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405 results returned

  1. Title: Major Roads: San Francisco Bay Area, California, 2011

    Contributors:

    Summary: This data comes from a variety of sources developed over the years including ESRI data, Department of Transportation, TIGER and counties. It is not meant to be precisely accurate and represents most of the major roads in California. This was developed by the CLN and GreenInfo Network. Primarily used for cartography. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project and contributed to the developement of the Conservation Lands Network. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Major Roads: San Francisco Bay Area, California, 2011. Bay Area Open Space Council. Available at http://purl.stanford.edu/dv532tj4273. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  2. Title: The Conservation Lands Network regional biodiversity GIS database

    Contributors:

    Summary: by Bay Area Open Space Council Between 2006 and 2011, the Bay Area Open Space Council partnered with 125 regional experts to develop the Conservation Lands Network as a tool for conservation practitioners, landowners, land managers, policy makers and the public. This collection contains vector and raster data related to biodiversity and environmental conservation within the San Francisco Bay Area.

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  3. Title: California Urban Lands: Farmland Mapping and Monitoring Project, 2006

    Contributors:

    Summary: This polygon shapefile depicts urban land coverage for the nine county San Francisco Bay Area Region for 2004-2006. The data comes directly from the Farmland Mapping and Monitoring Program (FMMP), which provides data to decision makers for assessing present status, reviewing trends and planning for the future of California's agricultural land resources. FMMP mapping coverage includes 49.1 million acres, 98% of the state's private lands and is based on the extent of the United States Department of Agriculture Natural Resources Conservation Service soil surveys. Most large government land holdings, including National Parks, Forests, and Bureau of Land Management land, are not included in the FMMP survey area. This layer is part of the Conservation Lands Network regional biodiversity GIS database. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project and contributed to the developement of the Conservation Lands Network. Used for cartographic purposes, this layer can show urban land use in nine county San Francisco Bay Area Region. This is helpful for setting context, as most people recognize urban areas and cities. For example, knowing where Sacramento is located helps when showing a broad regional map. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). California Urban Lands: Farmland Mapping and Monitoring Project, 2006. Bay Area Open Space Council. Available at http://purl.stanford.edu/kh450fm7856. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  4. Title: Shaded Surface Relief: California, 150-Meter Resolution

    Contributors:

    Summary: This raster dataset depicts a 150 meter resolution shaded surface relief of California. This hillshade was generated by GreenInfo Network and was created from a 150m USGS DEM using the hillshade feature in spatial analyst. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project and contributed to the developement of the Conservation Lands Network. Primarily used as a base layer for cartography. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Shaded Surface Relief: California, 150-Meter Resolution. Bay Area Open Space Council. Available at http://purl.stanford.edu/kv016qw0526. None, GNU General Public License (GPL), put in the url. in cased used incorrectly, make $ off it, limit liability. for use constraints This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  5. Title: Polygon Mask: San Francisco Bay Area, California, 2011

    Contributors:

    Summary: This polygon shapefile depicts a mask of the nine county San Francisco Bay Area Region, California, onto which other thematic data can be layered. This layer is part of the Conservation Lands Network regional biodiversity GIS database. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Polygon Mask: San Francisco Bay Area, California, 2011. Bay Area Open Space Council. Available at http://purl.stanford.edu/pq288hb1597. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  6. Title: Stream Conservation Targets: San Francisco Bay Area, California, 2011

    Contributors:

