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A species has been applied to each hectare based on the 6 species fields in the raw data and the percentage of each species within a given polygon. For example a hectare which is 75% Pine and 25% Cedar has a 25% chance of being flagged as ''Cedar'' and 75% chance of being flagged as ''Pine''. A code describing the commercial species or brush species in the layer. Species must be above a specified diameter to be recognized in the species composition of the layer. Leading species are described in terms of Genus, Species and Subspecies. There are currently 27 commercial tree species and five genus values recognized in the Province. The code may also used to describe brush species in cases where the Non-Productive Descriptor...
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This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Alaska, All 50 states, Arizona, Arkansas, All tags...
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Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes and aquatic organisms. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US (extent shown on the map to the left) under historical conditions and climate change scenarios. These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model produced by the University of Washington Climate Impacts Group. Trout Unlimited and the US Forest Service Rocky Mountain Research Station used these model outputs to calculate a set of summary flow metrics to describe key attributes of the flow regime for each stream...
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This set of 4 rasters shows precipitation as snow (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America. These data, originally published here, were converted...
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The map area offshore of the city of Half Moon Bay, California, which is referred to herein as the “Offshore of Half Moon Bay” map area is located in northern California, on the Pacific Coast of the San Francisco Peninsula about 40 kilometers south of the Golden Gate. The city of Half Moon Bay (population, about 11,000) is the nearest significant onshore cultural cente. The Pillar Point Harbor at the north edge of Half Moon Bay offers a protected landing for boats and provides other marine infrastructure. The harbor, which was formed by the construction of two riprap jetties, is managed by the San Mateo County Harbor District. The harbor has 369 berthing slips and supports a commercial fishing fleet and search-and-rescue...
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Wildfire and fuel treatment locations for the USFWS Pacific Southwest Region (California, Nevada, Klamath Basin OR) extracted from the Fire Management Information System (FMIS) on October 23, 2015, for fiscal years 1980-2015.
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This layer represents the combined Priority Resources of the PFLCC and FWC and the Aggregated Priorities layer of CLIP 4.0. Included the combined layer is the 10 terrestrial Priority Resources (Non-marine) and the 6 Priority Levels (labelled 0 through 5 (lowest (0) to highest Priority (5) and Outside Prioritized Model (l -1) -- for a Total Possible Combinations of 70 (Total actual are 69). Each Priority Resource comprises 6-7 rows in the Attribute Table -- one row for each combination of Priority Resource and CLIP Priority.
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A comprehensive list of 38 categories of anthropogenic drivers of change in marine ecosystems developed through expert workshops (S1) was assessed for data availability on a global scale. We intentionally did not further subdivide these categories into unique drivers (e.g. each specific type of pollutant) as this would lead to over-emphasis of certain activities when impacts are summed. We limited our analyses to anthropogenic drivers with pre-existing global coverage or those for which we could assemble or develop global coverage. Although many regional-scale data and data with a global scope but incomplete coverage exist for a variety of specific human activities, inclusion of these data would bias global comparisons...
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There are three main components to the ESI: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats,...
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This raster map represents the presence/absence of predicted habitat of a single terrestrial vertebrate species. Since it is one of 602 species whose predicted distributions were modeled by SE-GAP, the processes used to create this raster map may differ from other species in this dataset. Processes were unique because while a majority of models incorporated land use/land cover data as the primary input, several other environmental features were incorporated for specific species depending on life history and habitat requirements noted both in published literature and expert review with biologists.
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The Desert Landscape Conservation Cooperative Land Cover Map shows land cover at a regional scale (1:2,500,000). The files provided are graphic design files that can be used to plot a publication-quality, poster-size map. Scale: 1:2,500,000 Map poster dimensions: 34 x 44 inches Data sources: Land cover from North American Environmental Atlas by the Commission for Environmental Cooperation, 2010. Physiographic regions from Natural Earth 1:10 million scale Physical Labels (3.0.0) derived from Patterson's Physical Map of the World, 2008. Hydrography, populated places, and political boundaries from National Atlas of the United States, 2004. File descriptions: DLCC_LandCover.ai is an Adobe Illustrator file....
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Soils data clipped to the Clear Lake NWR boundary. These are SSURGO soils from the USDA, Natural Resources Conservation Service.
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Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic...
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This data product contains combined estimates of high habitat quality areas for mountain lion, mule deer, desert bighorn sheep, and black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat variables varied among species but included vegetation type, terrain ruggedness,...


map background search result map search result map Tree species from the Vegetation Resource Inventory for the North Pacific Landscape Conservation Cooperative, British Columbia, Canada GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow Pacific Northwest-NPLCC Subset of Stream Flow Database Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) Columbia River ESI - 2004 Land Cover Map Acadian Flycatcher: SE-GAP Offshore Half Moon Bay Web Services High Habitat Quality Count Number Of GNLCC Projects Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 Soils (SSURGO), Clear Lake NWR Impervious Surface: Projected 2050 Priority Resources and CLIP Priorities Soils (SSURGO), Clear Lake NWR Offshore Half Moon Bay Web Services Columbia River ESI - 2004 High Habitat Quality Count Pacific Northwest-NPLCC Subset of Stream Flow Database Priority Resources and CLIP Priorities Impervious Surface: Projected 2050 Acadian Flycatcher: SE-GAP Land Cover Map Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 Tree species from the Vegetation Resource Inventory for the North Pacific Landscape Conservation Cooperative, British Columbia, Canada Number Of GNLCC Projects Precipitation as Snow under the B1 Emissions Scenario (Western North America, 23 AOGCM Ensemble) GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow