Gap Analysis Project

Home

How well are we protecting common plants and animals? Gap Analysis is the science of answering this question. Developing the data and tools to support that science is the mission of the Gap Analysis Project (GAP). Check out our SCIENCE section on the left to begin exploring GAP products: Species, Land Cover, and Protected Areas Database of the United States.

Species Data

Species Data

GAP has delineated species range and predicted distribution maps for more than 2,000 species that occur within the continental U.S. as well as Alaska, Hawaii, and Puerto Rico. 

Download Data

Land Cover Data

Land Cover Data

The GAP/LANDFIRE National Terrestrial Ecosystems data set includes detailed vegetation and land cover patterns for the continental United States. The data set incorporates the Ecological System classification system developed by NatureServe.

Download Data

Protected Areas Data

Protected Areas Data

PAD-US is America’s official national inventory of U.S. terrestrial and marine protected areas (List of National Geospatial Data Assets).

Download Data

News

Date published: July 29, 2019

Join upcoming webinars or view recorded webinars to learn more about PAD-US

 

Join upcoming webinars or view recorded webinars to learn more about PAD-US.

 

Date published: July 9, 2019

Major Update for America’s Inventory of Parks and Other Protected Areas: Protected Areas Database of the United States

A new version of the Protected Areas Database of the U.S. (PAD-US), has major federal, state and easement updates, an easier-to-use data structure, new web services, national-scale printable maps, and more.   USGS Technical Announcement

Date published: May 28, 2019

GAP Terrestrial Vertebrate Species Richness Maps Released for the Conterminous U.S.

The USGS Gap Analysis Project, part of Core Science System's Science Analytics and Synthesis, has released terrestrial vertebrate species richness maps for the Conterminous U.S.

Publications

Publication Thumbnail
Year Published: 2019

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,...

Gergely, Kevin J.; Boykin, Kenneth G.; McKerrow, Alexa J.; Rubino, Matthew J.; Tarr, Nathan M.; Williams, Steven G.
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 2019–5034, 99 p., https://doi.org/10.3133/sir20195034.

Publication Thumbnail
Year Published: 2017

Integrating multiple data sources in species distribution modeling: A framework for data fusion

The last decade has seen a dramatic increase in the use of species distribution models (SDMs) to characterize patterns of species’ occurrence and abundance. Efforts to parameterize SDMs often create a tension between the quality and quantity of data available to fit models. Estimation methods that integrate both standardized and non-standardized...

Pacifici, Krishna; Reich, Brian J.; Miller, David A.W.; Gardner, Beth; Stauffer, Glenn E.; Singh, Susheela; McKerrow, Alexa J.; Collazo, Jaime A.
Pacifici, K., Reich, B. J., Miller, D. A. W., Gardner, B., Stauffer, G., Singh, S., McKerrow, A. and Collazo, J. A. (2017), Integrating multiple data sources in species distribution modeling: a framework for data fusion*. Ecology, 98: 840–850.

Publication Thumbnail
Year Published: 2017

Long-term fish monitoring in large rivers: Utility of “benchmarking” across basins

In business, benchmarking is a widely used practice of comparing your own business processes to those of other comparable companies and incorporating identified best practices to improve performance. Biologists and resource managers designing and conducting monitoring programs for fish in large river systems tend to focus on single river basins or...

Ward, David L.; Casper, Andrew F.; Counihan, Timothy D.; Bayer, Jennifer M.; Waite, Ian R.; Kosovich, John J.; Chapman, Colin; Irwin, Elise R.; Sauer, Jennifer S.; Ickes, Brian; McKerrow, Alexa J.
Ward, D.L., Casper, A.F., Counihan, T.D., Bayer, J.M., Waite, I.R., Kosovich, J.J., Chapman, C.G., Irwin, E.R., Sauer, J.S., Iches, B.S., and McKerrow, A.J., 2017,Long-Term Fish Monitoring in Large Rivers: Utility of “Benchmarking” across Basins: Fisheries, no. 42, v. 2, p