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U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001

Dates

Publication Date
Start Date
2008
End Date
2016

Citation

U.S. Geological Survey - Gap Analysis Project, 2018, U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001: U.S. Geological Survey data release, https://doi.org/10.5066/F7V122T2.

Summary

Gap Analysis Project (GAP) habitat maps are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Mapped areas represent places where the environment is suitable for the species to occur (i.e. suitable to support one or more life history requirements for breeding, resting, or foraging), while areas not included in the map are those predicted to be unsuitable for the species. While the actual distributions of many species are likely to be habitat limited, suitable habitat will not always be occupied because of population dynamics and species interactions. Furthermore, these maps correspond to midscale characterizations of landscapes, but individual [...]

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Attached Files

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GAP_ITIS_NS_codes.csv
“Code Mapping: ITIS and NatureServe”
42.03 KB
U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001.xml
“Collection Metadata”
Original FGDC Metadata

View
51.38 KB
ScienceBaseHabMapCSV_20190410.csv
“Metadata Source: Habitat Maps”
1.84 MB
IUCN_Gap_20190625.csv
“Code Mapping: IUCN”
200.1 KB

Purpose

The mission of the U.S. Geological Survey Gap Analysis Project (GAP) is to provide state, regional, and national biodiversity assessments of the conservation status of native vertebrate species and natural land cover types and to facilitate the application of this information to land management activities. Species distribution models are used to conduct a biodiversity assessment for species across the U.S. The goal of GAP is to keep common species common by identifying species and plant communities not adequately represented in existing conservation lands. Common species are those not currently threatened with extinction. By providing these data, land managers and policy makers can make better-informed decisions when identifying priority areas for conservation.

Additional Information

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7V122T2

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