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

Dates

Publication Date: 2018-08-15
Start Date: 2008
End Date: 2016

Citation

U.S. Geological Survey (USGS) - Gap Analysis Project (GAP), 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 [...]

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 animals may deem areas to be unsuitable because of presence or absence of fine-scale features and characteristics that are not represented in our models (e.g. snags, vernal pools, shrubby undergrowth). These maps are intended to be used at a 1:100,000 or smaller map scale.

These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species’ range. The deductive habitat models are built by compiling information on species’ habitat associations and entering it into a relational database. Information is compiled from the best available characterizations of species’ habitat, which included species accounts in books and databases, primary peer-reviewed literature. The literature references for each species are included in the "Species Habitat Model Report" and "Machine Readable Habitat Database Parameters" files attached to each habitat map item in the repository. For all species, the compiled habitat information is used by a biologist to determine which of the ecological systems and land use classes represented in the National Gap Analysis Project’s (GAP) Land Cover Map Ver. 1.0 that species is associated with. The name of the biologist who conducted the literature review and assembled the modeling parameters is shown as the "editor" type contact for each habitat map item in the repository.

For many species, information on other mapped factors that define the environment that is suitable is also entered into the database. These factors included elevation (i.e. minimum, maximum), proximity to water features, proximity to wetlands, level of human development, forest ecotone width, and forest edge; and each of these factors corresponded to a data layer that is available during the map production. The individual datasets used in the modeling process with these parameters are also made available in the ScienceBase Repository (see the end of this Summary section for details). The "Machine Readable Habitat Database Parameters" JSON file attached to each species habitat map item has an "input_layers" object that contains the specific parameter names and references (via Digital Object Identifier) to the input data used with that parameter. The specific parameters for each species were output from the database used in the modeling and mapping process to the "Species Habitat Model Report" and "Machine Readable Habitat Database Parameters" files attached to each habitat map item in the repository.

The maps are generated using a python script that queries the model parameters in the database; reclassifies the GAP Land Cover Ver 1.0 and ancillary data layers within the species’ range; and combines the reclassified layers to produce the final 30m resolution habitat map. Map output is, therefore, not only a reflection of the ecological systems that are selected in the habitat model, but also any other constraints in the model that are represented by the ancillary data layers.

Modeling regions were used to stratify the conterminous U.S. into six regions (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). These regions allowed for efficient processing of the species distribution models on smaller, ecologically homogenous extents.

The 2008 start date for the models represents the shift in focus from state and regional project efforts to a national one. At that point all of the datasets needed to be standardized across the national extent and the species list derived based on the current understanding of the taxonomy. The end date for the individual models represents when the species model was considered complete, and therefore reflects the current knowledge related to that species concept and the habitat requirements for the species.

Versioning, Naming Conventions and Codes: A composite version code is employed to allow the user to track the spatial extent, the date of the ground conditions, and the iteration of the data set for that extent/date. For example, CONUS_2001v1 represents the spatial extent of the conterminous US (CONUS), the ground condition year of 2001, and the first iteration (v1) for that extent/date. In many cases, a GAP species code is used in conjunction with the version code to identify specific data sets or files (i.e. Cooper’s Hawk Habitat Map named bCOHAx_CONUS_2001v1_HabMap).

This collection represents the first complete compilation of terrestrial vertebrate species models for the conterminous U.S. based on 2001 ground conditions.

The taxonomic concept for the species model being presented is identified through the Integrated Taxonomic Information System – Taxonomic Serial Number. To provide a link to the NatureServe species information the NatureServe Element Code is provided for each species. The identifiers included for each species habitat map item in the repository include references to a vocabulary system in ScienceBase where definitions can be found for each type of identifier.

Input Datasets Used in Species Habitat Modeling: Links to the input datasets can be found in the Related External Resources section of this item. Please see the ScienceBase item for each input dataset for further explanation of its use in the modeling process. Each individual species habitat map in this collection includes the specific input layers and modeling parameters used for that model in its parameters file.

USER CONSTRAINTS: It is strongly recommended that these data are directly acquired from the U.S. Geological Survey and not indirectly through other sources, which may have modified the data in some way. The Digital Object Identifiers for each species habitat map provide the persistent reference that should be used to obtain the maps for use. While these data were produced in support of the National Gap Analysis Project, it is expected that they would be used for other applications; therefore, we list below both appropriate and inappropriate uses. For many uses, it is unlikely that this dataset will provide the only data needed, and for uses with a regulatory outcome, field surveys should be conducted to verify the result. These models represent predictions of the locations of suitable habitat for the species and are not models of species occupancy. There are many reasons why a habitat may not be occupied at a particular point in time. Additionally, these maps should not necessarily supersede existing distribution models for species of management concern. This includes smaller scale, regional maps for populations of species modeled by USGS.

Appropriate uses of the data: Primarily as a coarse map for a large area such as a state or to provide context for finer-level maps. A general list of possible applications include:

National, regional or statewide biodiversity planning
National, Regional or state habitat conservation planning
Large-area resource management planning
Coarse-filter evaluation of potential impacts or benefits of major projects or plan initiatives on biodiversity, such as utility or transportation corridors, wilderness proposals, habitat connectivity proposals, climate change adaptation proposals, regional open space and recreation proposals, etc.
Determining relative amounts of management responsibility for specific biological resources among land stewards to facilitate cooperative management and planning
Basic research on regional distributions of plants and animals and to help target both specific species and geographic areas for needed research
Environmental impact assessment for large projects or military activities
Estimation of potential economic impacts from loss of biological resource-based activities
Education at all levels and for both students and citizens

Inappropriate Uses: Examples include:

Using the data to map small areas (less than thousands of hectares), typically requiring mapping at 1:24,000 scale and using aerial photographs or ground surveys
Combining these data with other data finer than 1:100,000 scale to produce new hybrid maps or answer queries
Establishing exact boundaries for regulation or acquisition
Establishing definite occurrence or non-occurrence of a species for an exact geographic area
Determining abundance, health, or condition of a species
Establishing a measure of accuracy of other species models by comparison with the Gap Analysis Project species distribution models
Using the data without acquiring and reviewing the metadata

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Contacts

Point of Contact :: GAP Team
Originator :: U.S. Geological Survey - Gap Analysis Project
Metadata Contact :: GAP Team
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
USGS Mission Area :: Core Science Systems
SDC Data Owner :: Science Analytics and Synthesis

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U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001.xml “Collection Metadata” Original FGDC Metadata	View	40.82 KB	application/fgdc+xml
GAP Species Viewer.png “Gap Analysis Project Species Viewer”		463.17 KB	image/png
IUCN_Gap_20190625.csv “Code Mapping: IUCN”		200.1 KB	text/csv
ScienceBaseHabMapCSV_20190410.csv “Metadata Source: Habitat Maps”		1.84 MB	text/csv
GAP_ITIS_NS_codes.csv “Code Mapping: ITIS and NatureServe”		42.03 KB	text/csv

Related External Resources

Type: Citation

Scientific Method Reference: "Gap Analysis: A Geographic Approach to Protection of Biological Diversity"	https://www.jstor.org/stable/3830788?seq=1#page_scan_tab_contents

Type: Web Link

Input Data: USGS Gap Analysis Project - Additional Data – Hydrologic Unit Codes [HUCs]	https://www.sciencebase.gov/catalog/item/56d496eee4b015c306f17a42
Input Data: USGS Gap Analysis Project - Additional Data – Modeling Regions	https://www.sciencebase.gov/catalog/item/58b9b8cee4b03b285c07ddef
Input Data: USGS Gap Analysis Project - Additional Data – National Gap Land Cover Ver 1.0 (2001)	https://www.sciencebase.gov/catalog/item/5540e2d7e4b0a658d79395db
Input Data: USGS Gap Analysis Project - Additional Data – Human Impact Avoidance	https://www.sciencebase.gov/catalog/item/5540e099e4b0a658d79395d6
Input Data: USGS Gap Analysis Project - Additional Data - Forest Edge	https://www.sciencebase.gov/catalog/item/5540e3fce4b0a658d79395fe
Input Data: USGS Gap Analysis Project - Additional Data – Forest/Open + Woodland/Shrubland	https://www.sciencebase.gov/catalog/item/5540e48fe4b0a658d7939600
Input Data: USGS Gap Analysis Project - Additional Data – Aspect	https://www.sciencebase.gov/catalog/item/5540ec40e4b0a658d7939628
Input Data: USGS Gap Analysis Project - Additional Data – Slope	https://www.sciencebase.gov/catalog/item/5540ebe2e4b0a658d7939626
Input Data: USGS Gap Analysis Project - Additional Data – Elevation	https://www.sciencebase.gov/catalog/item/5540e111e4b0a658d79395d9
Input Data: USGS Gap Analysis Project - Additional Data – Hydrography	https://www.sciencebase.gov/catalog/item/5540eb44e4b0a658d7939624
Input Data: USGS Gap Analysis Project - Additional Data – Canopy Cover	https://www.sciencebase.gov/catalog/item/5540eca9e4b0a658d793962b
U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001	https://www.sciencebase.gov/catalog/item/5951527de4b062508e3b1e79

Type: Mapping Application

Gap Analysis Project Species Viewer	https://maps.usgs.gov/gap-species/

Type: TerriaJS Catalog

TerriaJS Catalog File Used for the Gap Analysis Project Species Viewer	https://maps.usgs.gov/gap-species/init/gapSpecies.json

Type: Download

Gap Analysis Project Species Data Download	https://gapanalysis.usgs.gov/apps/species-data-download/

Type: Related Primary Publication

Gergely, K.J., Boykin, K.G., McKerrow, A.J., Rubino, M.J., Tarr, N.M., and Williams, S.G., 2019, Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.: U.S. Geological Survey Scientific Investigations Report, https://doi.org/10.3133/sir20195034.	https://doi.org/10.3133/sir20195034

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.

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

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