Evidence map›Paper›PMID 39467116›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Water quality-fisheries tradeoffs in a changing climate underscore the need for adaptive ecosystem-based management.

Donald Scavia, Stuart A Ludsin, Anna M Michalak, Daniel R Obenour, Mingyu Han, Laura T Johnson, Yu-Chen Wang, Gang Zhao, Yuntao Zhou

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Donald ScaviaSchool for Environment and Sustainability, University of Michigan, Ann Arbor, MI 19350.ORCID 0000-0002-2784-8269
Stuart A LudsinAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43212.ORCID 0000-0002-3866-2216
Anna M MichalakDepartment of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305.ORCID 0000-0002-6152-7979
Daniel R ObenourDepartment of Civil, Construction & Environmental Engineering, NC State University, Raleigh, NC 27695.ORCID 0000-0002-7459-218X
Mingyu HanSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0009-0006-1486-2615
Laura T JohnsonNational Center for Water Quality Research, Heidelberg University, Tiffin, OH 44883.ORCID 0000-0002-2432-2624
Yu-Chen WangIndependent consultant, Hsinchu City 300, Taiwan.
Gang ZhaoKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-2737-0530
Yuntao ZhouSchool of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-9714-5385

Funding

DOI | U.S. Geological Survey (USGS) G23QC00232-00National Science Foundation (NSF) cbet-2019435
6 · The paper itself

Abstract

Changes driven by both unanticipated human activities and management actions are creating wicked management landscapes in freshwater and marine ecosystems that require new approaches to support decision-making. By linking a predictive model of nutrient- and temperature-driven bottom hypoxia with observed commercial fishery harvest data from Lake Erie (United States-Canada) over the past century (1928-2022) and climate projections (2030-2099), we show how simple, yet robust models and routine monitoring data can be used to identify tradeoffs associated with nutrient management and guide decision-making in even the largest of aquatic ecosystems now and in the future. Our approach enabled us to assess planned nutrient load reduction targets designed to mitigate nutrient-driven hypoxia and show why they appear overly restrictive based on current fishery needs, indicating tradeoffs between water quality and fisheries management goals. At the same time, our temperature results show that projected climate change impacts on hypoxic extent will require more stringent nutrient regulations in the future. Beyond providing a rare example of bottom hypoxia driving changes in fishery harvests at an ecosystem scale, our study illustrates the need for adaptive ecosystem-based management, which can be informed by simple predictive models that can be readily applied over long time periods, account for tradeoffs across multiple management sectors (e.g., water quality, fisheries), and address ecosystem nonstationarity (e.g., climate change impacts on management targets). Such approaches will be critical for maintaining valued ecosystem services in the many aquatic systems worldwide that are vulnerable to multiple drivers of environmental change.

Indexed as

Climate ChangeEcosystemFisheriesWater QualityAnimalsConservation of Natural ResourcesHumansLakesTemperatureUnited Statesclimate changeecological forecastingeutrophicationfisherieshypoxia

Identifiers

PMID39467116
PMCPMC11551330

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.