||Development of a Provisional Physical Habitat Index for Maryland Freshwater Streams.
Hall, L. W. ;
Morgan, R. P. ;
Perry, E. S. ;
Waltz, A. ;
||Maryland Univ., Queenstown. Wye Research and Education Center. ;Maryland Univ., Frostburg. Appalachian Environmental Lab. ;Perry (Elgin S.), Huntingtown, MD.;Maryland Dept. of Natural Resources, Annapolis. Chesapeake Bay and Watershed Programs.
Aquatic habitats ;
Water quality ;
Land use ;
MBSS(Maryland Biological Stream Survey) ;
MPHI(Maryland Physical Habitat Index) ;
IBI(Index of Biotic Integrity)
||Some EPA libraries have a fiche copy filed under the call number shown.
The major objectives of this study were to: (1) use existing biological, chemical and physical habitat data from the 1994-97 Maryland Biological Stream Survey (MBSS) to determine the discriminatory power of physical habitat metrics for assessing the quality of non-tidal streams in Maryland and (2) develop a provisional multimetric Maryland Physical Habitat Index (MPHI) for both Coastal and Non-Coastal Plain stream strata using metrics that showed the best discriminatory power in reference and degraded conditions. Biological, chemical and land-use data were used to determine reference and impacted sites. In addition to the major objective described above, additional analyses were also conducted with the 1994-97 MBSS data to address the following: (1) compare MPHI, Fish Index of Biotic Integrity (IBI), Benthic IBI and stream characteristics; (2) determine the relationship of the herpetofauna presence data with physical habitat metrics; (3) compare the variability of the subjective physical habitat assessments by metrics among field crews (Appalachian Laboratory - AL; Wye Research and Education Center - WREC; and Department of Natural Resources - DNR) with the DNR Quality Control officer scores; (4) evaluate the relationship between land/use habitat metrics and instream continuous habitat metrics and (5) test the concept of habitat quantity (stream volume) and habitat quality (MPH) to characterize expectations for fish abundance, richness and IBI (quantity as well as quality of habitat will influence the number of fish).