caa a22 4500 467902879 CHVBK 20180406152824.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10661-006-7721-3 doi (NATIONALLICENCE)springer-10.1007/s10661-006-7721-3 Use of Maryland Biological Stream Survey Data to Determine Effects of Agricultural Riparian Buffers on Measures of Biological Stream Health [Elektronische Daten] [Linda Barker, Gary Felton, Estelle Russek-Cohen] This study was undertaken to determine the importance of riparian buffers to stream ecology in agricultural areas. The original Maryland Biological Stream Survey (MBSS) data set was partitioned to represent agricultural sites in Maryland's Coastal Plain and Piedmont regions. ANOVA, multiple linear regression (MLR), and CART regression tree models were developed using riparian and site catchment landscape characteristics. MBSS data were both stratified by physiographic region and analyzed as a combined data set. All models indicated that land management at the site was not the controlling factor for fish IBIs (FIBI) at that site and, hence, using FIBI to evaluate site-scale factors would not be a prudent procedure. Measures of instream habitat and location in the stream network were the dominant explanatory factors for FIBI models. Both CART and MLR models indicated that forest buffers were influential on benthic IBIs (BIBI). Explanatory variables reflected instream conditions, adjacent landscape influence, and chemistry in the Coastal Plains sites, all of which are relatively site specific. However, for Piedmont sites, hydrologic factors were important, in addition to adjacent landscape influence, and chemistry. Both Coastal Plain and Piedmont CART models identified several hydrologic factors, emphasizing the dominant control of hydrology on the physical habitat index (PHI). Riparian buffers were a secondary influence on PHI in the Coastal Plain, but not in the Piedmont. Between 40% and 70% of the variation in FIBI, BIBI, and PHI was explained by the "easily obtainable” variables available from the MBSS data set. While these are empirical results specific to Maryland, the general findings are of use to other locations where the establishment of forest buffers is considered as an aquatic ecosystem restoration measure. Springer Science + Business Media, Inc., 2006 agriculture nationallicence Benthic macroinvertebrate nationallicence best management practice nationallicence biocriteria nationallicence buffer nationallicence Chesapeake Bay nationallicence IBI nationallicence land use nationallicence Maryland nationallicence Non-point-source pollution nationallicence rapid bioassessment nationallicence regression tree modeling nationallicence Riparian nationallicence Stream nationallicence Water quality nationallicence Barker Linda Md. Department of Natural Resources, Fisheries Service, Tawes Office Building, 21401, Annapolis, MD, USA aut Felton Gary Department of Biological Resources Engineering, University of Maryland, 20742-2315, College Park, MD, USA aut Russek-Cohen Estelle Department of Animal and Avian Sciences, University of Maryland, 20742, College Park, USA aut Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 1-19 0167-6369 117:1-3<1 2006 117 10661 https://doi.org/10.1007/s10661-006-7721-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-7721-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Barker Linda Md. Department of Natural Resources, Fisheries Service, Tawes Office Building, 21401, Annapolis, MD, USA aut NATIONALLICENCE 700 1- Felton Gary Department of Biological Resources Engineering, University of Maryland, 20742-2315, College Park, MD, USA aut NATIONALLICENCE 700 1- Russek-Cohen Estelle Department of Animal and Avian Sciences, University of Maryland, 20742, College Park, USA aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 1-19 0167-6369 117:1-3<1 2006 117 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer