Evidence map›Paper›PMID 28939998›Full record

ArticleEnvironmental management2017

Use of Fish Telemetry in Rehabilitation Planning, Management, and Monitoring in Areas of Concern in the Laurentian Great Lakes.

J L Brooks, C Boston, S Doka, D Gorsky, K Gustavson, D Hondorp, D Isermann, J D Midwood, T C Pratt, A M Rous and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

13 authors.

J L BrooksDepartment of Biology, Fish Ecology and Conservation Physiology Lab, Carleton University, Ottawa, ON, Canada. jillbrooks85@gmail.com.ORCID 0000-0001-7755-2258
C BostonFisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences, 867 Lakeshore Rd., Burlington, ON, L7S 1A1, Canada.
S DokaFisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences, 867 Lakeshore Rd., Burlington, ON, L7S 1A1, Canada.
D GorskyU.S. Fish and Wildlife Service, Lower Great Lakes Fish and Wildlife Conservation Office, 1101 Casey Road, Basom, NY, 14013, USA.
K GustavsonU.S. Army Engineer Research and Development Center, Stationed at the U.S. Environmental Protection Agency, Office of Superfund Remediation and Technology Innovation, 5204 P, 1200 Pennsylvania Ave. N.W., Washington, DC, 20460, USA.
D HondorpU.S. Geological Survey-Great Lakes Science Center, 1451 Green Rd., Ann Arbor, MI, 48105, USA.
D IsermannU. S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, 800 Reserve St., Stevens Point, WI, 54481, USA.
J D MidwoodFisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences, 867 Lakeshore Rd., Burlington, ON, L7S 1A1, Canada.
T C PrattFisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences, 867 Lakeshore Rd., Burlington, ON, L7S 1A1, Canada.
A M RousDepartment of Biology, Fish Ecology and Conservation Physiology Lab, Carleton University, Ottawa, ON, Canada.
J L WithersU.S. Fish and Wildlife Service, Lower Great Lakes Fish and Wildlife Conservation Office, 1101 Casey Road, Basom, NY, 14013, USA.
C C KruegerDepartment of Fisheries and Wildlife, Center for Systems Integration and Sustainability, Michigan State University, 115 Manly Miles Building, 1405 South Harrison Road, East Lansing, MI, USA.
S J CookeDepartment of Biology, Fish Ecology and Conservation Physiology Lab, Carleton University, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freshwater ecosystems provide many ecosystem services; however, they are often degraded as a result of human activity. To address ecosystem degradation in the Laurentian Great Lakes, Canada and the United States of America established the Great Lakes Water Quality Agreement (GLWQA). In 1987, 43 highly polluted and impacted areas were identified under the GLWQA as having one or more of 14 Beneficial Use Impairments (BUIs) to the physical and chemical habitat for fish, wildlife and humans, and were designated as Areas of Concern (AOC). Subnational jurisdictions combined with local stakeholders, with support from federal governments, developed plans to remediate and restore these sites. Biotelemetry (the tracking of animals using electronic tags) provides information on the spatial ecology of fish in the wild relevant to habitat management and stock assessment. Here, seven case studies are presented where biotelemetry data were directly incorporated within the AOC Remedial Action Plan (RAP) process. Specific applications include determining seasonal fish-habitat associations to inform habitat restoration plans, identifying the distribution of pollutant-indicator species to identify exposure risk to contamination sources, informing the development of fish passage facilities to enable fish to access fragmented upstream habitats, and assessing fish use of created or restored habitats. With growing capacity for fish biotelemetry research in the Great Lakes, we discuss the strengths and weaknesses of incorporating biotelemetry into AOC RAP processes to improve the science and practice of restoration and to facilitate the delisting of AOCs.

Indexed as

TelemetryAnimalsCanadaConservation of Water ResourcesEcosystemEnvironmental MonitoringFishesHumansLakesWater PollutionWater QualityAcoustic telemetryFisheries managementFish habitat restorationHabitat restorationTelemetry

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.