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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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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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This dataset represents the cumulative result of multi-season classification of land cover in the GCPO LCC geography to NatureServe Ecological Systems based on 2011 seasonal Landsat Satellite Imagery. The approach used a Random Forest algorithm and several dozen input data layers to classify land cover at a 30 m pixel resolution. The description below is taken directly from the report titled “Update of the Eastern GCPO Land Cover Database to 2011 Using a LS2SRC Approach”, by Dr. Qingmin Meng, Department of Geosciences, Mississippi State University.Random Forest classifier is based on the general decision tree approach, which has been a popular approach to multilevel and multistage decision making. Its basic idea...
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A spatial dataset of public and private lands and waters secured by a conservation situation that includes an explicit level of security from future conversion and current incompatible uses.For more information on TNC's Secured Lands project visit: www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/terrestrial/secured/Pages/default.aspx The list of sources for this dataset can be found in the attached word document. The full report on the status and condition of the northeastern natural landscapes, under all levels of protection: https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/Documents/Conservation-Status-of-Fish-Wildlife-and-Natural-Habitats.pdf...
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This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
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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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This dataset compiles land ownership and management data from state and federal agencies to create a map showing ownership, management, and conservation status of all land in Alaska. State, federal, and private lands, including Native corporations and Native allotments, are included. Conservation status describes the degree to which land, particularly public land, is legally designated and explicitly managed for biodiversity conservation. The most common classification, developed by the USGS GAP Program (www.gap.uidaho.edu), classifies land management types into four conservation status categories according to the degree to which the land is explicitly managed for conservation. In general, conservation status 1...
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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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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships—known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html)—that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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GAP species range data show a coarse representation of the total areal extent of a species or the geographic limits within which a species can be found (Morrison and Hall 2002). To represent these geographic limits, GAP compiled existing GAP data, where available, and NatureServe data (Patterson et al. 2003, Ridgely et al. 2007, NatureServe 2010) IUCN data (IUCN 2004), where needed. Data provided by GAP in collaboration with the Northwest Gap Analysis Project (NWGAP), the Southwest Regional Gap Analysis Project (SWReGAP), the Southeast Gap Analysis Project (SEGAP), the Alaska Gap Analysis Project (AKGAP), the Hawaii Gap Analysis Project (HIGAP), the Puerto Rico Gap Analysis Project (PRGAP), and the U.S. Virgin Islands...
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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 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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This layer represents State Habitat and Species Mangement Areas in Wyoming from the Protected Areas Database of the US (PADUS). Part of the GAP Analysis, PADUS is a geodatabase that illustrates and describes public land ownership, managment and consercationlands nationally. The lands included are assigned conservation measures that qualify thier intent to mangae lands for the presercation of biological diversity and to other natural, recreational, and cultural uses.


    map background search result map search result map Wyoming State Habitat and Species Management Areas Protected Areas Database of the United States Protected Areas Database of the United States ReGAP NW/SW Mosaic for Great Plains Landscape Conservation Cooperative 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 Secured Lands by GAP Status, 2012, Northeast Landcover Management and Conservation Stewardship of Alaska Lands, 2006, The Nature Conservancy Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography U.S. Geological Survey Gap Analysis Program Species Ranges Wyoming State Habitat and Species Management Areas Landcover ReGAP NW/SW Mosaic for Great Plains Landscape Conservation Cooperative U.S. Geological Survey Gap Analysis Program Species Ranges Ecological Systems Classification 2011 Update for the Eastern GCPO LCC Geography Black-footed Ferret (Mustela nigripes) Modeled Distribution Secured Lands by GAP Status, 2012, Northeast 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 Management and Conservation Stewardship of Alaska Lands, 2006, The Nature Conservancy Protected Areas Database of the United States Protected Areas Database of the United States