Physiological and nutritional constraints on zooplankton productivity due to eutrophication and climate change predicted using a resource-based modeling approach

Author:

Zhang Chen12,Brett Michael T.2,Nielsen Jens M.2,Arhonditsis George B.3,Ballantyne Ashley P.4,Carter Jackie L.5,Kann Jacob6,Müller-Navarra Dörthe C.7,Schindler Daniel E.5,Stockwell Jason D.8,Winder Monika9,Beauchamp David A.10

Affiliation:

1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.

2. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.

3. Ecological Modeling Laboratory, Department of Physical & Environmental Sciences, University of Toronto, Toronto, ON M1C 1A4, Canada.

4. Department of Ecosystem and Conservation Science, University of Montana, 32 Campus Drive, Missoula, MT 59801, USA.

5. School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195, USA.

6. Aquatic Ecosystem Sciences, LLC, 295 East Main St., Suite 7, Ashland, OR 97520, USA.

7. Department of Biology, University of Hamburg, Hamburg, 20146, Germany.

8. Rubenstein Ecosystem Science Laboratory, University of Vermont, Burlington, VT 05401, USA.

9. Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, SE-10691, Sweden.

10. US Geological Survey, Western Fisheries Research Center, 6505 Northeast 65th Street, Seattle, WA 98115, USA.

Abstract

Emerging evidence suggests that zooplankton production is affected by physiological and nutritional constraints due to climate change and eutrophication, which in turn could have broad implications for food-web dynamics and fisheries production. In this study, we developed a resource-based zooplankton production dynamics model that causally links freshwater cladoceran and copepod daily production-to-biomass (P/B) ratios with water temperature, phytoplankton biomass and community composition, and zooplankton feeding selectivity. This model was used to evaluate constraints on zooplankton growth under four hypothetical scenarios: involving natural plankton community seasonal succession; lake fertilization to enhance fisheries production; eutrophication; and climatic warming. Our novel modeling approach predicts zooplankton production is strongly dependent on seasonal variation in resource availability and quality, which results in more complex zooplankton dynamics than predicted by simpler temperature-dependent models. For mesotrophic and hypereutrophic lakes, our study suggests that the ultimate control over zooplankton P/B ratios shifts from physiological control during colder periods to strong resource control during warmer periods. Our resource-based model provides important insights into the nature of biophysical control of zooplankton under a changing climate that has crucial implications for food web energy transfer and fisheries production.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference71 articles.

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4. Ballantyne, A. P. 2001. The effects of food quality on zooplankton and sockeye production in Lake Washington. M.Sc. thesis, Department of Civil and Environmental Engineering, University of Washington.

5. Beauchamp, D.A., and Overman, N.C. 2004. Evaluating the effects of fertilization on sockeye salmon production in Redoubt Lake, Alaska. Final Report to US Forest Service, Washington Cooperative Fish and Wildlife Research Unit Report #WACFWRU-03-03, Seattle.

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