A regional approach to projecting land-use change and resulting ecological vulnerability.
This study explores ecological vulnerability to land-use change in the U.S. Mid-Atlantic Region by spatially extrapolating land and economic development, and overlaying these projections with maps of sensitive ecological resources. As individual extrapolations have a high degree of uncertainty, five methods with different theoretical bases are employed. Confidence in projections is increased for counties targeted by two or more projection methods. A county is considered at risk if it currently supports three or more sensitive resources, and is projected to experience significant growth by the year 2010 by two or more methods. Analysis designated 19 counties and two cities as at risk, highlighting within a large region the priority areas where state and regional efforts would contribute the most to integrating environmental considerations into the process of land development. The study also found that potentially severe ecological effects of future land-use change are not limited to the outskirts of major urban areas. Recreational demands on smaller communities with mountain and coastal resources are also significant, as are initiatives to promote economic development in rural areas of high ecological quality. This approach provides a comprehensive overview of potential regional development, leading to an objective prioritization of high-risk areas. The intent is to inform local planning and decision-making so that regional and cumulative ecological degradation are minimized.
Jackson
Laura E
LE
U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Research Triangle Park, NC 27711, USA. jackson.laura@epa.gov
Bird
Sandra L
SL
Matheny
Ronald W
RW
O'Neill
Robert V
RV
White
Denis
D
Boesch
Kristin C
KC
Koviach
Jodi L
JL
D000818:Animals; D003247:Conservation of Natural Resources / Q000191:economics; D004463:Ecology; D004779:Environment Design; D005544:Forecasting; D006801:Humans; D007221:Industry; D008962:Models, Theoretical; D011998:Recreation; D018570:Risk Assessment; D014481:United States