    Summary: This polyline shapefile depicts the streams in the nine county San Francisco Bay Area Region, California, that were identified as Priority 1: 1) The essential streams for steelhead draining to the San Francisco Estuary as identified in Becker et.al. 2007; 2) Streams identified as Core Areas in the Public Draft Recovery Plan for the Evolutionarily Significant Unit of Central California Coast Coho Salmon. Both Dependent and Independent coho streams were given a Priority 1; 3) Historic coho streams in CalFish Coho Distribution data; 4) Streams with high diversity assemblages of warm-water native fish in streams draining to the Bay (Leidy 2008 Report); 5) Best coastal steelhead streams not covered by coho salmon (CalFish Winter Steelhead Distribution and Riparian/Fish Focus Team expert opinion); and 6) The healthiest steelhead streams in the Pajaro River Basin (expert opinion of Riparian/Fish Focus Team and Santa Clara County HCP). Priority 2 Streams Priority 2 streams and watersheds should receive substantial protection and restoration for long-term fish conservation. Priority 2 streams have smaller steelhead, land-locked rainbow trout populations and /or other healthy assemblages of native fish. They may also be isolated stream segments with high conservation value. For example, Upper Stevens Creek in the Santa Cruz Mountains North landscape unit supports resident rainbow trout, California roach and Sacramento sucker; Coyote Creek above Coyote Reservoir supports rainbow trout and five other native fishes. In coastal areas, all identified winter steelhead streams were included as Priority 2. These include the majority of streams with any connection to the ocean. The following streams were identified as Priority 2: 1) Streams draining to the San Francisco Estuary with less healthy steelhead runs (Becker et al. (2007) than those marked Priority 1; 2) Streams draining to the San Francisco Estuary with assemblages of native fish other than steelhead (Leidy 2008); 3) Streams in the Pajaro River Basin with less healthy steelhead runs (Riparian/Fish Focus Team expert opinion and Santa Clara County Habitat Conservation Plan); 4) Coastal streams with steelhead draining into coho streams, including the Russian River basin (CalFish Winter Steelhead Distribution); 5) Streams draining to the San Francisco Estuary with landlocked rainbow trout (Leidy 2008); and 6) Streams with "reservoir anadromy," where fish grow large in the reservoir and run upstream to spawn. Streams with such potential are listed below; there may be others in smaller reservoirs not listed. These streams largely overlap with Priority 2 streams supporting other native fish assemblages: a) Calaveras Reservoir, b) San Antonio Reservoir, c) Lake del Valle, d) Anderson Reservoir, e) Coyote Reservoir, f) Lake Sonoma, g) Lake Hennessey, h) Chesbro Reservoir, i) Lake Chabot, j) San Pablo Reservoir, k) Stevens Creek Reservoir, and l) Uvas Reservoir. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Stream Conservation Targets: San Francisco Bay Area, California, 2011. Bay Area Open Space Council. Available at http://purl.stanford.edu/nk517ts9789. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  7. Title: Super Planning Watersheds: San Francisco Bay Area, California, 2009

    Contributors:

    Summary: This polygon shapefile depicts a dissolve that was run on the super planning watersheds for the nine county San Francisco Bay Area Region, California. Super planning watersheds are those ranging in size from 78-194 square miles or 50,000-124,999 acres (Myers & Peltz-Lewis, 2004). Watersheds are useful for many aspects of the Project, including development of watershed integrity analysis. This data was derived from the California Watershed Map (CalWater version 2.2), a set of standardized watershed boundaries meeting standardized delineation criteria. The hierarchy of watershed designations consists of six levels of increasing specificity: Hydrologic Region (HR), Hydrologic Unit (HU), Hydrologic Area (HA), Hydrologic Sub Area (HSA), Super Planning Watershed (SPWS), and Planning Watershed (PWS). The primary purpose of CalWater is the assignment of a single, unique code to a specific watershed polygon. These data were critical for the Fish and Riparian Focus Team portion of the Project. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Super Planning Watersheds: San Francisco Bay Area, California, 2009. Bay Area Open Space Council. Available at http://purl.stanford.edu/xg146zh9066. Source metadata and data available at: http://frap.cdf.ca.gov/data/frapgisdata-sw-calwater_download.php This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  8. Title: Cultivated Lands: San Francisco Bay Area, California, 2008

    Contributors:

    Summary: This polygon shapefile depicts cultivated lands in the nine county San Francisco Bay Area Region, California. This data was derived from the California Department of Conservation Farmland Mapping and Monitoring Program (FMMP) data. FMMP defines Cultivated Land as arable land that is worked by plowing, sowing and raising of crops. The county data was merged into one dataset. The categories that the Conservation Lands Network (CLN) Project considered Cultivated Agriculture were pulled out and compiled for this dataset. Attributes are as follows: Prime Farmland (P), Farmland of Statewide Importance (S) and Unique Farmland (U). The Cultivated Agriculture is an important layer in the development of the CLN. These areas became part of the "Converted" lands and were extracted out of the final CLN. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Cultivated Lands: San Francisco Bay Area, California, 2008. Bay Area Open Space Council. Available at http://purl.stanford.edu/dq887jx8651. California Department of Conservation Farmland Mapping and Monitoring Program data: http://www.consrv.ca.gov/DLRP/fmmp/Pages/index.aspx This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  9. Title: Breeding Birds (Blocks): San Francisco Bay Area, California, 2002

