "public", "identifier": "e0335817-f2cb-4671-9c0e-beb1c9702ff0", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::wildlife-conservation-board-wcb-approved-projects-ds672-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.3607,32.5362],[-124.3607,42.1649],[-114.4626,42.1649],[-114.4626,32.5362],[-124.3607,32.5362]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::wildlife-conservation-board-wcb-approved-projects-ds672-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds672_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/600_699/ds672.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a520ec4313be4ad08cf6ddd3e42b97df/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a520ec4313be4ad08cf6ddd3e42b97df/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a520ec4313be4ad08cf6ddd3e42b97df/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a520ec4313be4ad08cf6ddd3e42b97df/kml?layers=0"}], "keyword": ["authcdfw", "boundaries", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "conservation planning", "ds067220240223wm", "endangered species", "habitat", "habitat restoration", "land acquisition", "planning cadastre", "public access", "riparian", "structure", "wcb", "wetlands", "wildlife", "wildlife conservation board"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Mesocarnivore Photo Stations [ds26]", "description": "This database was established to record furbearer and raptor presence through photographs taken at camera stations. The general study area where camera stations were placed included parts of Madera, Fresno, and Tulare counties. Coordinates for the camera station were recorded with Garmin 12xl or Gramin Rhino GPS receivers. Coordinates written in the shapefile .dbf of this data layer are in NAD27. Output of data in viewer has been converted to NAD83.", "issued": "2023-10-04T17:33:42.000Z", "modified": "2024-03-11T20:03:49.379Z", "accessLevel": "public", "identifier": "6d6fc7a2-e961-46a6-929e-76873800ec83", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::mesocarnivore-photo-stations-ds26", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-119.4505,35.7974],[-119.4505,37.5356],[-118.5648,37.5356],[-118.5648,35.7974],[-119.4505,35.7974]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::mesocarnivore-photo-stations-ds26", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds26_fmu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/001_099/ds026.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/2a5b1595bcf144bfb6cc250b54e8b181/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/2a5b1595bcf144bfb6cc250b54e8b181/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/2a5b1595bcf144bfb6cc250b54e8b181/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/2a5b1595bcf144bfb6cc250b54e8b181/kml?layers=0"}], "keyword": ["authcdfw", "bird", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "distribution", "ds002620061205wm", "inventory", "mammal", "management", "multi-species", "planning", "special status species"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "California Fish Passage Assessment Database [ds69]", "description": "The Passage Assessment Database (PAD) geospatial file contains locations of known and potential barriers to salmonid migration in California streams with additional information about each record. The PAD is an ongoing map-based inventory of known and potential barriers to anadromous fish in California, compiled and maintained through a cooperative interagency agreement. The PAD compiles currently available fish passage information from many different sources, allows past and future barrier assessments to be standardized and stored in one place, and enables the analysis of cumulative effects of passage barriers in the context of overall watershed health. The database is set up to capture basic information about each potential barrier. It is designed to be flexible. As the database grows, other modules may be added to increase data detail and complexity. For the PAD to be useful as a restoration tool, the data within the PAD need to accurately depict the on-the ground reality of fish passage constraints. This requires the PAD to retrieve new barrier data and updates to existing sites and to have verified and vetted the information it receives. In 2013, new PAD data standards were designed to standardize this process and refine the data in PAD making the data more robust. They were further refined in 2014 and 2021. The data standards have been combined into one document with the PAD methodology which describes the database structure, data collection procedures and data quality and limitations, and is available online at: https://nrmsecure.dfg.ca.gov/FileHandler.ashx?DocumentID=78802. In the future, the new standards will be implemented for all existing records. If after reading the metadata, additional details about the PAD project are needed, please visit the CalFish website at www.calfish.org/PAD. To send comments about data issues, corrections, edits or to map a new barrier location not yet reported in the PAD please send an email to: Anne.Elston@wildlife.ca.gov. Ne", "issued": "2021-09-09T14:10:22.000Z", "modified": "2024-03-11T19:11:49.209Z", "accessLevel": "public", "identifier": "c93f260e-9549-4366-8fc4-86ec6e672408", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::california-fish-passage-assessment-database-ds69-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.3752,32.5644],[-124.3752,42.9789],[-114.1396,42.9789],[-114.1396,32.5644],[-124.3752,32.5644]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::california-fish-passage-assessment-database-ds69-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds69_fmu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "http://withheld"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "accessURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds69_fmu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "http://dx.doi.org/doi:10.5066/F7X06527"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/001_099/ds069.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/fe5b7e200f154c129e23751827b8722f/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/fe5b7e200f154c129e23751827b8722f/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/fe5b7e200f154c129e23751827b8722f/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/fe5b7e200f154c129e23751827b8722f/kml?layers=0"}], "keyword": ["anadromous migrations", "anadromous species", "authcdfw", "barriers structures", "biotic barriers", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "central valley", "coastal", "culvert", "dams", "diversion", "ds006920240311wm", "environment", "habitat connectivity", "habitat corridors", "habitat fragmentation", "impediment", "in-stream structures", "inland waters", "inventory", "obstacle", "passage", "passage assessments", "potadromous migrations", "road crossings", "salmon", "steelhead", "stream flow", "streams", "structure"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Water Temperature Measurements - Van Damme State Park - 1992-2023", "description": "Instantaneous temperatures (C) at intervals ranging from 5 to 60 minutes obtained with HOBOtemp data loggers (Onset Computer Corp.) at 10m depth for May 14, 1992 through August, 2023 (missing August, 2018 to August, 2019).\r\n\r\nThis data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000075. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.", "issued": "2023-07-18T16:51:09.147982", "modified": "2024-03-08T23:22:48.584552", "accessLevel": "public", "identifier": "c9b57f91-5c43-4d11-9eac-74032aae6b5d", "temporal": "First day of collection: May, 1992. Last day of collection: On-going.", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "Laura Rogers-Bennett", "hasEmail": "mailto:laura.rogers-bennett@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "format": "XLSX", "title": "CDFW DMP Metadata Van Damme Temperature 22-06-29.xlsx", "description": "California Department of Fish and Wildlife (CDFW) Data Management Plan (DMP) metadata worksheet. For more information on scientific data in CDFW please visit https://wildlife.ca.gov/Data/Sci-Data.", "downloadURL": "https://data.cnra.ca.gov/dataset/c9b57f91-5c43-4d11-9eac-74032aae6b5d/resource/32e74de9-726c-4754-b877-94a547775cb7/download/cdfw-dmp-metadata-van-damme-temperature-22-06-29.xlsx"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "VD_temp_daily_1992_2023_231107.zip", "description": "This zipped folder includes files with the following extensions: XLSX.", "downloadURL": "https://data.cnra.ca.gov/dataset/c9b57f91-5c43-4d11-9eac-74032aae6b5d/resource/b1526008-6dde-424a-a368-f6dccd264dae/download/vd_temp_daily_1992_2023_231107.zip"}], "keyword": ["California", "DMP", "HOBOtemp logger", "Marine seawater temperature", "Mendocino County", "Van Damme State Park", "kelp forest", "northern California coast", "sub-tidal"]}, {"@type": "dcat:Dataset", "title": "Kelp Forest Transect Surveys - Sonoma and Mendocino County, Northern California Coast", "description": "Kelp Forest Transect Surveys conducted along 30x2m transects on rocky reef habitats from 0-60 ft depth in Sonoma and Mendocino counties, Northern California.\r\n\r\nThe data set includes depth of transect; number, size and species of abalone and urchins; number of associated species and predators; substrate type; percent cover of algal type along a 30x2m transect. Transect locations are identified by latitude and longitude at sampling and are stratified into 4 depth ranges: 0-15ft, 16-30ft, 31-45ft, and 46-60ft.\r\n\r\nThis data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000061. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.", "issued": "2024-01-24T00:24:30.300678", "modified": "2024-03-08T23:09:49.012832", "accessLevel": "public", "identifier": "c1889688-9ead-456c-a1cb-985d0fda8390", "temporal": "First day of collection: 1971. Last day of collection: On-going.", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "Laura Rogers-Bennett", "hasEmail": "mailto:laura.rogers-bennett@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "format": "XLSX", "title": "CDFW DMP Metadata Transect 24-01-22.xlsx", "description": "California Department of Fish and Wildlife (CDFW) Data Management Plan (DMP) metadata worksheet. For more information on scientific data in CDFW please visit https://wildlife.ca.gov/Data/Sci-Data.", "downloadURL": "https://data.cnra.ca.gov/dataset/c1889688-9ead-456c-a1cb-985d0fda8390/resource/6b0b5095-28f2-46c4-a198-f32df352904b/download/cdfw-dmp-metadata-transect-24-01-22.xlsx"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "KelpForestSurveys_DMP000061.zip", "description": "This zipped folder includes files with the following extensions: PDF, CSV.", "downloadURL": "https://data.cnra.ca.gov/dataset/c1889688-9ead-456c-a1cb-985d0fda8390/resource/ccf37ef7-2b2f-444d-b402-00f951c2ac71/download/kelpforestsurveys_dmp000061.zip"}], "keyword": ["California North Coast", "DMP", "Marine transect data", "Mendocino County", "Sonoma County", "abalone", "kelp forest", "northern California coast", "sea stars", "sea urchins", "sub-tidal"]}, {"@type": "dcat:Dataset", "title": "Chronic Wasting Disease Surveillance - CDFW [ds3157]", "description": "This data is associated with the following layers: Chronic Wasting Disease Testing Sites - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154), Participating Meat Processors and Taxidermists - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155), and Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.", "issued": "2024-03-07T17:11:18.000Z", "modified": "2024-03-08T19:19:32.000Z", "accessLevel": "public", "identifier": "fe0553e3-de58-495b-901a-a9caf28bc294", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.4096,32.5340],[-124.4096,42.0098],[-114.1315,42.0098],[-114.1315,32.5340],[-124.4096,32.5340]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3157_fpu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/CWD"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3157.zip"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "chronic wasting disease", "cwd", "deer", "ds315720240304wm", "elk", "survey", "test"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Chronic Wasting Disease Surveillance - CDFW [ds3157] Extended Table", "description": "This data is associated with the following layers: Chronic Wasting Disease Testing Sites - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154), Participating Meat Processors and Taxidermists - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155), and Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.", "issued": "2024-03-07T17:11:18.000Z", "modified": "2024-03-08T19:18:12.384Z", "accessLevel": "public", "identifier": "1cffdbf2-2683-47d9-ac87-f0b878a70eaa", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-extended-table", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.4096,32.5340],[-124.4096,42.0098],[-114.1315,42.0098],[-114.1315,32.5340],[-124.4096,32.5340]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-surveillance-cdfw-ds3157-extended-table", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3157_fpu/FeatureServer/1"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/CWD"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3157.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/379e0449e966460ca0a80354e6b69683/csv?layers=1", "datastoreMetadata": "https://data.cnra.ca.gov/api/action/datastore_search?resource_id=76892036-22fe-4404-bf83-26277837d79c&limit=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/379e0449e966460ca0a80354e6b69683/geojson?layers=1"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "chronic wasting disease", "cwd", "deer", "ds315720240304wm", "elk", "survey", "test"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "SWAP Aquatic Targets - 2015 [ds2733]", "description": "The California Department of Fish and Wildlife (CDFW) State Wildlife Action Plan (SWAP) is designed to enhance CDFW conservation efforts. To this end, the plan establishes regions called \u201cProvinces\u201d, which are composed of spatially defined \u201cConservation Units\u201d. Each Conservation Unit has \u201ctargets\u201d, which are ecosystems or aquatic features which have distinct characteristics which are considered especially worth of focused conservation efforts. These Provinces, Conservation Units, and Targets are discussed in Chapter 5 of the 2015 SWAP Update, which can be found at https://wildlife.ca.gov/SWAP/Final. There are two distinct groups of conservation units. Terrestrial units represent those that protect terrestrial features, such as marshes, grasslands, or riparian habitats. Aquatic units protect aquatic features, such as fisheries or desert waters and are identified in another dataset. . This data set shows the spatial locations of Aquatic Conservation Units and identifies which Provinces they are associated with as well as where to find information about Conservation Targets within each Unit. It is the responsibility of the project proponent to determine if their project actually contains target habitat(s). That can be done by identifying the Province and Conservation Unit in which the project occurs and then reviewing Table 1 in the appropriate section of Chapter 5 of the SWAP 2015 document.To use this data set, locate your project and identify the chapter and page where the information about the Conservation Targets can be found. Click on the Chapter link and go to the appropriate page to identify the characteristics of the Conservation Targets and compare them to the characteristics of the vegetation on your site.", "issued": "2020-02-12T22:00:59.000Z", "modified": "2024-03-07T21:43:45.886Z", "accessLevel": "public", "identifier": "a8d99c33-bf18-4735-b04e-ee92b52bc998", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::swap-aquatic-targets-2015-ds2733", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.5351,32.5251],[-124.5351,42.0095],[-114.1308,42.0095],[-114.1308,32.5251],[-124.5351,32.5251]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::swap-aquatic-targets-2015-ds2733", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2733_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2700_2799/ds2733.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a2f3f5ddf7f140d9b948fdc1a9a86c44/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a2f3f5ddf7f140d9b948fdc1a9a86c44/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a2f3f5ddf7f140d9b948fdc1a9a86c44/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a2f3f5ddf7f140d9b948fdc1a9a86c44/kml?layers=0"}], "keyword": ["aquatic", "authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "climate change", "conservation", "ds273320240307wm", "huc", "hydrologic units", "state wildlife action plan", "strategies", "swap", "targets"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "SWAP Terrestrial Targets - 2015 [ds1966]", "description": "The California Department of Fish and Wildlife (CDFW) State Wildlife Action Plan (SWAP) is designed to enhance CDFW conservation efforts. To this end, the plan establishes regions called \u201cProvinces\u201d, which are composed of spatially defined \u201cConservation Units\u201d. Each Conservation Unit has \u201ctargets\u201d, which are ecosystems or aquatic features which have distinct characteristics which are considered especially worth of focused conservation efforts. These Provinces, Conservation Units, and Targets are discussed in Chapter 5 of the 2015 SWAP Update, which can be found at https://wildlife.ca.gov/SWAP/Final. There are two distinct groups of conservation units. Terrestrial units represent those that protect terrestrial features, such as marshes, grasslands, or riparian habitats. Aquatic units protect aquatic features, such as fisheries or desert waters and are identified in another dataset. . This data set shows the spatial locations of terrestrial Conservation Units and identifies which Provinces they are associated with as well as where to find information about Conservation Targets within each Unit. It is the responsibility of the project proponent to determine if their project actually contains target habitat(s). That can be done by identifying the Province and Conservation Unit in which the project occurs and then reviewing Table 1 in the appropriate section of Chapter 5 of the SWAP 2015 document.To use this data set, locate your project and identify the chapter and page where the information about the Conservation Targets can be found. Click on the Chapter link and go to the appropriate page to identify the characteristics of the Conservation Targets and compare them to the characteristics of the vegetation on your site.", "issued": "2024-03-07T21:24:55.000Z", "modified": "2024-03-07T21:24:58.984Z", "accessLevel": "public", "identifier": "b7e6cbd2-086e-4e64-87e8-ba932979123c", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::swap-terrestrial-targets-2015-ds1966-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.4094,32.5350],[-124.4094,42.0098],[-114.1295,42.0098],[-114.1295,32.5350],[-124.4094,32.5350]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::swap-terrestrial-targets-2015-ds1966-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds1966_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/1900_1999/ds1966.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b6cb72056e9c49efa1a42dd2e9e4b2cc/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b6cb72056e9c49efa1a42dd2e9e4b2cc/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b6cb72056e9c49efa1a42dd2e9e4b2cc/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/b6cb72056e9c49efa1a42dd2e9e4b2cc/kml?layers=0"}], "keyword": ["authcdfw", "calfire", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "climate adapation strategies", "ds196620240307wm", "fveg", "macrogroups", "state wildlife action plan", "strategies", "swap", "targets"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Participating Meat Processors and Taxidermists - CDFW [ds3155]", "description": "This data is associated with the following layers: Chronic Wasting Disease Testing Sites - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154), Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156), and Chronic Wasting Disease Surveys - CDFW [ds3157] (https://apps.wildlife.ca.gov/bios6/?al=3157). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.", "issued": "2024-03-07T17:03:55.000Z", "modified": "2024-03-07T17:03:59.977Z", "accessLevel": "public", "identifier": "059eef5e-6877-4955-95e2-8dd694c2bb3c", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::participating-meat-processors-and-taxidermists-cdfw-ds3155", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-123.1600,33.8943],[-123.1600,40.6552],[-117.4882,40.6552],[-117.4882,33.8943],[-123.1600,33.8943]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::participating-meat-processors-and-taxidermists-cdfw-ds3155", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3155_fmu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/CWD"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3155.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/475b3a4e39ef4285a07ed4feedbec777/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/475b3a4e39ef4285a07ed4feedbec777/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/475b3a4e39ef4285a07ed4feedbec777/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/475b3a4e39ef4285a07ed4feedbec777/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "chronic wasting disease", "cwd", "deer", "ds315520240304wm", "elk", "meat processors", "taxidermists"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Chronic Wasting Disease Testing Sites - CDFW [ds3154]", "description": "This data is associated with the following layers: Participating Meat Processors and Taxidermists - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155), Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156), Chronic Wasting Disease Surveys - CDFW [ds3157] (https://apps.wildlife.ca.gov/bios6/?al=3157). These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2023. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. For the latest information, please visit https://wildlife.ca.gov/CWD.", "issued": "2024-03-07T16:12:46.000Z", "modified": "2024-03-07T16:58:00.494Z", "accessLevel": "public", "identifier": "3a61991e-d9d4-4bb7-8d57-4ec262704c10", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-testing-sites-cdfw-ds3154", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.1650,33.7379],[-124.1650,41.7110],[-116.8374,41.7110],[-116.8374,33.7379],[-124.1650,33.7379]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::chronic-wasting-disease-testing-sites-cdfw-ds3154", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds3154_fmu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "accessURL": "https://wildlife.ca.gov/CWD"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3154.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a83c97ee339e4d86aa21c4e6fcfbe5cf/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a83c97ee339e4d86aa21c4e6fcfbe5cf/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a83c97ee339e4d86aa21c4e6fcfbe5cf/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a83c97ee339e4d86aa21c4e6fcfbe5cf/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "chronic wasting disease", "cwd", "deer", "ds315420240304wm", "elk", "test", "testing sites"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "CNDDB-tracked Elements by Quad [ds2853]", "description": "This dataset provides basic California Natural Diversity Database (CNDDB) information at the USGS 7.5 minute topographic quad level.", "issued": "2023-06-06T17:47:28.000Z", "modified": "2024-03-05T03:08:10.000Z", "accessLevel": "public", "identifier": "47fc627d-1034-44cb-a089-b803fb49a283", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cnddb-tracked-elements-by-quad-ds2853", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.5012,32.5001],[-124.5012,42.1249],[-114.1258,42.1249],[-114.1258,32.5001],[-124.5012,32.5001]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cnddb-tracked-elements-by-quad-ds2853", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2853_fpu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2800_2899/ds2853.zip"}], "keyword": ["amphibian", "authcdfw", "bird", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "cnddb", "ds285320240304wm", "elements", "fish", "funguslichen", "invertebrate", "mammal", "multi-species", "plant", "quads", "reptile"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "CNDDB-tracked Elements by County [ds2852]", "description": "This dataset provides basic California Natural Diversity Database (CNDDB) information at the California county level.", "issued": "2023-06-06T17:41:53.000Z", "modified": "2024-03-05T02:10:35.000Z", "accessLevel": "public", "identifier": "f7eaffb3-de90-49f9-9990-59ad840bd7e3", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cnddb-tracked-elements-by-county-ds2852", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.4096,32.5340],[-124.4096,42.0098],[-114.1315,42.0098],[-114.1315,32.5340],[-124.4096,32.5340]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::cnddb-tracked-elements-by-county-ds2852", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2852_fpu/FeatureServer"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2800_2899/ds2852.zip"}], "keyword": ["amphibian", "authcdfw", "bird", "california", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "cnddb", "counties", "ds285220240304wm", "elements", "fish", "funguslichen", "invertebrate", "mammal", "multi-species", "plant", "reptile"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Fishing License Sales Agents - CDFW [ds2797]", "description": "This dataset represents commercial business locations that are California Department of Fish and Wildlife authorized Fishing License Sales Agents. These are locations where the public can purchase fishing licenses. The spatial locations are created by geocoding the address information provided by the business, using best available geocoding methods. Rural locations are potentially less accurate in their location assignment than urban locations. If a location is in doubt, contact the business first to confirm.", "issued": "2021-08-31T17:03:21.000Z", "modified": "2024-03-01T00:00:00.000Z", "accessLevel": "public", "identifier": "9290c875-f03d-4e7b-b06c-d7fe68c196eb", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::fishing-license-sales-agents-cdfw-ds2797-1", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.2677,32.5434],[-124.2677,42.3614],[-114.3502,42.3614],[-114.3502,32.5434],[-124.2677,32.5434]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::fishing-license-sales-agents-cdfw-ds2797-1", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2797_fmu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "https://www.wildlifa.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2700_2799/ds2797.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a4105c5924264d5faea4a9e6b805d181/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a4105c5924264d5faea4a9e6b805d181/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a4105c5924264d5faea4a9e6b805d181/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/a4105c5924264d5faea4a9e6b805d181/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds279720240318wm", "fish", "fishing", "fishing license sales agents"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "Recent Stocked Waters - California [ds778]", "description": "Each feature in this dataset represents a release water that has been stocked by the California Department of Fish and Wildlife. Release water is defined as a surface water where fish stocking took place. A single release water may be a moving water such as a portion of a stream or river, or a non-moving water such as a lake, reservoir, or pond. The locations are generalized, and do not represent specific locations of stocking. Note that there may be multiple fish planting sites on a designated water during a stocking event but only one is represented for each stocked water.", "issued": "2021-08-31T16:51:37.000Z", "modified": "2024-03-01T00:00:00.000Z", "accessLevel": "public", "identifier": "7fcce95c-900f-400a-8463-9cafa877298a", "landingPage": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::recent-stocked-waters-california-ds778", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-124.1491,32.6818],[-124.1491,41.9813],[-115.4871,41.9813],[-115.4871,32.6818],[-124.1491,32.6818]]]}", "publisher": {"@type": "org:Organization", "name": "California Department of Fish and Wildlife"}, "contactPoint": {"@type": "vcard:Contact", "fn": "BIOS_Admin", "hasEmail": "mailto:bios@wildlife.ca.gov"}, "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data-cdfw.opendata.arcgis.com/maps/CDFW::recent-stocked-waters-california-ds778", "format": "HTML", "title": "ArcGIS Hub Dataset"}, {"@type": "dcat:Distribution", "mediaType": "application/octet-stream", "format": "ArcGIS GeoServices REST API", "title": "ArcGIS GeoService", "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds778_fpu/FeatureServer/0"}, {"@type": "dcat:Distribution", "accessURL": "http://www.wildlife.ca.gov/Data/BIOS"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/700_799/ds778.zip"}, {"@type": "dcat:Distribution", "mediaType": "text/csv", "format": "CSV", "title": "CSV", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/eb614f68c7b045b8ba1b2943ac9b3477/csv?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/geo+json", "format": "GeoJSON", "title": "GeoJSON", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/eb614f68c7b045b8ba1b2943ac9b3477/geojson?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/zip", "format": "ZIP", "title": "Shapefile", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/eb614f68c7b045b8ba1b2943ac9b3477/shapefile?layers=0"}, {"@type": "dcat:Distribution", "mediaType": "application/vnd.google-earth.kml+xml", "format": "KML", "title": "KML", "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/eb614f68c7b045b8ba1b2943ac9b3477/kml?layers=0"}], "keyword": ["authcdfw", "california department of fish and wildlife", "california natural resources agency", "caopendata", "cdfw", "ds077820240318wm", "fish", "fish release", "hatchery", "inland program", "lake", "moving water", "non-moving water", "planting", "stocking", "streamriver", "trout"], "theme": ["Wildlife"]}, {"@type": "dcat:Dataset", "title": "NLCD 2021 Land Cover California Subset", "description": "
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. NLCD 2021 adds an additional year to the map products produced for NLCD 2019, with a streamlined compositing process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a theme-based post-classification protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and a scripted operational system. The overall accuracy of the 2019 Level I land cover was 91%. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2021 operational mapping (see https://doi.org/10.1080/15481603.2023.2181143 for the latest accuracy assessment publication). Questions about the NLCD 2021 land cover product can be directed to the NLCD 2021 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
Extent boundaries for sets of Hexagon (HxGN) imagery made available through State of California Department of Technology Agreement STP-SW-IDS-20-L3H. Since some services provided by HxGN include multiple sets of imagery, this layer will help users determine where the sets are located geographically. To create this layer, the California Department of Fish and Wildlife subsetted a larger layer provided by Hexagon. This extent layer has no access constraints but per the Agreement, the imagery has the following constraints:\u00a0"The following entities shall be allowed unlimited access licenses to the imagery provided under this contract:\u00a02.1. All State Government Agencies, Public Entities, and Regents-level institutions including all University of California and California State University institutes.\u00a02.2. All County-level governments.\u00a02.3. All Municipal (city) governments.\u00a02.4. All Public Safety Answering Points.\u00a02.5. Any subcontractor or organization holding an active contract to conduct work on behalf of the entities identified in 2.1 through 2.4 above."
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
Boundaries of California State Fish and Game Refuges, Fish Refuges, Game Refuges, Waterfowl Refuges, Quail Refuges, Marine Life Refuges, and Burro Sanctuary\u00a0as defined in the Fish and Game Code Division 7 Chapter 2. Special rules of take and possession apply to the areas designated (see Division 7 Chapter 1).
Polycyclic aromatic hydrocarbons (PAHs) are a class of organic compounds found in the environment associated with natural and anthropogenic activities such as the refinement and use of petroleum hydrocarbons as fuels and lubricants. When an oil spill occurs in California, an understanding of pre-spill or ambient levels of PAHs is crucial for understanding the existing environmental conditions before a release occurs. Anthropogenic (e.g., vehicle and boat exhaust, wood burning, industrial activities, oil spills) and natural releases (i.e., forest fires, oil seeps) of PAHs are common sources of these compounds in the environment. Ambient or pre-spill data are critical to identify the need for, and scope of, subsequent environmental sampling, and injury assessment. The Office of Spill Prevention and Response (OSPR) in collaboration with industry representatives (Chevron) and other state and federal trustee agencies (Department of Fish and Game, U.S. Fish and Wildlife Service, Bureau of Land Management, National Oceanic and Atmospheric Administration) have collected environmental samples (e.g., water, sediment, and tissue) for polycyclic aromatic hydrocarbon (PAH) chemical analysis from coastal and inland locations. In addition, plans to collect PAH monitoring data in California for the purpose of being prepared for oil spills and assessing natural resource injuries have been developed.
Between 2011 and 2022, Chevron and the Trustees collected samples in Eureka/Humboldt Bay, Richmond, El Segundo, and San Diego, CA for PAH analysis to begin assessing ambient conditions. Chevron and the Trustees have the common understanding that the interpretation of statistical comparisons of these data to spill data (in the event one occurs) must take into consideration the sample size and geographic coverage of the available PAH monitoring data. From 2017 to present, CDFW-OSPR has collected samples in the Feather River Canyon, along the Upper Sacramento River, in Elkhorn Slough and Monterey Bay.
Man-made barriers to salmonid migration include road /stream crossings, irrigation diversions and dams. Road /stream crossings are extremely numerous and often cross multiple road ownerships within a watershed. Passage impediments and delays in migration affect both adult and juvenile fish. Given the magnitude and severity of the problem, reconnecting isolated stream habitat has become an important priority for the restoration of impaired anadromous salmon and steelhead stocks. A comprehensive CDFW fish passage program is vital towards identifying, prioritizing, and treating migration barriers so that unimpeded migration of California\u2019s salmonid populations is achieved. By coordinating resources with CDFW fisheries engineers, the Fisheries Restoration Grant Program and in conjunction with the Fish Passage Forum, a comprehensive program will aid in the recovery and de-listing of salmon and steelhead, in California. In 2008, the California departments of Fish and Game (now California Department of Fish and Wildlife (CDFW)) and Transportation (Caltrans) met with staff from the Assembly committees on Natural Resources and Transportation to discuss joint agency collaboration on prioritizing and remediating fish barriers to salmon and steelhead migration. This was in response to Senate Bill 857 requiring the California Department of Transportation to complete an assessment of potential barriers to anadromous fish prior to commencing any project using State or Federal transportation funds. In addition to the expectation that both agencies would develop a mutual list of priority barriers occurring along transportation corridors, a request was made to CDFW to provide a statewide list of priority barriers based on significance to fish migration and independent of who manages or is responsible for the stream crossing. The point features mapped in this dataset represent the barrier locations from the 2012 list. The 2012 list includes CDFW's continuing effort to review priorities and track accomplishments in addressing statewide priorities. You will see that the review process has elevated some new priorities, while de-emphasizing some 2011 priorities. CDFW has a more comprehensive list of barriers to salmon and steelhead migration; these barriers represent our effort to demonstrate and emphasize barrier priorities across both Coastal and Central Valley watercourses. As such, this spatial dataset presents the top priorities in each twenty-four Coastal and Central Valley counties for fish passage improvement. This list is a result of compilation and review by CDFW Regional biologists and supervisors (Regions 1-5) and by the Fisheries Branch. The prioritization process considered the following criteria: 1) high likelihood to improve migration for anadromous species; 2) availability of recent data of fish and habitat; 3) willing partners and land access; 4) known political support at a local, State or national level; 5) the site is a barrier to a federal recovery plan \"Core\" population; 6) the watercourse is an eco-regional significant watershed; 7) CDFW is committed to monitoring before, during and after any barrier improvement project is undertaken; and 8) the site is considered to be a \"keystone barrier\", meaning the barrier was the lower-most in that river or creek. Visit https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=63174 to view the 2012 CDFW memo that the creation of this spatial dataset was based on.
Man-made barriers to salmonid migration include road /stream crossings, irrigation diversions and dams. Road /stream crossings are extremely numerous and often cross multiple road ownerships within a watershed. Passage impediments and delays in migration affect both adult and juvenile fish. Given the magnitude and severity of the problem, reconnecting isolated stream habitat has become an important priority for the restoration of impaired anadromous salmon and steelhead stocks. A comprehensive CDFW fish passage program is vital towards identifying, prioritizing, and treating migration barriers so that unimpeded migration of California\u2019s salmonid populations is achieved. By coordinating resources with CDFW fisheries engineers, the Fisheries Restoration Grant Program and in conjunction with the Fish Passage Forum, a comprehensive program will aid in the recovery and de-listing of salmon and steelhead, in California. In 2008, the California departments of Fish and Game (now California Department of Fish and Wildlife (CDFW)) and Transportation (Caltrans) met with staff from the Assembly committees on Natural Resources and Transportation to discuss joint agency collaboration on prioritizing and remediating fish barriers to salmon and steelhead migration. This was in response to Senate Bill 857 requiring the California Department of Transportation to complete an assessment of potential barriers to anadromous fish prior to commencing any project using State or Federal transportation funds. In addition to the expectation that both agencies would develop a mutual list of priority barriers occurring along transportation corridors, a request was made to CDFW to provide a statewide list of priority barriers based on significance to fish migration and independent of who manages or is responsible for the stream crossing. CDFW developed its first list in 2011 and the point features mapped in this dataset represent the barrier locations from this list. CDFW has a more comprehensive list of barriers to salmon and steelhead migration; these barriers represent our effort to demonstrate and emphasize barrier priorities across both Coastal and Central Valley watercourses. As such, this spatial dataset presents the top priorities in each twenty-four Coastal and Central Valley counties for fish passage improvement. This list is a result of compilation and review by CDFW Regional biologists and supervisors (Regions 1-5) and by the Fisheries Branch. The prioritization process considered the following criteria: 1) high likelihood to improve migration for anadromous species; 2) availability of recent data of fish and habitat; 3) willing partners and land access; 4) known political support at a local, State or national level; 5) the site is a barrier to a federal recovery plan \"Core\" population; 6) the watercourse is an eco-regional significant watershed; 7) CDFW is committed to monitoring before, during and after any barrier improvement project is undertaken; and 8) the site is considered to be a \"keystone barrier\", meaning the barrier was the lower-most in that river or creek. Visit https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=63175 to view the 2011 CDFW memo that the creation of this spatial dataset was based on. Compare the point locations found in this dataset to point locations with matching PAD_IDs in the California Fish Passage Assessment Database to get detailed information such as each barrier's current barrier type, passage status, treatment status, and year removed (if applicable).
An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. HabiTrak consolidates the NCCP Habitat Gains and Losses into a single system.
Visual Encounter Transect Surveys of reptiles, amphibians, and other vertebrate wildlife taxa were conducted at a subset of study sites in the Mojave Desert in 2017. A total of 52 transect surveys at 17 study sites were conducted between March and June 2017. For each survey, a single observer walked two 200-meter transects and recorded counts and distances of all wildlife observed. The two transects are laid out as a cross intersecting at a right angle, with this intersection occurring at survey site center. The exact orientation of the cross and the sinuosity of transects was left to the discretion of the surveyor(s) to optimize sampling of the site-designated lifeform and to facilitate ease of travel (e.g., barriers or steep slopes). In the case of a riparian lifeform site, one transect was aligned along or near the stream course, and the second along the gradient extending to either side of the stream course. In the case of a guzzler or wetland, transects were aligned along approximately perpendicular sides. A laser rangefinder was used to accurately measure the perpendicular distance from the transect to the location of each wildlife group at the instance of its initial observation. These data were used for distance sampling methods to estimate abundance, and for comparing 2016 and 2017 data. Whenever possible, these transect surveys overlapped spatially with Time Constrained Searches at the same location.
Time constrained surveys for reptiles and amphibians were conducted at 184 Great Valley study sites, and 107 Mojave Desert sites, between March and June 2017. Whenever possible, three independent surveys of 30 minutes each were conducted over the course of the month-long survey period at each site. Time constrained searches were typically conducted after completion of avian point count surveys. Once the study site lifeform was determined, the observer began their search within the stand, but could move throughout the lifeform. In narrow riparian areas, observers could search the edges of these habitats in addition to the main lifeform. Observers were free to move about anywhere within the lifeform, making sure to check any cover object that was safe to inspect; this included rock crevices, burrows, downed logs, etc. Moved cover objects were to be returned exactly as they were found. When an observation was made, observers recorded the species (six-letter code if known, otherwise full common or scientific names), time of observation, age class (hatchling, juvenile, adult) if possible, confidence level, and a GPS location. Each subsequent TCS was conducted with the same amount of intensity as previous searches.
The TSM study areas were the USDA-defined Great Valley (GV) and Mojave Desert (MD) ecoregions, truncated to California state boundaries. A grid of hexagons adapted from the USDA Forest Inventory and Analysis program, each having an approximate radius of 2,600 meters, was used as the sampling frame. Initially, a spatially-balanced, stratified random sampling approach was used to identify hexagons to be included in the study. Vegetation maps from a variety of sources were used to calculate the total cover of key lifeforms within each ecoregion. These lifeforms were determined based not only on distinct categories of vegetation, but also on habitats or features known or thought to be important to wildlife. A spatially-balanced random sample was drawn for the Mojave Desert ecoregion, while site selection in the Great Valley was more opportunistic based on the greater proportion of private land ownership.To select discrete survey locations within the hexagons, a finer-scale grid of approximately 2,400 points spaced 100 meters apart was created within each selected hexagon; for parcels that did not encompass an entire hexagon, the 100-meter grid was limited to the area within the parcel boundary. Generally, two survey points located 1,000-2,000 meters apart were selected in each hexagon. Initial points were identified by assigning random numbers to all of the grid points in each hexagon, and then selecting the lowest numbered points that met other constraints, including stratified sampling goals and land access restrictions. On rare occasions, more than two sites were located within a given hexagon, but the preferred practice was to avoid duplication or monitoring in adjacent hexagons. Study sites were not repeated between the two years, so that the entire monitoring effort comprised unique locations.
