Desertification Evaluated Using an Integrated Environmental Assessment Model |
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Authors: | David Mouat Judith Lancaster Timothy Wade James Wickham Carl Fox William Kepner Timothy Ball |
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Institution: | (1) Biological Sciences Center, Desert Research Institute, 7010 Dandini Boulevard, Reno, NV, 89512, U.S.A;(2) Present address: U.S. Environmental Protection Agency, 200 SW 35th Street, Corvallis, OR, 97333, U.S.A;(3) Biological Sciences Center, Desert Research Institute, 7010 Dandini Boulevard, Reno, NV, 89512, U.S.A;(4) Environmental Research Center, Tennessee Valley Authority, 17 Ridgeway Road, Norris, TN, 37828, U.S.A;(5) Office of Research and Development, University of North Dakota, Box 7134, Grand Forks, ND, 58202, U.S.A;(6) U.S. Environmental Protection Agency, 944 E. Harmon Avenue, Las Vegas, NV, 89119, U.S.A |
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Abstract: | Desertification has been defined as land degradation in arid, semi-arid and dry sub-humid areas resulting from various factors, including climatic variations and human activities (United Nations, 1992). A technique for identifying and assessing areas at risk fordesertification in the arid, semi-arid, and subhumid regionsof the United States was developed by the Desert Research Institute and the U.S. Environmental Protection Agency (EPA), using selected environmental indicators integrated into a Geographic Information System (GIS). Five indicators were selected: potential erosion, grazing pressure, climatic stress (expressed as a function of changesin the Palmer Drought Severity Index PDSI]), change invegetation greenness (derived from the Normalized DifferenceVegetation Index NDVI]), and weedy invasives as a percentof total plant cover. The data were integrated over aregional geographic setting using a GIS, which facilitateddata display, development and exploration of data relationships, including manipulation and simulation testing. By combining all five data layers, landscapes having a varying risk for land degradation were identified, providing a tool which could be used to improve landmanagement efficiency. |
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Keywords: | desertification assessment GIS integrated models land degradation remote sensing |
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