    Contributors:

    Summary: This polygon shapefile depicts field observations of where each bird species nests within the nine county San Francisco Bay Area Region, California. This grid dataset displays the specific areas where breeding evidence was found. Field observation codes include: 1 for Observed, 2 for Possible, 3 for Probable and 4 for Confirmed. This data was used during the Bird Focus ProjectTeam. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Breeding Birds (Blocks): San Francisco Bay Area, California, 2002. Bay Area Open Space Council. Available at http://purl.stanford.edu/ht574ns9881. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  10. Title: Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007

    Contributors:

    Summary: This raster dataset depicts dry nitrogen deposition for the nine county San Francisco Bay Area Region, California. Dry nitrogen deposition is the input of reactive nitrogen from the atmosphere into the biosphere as dry deposition, or acidic gases and particles. An overabundance of nitrogen in the atmosphere and environment has deleterious effects on the biosphere. The source data was produced by the Center for Conservation Biology at the University of California, Riverside (UCR) and is based on a nitrogen deposition model data developed by the UCR College of Engineering Center for Environmental Research and Technology (CE-CERT). Text values from the dry nitrogen deposition model were processed to provide the values stored in this raster. The model used here is total annual deposition and based on data from calendar year 2002. These data are considered useful in studying the effect of nitrogen deposition on aspects of complex biological systems. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at http://purl.stanford.edu/rd798dc1199. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Dry Nitrogen Deposition: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at: http://purl.stanford.edu/ct748xp2379 Source data available at: http://ccb.ucr.edu/biocommaps.html This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  11. Title: Fire Regime and Condition Class: San Francisco Bay Area, California, 2003

    Contributors:

    Summary: Wildfire can cause serious and long-lasting damage to ecosystems. Following National Fire Plan concepts, this raster dataset depicts the California Department of Forestry and Fire Protection Fire Resource and Protection Program's (FRAP) use of data specific to the nine county San Francisco Bay Area Region, California to describe ecosystems and fire-related metrics used in other analyses to define and describe fire-related risks to ecosystems. Fundamental to this idea is that current expected fires are compared to historic fire regimes with respect to fire frequency, size, patchiness and effects on key ecosystem elements and processes. Thus, these classes are then assigned based on current vegetation type and structure, an understanding of its pre-settlement fire regime and current conditions regarding expected fire frequency and potential fire behavior. As a result of these efforts, Condition Classes were defined as the “relative risk of losing key components that define an ecosystem" (Hardy et al., 2001). Source data was compiled by the California Department of Forestry and Fire Protection. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Fire Regime and Condition Class: San Francisco Bay Area, California, 2003. Bay Area Open Space Council. Available at http://purl.stanford.edu/tp856vy3579. Source metadata and data available at: http://frap.fire.ca.gov/data/frapgisdata-subset.php This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  12. Title: Tree Vole Range (Reverse Polygon Mask): San Francisco Bay Area, California, 2008

    Contributors:

    Summary: This polygon shapefile depicts the range map the Sonoma tree vole (Arborimus pomo) that were pulled out and then reversed so the polygon represents areas outside of their range. This creates a mask so the actual species ranges can be shown while the area outside of its range can be masked out. Vector datasets are a component of the California Wildlife Habitat Relationships (CWHR) range maps, 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 694 species of amphibians, reptiles, birds and mammals known to occur regularly in the state. 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. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Tree Vole Range (Reverse Polygon Mask): San Francisco Bay Area, California, 2008. Bay Area Open Space Council. Available at http://purl.stanford.edu/jg258hz7416. The following information describes, and should always accompany, the California Department of Fish and Game's California Wildlife Habitat Relationship System (CWHR) species distribution data. The data is organized into four folders according to the four major taxonomic groups in CWHR: amphibians, reptiles, birds and mammals. Each species is represented by a single shapefile and is named according to its 4 digit alpha-numeric CWHR ID code. The file lookup.xls contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history. Each layer contains two attributes: a season code and a SHAPE_NAME or CWHR ID code. Season codes include S for summer-only, W for winter-only, and Y for yearlong. A few species have a migration-only stopover location mapped and represented with an "M". The CWHR System software contains species predictions for migration-only locations, yet most of these are not mapped. The CWHR species range maps are continually being reviewed and updated as new animal occurrence data becomes available, especially in digital format. While the original maps were digitized from 1:5,000,000 scale depictions of range, a major revision effort started in 1995 to have maps reviewed and delineated by species-level experts at a scale of 1:1,000,000. Maps dated later than 1995 are therefore much more detailed and precise in their representation of a species' range. Increasingly, species-level experts and CWHR staff have made every effort, where justified by the distribution of known species observations or known habitat associations, to represent a species' range with standard polygons of major geographic features in California such as mountain ranges, valleys, buffered river corridors, and ecological subsections of California. The smallest units of the "Ecological subregions of California: section and subsection descriptions" (Miles and Goudy, 1997. USDA Forest Service Report No. R5-EM-TP-005) capture areas with very similar soils, vegetation, precipitation, geology, climate, and geography. In cases where a population of a species is known to be isolated, its point location is buffered to a minimum radius of 2 miles. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  13. Title: Digital Elevation Model (30m): San Francisco Bay Area, California, 2011

