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

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.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-10-28
DOI
https://doi.org/10.1073/pnas.2322595121
Citations
9
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
6.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Laura T. Johnson, Stuart A. Ludsin, Daniel R. Obenour, Gang Zhao et al.
9 citations
Proceedings of the National Academy of Sciences
Fish Ecology and Management Studies
6.22
article

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

Laura T. Johnson, Stuart A. Ludsin, Daniel R. Obenour, Gang Zhao, Donald Scavia, Yuntao Zhou, Anna M. Michalak, Yuchen Wang, Mingyu Han
article en
9 citations

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.

Proceedings of the National Academy of SciencesVol. 121(45)
North Carolina State University (US), Shanghai Jiao Tong University (CN), Carnegie Institution for Science (US), Chinese Academy of Sciences (CN), Heidelberg University (DE), University of Michigan (US), North Central State College (US), Quality Research (US), Institute of Geographic Sciences and Natural Resources Research (CN), The Ohio State University (US), Heidelberg University (US), Stanford University (US)
National Science Foundation, U.S. Environmental Protection Agency, National Natural Science Foundation of China, National Oceanic and Atmospheric Administration, U.S. Geological Survey, Division of Chemical, Bioengineering, Environmental, and Transport Systems, U.S. Army Corps of Engineers
Life below water
Openalex Percentile: Top 3%
Fish Ecology and Management Studies
6.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.