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Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management

Author

Listed:
  • Nathan J. Smucker

    (Oak Ridge Institute for Science and Education Fellow c/o Environmental Protection Agency, Atlantic Ecology Division)

  • Anne Kuhn

    (National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Environmental Protection Agency, Office of Research and Development)

  • Michael A. Charpentier

    (Raytheon Company)

  • Carlos J. Cruz-Quinones

    (University of Puerto Rico c/o Environmental Protection Agency, Greater Research Opportunities for Undergraduates Program)

  • Colleen M. Elonen

    (National Health and Environmental Effects Research Laboratory, Mid-continent Ecology Division, Environmental Protection Agency, Office of Research and Development)

  • Sarah B. Whorley

    (Fordham University, Louis Calder Center—Biological Field Station and Department of Biological Sciences)

  • Terri M. Jicha

    (National Health and Environmental Effects Research Laboratory, Mid-continent Ecology Division, Environmental Protection Agency, Office of Research and Development)

  • Jonathan R. Serbst

    (National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Environmental Protection Agency, Office of Research and Development)

  • Brian H. Hill

    (National Health and Environmental Effects Research Laboratory, Mid-continent Ecology Division, Environmental Protection Agency, Office of Research and Development)

  • John D. Wehr

    (Fordham University, Louis Calder Center—Biological Field Station and Department of Biological Sciences)

Abstract

Watershed management and policies affecting downstream ecosystems benefit from identifying relationships between land cover and water quality. However, different data sources can create dissimilarities in land cover estimates and models that characterize ecosystem responses. We used a spatially balanced stream study (1) to effectively sample development and urban stressor gradients while representing the extent of a large coastal watershed (>4400 km2), (2) to document differences between estimates of watershed land cover using 30-m resolution national land cover database (NLCD) and

Suggested Citation

  • Nathan J. Smucker & Anne Kuhn & Michael A. Charpentier & Carlos J. Cruz-Quinones & Colleen M. Elonen & Sarah B. Whorley & Terri M. Jicha & Jonathan R. Serbst & Brian H. Hill & John D. Wehr, 2016. "Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management," Environmental Management, Springer, vol. 57(3), pages 683-695, March.
    • Handle: RePEc:spr:envman:v:57:y:2016:i:3:d:10.1007_s00267-015-0629-3
    DOI: 10.1007/s00267-015-0629-3
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