    Contributors:

    Summary: This raster dataset depicts a 30 meter resolution Digital Elevation Model (DEM) stitched together for the nine county San Francisco Bay Area Region, California. This layer is used to create viewsheds, hillshades, slope, aspect, etc. for a variety of analyses. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Digital Elevation Model (30m): San Francisco Bay Area, California, 2011. Bay Area Open Space Council. Available at http://purl.stanford.edu/nh236hj3673. United States Geological Survey National Map data: http://seamless.usgs.gov/ This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  14. Title: Mountain Lion Range (Reverse Polygon Mask): San Francisco Bay Area, California, 2008

    Contributors:

    Summary: This polygon shapefile depicts the range map the mountain lion (Puma concolor) that were pulled out and then reversed so the polygon represents areas outside of their range. This creates a mask so the actual species ranges can be shown while the area outside of its range can be masked out. Vector datasets are a component of the California Wildlife Habitat Relationships (CWHR) range maps, 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 694 species of amphibians, reptiles, birds and mammals known to occur regularly in the state. 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. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Mountain Lion Range (Reverse Polygon Mask): San Francisco Bay Area, California, 2008. Bay Area Open Space Council. Available at http://purl.stanford.edu/nh901ng6523. The following information describes, and should always accompany, the California Department of Fish and Game's California Wildlife Habitat Relationship System (CWHR) species distribution data. The data is organized into four folders according to the four major taxonomic groups in CWHR: amphibians, reptiles, birds and mammals. Each species is represented by a single shapefile and is named according to its 4 digit alpha-numeric CWHR ID code. The file lookup.xls contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history. Each layer contains two attributes: a season code and a SHAPE_NAME or CWHR ID code. Season codes include S for summer-only, W for winter-only, and Y for yearlong. A few species have a migration-only stopover location mapped and represented with an "M". The CWHR System software contains species predictions for migration-only locations, yet most of these are not mapped. The CWHR species range maps are continually being reviewed and updated as new animal occurrence data becomes available, especially in digital format. While the original maps were digitized from 1:5,000,000 scale depictions of range, a major revision effort started in 1995 to have maps reviewed and delineated by species-level experts at a scale of 1:1,000,000. Maps dated later than 1995 are therefore much more detailed and precise in their representation of a species' range. Increasingly, species-level experts and CWHR staff have made every effort, where justified by the distribution of known species observations or known habitat associations, to represent a species' range with standard polygons of major geographic features in California such as mountain ranges, valleys, buffered river corridors, and ecological subsections of California. The smallest units of the "Ecological subregions of California: section and subsection descriptions" (Miles and Goudy, 1997. USDA Forest Service Report No. R5-EM-TP-005) capture areas with very similar soils, vegetation, precipitation, geology, climate, and geography. In cases where a population of a species is known to be isolated, its point location is buffered to a minimum radius of 2 miles. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  15. Title: Winter Steelhead Distribution: San Francisco Bay Area, California, 2007

    Contributors:

