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The effects of seston food quality on planktonic food web patterns

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  • Perhar, Gurbir
  • Arhonditsis, George B.

Abstract

In planktonic food webs, the conversion rate of plant material to herbivore biomass is determined by a variety of factors such as seston biochemical/elemental composition, phytoplankton cell morphology, and colony architecture. Despite the overwhelming heterogeneity characterizing the plant–animal interface, plankton population models usually misrepresent the food quality constraints imposed on zooplankton growth. In this study, we reformulate the zooplankton grazing term to include seston food quality effects on zooplankton assimilation efficiency and examine its ramifications on system stability. Using different phytoplankton parameterizations with regards to growth strategies, light requirements, sinking rates, and food quality, we examined the dynamics induced in planktonic systems under varying zooplankton mortality/fish predation, light conditions, nutrient availability, and detritus food quality levels. In general, our analysis suggests that high food quality tends to stabilize the planktonic systems, whereas unforced oscillations (limit cycles) emerge with lower seston food quality. For a given phytoplankton specification and resource availability, the amplitude of the plankton oscillations is primarily modulated from zooplankton mortality and secondarily from the nutritional quality of the alternative food source (i.e., detritus). When the phytoplankton community is parameterized as a cyanobacterium-like species, conditions of high nutrient availability combined with high zooplankton mortality led to phytoplankton biomass accumulation, whereas a diatom-like parameterization resulted in relatively low phytoplankton to zooplankton biomass ratios highlighting the notion that high phytoplankton food quality allows the zooplankton community to sustain relatively high biomass and to suppress phytoplankton biomass to low levels. During nutrient and light enrichment conditions, both phytoplankton and detritus food quality determine the extent of the limit cycle region, whereas high algal food quality increases system resilience by shifting the oscillatory region towards lower light attenuation levels. Detritus food quality seems to regulate the amplitude of the dynamic oscillations following enrichment, when algal food quality is low. These results highlight the profitability of the alternative food sources for the grazer as an important predictor for the dynamic behavior of primary producer–grazer interactions in nature.

Suggested Citation

  • Perhar, Gurbir & Arhonditsis, George B., 2009. "The effects of seston food quality on planktonic food web patterns," Ecological Modelling, Elsevier, vol. 220(6), pages 805-820.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:6:p:805-820
    DOI: 10.1016/j.ecolmodel.2008.12.019
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    References listed on IDEAS

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    1. Zhao, Jingyang & Ramin, Maryam & Cheng, Vincent & Arhonditsis, George B., 2008. "Plankton community patterns across a trophic gradient: The role of zooplankton functional groups," Ecological Modelling, Elsevier, vol. 213(3), pages 417-436.
    2. Dörthe C. Müller-Navarra & Michael T. Brett & Sangkyu Park & Sudeep Chandra & Ashley P. Ballantyne & Eduardo Zorita & Charles R. Goldman, 2004. "Unsaturated fatty acid content in seston and tropho-dynamic coupling in lakes," Nature, Nature, vol. 427(6969), pages 69-72, January.
    3. Dörthe C. Müller-Navarra & Michael T. Brett & Anne M. Liston & Charles R. Goldman, 2000. "A highly unsaturated fatty acid predicts carbon transfer between primary producers and consumers," Nature, Nature, vol. 403(6765), pages 74-77, January.
    4. Mulder, Kenneth & Bowden, William Breck, 2007. "Organismal stoichiometry and the adaptive advantage of variable nutrient use and production efficiency in Daphnia," Ecological Modelling, Elsevier, vol. 202(3), pages 427-440.
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    Cited by:

    1. Aijun Liu & Lu Cai & Fan Chen, 2022. "Evolutionary Path and Sustainable Optimization of an Innovation Ecosystem for a High-Tech Enterprise Based on Empirical Evidence from Hubei Province," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    2. Perhar, Gurbir & Arhonditsis, George B. & Brett, Michael T., 2013. "Modeling zooplankton growth in Lake Washington: A mechanistic approach to physiology in a eutrophication model," Ecological Modelling, Elsevier, vol. 258(C), pages 101-121.

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