A total of 36 visual encounter quadrat surveys were conducted at a subset of study sites in the Great Valley between April and July 2016. A time-constrained search of 1 hour was conducted within a one-hectare quadrat, which was positioned to overlap survey site center and to be representative of the lifeform associated with the survey site. Waypoints were established at the four corners of a 100m by 100m square, and a single observer systematically surveyed by visually searching for any surface-active reptiles, amphibians, or other terrestrial vertebrates, while also checking under cover objects, crevices, and within burrows using a hand mirror. For each encounter, the observer noted time, substrate, and behavior such as basking, foraging, courtship/reproduction, territoriality, and fleeing. As with transect surveys, all wildlife sign (tracks, scat, burrows, nests) were noted.
Avian point count surveys were conducted at 184 Great Valley study sites, and 107 Mojave Desert sites, between March and June 2017. Whenever possible, three independent point count surveys of five minutes each were conducted over the course of the month-long survey period at each site. To enable relatively accurate distance measurements, observers would mentally mark 50 meters in each cardinal direction using a rangefinder. Observer qualifications determined the complexity of the survey being conducted, with a focal survey recording data for only 25 pre-designated species; for comprehensive surveys, data for all bird species was collected. During survey site establishment visits, a 15-minute quiet period was taken at the point count center prior to starting the survey; subsequent visits only required a 5-minute quiet period. During the quiet period, the observer recorded general information about the survey location, weather, etc. During the point count, observers recorded the name of each species using six letter codes. Individuals of each species were tallied within the three different distance categories: < 50 meters, > 50 meters, and flyover. Birds seen at multiple distances were recorded only at the closest distance. Observers also recorded the confidence level of their observations and the type of detection (aural and/or visual). When individuals were detected at different confidence levels, the observer created distinct entries of the species and separated them by confidence. If an unknown species was detected, the observation was labelled as UNK, numbered, recorded with the technician\u2019s best guess to species ID, and marked at low confidence (e.g. UNK1 \u2013 HOUFIN).
Vegetation surveys were conducted at each Great Valley and Mojave Desert study site between March and June 2017. The surveys followed the California Department of Fish and Wildlife Vegetation Reconnissance Field Protocol and were representative of either the lifeform for which the survey site was selected, or the dominant vegetation type encountered on site, if the preassigned lieform was not found. These reconnaissance vegetation surveys are based on a representative stand with a subset of dominant or characteristic plant species and their cover values recorded rather than a plot based survey. Field crews determined the primary alliance for the stand and identified the dominant species present, along with percent cover and phenology information. If there was any uncertainty in keying to alliance, a secondary alliance was also described, along with any details to aid in later determination. The CDFW Vegetation Classification and Mapping Program reviewed and confirmed or corrected all field assessments herein.
Vegetation surveys were conducted at all Great Valley and Mojave Desert study sites between May and July 2016. These surveys followed the California Native Plant Society/Department of Fish and Wildlife protocol for vegetation rapid assessment and were representative of either the lifeform for which the survey site was selected or the dominant vegetation type encountered on site, if the preassigned lifeform is not found. The rapid assessment sample was based not on a plot but on a single representative stand with 12-20 of the dominant or characteristic species and their cover values recorded. The CDFW Vegetation Classification and Mapping Program reviewed and confirmed or corrected all field assessments herein.
Automated acoustic recorders were deployed at 331 sites across the Mojave Desert ecoregion and 263 sites across the Great Valley ecoregion between March and July of 2016 and 2017. At each survey location, an SM3-BAT bioacoustic recorder was deployed with both an SMM-A1 acoustic microphone and an SMM-U1 ultrasonic microphone (Wildlife Acoustics, Inc., Maynard, MA, USA, hereafter termed ARU). Automated recorders were cable locked to securely-placed T-posts 2 meters above the ground, and were located within 10 meters of the site center at a relatively open spot not occupied by thick vegetation. The ARUs were programmed to record three 5-minute sessions each morning during the survey period, with the first session at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise. The ARUs were also programmed to alternate between 7.5-minute audible acoustic recordings and 22.5-minute triggered, full-spectrum ultrasonic recordings from 30 minutes before sunset until 0400 the following morning, at which time the ultrasonic recordings ceased; the 7.5-minute acoustic recordings continued every 30 minutes until the 5-minute dawn chorus recordings began at 30 minutes before sunrise. Deployments lasted for seven consecutive days, on average. Following the survey, Kaleidoscope Pro version 4.3.2 with the KPro classifier (Wildlife Acoustics, Inc., Maynard, MA, USA) was used to auto-classify file recordings to the species level for bats. Using the probabilistic output from the classifier, files were filtered to retain only those determined to have a misidentification probability less than 0.05. All of the remaining files were then manually reviewed (i.e., examination of diagnostics and spectrograms) to confirm or reject the auto-classified species identification. The automated and post-validated datasets were analyzed using five occupancy modeling frameworks, which differed in how they did or did not address false positive detections.
Automated acoustic recorders were deployed at 331 sites across the Mojave Desert ecoregion and 263 sites across the Great Valley ecoregion between March and July of 2016 and 2017. At each survey location, an SM3-BAT bioacoustic recorder was deployed with both an SMM-A1 acoustic microphone and an SMM-U1 ultrasonic microphone (Wildlife Acoustics, Inc., Maynard, MA, USA, hereafter termed ARU). Automated recorders were cable locked to securely-placed T-posts, with microphones 2 meters above the ground, and were located within 10 meters of the site center at a relatively open spot not occupied by thick vegetation. The ARUs were programmed to record three 5-minute sessions each morning during the survey period, with the first session at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise. The ARUs were also programmed to alternate between 7.5-minute audible acoustic recordings and 22.5-minute triggered, full-spectrum ultrasonic recordings from 30 minutes before sunset until 0400 the following morning, at which time the ultrasonic recordings ceased; the 7.5-minute acoustic recordings continued every 30 minutes until the 5-minute dawn chorus recordings began at 30 minutes before sunrise. Deployments lasted for seven consecutive days, on average.
For the avian acoustic analysis, all birds were surveyed on the acoustic channel from the three 5-minute dawn chorus recordings collected from three mornings during the survey period, preferably from consecutive days. Recordings were reviewed, and bird species identified by song or call. To aid in bird identification, spectrograms were visually examined using Raven Pro software (v. 1.5; Cornell Lab of Ornithology Bioacoustics Research Program, Ithaca, NY, USA). Multispecies hierarchical occupancy models were then used to estimate 1) the probability a given bird species occurred within the area sampled by an acoustic recorder during the survey period, 2) the richness of bird species, and 3) community and species-specific responses to different ecological covariates. For each sampling location, each 5-minute acoustic recording (n = 9) was treated as a repeat survey at that particular site. Occurrence and detection probabilities were assumed to differ between years and among species, and were assumed to be influenced by ecological covariates (e.g., crop cover, forest cover, water availability).
This layer shows critical and non-critical winter and summer ranges, fall holding areas, fawning grounds and migration corridors for deer (Odocoileus hemionus) in CDFW Region 2, North Central Region, Ca. In 1990, CDFW Wildlife Biologists compiled these data from the CDFW Migratory Deer Herd Management Plans, biotelemetry studies, personal knowledge, and predicted use of habitats. These data were subsequently digitized onto USGS 15' quadrangle maps to produce this dataset.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Hunting Zone Boundaries for Pronghorn Antelope See: http://www.dfg.ca.gov/wildlife/hunting/pronghorn/ for details about the Pronghorn Antelope Management Program
NOTE: Hunt boundary shown is an approximation. Hunters are responsible for knowing the exact boundary locations as described within Section 363, Title 14, Calif. Code of Regs
The Vegetation Map of Ca\u00f1ada de San Vicente (CSV), San Diego County, was created by the California Department of Fish and Game (DFG) Vegetation and Mapping Program (VegCAMP). CSV, formerly known as Monte Vista Ranch, was acquired in April 2009 by DFG and is currently not open to the public as the management plan is not complete. The map study area boundary is based on the DFG Lands layer that was published in April, 2011 and includes 4888 acres of land. This includes 115 acres of private land located in the northeast corner of the map that was considered an area of interest (AOI) before purchase by DFG. The map is based on field data from 38 vegetation Rapid Assessment surveys (RAs), 111 reconnaissance points, and 118 verification points that were conducted between April 2009 and January 2012. The rapid assessment surveys were collected as part of a comprehensive effort to create the Vegetation Classification Manual for Western San Diego County (Sproul et al., 2011). A total of 1265 RAs and 18 relev\u00e9s were conducted for this larger project, all of which were analyzed together using cluster analysis to develop the final vegetation classification. The CSV area was delineated by vegetation type and each polygon contains attributes for hardwood tree, shrub and herb cover, roadedness, development, clearing, and heterogeneity. Of 545 woodland and shrubland polygons that were delineated, 516 were mapped to the association level and 29 to the alliance level (due to uncertainty in the association). Of 46 herbaceous polygons that were delineated, 36 were mapped to the group or macrogroup level and 8 were mapped to association. Four polygons were mapped as urban or agriculture. The classification and map follow the National Vegetation Classification Standard (NVCS) and Federal Geographic Data Committee (FGDC) standard and State of California Vegetation and Mapping Standards. The minimum mapping area unit (MMU) is one acre, though occasionally, vegetation is mapped below MMU for special types including wetland, riparian, and native herbaceous and when it was possible to delineate smaller stands with a high degree of certainty (e.g., with available field data). In total, about 45 percent of the polygons were supported by field data points and 55 percent were based on photointerpretation.
This dataset contains in-stream salmonid habitat data summarized at the reach level. The data have been summarized from habitat unit level data collected by CDFW from November 2010 into September 2012. The database represents salmonid stream habitat surveys from 12 streams. Approximately 160 miles of streams were surveyed. The database helps identify and describe in-stream habitat available to anadromous salmonids within watersheds of the Santa Ynez hydrologic unit of the Central Coast Hydrologic Regions. Data were collected using standardized survey techniques according to the version of the \"California Stream Habitat Restoration Manual\" (see Flosi et al.) that was current in the year of survey. Field survey teams measured up to 60 parameters for selected habitat units. Stream surveys typically started at the downstream confluence and proceeded upstream to the \"limit of anadromy\" as assessed by the survey crew. WHAT EACH RECORD REPRESENTS Each record in this dataset represents in-stream habitat unit level data summarized at the stream reach level. A habitat unit is the base level for the stream habitat surveys and is generally determined by the occurrence of riffle, run and pool sections along the stream. Stream reaches are determined by changes in stream channel type as described by Rosgen (1994).
The CDFW Fisheries Restoration Grant Program (FRGP) funds grants for habitat restoration work benefiting salmon and steelhead via an annual Proposal Solicitation process. This shapefile describes the area that the FRGP covers, and was created by clipping the CDFW Region boundaries to the coastal watersheds in which the FRGP funds grants. In some locations, the boundary line matches the CDFW Region boundary. There is some overlap due to the FRGP Region being based on watershed not region. If you find that you need more information on a watershed that you do not see please contact the Data Management Specialist at 916-376-8636.
The mission of the National Fish Habitat Action Plan is to protect, restore, and enhance the nation's fish and aquatic communities through partnerships that foster fish habitat conservation and improve the quality of life for the American people. Reversal of widespread fish habitat degradation will require effective spatial planning, which begins with spatial assessement of current habitat conditions. This dataset presents an assessment of cumulative anthropogenic disturbance to fish habitats in California under the assumption that downstream local habitat conditions will reflect conditions in the catchment upstream. Geographic information systems data was used to attribute 15 disturbance variables to the catchments of mapped river reaches to calibrate an index of cumulative disturbance that considered effects originating from both local and upstream catchments. These features contain local and network catchment human disturbance variables representing anthropogenic alterations to landscapes in California, including land use, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. These variables can be linked to the reaches and catchments of the National Hydrography Dataset Plus (NHDPlus). For more information visit www.fishhabitat.org
This dataset offers a link to the California segment of the Surf Your Watershed service offered by the United States Environmental Protection Agency (EPA). Surf Your Watershed is a service to help locate, use, and share watershed environmental information. A driving force behind Surf Your Watershed is to get environmental information into the hands of active citizens and groups to help those people connect and share information, ideas, and assistance.
The California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the Department's Oak Grove property, San Diego County, California following FGDC and National Vegetation Classification Standards. The vegetation classification was derived from floristic field survey data collected in the field in May 2010 and was based on previously described Alliances and Associations. The map was produced using true-color 2009 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Supplemental imagery including 2005 1-meter California Color Infrared (CIR) and true-color 1-foot aerial imagery available through GlobeXplorer ImageConnect were also used. The minimum mapping unit (MMU) is one acre, with the exception of wetland types, which were sometimes mapped to \u00bd acre. Field verification of 45 percent of the mapped polygons was conducted in June 2011; in combination with the 2010 sampling effort, 83 percent of the polygons were verified in the field.
Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection.
October 2009 Version Data Content: This data set contains all CalWater 2.2.1 Planning Watersheds (PWS) where CDFW has documented summer run steelhead to be present during or after 1990. It was developed for the express purpose of assisting with anadromous fish recovery planning efforts. NOTE: Acreages are calculated for area inside California only. It is important to note that this data set does not attempt to model the entire possible distribution of the species. Rather, it only represents planning watersheds intersecting the known distribution, which is based on where the species has been observed and reported. While the distribution data may indeed represent the extent of the species, generally the upstream extent of the distribution only represents the location of positive sampling or other observations.. Therefore, this data set likely represents an underestimation of the absolute geographic distribution of the species. Data Source: This watershed level data set was derived by intersecting Calwater planning watersheds with point and line features depicting summer run steelhead distribution. These features are derived from a subset of data contained in the Aquatic Species Observation Database (ASOD), a Microsoft Access multi-species observation data capture application. ASOD is an ongoing project developed by the California Department of Fish and Wildlife (CDFW), Northern Region, Environmental Resource Information Services with assistance from CDFW Biogeographic Data Branch and Pacific States Marine Fisheries Commission. These data are based upon confirmed observations of Coho salmon. Effort has been made to identify and correct watersheds that were erroneously selected due to inaccuracies from using data of different scales. The observation data that are the basis for the distribution were compiled from a variety of disparate sources including but not limited to CDFW, U.S. Forest Service, National Marine Fisheries Service, timber companies, and the public. Forms of documentation include CDFW administrative reports, personal communications with biologists, observation reports, and literature reviews. This derived dataset is meant to be continually updated as additional information is acquired. As such, any copy of this dataset is considered to be a snapshot of the known Summer Run Steelhead Distribution at the time of release. It is incumbent upon the user to ensure that they have the most recent version prior to making management or planning decisions. Data Usage: Examples of appropriate uses include: Anadromous fish recovery planning Evaluation of future survey sites for Steelhead Validating steelhead distribution models Examples of inappropriate uses include: Using this data to make parcel or ground level land use management decisions. Using this data set to prove or support non-existence of steelhead at any spatial scale. Assuming that steelhead are prevalent throughout the entire watershed. All users of this data should seek the assistance of qualified professionals such as surveyors, hydrologists, or fishery biologists as needed to ensure that such users possess complete, precise, and up to date information on steelhead distribution and water body location. Please refer to \"Use Constraints\" section below.
2.5 square mile hexagon grid across the state of California. Hexagons were clipped to the Clifornia state boundary. Ecological region sections designations, and county.
Shows ACE project hexagons with no documented rare species occurrences (as of 12/2009), likely representing areas of limited survey data. Biological index values in these areas may be artificially low due to lack of data.
Mitigation Target Areas (MTA) were developed by the California Department of Fish and Game for the Interim Mitigation Strategy (IMS). The MTAs are an identification of generalized target sub-areas for initial priority acquisition under the IMS. The MTAs were developed through collaboration between desert land trust experts, BLM, and CDFG biologists. These sub-areas were known to contain high-quality habitat with parcels that may potentially be available for acquisition under the provisions of SB 34. The selected MTAs are intended only for habitat acquisition under the provisions of SB 34 and do not necessarily correspond with mitigation areas yet to be defined after more detailed analyses under the Desert Renewable Energy Conservation Plan (DRECP) Conservation Strategy. However, it is anticipated that the DRECP Conservation Strategy conservation areas will include portions of the areas designated here as IMS MTAs. The MTAs were developed using ArcGIS 9.3. The sub-regions were selected using 25 square mile hexagons (one of the methods used to display composite spatial data by CDFG - e.g., Bird Species of Special Concern data (WFO 2008)). To identify appropriate MTAs within these sub-regions, the areas were further refined using a standardized, sequential comparison with a series of GIS data layers to select the hexagons with the highest conservation value. The process included examination of the following data: Hexagons that intersected at least one of the following GIS layers were retained: 1. Areas of Conservation Emphasis II (ACE II) - The DRECP includes portions of the ACE II ecoregions: Mojave, Sonoran, and Colorado Deserts, Sierra Nevada, and Southern California Mountains and Valleys. Areas with the highest biological value were retained. 2. California Essential Connectivity Areas (CEHC). 3. Potentially available lands for conservation - hexagons with unclassified or State-owned lands in BLM's Federal and State Surface Estate layer were retained. 4. Mohave ground squirrel core areas and corridors. 5. Active Bighorn sheep range. 6. California Condor final critical habitat and historic range. 7. Coachella Valley Multiple Species Habitat Conservation Plan (CVMSHCP) 8. BLM Areas of Critical Environmental Concern (ACEC), Desert Wildlife Management Areas (DWMA). 9. BLM Wildlife Habitat Management Areas (WHMA): dunes and playas, dry wash woodlands, bighorn sheep, and multiple-species. 10. USFWS Critical Wildlife Habitat: arroyo toad (USFWS 2005), California condor (1974), Coachella Valley fringe-toed lizard (USFWS 1980), desert tortoise (USFWS 1994), and Penisular big horn sheep (USFWS 2009) 11. TNC Ecologically Essential Habitat - Ecologically Essential and Ecologically Intact areas were retained. 12. Biological input from CDFG and USFWS staff. Hexagons were dropped that overlapped entirely with the following: 13. Fully protected lands (Black and Veatch 2008). 14. Military lands; hexagons were cropped at military land boundaries 15. CDFG owned lands Hexagons were also examined against known proposed renewable energy projects. Depending on the area, hexagons were dropped if they overlapped more than 50% with proposed solar projects, BLM Solar Energy Zones, and proposed wind energy projects. Due to the scale size of the hexagons i.e. 25 square miles, some hexagons were retained even though they had more than a 50% renewable energy project footprint if there were no other options to maintain connectivity or reduce fragmentation for target CESA Listed and Candidate Species. Acquisition immediately adjacent to renewable energy projects may be appropriate in some cases, and will be approved by CDFG on a case-by-case basis. The following layers were examined: 16. Solar Energy Study Areas for the Bureau of Land Management (BLM 2009). 17. Renewable Energy Project Applications in California (BLM 2010). 18. Competitive Renewable Energy Zones (CREZ) (CEC 2010). 19. Solar Projects (CEC 2010). 20. Wind Projects (CEC 2010). 21. Department of Fish and Game Renewable Energy Project Applications (CCDFG 2010). Within the resulting areas, individual parcels will be evaluated for potential value as mitigation for target CESA Listed and Candidate Species. Acquisition/restoration/enhancement areas will be further refined and prioritized for desert tortoise using the USFWS's desert tortoise spatial decision support system.
The data set captures California Fish & Game Code section 1505 as stream events on CalHydro 100k hydrography, a CalFish developed derivitave of the National Hydrography Medium Resolution Dataset. For convenience, the stream events have been converted into a shapefile.
A product of the California Essential Habitat Connectivity Project - http://www.dfg.ca.gov/habcon/connectivity/, potential riparian connections were extracted from the Statewide 1:100k Routed Hydrography for California dataset (CDFG, Pacific States Marine Fisheries Commission September 2003 - see original metadata elsewhere in this document). The original data file is a 1:100,000-scale stream-based routed hydrography covering the entire State of California. Named rivers and streams that were 30,000 feet in length or longer were extracted from the dataset and added to Figures 3.1 to 3.9 in the report. These potential riparian connections were added to illustrate the contribution of streams and rivers in providing additional avenues for terrestrial and aquatic connectivity to the network of Natural Landscape Blocks and Essential Connectivity Areas. This analysis was conducted by SC Wildlands.
The California Department of Transportation (Caltrans) and California Department of Fish and Game (CDFG) commissioned the California Essential Habitat Connectivity Project because a functional network of connected wildlands is essential to the continued support of California's diverse natural communities in the face of human development and climate change. The Essential Connectivity Map depicts large, relatively natural habitat blocks that support native biodiversity (Natural Landscape Blocks) and areas essential for ecological connectivity between them (Essential Connectivity Areas). This coarse-scale map was based primarily on the concept of ecological integrity, rather than the needs of particular species. Essential Connectivity Areas are placeholder polygons that can inform land-planning efforts, but that should eventually be replaced by more detailed Linkage Designs, developed at finer resolution based on the needs of particular species and ecological processes. It is important to recognize that even areas outside of Natural Landscape Blocks and Essential Connectivity Areas support important ecological values that should not be \"written off\" as lacking conservation value. Furthermore, because the Essential Habitat Connectivity Map was created at the statewide scale, based on available statewide data layers, and ignored Natural Landscape Blocks smaller than 2,000 acres squared, it has errors of omission that should be addressed at regional and local scales.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The Office of Spill Prevention and Response (OSPR) Incident Tracking Database is a statewide oil spill tracking information system. The data are collected by OSPR Field Response Team members for Marine oil spills and by OSPR Inland Pollution Coordinators and Wardens for Inland incidents.
The database represents delineations of aspen stands associated with stand assessment data (PLUMAS_NF_FEATHERRIVER_PTS) collected in aspen stands in the Plumas National Forest, Feather River Ranger District (Plumas County); field surveys and assessments were conducted by trained USFS staff. This is the current completed data set for aspen distribution of land administered by this agency. Aspen stands were assessed and delineated using a protocol developed by the lead investigators at the Feather River Ranger District. Data captures location of aspen stands and vegetative characteristics of the aspen stand. Associated with this polygon layer is a point layer (PLUMAS_NF_FEATHERRIVER_PTS) containing aspen stand assessments conducted in conjunction with the aspen stand delineations. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected within aspen stands in the Plumas National Forest, Feather River Ranger District (Plumas County); field surveys and assessments were conducted by trained USFS staff. This is the current completed data set for aspen distribution of land administered by this agency. Aspen stands were assessed and delineated using a protocol developed by the lead investigators at the Feather River Ranger District. Data captures location of aspen stands and vegetative characteristics of the aspen stand. Associated with this point layer is a polygon layer (PLUMAS_NF_FEATHERRIVER_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected within aspen stands in the Plumas National Forest, Beckwourth Ranger District (Plumas County); field surveys and assessments were conducted by trained USFS staff. This is the current completed data set for aspen distribution of land administered by this agency. Aspen stands were assessed and delineated using a protocol developed by the lead investigators at the Beckwourth Ranger District. Data captures location and vegetative characteristics of aspen stands. Associated with this point layer is a polygon layer (PLUMAS_NF_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected with known aspen stands in the Klamath National Forest, Siskiyou County, California. The associated Klamath National Forest Region 5 Existing Vegetation aspen layer (KLAMATH_NF_KNF_VEG_POLY) was derived from LANDSAT TM imagery, SPOT imagery, orthophotos, aerial photos and auxiliary layers (Source data: Region 5 Forestland And Resource Data Base GIS And Oracle Data Dictionary 4/14/95'.) The stands were classified based upon conditions such as primary and dominant tree species, tree size, and tree density as determined by both the CALVEG system and California Wildlife Habitat Relationships system. Associated with this point layer is a polygon layer (KLAMATH_NF_KNF_VEG_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected within aspen stands in the Klamath National Forest, Siskiyou County, California. The Ecological Unit Inventory is a data set compiled by the Klamath National Forest between 1991 and 1999. Aspen stands were interpreted using USGS 1m resolution grey scale aerial photography (DOQQ's) captured during the summer of 1993. The associated polygon layer (KLAMATH_NF_EUI_POLY) was digitized on a computer screen using the aerial photography to identify stand boundaries. The stands were evaluated based on criteria that included seral stage, tree size, primary and secondary dominant trees species, and vegetation category type. Associated with this point layer is a polygon layer (KLAMATH_NF_EUI_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected within known aspen stands in the Inyo National Forest, Inyo County, California. The Inyo National Forest assessed aspen as a part of the Terrestrial Ecological Unit Inventory (TEUI). This data were gathered during the summers of 2005. The purpose of the TEUIs is to identify ecological map units and ecological types and interpretations for ecosystem management and planning. The aspen are within the Potential Natural Vegetation (PNV) layer, which is a base layer of the TEUIs. The associated Polygon layer delineates stands based on dominant vegetation types from aerial imagery and field verification. Associated with this point layer is a polygon layer (INYO_NF_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents aspen stand locations and field assessments conducted in the Eldorado National Forest, Eldorado and Amador Counties, California. Data was gathered during the summers of 1999-2001. Assessments were conducted primarily by volunteers for the USDA Forest Service. Assessments were conducted within known aspen stands in the region, or stands identified during field surveys. The survey method was not intended to capture all known aspen sites in this region, and so this data does not represent a comprehensive map of aspen stands in the region. Aspen stands were assessed using a protocol developed by the Eldorado National Forest. Basic Information gathered included location and vegetative characteristics, and if browsing of the aspen was present or absent. Associated with this point layer is a polygon layer (ELDORADO_NF_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The database represents point locations and associated stand assessment data collected within aspen stands in the Lake Tahoe Basin Management Unit (Placer and Eldorado Counties); Alturas Field Office-BLM (Modoc County); California Tahoe Conservancy (Placer and Eldorado Counties), the Stanislaus National Forest (Tuolumne County); Humboldt-Toiyabe National Forest(Alpine County); and Tahoe National Forest (Nevada and Sierra Counties); and the California Department of Fish and Game (Modoc County). This is a multi-agency contributed dataset gathered by the agencies listed above during the summers of 2001-2005. Assessment data and GIS delineations were collected using a standardized protocol developed by members of the Aspen Delineation Project, a cooperative project of the US Forest Service, the Bureau of Land Management and the California Department of Fish and Game. Surveying was completed by foot surveys of watersheds surveyed. This is the current completed data set for aspen distribution of land administered by these agencies. Data captures location of aspen stands and vegetative characteristics of the aspen stand, and if browsing of the aspen was present or absent. Also associated with this database is a polygon layer (ADP_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.
The data was created by reviewing the information contained in the Site Summaries. If the Site Summary contained a latitude/longitude of the location, the ArcView Geotools extension was used to create the point shp file. If the coordinate was not know, the tool was used to identify the coordinate by selecting the location from a georeferenced USGS quad map. The extents were identified from the Site Summary and each extents was copied from the 24K Coast shp file or from the Delta Shp file. The Xtools extension was used to cut and copy each segment to the extents shp file.
The shoreline operational divisions are organized and named according to County boundaries. Within county domains, divisions are boundaries guided by logical geopolitical features such as coastal physical characteristics and land ownership/ management issues, shoreline cleanup logistical considerations, and manageable sized coastline segments (generally not longer than about ten miles although some variation occurs.) Logistics, access, and manageability were driving considerations in this effort, particularly as it relates to types of cleanup operations required and problems likely to be present.
This dataset was created by placing a dot between operational boundaries.
Hunting Zone Boundaries for Deer See: http://www.dfg.ca.gov/wildlife/hunting/deer/ for details about the Deer Management Program NOTE: Hunt boundary shown is an approximation. Hunters are responsible for knowing the exact boundary locations as described within Section 360, Title 14, Calif. Code of Regs
Summer Steelhead Distribution October 2009 Version This dataset depicts observation-based stream-level geographic distribution of anadromous summer-run steelhead trout, Oncorhynchus mykiss irideus (O. mykiss), in California. It was developed for the express purpose of assisting with steelhead recovery planning efforts. The distributions reported in this dataset were derived from a subset of the data contained in the Aquatic Species Observation Database (ASOD), a Microsoft Access multi-species observation data capture application. ASOD is an ongoing project designed to capture as complete a set of statewide inland aquatic vertebrate species observation information as possible. Please note: A separate distribution is available for winter-run steelhead. Contact information is the same as for the above. ASOD Observation data were used to develop a network of stream segments. These lines are developed by \"tracing down\" from each observation to the sea using the flow properties of USGS National Hydrography Dataset (NHD) High Resolution hydrography. Lastly these lines, representing stream segments, were assigned a value of either Anad Present (Anadromous present). The end result (i.e., this layer) consists of a set of lines representing the distribution of steelhead based on observations in the Aquatic Species Observation Database. This dataset represents stream reaches that are known or believed to be used by steelhead based on steelhead observations. Thus, it contains only positive steelhead occurrences. The absence of distribution on a stream does not necessarily indicate that steelhead do not utilize that stream. Additionally, steelhead may not be found in all streams or reaches each year. This is due to natural variations in run size, water conditions, and other environmental factors. The information in this data set should be used as an indicator of steelhead presence/suspected presence at the time of the observation as indicated by the 'Late_Yr' (Latest Year) field attribute. The line features in the dataset may not represent the maximum extent of steelhead on a stream; rather it is important to note that this distribution most likely underestimates the actual distribution of steelhead. This distribution is based on observations found in the ASOD database. The individual observations may not have occurred at the upper extent of anadromous occupation. In addition, no attempt was made to capture every observation of O. mykiss and so it should not be assumed that this dataset is complete for each stream. The distribution dataset was built solely from the ASOD observational data. No additional data (habitat mapping, barriers data, gradient modeling, etc.) were utilized to either add to or validate the data. It is very possible that an anadromous observation in this dataset has been recorded above (upstream of) a barrier as identified in the Passage Assessment Database (PAD). In the near future, we hope to perform a comparative analysis between this dataset and the PAD to identify and resolve all such discrepancies. Such an analysis will add rigor to and help validate both datasets. This dataset has recently undergone a review. Data source contributors as well as CDFG fisheries biologists have been provided the opportunity to review and suggest edits or additions during a recent review. Data contributors were notified and invited to review and comment on the handling of the information that they provided. The distribution was then posted to an intranet mapping application and CDFG biologists were provided an opportunity to review and comment on the dataset. During this review, biologists were also encouraged to add new observation data. This resulting final distribution contains their suggestions and additions. Please refer to \"Use Constraints\" section below.
Winter Steelhead Distribution June 2012 Version This dataset depicts observation-based stream-level geographic distribution of anadromous winter-run steelhead trout, Oncorhynchus mykiss irideus (O. mykiss), in California. It was developed for the express purpose of assisting with steelhead recovery planning efforts. The distributions reported in this dataset were derived from a subset of the data contained in the Aquatic Species Observation Database (ASOD), a Microsoft Access multi-species observation data capture application. ASOD is an ongoing project designed to capture as complete a set of statewide inland aquatic vertebrate species observation information as possible. Please note: A separate distribution is available for summer-run steelhead. Contact information is the same as for the above. ASOD Observation data were used to develop a network of stream segments. These lines are developed by \"tracing down\" from each observation to the sea using the flow properties of USGS National Hydrography Dataset (NHD) High Resolution hydrography. Lastly these lines, representing stream segments, were assigned a value of either Anad Present (Anadromous present). The end result (i.e., this layer) consists of a set of lines representing the distribution of steelhead based on observations in the Aquatic Species Observation Database. This dataset represents stream reaches that are known or believed to be used by steelhead based on steelhead observations. Thus, it contains only positive steelhead occurrences. The absence of distribution on a stream does not necessarily indicate that steelhead do not utilize that stream. Additionally, steelhead may not be found in all streams or reaches each year. This is due to natural variations in run size, water conditions, and other environmental factors. The information in this data set should be used as an indicator of steelhead presence/suspected presence at the time of the observation as indicated by the 'Late_Yr' (Latest Year) field attribute. The line features in the dataset may not represent the maximum extent of steelhead on a stream; rather it is important to note that this distribution most likely underestimates the actual distribution of steelhead. This distribution is based on observations found in the ASOD database. The individual observations may not have occurred at the upper extent of anadromous occupation. In addition, no attempt was made to capture every observation of O. mykiss and so it should not be assumed that this dataset is complete for each stream. The distribution dataset was built solely from the ASOD observational data. No additional data (habitat mapping, barriers data, gradient modeling, etc.) were utilized to either add to or validate the data. It is very possible that an anadromous observation in this dataset has been recorded above (upstream of) a barrier as identified in the Passage Assessment Database (PAD). In the near future, we hope to perform a comparative analysis between this dataset and the PAD to identify and resolve all such discrepancies. Such an analysis will add rigor to and help validate both datasets. This dataset has recently undergone a review. Data source contributors as well as CDFG fisheries biologists have been provided the opportunity to review and suggest edits or additions during a recent review. Data contributors were notified and invited to review and comment on the handling of the information that they provided. The distribution was then posted to an intranet mapping application and CDFG biologists were provided an opportunity to review and comment on the dataset. During this review, biologists were also encouraged to add new observation data. This resulting final distribution contains their suggestions and additions. Please refer to \"Use Constraints\" section below.
These data are detections of reptiles in 2005 from visual encounter searches of an area constrained to a 100-m radius circle around each of 15 fixed sample points at Spears and Didion Ranches, Placer County, California. Surveys were done three times in April and May by trained observers who searched the entire 100-m radius (3.1 ha) circular plot looking on and under rocks, logs, and debris for reptiles and amphibians. Fifty-eight detections were made of five species of reptiles and one species of amphibian.
These data are detections of reptiles in 2005 from visual encounter searches of an area constrained to a 100-m radius circle around each of 15 fixed sample points at Spears and Didion Ranches, Placer County, California. Surveys were done three times in April and May by trained observers who searched the entire 100-m radius (3.1 ha) circular plot looking on and under rocks, logs, and debris for reptiles and amphibians. Fifty-eight detections were made of five species of reptiles and one species of amphibian.
These data are detections of reptiles in 2005 from visual encounter searches of an area constrained to a 100-m radius circle around each of 15 fixed sample points at Spears and Didion Ranches, Placer County, California. Surveys were done three times in April and May by trained observers who searched the entire 100-m radius (3.1 ha) circular plot looking on and under rocks, logs, and debris for reptiles and amphibians. Fifty-eight detections were made of five species of reptiles and one species of amphibian.
These data are the characteristics and acorn counts from 2005 of individual live oak trees found in 0.05-ha circular habitat plots at Spears and Didion Ranches, Placer County, California. Acorns were counted over a 30-second period at each tree using binoculars. Each count involved two 15-second periods, one counting a lower section of a tree and one counting an upper section. Counts were done in mid-September 2005. Trees were tagged with individually numbered 2\" diameter aluminum tree tags at 4.5 ft above the ground with the tags facing towards the center of the 0.05-ha sampling plot. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points, and there were 2-4 oaks per vegetation plot.
These data are the characteristics of the individual live trees found in 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. To be counted, trees had to be > 4\" dbh and within the 12.6 m radius plot. If a plot number is missing, then there were no trees at the sample points and vegetation plots.
These data are the characteristics of the individual live trees found in 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. To be counted, trees had to be > 4\" dbh and within the 12.6 m radius plot. If a plot number is missing, then there were no trees at the sample points and vegetation plots.
These data are the total number and average number of saplings and seedlings of trees detected from 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Seedlings and saplings were counted from nine 1-square meter (0.56-m radius) circular plots located within each 0.05-ha circular habitat sampling plot. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. One 1-square meter plot was located at the center of 0.05-ha plot, and the eight remaining plots were located 8 m away from the center point at 45 degree intervals in the circular.
These data are the total number and average number of saplings and seedlings of trees detected from 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Seedlings and saplings were counted from nine 1-square meter (0.56-m radius) circular plots located within each 0.05-ha circular habitat sampling plot. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. One 1-square meter plot was located at the center of 0.05-ha plot, and the eight remaining plots were located 8 m away from the center point at 45 degree intervals in the circular.
These data are the total number and average number of saplings and seedlings of trees detected from 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Seedlings and saplings were counted from nine 1-square meter (0.56-m radius) circular plots located within each 0.05-ha circular habitat sampling plot. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. One 1-square meter plot was located at the center of 0.05-ha plot, and the eight remaining plots were located 8 m away from the center point at 45 degree intervals in the circular.
These data are the characteristics of the individual snags (standing dead trees) found at 15 sample points with three 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Twelve of the forty-five 0.05-ha circular plots contained snags. To be counted, snags had to be > 4\" dbh and > 9.8 ft tall and within the 12.6 m radius plot.
These data are the characteristics of the individual snags (standing dead trees) found at 15 sample points with three 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Twelve of the forty-five 0.05-ha circular plots contained snags. To be counted, snags had to be > 4\" dbh and > 9.8 ft tall and within the 12.6 m radius plot.
These data are the characteristics of the individual snags (standing dead trees) found at 15 sample points with three 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. Twelve of the forty-five 0.05-ha circular plots contained snags. To be counted, snags had to be > 4\" dbh and > 9.8 ft tall and within the 12.6 m radius plot.
These data are the detections of Virginia rail (Rallus limicola), Sora (Porzana carolina), and California black rail (Laterallus jamaicensis) from 13 survey points at wetlands at the Spears and Didion Ranch parks in Placer County, California. These detections resulted from playback surveys at these points in April and May 2005.
These data are the detections of Virginia rail (Rallus limicola), Sora (Porzana carolina), and California black rail (Laterallus jamaicensis) from 13 survey points at wetlands at the Spears and Didion Ranch parks in Placer County, California. These detections resulted from playback surveys at these points in April and May 2005.
These data are the detections of Virginia rail (Rallus limicola), Sora (Porzana carolina), and California black rail (Laterallus jamaicensis) from 13 survey points at wetlands at the Spears and Didion Ranch parks in Placer County, California. These detections resulted from playback surveys at these points in April and May 2005.
These data are habitat polygons within a 200-m radius around point locations where wildlife surveys were conducted along 19 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range from Butte to Calaveras counties. These wildlife surveys included point counts of birds (from 10-minute counts) within 100-m radius circles, and playback surveys of hawks and owls. Bird point count surveys were conducted between 25 March 2005 and 30 June 2005, while the hawk and owl surveys were conducted between 28 March 2005 and 19 July 2005. These data are from 74 sample points along the 19 watercourses. Habitat polygons were delineated from DOQQs and then field verified in July-August 2005.
These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.
These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.
These data are summary statistics of abundances of birds counted within 100-m radius circles with 10-minute point counts at multiple sample points along 36 randomly selected watercourses in the foothills of the Sierra Nevada Mountain Range. Bird surveys were conducted between 25 March 2005 and 30 June 2005 along watercourses from Butte to Calaveras counties. These data represent 2,614 detections of 94 species at 144 different sample points along the 36 watercourses.
This layer conatains line data for the red sesbania (Sesbania punicea) database. The database represents historic and current observations by various individuals of occurrences of red sesbania, a non-native invasive plant that currently is invading riparian ecosystems in California. Most occurrences are in the Central Valley, but a few are in the San Francisco Bay area and in a few watersheds to the north. These data were compiled to aid in the eradication and control of the species where it is invasive, as well as to inform the public of its spread. As of February 1, 2006, there were 25 records of linear occurrences maintained in an Access database titled SesbaniaData. Each record represents a line, or linear scattered occurrence of red sesbania.
This layer contains point data for the red sesbania (Sesbania punicea) database. The database represents historic and current observations by various individuals of occurrences red sesbania, a non-native invasive plant that currently is invading riparian ecosystems in California. Most occurrences are in the Central Valley, but a few are in the San Francisco Bay area and in a few watersheds to the north. These data were compiled to aid in the eradication and control of the species where it is invasive, as well as to inform the public of its spread. As of February 1, 2006, there were 91 records of point occurrences maintained in an Access database titled SesbaniaData. Each record represents a point where red sesbania occurs.
Recognizing Montane Meadows and Quaking Aspen communities are a rare and valuable resource to plant and animal species in the Sierra Nevada, this project represents the beginning of a monitoring strategy for the conservation management of these ecosystems. The projects goals and objectives are to develop an accurate inventory of these systems, including high-resolution mapping and classification of community types, and surveys of selected terrestrial and aquatic animal species which depend on them. Other inventory related products include 360\u00b0 photography, online survey reports and dynamic maps. In addition, refinements to electronic data collection tools and applications are provided to enhance future assessment programs.
The project leads for the collection of most of this data were Robert Schaefer and his colleagues at Rocky Mountain Elk Foundation. Elk (11 adult females, 3 adult males) from the Marble Mountain herd were captured and equipped with GPS collars (G2110B/D Advanced Telemetry Systems), transmitting data from 2006-2013. Two study areas were used to collect collar data from the same mountain range (Klamath Mountains), including within the Klamath National Forest and Marble Mountain Wilderness in the north and adjacent to the town of Cecilville in the Shasta-Trinity National Forest to the south. The Marble Mountain herd contains short distance, elevation-based migrants, but this herd generally does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a somewhat nomadic migratory tendency, slowly moving up or down elevational gradients. Some individuals used higher elevation areas throughout the summer, though this pattern was not ubiquitous. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 2-10 hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this analysis allowed for the mapping of the herd\u2019s home range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk in total, including 12 sequences, location, date, time, and average location error as inputs in Migration Mapper to assess home range. Elk were separated into 3 distinct subherds (north - Ukonom; central - Wooley Creek subherd; south \u2013 South Fork subherd) due to non-overlapping data points among regions. North subherd had 2 individuals and 2 home range sequences, central had 2 elk and 3 home range sequences, and the south subherd had 7 individuals and 7 home range sequences. Home range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Population-level home range designations for this herd may expand with a larger sample, filling in some of the gaps between home range polygons in the map. Large water bodies were clipped from the final outputs. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation\u2019s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation\u2019s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2\u20133-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The project leads for the collection of this data were Tim Taylor and Tom Stephenson. Pronghorn (20 adult females) were captured and equipped with GPS collars (Televilt Tellus Iridium, Sweden) transmitting data from 2014-2016. The Bodie-Wassuk herd contains migrants, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a somewhat nomadic migratory tendency, moving between the Bodie Hills east of U.S. Highway 395 in California to a basin west of the Wassuk Range between Aurora Crater and Corey Peak in Nevada. A few collared individuals moved as far north as the Gray Hills, staying west of the Wassuk Range, with one individual moving as far south as the Alkali Valley. Therefore, annual ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 4-hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this migration analysis allowed for the mapping of the herd\u2019s annual range and the identification and prioritization of migration corridors. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 18 migrating pronghorn, including 102 migration sequences, location, date, time, and average location error as inputs in Migration Mapper. The average migration time and average migration distance for pronghorn was 4.85 days and 17.44 km, respectively. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance rate of 1000. Annual range analyses were based on data from 17 pronghorn and 21 year-round sequences using a fixed motion variance of 1000. Annual range designations for this herd may expand with a larger sample, filling in some of the gaps between annual range polygons in the map.
Corridors are visualized based on pronghorn use per cell, with less than or equal to1 pronghorn and less than or equal to 4 pronghorn (20 percent of the sample) representing migration corridors and high use corridors, respectively. Stopovers were calculated as the top 10 percent of the population level utilization distribution during migrations and can be interpreted as high use areas. Stopover polygon areas less than 20,000 m2 were removed, but remaining small stopovers may be interpreted as short-term resting sites, likely based on a small concentration of points from an individual animal. Annual range is visualized as the 50th percentile contour of the annual range utilization distribution.
Notes: As of June 2020 this dataset has been static for several years. Recent versions of NHD High Res may be more detailed than this dataset for some areas, while this dataset may still be more detailed than NHD High Res in other areas. This dataset is considered authoritative as used by CDFW for particular tracking purposes but may not be current or comprehensive for all streams in the state.
National Hydrography Dataset (NHD) high resolution NHDFlowline features for California were originally dissolved on common GNIS_ID or StreamLevel* attributes and routed from mouth to headwater in meters. The results are measured polyline features representing entire streams. Routes on these streams are measured upstream, i.e., the measure at the mouth of a stream is zero and at the upstream end the measure matches the total length of the stream feature. Using GIS tools, a user of this dataset can retrieve the distance in meters upstream from the mouth at any point along a stream feature.** CA_Streams_v3 Update Notes: This version includes over 200 stream modifications and additions resulting from requests for updating from CDFW staff and others***. New locator fields from the USGS Watershed Boundary Dataset (WBD) have been added for v3 to enhance user's ability to search for or extract subsets of California Streams by hydrologic area. *See the Source Citation section of this metadata for further information on NHD, WBD, NHDFlowline, GNIS_ID and StreamLevel. **See the Data Quality section of this metadata for further explanation of stream feature development. ***Some current NHD data has not yet been included in CA_Streams. The effort to synchronize CA_Streams with NHD is ongoing.
NOTE: In 2013, the California Department of Fish and Game (CDFG, DFG) was renamed to California Department of Fish and Widlife (CDFW). This dataset is an update of California lake, reservoir, and pond layers as assembled by the California Department of Fish and Game (DFG). It includes many small and unnamed waterbodies in the High Sierra and California Cascades, some of which are not depicted on USGS 7.5-minute/1:24,000-scale topographic maps. Most data were captured at 1:24,000-scale or better. Waterbodies are represented as single polygons (with islands), with Latitude/Longitude coordinates of waterbody centroids and a unique numeric identifier for each. Waterbody polygons represent shorelines generally at full or near-full levels. A previous version of this dataset did not contain islands. This dataset is considered authoritative as used by CDFW for particular tracking purposes but may not be current or comprehensive for all waterbodies in the state.
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
This is a point layer representing California Department of Fish and Wildlife (CDFW - formerly California Department of Fish and Game - DFG) facilities. In 1995, under the request of John Ellison, the original coverage was created by Teale Data Center using address matching of the DFG phonebook dataset. In March of 1996, Isaac Oshima and Paul Veisze used a SPOT Imagery confirmation process applied to those facilities for which Teale could not find an address match. The update occurred using SPOT View imagery sent to the various DFG facilities. The key personnel were requested to 'ink-in' the actual physical location(s) considered to be the HQ for that particular facility. The maps were then sent back and the correct point was represented in the GIS by a point. In 1999, under Paul Veisze, GIS staff were allocated the task of calling each facility within a region and checking whether the information on file was correct. The dataset was subsequently updated. The data was updated through receiving a database from FASB/Tami Garfio (\"telephone and facility List\"). Point locations are verified by contacting appropriate CDFW staff or cross referencing with google and yahoo maps, gis roads layer, and imagery.
WRA, Inc (WRA) created a fine-scale vegetation map of portions of the Cojo-Jalama Ranches. WRA conducted field reconnaissance assistance for this project, as well as accuracy assessment (AA) field data collection. The primary purpose of the project was to provide a comprehensive overview of habitats, plants, and wildlife to inform planning for land-use, conservation, and ranch-specific activities.
The mapping study area, consists of approximately 24,400 acres of the Cojo-Jalama ranches in unincorporated coastal Santa Barbara County, California. Work was performed on the project between 2012 and 2017. Ranch-wide floristic surveying was conducted from April 2012 to October 2014 to address natural communities and sensitive plant and wildlife species. WRA botanists documented vegetation alliances while on-foot. Site-specific surveys were conducted between 2015 and 2017 collected natural community and sensitive species data to be incorporated into WRA\u2019s long-term geodatabase as supplementary data. WRA botanists then further refined vegetation alliance mapping by conducting accuracy assessment where site-specific surveys were conducted; when terrain made sites inaccessible, field botanists used binoculars to observe plant communities from an appropriate vantage point.
Field maps generated by WRA used high-quality aerial photographs from 2010 to 2012 overlain with 10-foot contour lines. vegetation polygons were then hand-drawn by field biologists and later digitized using ArcGIS software. Trimble Geo XH GPS units with sub-meter accuracy were used by the biologists to map especially small-scale landscape features and rare plant point-occurrences. The minimum mapping unit (MMU) is variable from 1.0 acres to point depending on the map feature type. There was a total of 50 mapping classes. The overall Fuzzy Accuracy Assessment rating for the final vegetation map was not calculated, but much of the map was field checked.
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
This data provides two-dimensional representation of herring spawn areas in subtidal areas of the San Francisco Bay.
This data provides one-dimensional representation of herring spawn areas in shoreline areas of the San Francisco Bay.
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
The Tamalpais Lands Collaborative (One Tam; https://www.onetam.org/), the network of organizations that manage lands on Mount Tamalpais in Marin County, initiated the countywide mapping project with their interest in creating a seamless, comprehensive map depicting vegetation communities across the landscape. With support from their non-profit partner the Golden Gate National Parks Conservancy (https://www.parksconservancy.org/) One Tam was able to build a consortium to fund and implement the countywide fine scale vegetation map.
Development of the Marin fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/) Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation) with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) to develop a Marin County-specific vegetation classification.
High density lidar data was obtained countywide in the early winter of 2019 to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as 6-inch imagery from 2014 and various dates of National Agriculture Imagery Program (NAIP) imagery.
In 2019, a 26-class lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition\u00ae, followed by manual editing.
In 2019, Tukman Geospatial staff and partners conducted countywide reconnaissance fieldwork to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2020, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In the spring of 2021, draft maps were distributed and reviewed by Marin County's community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in June 2021. In total, 107 vegetation classes were mapped with a minimum mapping size of one fifth to one acre, varying by class.
Accuracy assessment plot data were collected in 2019, 2020, and 2021. Accuracy assessment results were compiled and analyzed in the summer of 2021. Overall accuracy of the lifeformmap is 95%. Overall accuracy of the fine-scale vegetation map is 77%, with an overall 'fuzzy' accuracy of 81%.
The Marin County fine-scale vegetation map was designed for a broad audience for use at many floristic and spatial scales. At its most floristically resolute scale, the fine-scale vegetation map depicts the landscape at the National Vegetation Classification alliance level - which characterizes stands of vegetation generally by the dominant species present. This product is useful to managers interested in specific information about vegetation composition. For those interested in general land use and land cover, the lifeform map may be more appropriate. Tomake the information contained in the map accessible to the most users, the vegetation map is published as a suite of GIS deliverables available in a number of formats. Map products are being made available wherever possible by the project stakeholders, including the regional data portal Pacific Veg Map (http://pacificvegmap.org/data-downloads).
This dataset provides basic California Natural Diversity Database (CNDDB) information at the USGS 7.5 minute topographic quad level.
This dataset provides basic California Natural Diversity Database (CNDDB) information at the USGS 7.5 minute topographic quad level.
This dataset provides basic California Natural Diversity Database (CNDDB) information at the California county level.
This dataset provides basic California Natural Diversity Database (CNDDB) information at the California county level.
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
This layer represents the California Department of Fish and Wildlife (CDFW) Region boundaries. CDFW has seven geographically-defined administrative regions. The terrestrial regions are delimited by county boundaries with the exception of the Region 2/Region 3 boundary which is defined as follows: Beginning at the intersection of the Stanislaus County boundary with Interstate 5, continuing north along Interstate 5 to Business 80 (Capital City Freeway) in Sacramento, then west on Business 80 to the Legal Delta boundary, then along the Legal Delta boundary north of Business 80 and Interstate 80 intersecting with Interstate 80 on the west side of the Yolo Bypass, then continuing west on Interstate 80 to the Solano County boundary, then continuing west and north along portions of the Solano, Napa, and Sonoma county boundaries ending at the intersection with the Mendocino County boundary. The Marine Region (Region 7) offshore boundary is represented by the official NOAA Three Nautical Mile Line - a maritime limt that depicts the outer extent of state jurisdiction.
The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
The models also used the CALFIRE-FRAP compiled \"best available\" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the \"best available\" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.
CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size.
The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).
The project lead for the collection of this data was Bob Stafford. Elk (4 adult females, 2 adult males) from the Chimineas herd were captured and equipped with Lotek GPS collars (GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008. The study area was within the La Panza Elk Management Unit, north adjacent to State Highway 166 and largely residing within Carrizo Plains Ecological Reserve with some movement into Los Padres National Forest. State Highway 166 is a likely barrier to movement as no collared elk moved southward across the road to additional habitats. The Chimineas herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this analysis allowed for the mapping of the herd\u2019s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 5 elk in total, including 7 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the Cedar Canyon herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north of State Highway 58 in the Temblor Range and largely residing on private lands. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this analysis allowed for the mapping of the herd\u2019s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the California Valley herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north adjacent of State Highway 58 in the Carrizo Plain and largely residing on a patchwork of private lands and CDFW\u2019s California Valley. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this analysis allowed for the mapping of the herd\u2019s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
The project lead for the collection of this data was Bob Stafford. Elk (9 adult females, 5 adult males) from the American herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2008 and 2015-2017. The study area was within the La Panza Elk Management Unit, northeast of State Highway 166 and largely residing within Carrizo Plain National Monument and Carrizo Plains Ecological Reserve. The American herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 11-13 hour intervals in the dataset. To improve the quality of the data set as per Bj\u00f8rneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst.
The methodology used for this analysis allowed for the mapping of the herd\u2019s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk in total, including 20 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.
This metadata layer shows the footprint of vegetation mapping projects completed in California that have used the Manual California of Vegetation (MCV 1st edition) or the National Vegatation Classification Standards (MCV 2nd edition/online) as a basis for vegetation classification. It provides basic information about each project. It is current as of June 2022. A second dataset, Vegetation (MCV / NVCS) Sampling Projects - California [ds3103], shows information about sampling-only project areas that currently have no mapping projects associated with them.
This dataset represents the historic ranges of native trout in California. Data were developed by CDFW Heritage and Wild Trout staff.
This service delivers all 4 bands of the NAIP 2012 1-meter resolution aerial imagery. This service may be slower than other related NAIP 2012 services because of the amount and/or format of data being served. Band1=R, Band2=G, Band3=B, Band4=NearIR.
This service is offered by the California Department of Fish and\u00a0Wildlife (CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
This service delivers all 4 bands of the NAIP 2010 aerial imagery. This service may be slower than other related NAIP 2010 services because of the amount and/or format of data being served. Band1=R, Band2=G, Band3=B, Band4=NearIR.
A Normalized Difference Vegetation Index (NDVI) was applied to the source NAIP 2016 imagery. NDVI=(NearIR-Red)/(NearIR+Red). The color ramp (produced by ESRI) goes from brown (less healthy vegetation) to red to green (healthier vegetation or more "greenness").
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Color infrared (CIR) representation of NAIP 2016 60cm aerial imagery. Band1=NearIR, Band2=R, Band3=G.
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Color infrared (CIR) representation of NAIP 2012 1-meter resolution aerial imagery. Band1=NearIR, Band2=R, Band3=G.
A Normalized Difference Vegetation Index (NDVI) was applied to the source NAIP 2010 imagery. NDVI=(NearIR-Red)/(NearIR+Red). The color ramp (produced by ESRI) goes from brown (less healthy vegetation) to red to green (healthier vegetation or more "greenness").
This service delivers all 4 bands of the NAIP 2016 60cm aerial imagery and may be slower than other related NAIP 2016 services because of the amount and/or format of data being served. Band1=R, Band2=G, Band3=B, Band4=NearIR.
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Natural color representation of NAIP 2010 aerial imagery. Band1=R, Band2=G, Band3=B.
A Normalized Difference Vegetation Index (NDVI) was applied to the source NAIP 2009 imagery. NDVI=(NearIR-Red)/(NearIR+Red). The color ramp (produced by ESRI) goes from brown (less healthy vegetation) to red to green (healthier vegetation or more "greenness").
Color infrared (CIR) representation of NAIP 2009 aerial imagery. Band1=NearIR, Band2=R, Band3=G.
This service delivers all 4 bands of the NAIP 2009 aerial imagery. This service may be slower than other related NAIP 2009 services because of the amount and/or format of data being served. Band1=R, Band2=G, Band3=B, Band4=NearIR.
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Natural color representation of NAIP 2005 aerial imagery. Band1=R, Band2=G, Band3=B.
Natural color representation of NAIP 2012 1-meter resolution\u00a0aerial imagery. Band1=R, Band2=G, Band3=B.
This service is offered by the California Department of Fish and\u00a0Wildlife (CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Natural color representation of NAIP 2009 aerial imagery. Band1=R, Band2=G, Band3=B.
Natural color representation of NAIP 2016 aerial imagery. Band1=R, Band2=G, Band3=B.
Color infrared (CIR) representation of NAIP 2010 aerial imagery. Band1=NearIR, Band2=R, Band3=G.
A Normalized Differential Vegetation Index (NDVI) was applied to the source 2005 1-meter resolution color infrared (CIR) imagery. NDVI=(NearIR-Red)/(NearIR+Red). The color ramp (produced by ESRI) goes from brown (less healthy vegetation) to red to green (healthier vegetation or more "greenness"). Lack of statewide color balancing of the source CIR imagery shows inconsistencies in NDVI results between adjacent areas. No access constraints, but there are use constraints (see source product metadata).
The source color infrared (CIR) imagery was acquired during NAIP 2005 flights. The imagery was purchased from the North West Group (NWG) by three state agencies (California Dept. of Fish and Game, California Dept. of Transportation, and California Dept. of Water Resources). No access constraints, but there are use constraints. CIR coverage was not available in all areas. THIS IMAGERY IS NOT A NAIP PRODUCT. Band1=NearIR, Band2=R, Band3=G.
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-Services
Color infrared (CIR) imagery acquired during NAIP 2005 flights. The source CIR 1-meter resolution imagery was purchased from the North West Group (NWG) by three state agencies (California Dept. of Fish and Game, California Dept. of Transportation, and California Dept. of Water Resources). No access constraints, but there are use constraints. CIR coverage was not available in all areas. THIS CIR IMAGERY IS NOT A NAIP PRODUCT. Band1=NearIR, Band2=R, Band3=G.
This\n service is offered by the California Department of Fish and\u00a0Wildlife \n(CDFW).\u00a0 For more information about\u00a0CDFW map services, please visit:\u00a0https://wildlife.ca.gov/Data/GIS/Map-ServicesBIOS is an online map viewer designed to enable the management, visualization, and analysis of biogeographic data collected by the California Department of Fish and\u00a0Wildlife (CDFW) and partner organizations. BIOS facilitates the sharing of those data within CDFW as well as with the public. BIOS integrates GIS, relational database management, and ESRI's ArcGIS Server technology to create a statewide, integrated information management tool that can be accessed via\u00a0the Internet.
BIOS home page:\u00a0https://www.wildlife.ca.gov/Data/BIOS
BIOS public dataset GIS downloads are available from:
This dataset represents the locations of all ongoing and completed Steelhead Report Card projects.