    Summary: The data was clipped to the Bay Area. Winter Steelhead Distribution (CalFish) June 2007 Version This polyline shapefile depicts observation-based, stream-level geographic distribution of anadromous steelhead trout (Oncorhynchus mykiss irideus) during winter months in the nine county San Francisco Bay Area Region, 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. 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 United States Geological Survey National Hydrography Dataset (NHD) High Resolution hydrography. Lastly these lines, representing stream segments, were assigned a value of either Anad Present (Anadromous present) or Unsp Present (Unspecified O. mykiss present). The resulting layer consists of a set of lines representing the winter distribution of steelhead. 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 dataset 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. The individual observations may not have occurred at the upper extent of anadromous occupation. In addition, no attempt was made to capture every observation, so it should not be assumed that this dataset is complete for each stream. 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 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 California Department of Fish and Wildlife (CDFW) fisheries biologists were provided the opportunity to review and suggest edits or additions during the review. Initially, 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 CDFW 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. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Winter Steelhead Distribution: San Francisco Bay Area, California, 2007. Bay Area Open Space Council. Available at http://purl.stanford.edu/jw390yx2678. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  16. Title: Landscape Units: San Francisco Bay Area, California, 2006

    Contributors:

    Summary: This raster dataset depicts a final version of the Coarse Filter Vegetation Map as a 30 meter grid with 61 cover types, 51 of which are natural or semi-natural land cover, for the nine county San Francisco Bay Area Region, California. This dataset includes only vegetation by landscape unit and has not been combined with Protected Lands, therefore does not include Protected Lands status. See Resource Details for detailed data compilation description. This is useful for generating the Coarse Filter conservation target acreage goals. This data was compiled from data sourced from the United States Department of Agriculture Forest Service, The Nature Conservancy and the California Department of Forestry and Fire. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Landscape Units: San Francisco Bay Area, California, 2006. Bay Area Open Space Council. Available at: http://purl.stanford.edu/qf294vs3977 Same as the cln_veg except this includes only veg by landscape unit and has not been combined with protected lands therefore does not have protected lands status. This is the vegetation dataset created specifically for the Upland Habitat Goals Project. The coarse filter vegetation targets were generated from this dataset. For a full description of the development of the coarse filter vegetation map along with helpful maps and graphics, see chapter 5 (Coars Filter and Vegetation Representation Analysis) in the final report. The first challenge faced by the Vegetation Focus Team was the lack of a consistent vegetation map covering the region. The team's preferred vegetation classification system was Manual of California Vegetation (Sawyer et.al. 2009) (MCV) because of the detail it provides. But, only a few areas within the Upland Habitat Goals Study Area have been mapped using MCV. An alternative vegetation classification system developed by the US Forest Service, CalVeg, covers almost the entire region but has some spatial inaccuracies and lacks sufficient detail for annual grasslands, shrub communities, riparian corridors, and isolated wetlands. The Vegetation Focus Team agreed to use a modified version of CalVeg, referred to as the Upland Habitat Goals Coarse Filter Vegetation Map, which provided adequate and consistent coverage for the full study area. The Coarse Filter Vegetation Map is a composite of several data sources: 1. The USDA Forest Service CalVeg Vegetation Map (CalVeg). CalVeg is the primary source of the vegetation data. 2. The Nature Conservancy's Composite Vegetation Map (TNC Composite). Developed by the Nature Conservancy for the Central Coast Ecoregional Plan, this composite of the California Department of Forestry Hardwoods and GAP (Holland 1986) was used to fill in two gaps in coverage by CalVeg. 3. The California Department of Forestry and Fire Multi-Source Vegetation Map (CDF Multi-Source). This composite of the California Department of Forestry Hardwoods, the Department of Conservation Farmland Mapping and Monitoring Program (FMMP), and the Department of Fish and Game California Vernal Pool Assessment was used to fill in a gap in CalVeg coverage in the Suisun Marsh region of Solano County. Starting with this composite vegetation map, the team made two primary enhancements. First, a serpentine geology layer from the USDA Natural Resources Conservation Service (NRCS) State Soil Geographic (STATSGO) Database was added to capture the unique vegetation types found on serpentine soils. Second, a climatic stratification was used to differentiate the approximately one million acres identified as Annual Grasslands in CalVeg. These grasslands were separated into Cool, Moderate, Warm, and Hot Grasslands based on July maximum temperatures established by PRISM (800-meter scale Parameter-elevation Regressions on Independent Slopes Model), a climate mapping system developed at Oregon State University. Figure 5.2 illustrates these temperature stratifications. Riparian Vegetation Riparian areas pose special challenges at the regional scale of the Upland Habitat Goals Project. While the Coarse Filter Vegetation Map captures the larger patches of riparian forests as mapped by CalVeg, it misses the many narrow ribbons of remnant riparian habitat. It also fails to capture the complex mix of local and watershed-scale processes operating in riparian areas, which are critical to biodiversity for all species groups. To capture these smaller riparian areas, the USGS National Hydrologic Database (NHD) was used in the fine filter process to define stream corridors with riparian habitat potential; the streams are included in the final