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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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The Protected Areas Database of the United States (PAD-US) is a geodatabase, managed by U. S. Geological Survey Gap Analysis Program, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. The geodatabase contains four feature classes such as, ‘Marine Protected Areas (MPA)’ and ‘Easements’ that each contains uniquely associated attributes. These two feature classes are combined with the PAD-US ‘Fee’ feature class to provide a full inventory of protected areas in a common schema (i.e. ‘Combined’ file). Legitimate and other protected area overlaps exist in the full inventory, with Easements loaded on top of Fee and MPAs...
Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), Biodiversity, All tags...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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The boundaries of the LCCs. The shapefile can be downloaded and opened in ArcMAP. For web services, select an option from the grey bar above the inset map. Link to metadata. From metadata: Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are accelerated by climate change.
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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The Protected Areas Database of the United States (PAD-US) is a GIS database hosted by the USGS Gap Analysis Program (GAP) that illustrates and describes public land ownership, management and conservation lands nationally, including voluntarily provided privately protected areas. Version 1.2 of this data set was released by GAP in April, 2011 and can be downloaded from the USGS PAD-US web site (data available in geodatabase and shape file formats). The web site includes an online map viewer for the data as well as information on PAD-US standards, core attribute schema and a summary of commonly requested statistics. GAP compiled the Protected Areas Database of the United States (PAD-US) version 1.1 with significant...
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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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NOTE: A more current version of the Protected Areas Database of the United States (PAD-US) is available: PAD-US 2.1 https://www.sciencebase.gov/catalog/item/5f186a2082cef313ed843257 The Protected Areas Database of the United States (PAD-US) is a geodatabase, managed by U. S. Geological Survey Gap Analysis Project, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. The geodatabase contains four feature classes such as, Marine Protected Areas (MPA) and Easements that each contains uniquely associated attributes. These two feature classes are combined with the PAD-US Fee feature class to provide a full inventory...
Categories: Data; Types: ArcGIS REST Map Service, Citation, Map Service; Tags: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), All tags...
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The Protected Areas Database of the United States (PAD-US) is a geodatabase that illustrates and describes public land ownership, management and conservation lands nationally, including voluntarily provided privately protected areas. The lands included in PAD-US are assigned conservation measures that qualify their intent to manage lands for the preservation of biological diversity and to other natural, recreational and cultural uses; managed for these purposes through legal or other effective means. The Protected Areas Database of the United States (PAD-US) is a geodatabase that illustrates and describes public land ownership, management and conservation lands nationally, including voluntarily provided privately...
GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...


    map background search result map search result map Protected Areas Database of the United States Protected Areas Database of the United States Common Loon (Gavia immer) Modeled Distribution Greater Sage-grouse (Centrocercus urophasianus) Modeled Distribution Ferruginous Hawk (Buteo regalis) Modeled Distribution Mountain Plover (Charadrius montanus) Modeled Distribution Northern Goshawk (Accipiter gentilis) Modeled Distribution Townsend's Big-eared Bat (Corynorhinus townsendii) Modeled Distribution Bald Eagle (Haliaeetus leucocephalus) Modeled Distribution Black-footed Ferret (Mustela nigripes) Modeled Distribution Burrowing Owl (Athene cunicularia) Modeled Distribution Canadian Lynx (Lynx canadensis) Modeled Distribution Protected Areas Database of the United States (PADUS) - Combined: Version 1.3 - Ownership Layer U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness Black-footed Ferret (Mustela nigripes) Modeled Distribution Greater Sage-grouse (Centrocercus urophasianus) Modeled Distribution Mountain Plover (Charadrius montanus) Modeled Distribution Ferruginous Hawk (Buteo regalis) Modeled Distribution Canadian Lynx (Lynx canadensis) Modeled Distribution Townsend's Big-eared Bat (Corynorhinus townsendii) Modeled Distribution Northern Goshawk (Accipiter gentilis) Modeled Distribution Burrowing Owl (Athene cunicularia) Modeled Distribution Bald Eagle (Haliaeetus leucocephalus) Modeled Distribution Common Loon (Gavia immer) Modeled Distribution U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness Protected Areas Database of the United States Protected Areas Database of the United States Protected Areas Database of the United States (PADUS) - Combined: Version 1.3 - Ownership Layer