Evidence map›Paper›PMID 30203154›Full record

ArticleEnvironmental monitoring and assessment2018

An expanded fish-based index of biotic integrity for Great Lakes coastal wetlands.

Matthew J Cooper, Gary A Lamberti, Ashley H Moerke, Carl R Ruetz, Douglas A Wilcox, Valerie J Brady, Terry N Brown, Jan J H Ciborowski, Joseph P Gathman, Greg P Grabas and 2 more

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluating a river's ecological health: A multidimensional approach.Environmental science and ecotechnology · 2024
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matthew J CooperMary Griggs Burke Center for Freshwater Innovation, Northland College, 1411 Ellis Ave, Ashland, WI, 54806, USA. mcooper@northland.edu.
Gary A LambertiDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Ashley H MoerkeAquatic Research Laboratory, Lake Superior State University, Sault Ste. Marie, MI, USA.
Carl R RuetzAnnis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA.
Douglas A WilcoxDepartment of Environmental Science and Biology, SUNY College at Brockport, Brockport, NY, USA.
Valerie J BradyNatural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
Terry N BrownUnited State Environmental Protection Agency, Mid-continent Ecology Division, Duluth, MN, USA.
Jan J H CiborowskiDepartment of Biological Sciences, University of Windsor, Windsor, ON, Canada.
Joseph P GathmanDepartment of Biology, University of Wisconsin-River Falls, River Falls, WI, USA.
Greg P GrabasCanadian Wildlife Service, Environment and Climate Change Canada, Toronto, ON, Canada.
Lucinda B JohnsonNatural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
Donald G UzarskiInstitute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mount Pleasant, MI, USA.

Funding

U.S. Environmental Protection Agency GL-00E00612-0
6 · The paper itself

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.

Indexed as

Environmental MonitoringFishesWetlandsAnimalsBiodiversityBirdsCanadaEcologyEcosystemLakesUnited StatesWater QualityBioassessmentBiotic indicatorCoastal marshFishLand useLaurentian Great LakesWater qualityWetland

Identifiers

PMID30203154
PMCPMC6133009

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.