Evidence map›Paper›PMID 34326565›Full record

ArticleWetlands (Wilmington, N.C.)2019

Leveraging a Landscape-Level Monitoring and Assessment Program for Developing Resilient Shorelines throughout the Laurentian Great Lakes.

Donald G Uzarski, Douglas A Wilcox, Valerie J Brady, Matthew J Cooper, Dennis A Albert, Jan J H Ciborowski, Nicholas P Danz, Anne Garwood, Joseph P Gathman, Thomas M Gehring and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Wetlands (Wilmington, N.C.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

21 authors at 15 institutions in 2 countries.

Donald G UzarskiInstitute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mt. Pleasant, MI, USA.
Douglas A WilcoxDepartment of Environmental Science and Ecology, SUNY College at Brockport, Brockport, NY, USA.
Valerie J BradyNatural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
Matthew J CooperInstitute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mt. Pleasant, MI, USA.
Dennis A AlbertOregon State University, Corvallis, OR, USA.
Jan J H CiborowskiUniversity of Windsor, Windsor, ON, Canada.
Nicholas P DanzUniversity of Wisconsin-Superior, Superior, WI, USA.
Anne GarwoodMichigan Department of Environmental Quality, Lansing, MI, USA.
Joseph P GathmanUniversity of Wisconsin-River Falls, River Falls, WI, USA.
Thomas M GehringInstitute for Great Lakes Research, CMU Biological Station, and Department of Biology, Central Michigan University, Mt. Pleasant, MI, USA.
Greg P GrabasEnvironment and Climate Change Canada, Toronto, ON, Canada.
Robert W HoweUniversity of Wisconsin-Green Bay, Green Bay, WI, USA.
Lucinda B JohnsonNatural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
Gary A LambertiUniversity of Notre Dame, Notre Dame, IN, USA.
Ashley H MoerkeAquatic Research Laboratory, Lake Superior State University, Sault Ste. Marie, MI, USA.
Gerald J NiemiNatural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, USA.
Todd RedderLimnoTech Corporate HQ, Ann Arbor, MI, USA.
Carl R RuetzAnnis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA.
Alan D SteinmanAnnis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA.
Douglas C TozerLong Point Waterfowl and Wetlands Research Program, Bird Studies Canada, Port Rowan, ON, Canada.
T Kevin O'DonnellU. S. Environmental Protection Agency, Great Lakes National Program Office, Chicago, IL, USA.
Central Michigan University · USUniversity of Minnesota, Duluth · USGrand Valley State University · USBirds Canada · CAEnvironment and Climate Change Canada · CAIllinois Environmental Protection Agency · USLake Superior State University · USMichigan Department of Environment, Great Lakes, and Energy · USOregon State University · USSUNY Brockport · USUniversity of Notre Dame · USUniversity of Windsor · CAUniversity of Wisconsin–Green Bay · USUniversity of Wisconsin–River Falls · USUniversity of Wisconsin–Superior · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Traditionally, ecosystem monitoring, conservation, and restoration have been conducted in a piecemeal manner at the local scale without regional landscape context. However, scientifically driven conservation and restoration decisions benefit greatly when they are based on regionally determined benchmarks and goals. Unfortunately, required data sets rarely exist for regionally important ecosystems. Because of early recognition of the extreme ecological importance of Laurentian Great Lakes coastal wetlands, and the extensive degradation that had already occurred, significant investments in coastal wetland research, protection, and restoration have been made in recent decades and continue today. Continued and refined assessment of wetland condition and trends, and the evaluation of restoration practices are all essential to ensuring the success of these investments. To provide wetland managers and decision makers throughout the Laurentian Great Lakes basin with the optimal tools and data needed to make scientifically-based decisions, our regional team of Great Lakes wetland scientists developed standardized methods and indicators used for assessing wetland condition. From a landscape perspective, at the Laurentian Great Lakes ecosystem scale, we established a stratified random-site-selection process to monitor birds, anurans, fish, macroinvertebrates, vegetation, and physicochemical conditions of coastal wetlands in the US and Canada. Monitoring of approximately 200 wetlands per year began in 2011 as the Great Lakes Coastal Wetland Monitoring Program. In this paper, we describe the development, delivery, and expected results of this ongoing international, multi-disciplinary, multi-stakeholder, landscape-scale monitoring program as a case example of successful application of landscape conservation design.

Indexed as

Coastal wetlandsEcosystem healthMonitoringThe Laurentian Great Lakes

Identifiers

PMID34326565
PMCPMC8318185
OpenAlexW2942357775

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.