Conservation Lands Network. Converted Lands The last step in the development of the Coarse Filter Vegetation Map added the Farmland Mapping and Monitoring Program (FMMP) Urban and Cultivated Agricultural data, and identified rural residential parcels less than 10 acres. Appendix B: Chapter 5 describes how the Rural Residential 10 data layer was created. The FMMP data was more current (2008) than similar land use types in CalVeg, and rural residential parcels are typically found on the urban fringe and of lower conservation suitability. Collectively, these areas are referred to as "Converted Lands" and are illustrated in Figure 5.3. Converted Lands were occasionally selected by Marxan for inclusion in the Conservation Lands Network if they contained conservation targets needed to meet the 90%, 75%, or 50% goals, or the 247-acre hexagon included 10% or more of protected lands. As noted in Chapter 4, lands over-selected by Marxan were removed except for the location of the target. Riparian Vegetation Riparian areas pose special challenges at the regional scale of the Upland Habitat Goals Project. While the Coarse Filter Vegetation Map captures the larger patches of riparian forests as mapped by CalVeg, it misses the many narrow ribbons of remnant riparian habitat. It also fails to capture the complex mix of local and watershed-scale processes operating in riparian areas, which are critical to biodiversity for all species groups. To capture these smaller riparian areas, the USGS National Hydrologic Database (NHD) was used in the fine filter process to define stream corridors with riparian habitat potential; the streams are included in the final Conservation Lands Network. Converted Lands The last step in the development of the Coarse Filter Vegetation Map added the Farmland Mapping and Monitoring Program (FMMP) Urban and Cultivated Agricultural data, and identified rural residential parcels less than 10 acres. Appendix B: Chapter 5 describes how the Rural Residential 10 data layer was created. The FMMP data was more current (2008) than similar land use types in CalVeg, and rural residential parcels are typically found on the urban fringe and of lower conservation suitability. Collectively, these areas are referred to as "Converted Lands" and are illustrated in Figure 5.3. Converted Lands were occasionally selected by Marxan for inclusion in the Conservation Lands Network if they contained conservation targets needed to meet the 90%, 75%, or 50% goals, or the 247-acre hexagon included 10% or more of protected lands. As noted in Chapter 4, lands over-selected by Marxan were removed except for the location of the target. Riparian Vegetation Riparian areas pose special challenges at the regional scale of the Upland Habitat Goals Project. While the Coarse Filter Vegetation Map captures the larger patches of riparian forests as mapped by CalVeg, it misses the many narrow ribbons of remnant riparian habitat. It also fails to capture the complex mix of local and watershed-scale processes operating in riparian areas, which are critical to biodiversity for all species groups. To capture these smaller riparian areas, the USGS National Hydrologic Database (NHD) was used in the fine filter process to define stream corridors with riparian habitat potential; the streams are included in the final Conservation Lands Network. Converted Lands The last step in the development of the Coarse Filter Vegetation Map added the Farmland Mapping and Monitoring Program (FMMP) Urban and Cultivated Agricultural data, and identified rural residential parcels less than 10 acres. Appendix B: Chapter 5 describes how the Rural Residential 10 data layer was created. The FMMP data was more current (2008) than similar land use types in CalVeg, and rural residential parcels are typically found on the urban fringe and of lower conservation suitability. Collectively, these areas are referred to as "Converted Lands" and are illustrated in Figure 5.3. Converted Lands were occasionally selected by Marxan for inclusion in the Conservation Lands Network if they contained conservation targets needed to meet the 90%, 75%, or 50% goals, or the 247-acre hexagon included 10% or more of protected lands. As noted in Chapter 4, lands over-selected by Marxan were removed except for the location of the target. Riparian Vegetation Riparian areas pose special challenges at the regional scale of the Upland Habitat Goals Project. While the Coarse Filter Vegetation Map captures the larger patches of riparian forests as mapped by CalVeg, it misses the many narrow ribbons of remnant riparian habitat. It also fails to capture the complex mix of local and watershed-scale processes operating in riparian areas, which are critical to biodiversity for all species groups. To capture these smaller riparian areas, the USGS National Hydrologic Database (NHD) was used in the fine filter process to define stream corridors with riparian habitat potential; the streams are included in the final Conservation Lands Network. Converted Lands The last step in the development of the Coarse Filter Vegetation Map added the Farmland Mapping and Monitoring Program (FMMP) Urban and Cultivated Agricultural data, and identified rural residential parcels less than 10 acres. Appendix B: Chapter 5 describes how the Rural Residential 10 data layer was created. The FMMP data was more current (2008) than similar land use types in CalVeg, and rural residential parcels are typically found on the urban fringe and of lower conservation suitability. Collectively, these areas are referred to as "Converted Lands" and are illustrated in Figure 5.3. Converted Lands were occasionally selected by Marxan for inclusion in the Conservation Lands Network if they contained conservation targets needed to meet the 90%, 75%, or 50% goals, or the 247-acre hexagon included 10% or more of protected lands. As noted in Chapter 4, lands over-selected by Marxan were removed except for the location of the target. United States Department of Agriculture Forest Service Vegetation Classification and Mapping (CalVeg Mapping Zones): http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 The Nature Conservancy Landfire data: http://www.landfiredataviewer.tnc.org/ California Fire Resource and Assessment Program data (FVEG): http://frap.cdf.ca.gov/data/frapgisdata-subset.php This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  17. Title: Underpasses Allowing Wildlife Passage: San Francisco Bay Area, California, 2006

    Contributors:

    Summary: Connectivity is vital to the viability of many mammal and other species conservation targets. The Conservation Lands Network (CLN) incorporates two levels of connectivity: connectivity within landscape units and connectivity between landscape units. Marxan was configured to capture local networks, or within landscape unit connectivity, by locking in protected lands and using settings in the software, but some key local linkages were explicitly considered, and were included as Areas for Further Consideration. Connectivity between landscape units is equally important. Mountain lions, in particular, will not persist in the more isolated landscape units (Santa Cruz Mountains, Mount Diablo) without occasional immigration, based on research on cougars in the Santa Ana Mountains in Southern California (Beier 1993). Riparian areas provide important connectivity for many wildlife species and are included in the CLN. There is ample evidence that culverts, bridges, and other passages under major freeways are used by a variety of wildlife (Penrod et al. 2006), but constrained narrow corridors can lead to problems for some species. Some specific linkages issues were identified across the region (Figure 6.8). There are a series of obvious choke points on several major freeways: 1) Highway 580 between the South and Middle East Bay Hills landscape units; 2) Altamont Pass area (also Highway 580) between the Mt. Diablo and Mt. Hamilton Ranges; 3). Caldecott Corridor located above the tunnel between the Middle and North East Bay Hills; 4) Coyote Valley between Sierra Azul and the Mt. Hamilton Range landscape units; and 5) Various crossings of Highway 101 in Sonoma County. Key linkages from the study area to beyond the boundaries include: 6) Chittenden Gap at the south end of the Sierra Azul landscape unit connecting to the Gabilan Range; 7) Across the Soap Lake Basin south of Gilroy; and 8) The Sonoma Coast Range to the Northern Mayacamas across Highway 101 and the Russian River north of Cloverdale. To begin to address the linkage issues noted above, the team used aerial photography, Google Earth and maps to conduct an initial analysis of bridges and other potential wildlife crossing areas. The exercise also identified areas that require more detailed investigation. This point shapefile depicts the results of the analysis showing some of the key underpasses that might allow safe passage to wildlife in the nine county San Francisco Bay Area Region, California. These areas were also included as Areas for Further Consideration. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Underpasses Allowing Wildlife Passage: San Francisco Bay Area, California, 2006. Bay Area Open Space Council. Available at http://purl.stanford.edu/ry730vk8697. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  18. Title: Road Barriers to Wildlife Passage: San Francisco Bay Area, California, 2006

    Contributors:

