Record Display for the EPA National Library Catalog

RECORD NUMBER: 115 OF 212

OLS Field Name OLS Field Data
Main Title Refinement and Validation of a Fish Index of Biotic Integrity for Maryland Streams.
Author Roth, N. E. ; Southerland, M. T. ; Chaillou, J. C. ; Kazyak, P. F. ; Stranko, S. A. ;
CORP Author Versar, Inc., Columbia, MD.;Maryland Dept. of Natural Resources, Annapolis. Chesapeake Bay and Watershed Programs.
Publisher Oct 2000
Year Published 2000
Report Number CBWP-MANTA-EA-00-2;
Stock Number PB2002-102227
Additional Subjects Fishes ; Environmental indicators ; Species diversity ; Maryland ; Streams ; Refinement methods ; Validation methods ; Improvements ; Applications ; Index of biotic integrity
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2002-102227 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/23/2002
Collation CD-ROM
Abstract
To aid in assessing the extent of degradation in non-tidal streams, a multi-metric Index of Biotic Integrity (IBI) based on fish assemblages was developed for the Maryland Biological Stream Survey (MBSS). The MBSS is a probability-based, statewide monitoring program designed to assess the status of biological resources and to evaluate the effects of anthropogenic activities. We used data from more than 900 MBSS sites sampled in 1994-97 to refine and validate the IBI. Three distinct geographic strata (regions), corresponding with ecoregional and physiographic boundaries, were identified via cluster analysis and multivariate analysis of variance (MANOVA) as supporting distinctly different species groups. Reference conditions were based on minimally degraded sites that were sampled in 1994-97. We quantitatively evaluated the ability of various attributes of the fish assemblage (candidate metrics) to discriminate between these reference sites and sites known to be degraded, using statistical tests and classification efficiency. Formulations of the IBI were selected for each region based on high classification efficiency and broad representation of fish assemblage attributes.