Toward Improved Understanding of Streamflow Effects on Freshwater Fishes

Autor: Mary C. Freeman, Kevin R. Bestgen, Daren Carlisle, Emmanuel A. Frimpong, Nathan R. Franssen, Keith B. Gido, Elise Irwin, Yoichiro Kanno, Charles Luce, S. Kyle McKay, Meryl C. Mims, Julian D. Olden, N. LeRoy Poff, David L. Propst, Laura Rack, Allison H. Roy, Edward S. Stowe, Annika Walters, Seth J. Wenger
Rok vydání: 2022
Předmět:
Zdroj: Fisheries. 47:290-298
ISSN: 1548-8446
0363-2415
Popis: Understanding the effects of hydrology on fish populations is essential to managing for native fish conservation. However, despite decades of research illustrating streamflow influences on fish habitat, reproduction, and survival, biologists remain challenged when tasked with predicting how fish populations will respond to changes in flow regimes. This uncertainty stems from insufficient understanding of the context-dependent mechanisms underlying fish responses to, for example, periods of reduced flow or altered frequency of high-flow events. We aim to address this gap by drawing on previous research to hypothesize mechanisms by which low and high flows influence fish populations and communities, identifying challenges that stem from data limitations and ecological complexity, and outlining research directions that can advance an empirical basis for prediction. Focusing flow ecology research on testing and refining mechanistic hypotheses can help narrow management uncertainties and better support species conservation in changing flow regimes. U.S. Army Corps of Engineers Published version This work was conducted as a part of the Fish-Flow Working Group convened at the John Wesley Powell Center for Analysis and Synthesis, funded by the U.S. Army Corps of Engineers. We appreciate contributions to our discussions by Catherine Murphy. Comments provided by Lindsey Bruckerhoff and three anonymous reviewers substantially improved this manuscript. Any use of trade, product or firm names does not imply endorsement by the U.S. government. There is no conflict of interest declared in this article. Public domain – authored by a U.S. government employee
Databáze: OpenAIRE
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