    Summary: Connectivity is vital to the viability of many mammal and other species conservation targets. The Conservation Lands Network (CLN) incorporates two levels of connectivity: connectivity within landscape units and connectivity between landscape units. Marxan was configured to capture local networks, or within landscape unit connectivity, by locking in protected lands and using settings in the software, but some key local linkages were explicitly considered, and were included as Areas for Further Consideration. Connectivity between landscape units is equally important. Mountain lions, in particular, will not persist in the more isolated landscape units (Santa Cruz Mountains, Mount Diablo) without occasional immigration, based on research on cougars in the Santa Ana Mountains in Southern California (Beier 1993). Riparian areas provide important connectivity for many wildlife species and are included in the CLN. There is ample evidence that culverts, bridges, and other passages under major freeways are used by a variety of wildlife (Penrod et al. 2006), but constrained narrow corridors can lead to problems for some species. Some specific linkages issues were identified across the region. There are a series of obvious choke points on several major freeways: 1) Highway 580 between the South and Middle East Bay Hills landscape units; 2). Altamont Pass area (also Highway 580) between the Mt. Diablo and Mt. Hamilton Ranges; 3) Caldecott Corridor located above the tunnel between the Middle and North East Bay Hills; 4) Coyote Valley between Sierra Azul and the Mt. Hamilton Range landscape units; and 5) Various crossings of Highway 101 in Sonoma County. Key linkages from the study area to beyond the boundaries include: 6) Chittenden Gap at the south end of the Sierra Azul landscape unit connecting to the Gabilan Range; 7) Across the Soap Lake Basin south of Gilroy; and 8) The Sonoma Coast Range to the Northern Mayacamas across Highway 101 and the Russian River north of Cloverdale. To begin to address the linkage issues noted above, the team used aerial photography, Google Earth and maps to conduct an initial analysis of bridges and other potential wildlife crossing areas. The exercise also identified areas that require more detailed investigation. This polyline shapefile depicts the results of the analysis showing roads that are considered barriers to wildlife crossings in red in the nine county San Francisco Bay Area Region, California. These areas were also included as Areas for Further Consideration. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Road Barriers to Wildlife Passage: San Francisco Bay Area, California, 2006. Bay Area Open Space Council. Available at http://purl.stanford.edu/zn160rx2523. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  19. Title: Protected Area Units: San Francisco Bay Area, California, 2010

    Contributors:

    Summary: The Bay Area Protected Areas Database (BPAD) is a subset of the California Protected Areas Database (CPAD) which contains all known protected lands in California that are owned in fee by public agencies and non-profits that hold them for open space uses. Unlike CPAD, BPAD includes Easement data. Version 1 was published in May 2008 and has been updated numerous times since. This polygon shapefile depicts Unit(s) to which individual Holdings may belong (e.g, individual parcels that make up a larger park or preserve) in the nine county San Francisco Bay Area Region, California. CPAD is a general planning purpose dataset and does not necessarily correspond exactly with individual agency/organization data. CPAD may not be used for commercial resale or other such purposes - please read the license agreement before using CPAD. CPAD is suitable for a wide range of planning, assessment, analysis and display purposes. CPAD should not be used as the basis for regulatory or other specific governmental actions. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Protected Area Units: San Francisco Bay Area, California, 2010. Bay Area Open Space Council. Available at http://purl.stanford.edu/fy797sg6480. credit This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  20. Title: Land Use: San Francisco Bay Area, California, 2008

    Contributors:

    Summary: This polygon shapefile depicts land use for the nine county San Francisco Bay Area Region, California, originlly derived from the California Department of Conservation Farmland Mapping and Monitoring Program data. The counties are merged into one dataset. Attributes are as follows: Prime Farmland (P), Farmland of Statewide Importance (S), Unique Farmland (U), Farmland of Local Importance (L), Grazing Land (G), Urban and Built Up Land (D), Other Land (X) and Water (W). This is a very useful dataset for mapping grazing lands, urbanization and cultivated agriculture. This dataset was developed/compiled for use in the San Francisco Bay Area Upland Habitat Goals Project, a Project used to identify a Conservation Lands Network (CLN) for biodiversity preservation to inform conservation investments and lasting cooperative conservation partnerships. The Conservation Lands Network GIS Database is the primary output of the Project. The data depicts the spatially explicit CLN that is recommended for the nine county San Francisco Bay Area Region, California. Bay Area Open Space Council, GreenInfo Network, Conservation Lands Network, and San Francisco Bay Area Upland Habitat Goals Project. (2011). Land Use: San Francisco Bay Area, California, 2008. Bay Area Open Space Council. Available at http://purl.stanford.edu/cr876kn5514. California Department of Conservation Farmland Mapping and Monitoring Program data: http://www.consrv.ca.gov/DLRP/fmmp/Pages/index.aspx This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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