Gap Analysis identifies gaps in the representation of biological diversity (biodiversity) in areas managed exclusively or primarily for the long term maintenance of populations of native species and natural ecosystems. Once identified, gaps are filled through new reserve acquisitions or designations, or through changes in management practices. The goal is to ensure that all ecosystems and areas rich in species diversity are represented adequately in biodiversity management areas. Gap Analysis uses vegetation types and vertebrate and butterfly species (and/or other taxa, such as vascular plants, if adequate distributional data are available) as indicators of biodiversity. Maps of existing vegetation are prepared from satellite imagery (LANDSAT) and other sources and entered into a geographic information system (GIS). The Kansas Applied Remote Sensing (KARS) Program at the University of Kansas is responsible for generation of the alliance level vegetation map for Kansas GAP (Gap Analysis Program). A multi-temporal approach, utilizing data from spring, summer, and fall, is being implemented. This type of vegetation classification exploits the phenological differences between alliance types through the growing season.

GAP land cover mapping is funded by the Biological Resources Division (BRD) of the U.S. Department of Interior, Region VII of the Environmental Protection Agency, the Kansas Department of Wildlife and Parks, the Kansas Water Office, and the National Park Service. Support has also been provided by the National Aeronautics and Space Administration (NASA) through the provision of Landsat imagery.

Edward A. Martinko, P.I.
Kevin P. Price, P.I.
Stephen Egbert, Project Coordinator
Chris Lauver, Project Scientist
Aimee Stewart, Project Manager
Dana Peterson, Research Assistant
Sunyurp Park, Graduate Research Assistant

Griffith, J., D. Kastens, A. Stewart, E. Martinko, and K. Price. 1999.

National Gap Analysis Program
MidAmerica Remote Sensing Consortium

Steve Egbert