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Location Folder Show Tree ROOT _ScienceBase Catalog __Core Science Systems Collection of Data and Application Resources Biodiversity Information Serving Our Nation (BISON) John Wesley Powell Center for Analysis and Synthesis National Fish Habitat Partnership Data System National Science Foundation Ice Core Facility NSDI Cooperative Agreements Program More... Filters Date Range Past year (2) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Community (2) Types Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Kevin J Gergely Daniel J Wieferich Alexa McKerrow Boise State University New Mexico State University North Carolina State University View Results as: JSON ATOM CSV Browse Folder

USGS Gap Analysis Project (GAP) The Gap Analysis Project (GAP) is an element of the U.S. Geological Survey. GAP helps to implement the Department of the Interior’s goals of inventory, monitoring, research, and information transfer. GAP has three primary goals: Identify conservation gaps that help keep common species common; Provide conservation information to the public so that informed resource management decisions can be made; and Facilitate the application of GAP data and analysis to specific resource management activities. To implement these goals, GAP carries out the following objectives: Map the land cover of the United States Map predicted distributions of vertebrate species for the U.S. Map the location, ownership and stewardship of... Categories: Collection; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service USGS Aquatic Gap Analysis Project The Aquatic Gap Project represents the portion of the USGS Gap Analysis Project that focuses on aquatic species found in coastal and inland waters. The goal of the National Aquatic GAP is to evaluate aquatic biological diversity and habitats using spatial analysis and species distribution models to identify gaps in species protection or threats to habitats in order to work toward more effective conservation planning and prioritization. Our current efforts are focused on modeling the rangewide distribution of fish species which are wide ranging, non-habitat specialist, and of specific interest to our natural resource management agency and conservation partners. Categories: Collection