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An expanded fish-based index of biotic integrity for Great Lakes coastal wetlands.
Cooper, Matthew J; Lamberti, Gary A; Moerke, Ashley H; Ruetz, Carl R; Wilcox, Douglas A; Brady, Valerie J; Brown, Terry N; Ciborowski, Jan J H; Gathman, Joseph P; Grabas, Greg P; Johnson, Lucinda B; Uzarski, Donald G.
Affiliation
  • Cooper MJ; Mary Griggs Burke Center for Freshwater Innovation, Northland College, 1411 Ellis Ave, Ashland, WI, 54806, USA. mcooper@northland.edu.
  • Lamberti GA; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
  • Moerke AH; Aquatic Research Laboratory, Lake Superior State University, Sault Ste. Marie, MI, USA.
  • Ruetz CR; Annis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA.
  • Wilcox DA; Department of Environmental Science and Biology, SUNY College at Brockport, Brockport, NY, USA.
  • Brady VJ; Natural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
  • Brown TN; United State Environmental Protection Agency, Mid-continent Ecology Division, Duluth, MN, USA.
  • Ciborowski JJH; Department of Biological Sciences, University of Windsor, Windsor, ON, Canada.
  • Gathman JP; Department of Biology, University of Wisconsin-River Falls, River Falls, WI, USA.
  • Grabas GP; Canadian Wildlife Service, Environment and Climate Change Canada, Toronto, ON, Canada.
  • Johnson LB; Natural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
  • Uzarski DG; Institute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mount Pleasant, MI, USA.
Environ Monit Assess ; 190(10): 580, 2018 Sep 10.
Article in En | MEDLINE | ID: mdl-30203154
ABSTRACT
Biotic indicators are useful for assessing ecosystem health because the structure of resident communities generally reflects abiotic conditions integrated over time. We used fish data collected over 5 years for 470 Great Lakes coastal wetlands to develop multi-metric indices of biotic integrity (IBI). Sampling and IBI development were stratified by vegetation type within each wetland to account for differences in physical habitat. Metrics were evaluated against numerous indices of anthropogenic disturbance derived from water quality and surrounding land-cover variables. Separate datasets were used for IBI development and testing. IBIs were composed of 10-11 metrics for each of four vegetation types (bulrush, cattail, water lily, and submersed aquatic vegetation). Scores of all IBIs correlated well with disturbance indices using the development data, and the accuracy of our IBIs was validated using the testing data. Our fish IBIs can be used to prioritize wetland protection and restoration efforts across the Great Lakes basin. The IBIs will also be useful in monitoring programs mandated by the Agreement between Canada and the United States of America on Great Lakes Water Quality, such as for assessing Beneficial Use Impairments (BUIs) in Great Lakes Areas of Concern, and in other ecosystem management programs in Canada and the USA.
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Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Environmental Monitoring / Wetlands / Fishes Limits: Animals Country/Region as subject: America do norte Language: En Journal: Environ Monit Assess Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Environmental Monitoring / Wetlands / Fishes Limits: Animals Country/Region as subject: America do norte Language: En Journal: Environ Monit Assess Year: 2018 Document type: Article