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
|Title||U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001|
|Product Type||Data Release|
|Record Source||USGS Digital Object Identifier Catalog|
|USGS Organization||Science Analytics and Synthesis|
Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.
Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.The mission of the Gap Analysis Project (GAP) is to support national and regional assessments of the conservation status of vertebrate species and plant communities. This report explains conterminous United States species richness maps created by the U.S. Geological Survey for four major classes in the phylum Chordata: mammals, birds, reptiles, and amphibians. In this work, we focus on terrestrial