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CLASSIFICATION TOOLS FOR EFFICIENT IDENTIFICATION OF MULTIPLE SOURCES OF IMPAIRMENT: A FIELD TEST OF GEOGRAPHICALLY-DEPENDENT VS. THRESHOLD-BASED GEOGRAPHICALLY-INDEPENDENT CLASSIFICATION SCHEMES
Citation:
Detenbeck, N E., L E. Anderson, S L. Batterman, V. J. Brady, J. C. Brazner, C M. Elonen, T. M. Jicha, V M. Snarski, D K. Tanner, D L. Taylor, AND T M. Jicha. CLASSIFICATION TOOLS FOR EFFICIENT IDENTIFICATION OF MULTIPLE SOURCES OF IMPAIRMENT: A FIELD TEST OF GEOGRAPHICALLY-DEPENDENT VS. THRESHOLD-BASED GEOGRAPHICALLY-INDEPENDENT CLASSIFICATION SCHEMES. Presented at EPA Biological Advisory Committee Meeting, NERL, Cincinnati, OH, May 2000.
Description:
Current monitoring strategies for iotic ecosystems have focused on identification of either specific impaired stream reaches or regional incidence of impaired stream reaches, with little or no ancillary data collected to facilitate diagnosis of impairment, or extrapolation of results to similar settings. - - - We propose a conceptual model of landscape vulnerability to serve as a basis for watershed classification systems to predict resistance and resilience of aquatic ecosystems to hydrology-related stressors. Stratified random selection of watersheds allowed us to compare geographically-independent classification schemes based on watershed storage and forest fragmentation with a geographically-based classification scheme within the Northern Lakes and Forest Ecoregion.