You are here:
Regional and National Use of Semi‐Natural and Natural Depressional Wetlands in Green Infrastructure
Citation:
Lane, C. AND E. D'Amico. Regional and National Use of Semi‐Natural and Natural Depressional Wetlands in Green Infrastructure. American Geophysical Union Fall Meeting, San Francisco, CA, December 11 - 17, 2016.
Impact/Purpose:
American Geophysical Union poster
Description:
Regional and National Use of Semi‐Natural and Natural Depressional Wetlands in Green Infrastructure Charles Lane, US Environmental Protection Agency, Ellen D’Amico, Pegasus Technical ServicesDepressional wetlands are frequently amongst the first aquatic systems to be exposed to pollutants from terrestrial source areas. Wetland functions include the finite ability to process nutrients and other pollutants. Through assimilation or sequestration of pollutants, depressional wetlands can affect other waters. While the functions of wetlands are well known, the abundance of depressional wetlands throughout the United States is not well known. Recent estimates conclude that approximately 16% of the freshwater wetlands of the conterminous United States may be depressional wetlands, or putative “geographically isolated wetlands” (Lane and D’Amico JAWRA 2016 52(3):705-722). However, there remains uncertainty in the impact or effects of depressional wetlands to other waters. We present geographic information system analyses showing the abundance and types of depressional wetlands effectively serving as green infrastructure throughout the conterminous U.S. We furthermore analyze the landscape position of depressional wetlands intersecting potentially pollutant-laden surficial flow paths from specific land uses (e.g., depressional wetlands embedded in agricultural landscapes). We discuss how similarities and differences in types and abundances of depressional wetlands between and among ecoregions of the conterminous US provide an opportunity for wise management at broad geographic scales. These data may suggest utility in including wetland depressions in large-scale coupled hydrological and nutrient modeling.
