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Examination of the effects of nutrient regeneration mechanisms on plankton dynamics using aquatic biogeochemical modeling

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  • Ramin, Maryam
  • Perhar, Gurbir
  • Shimoda, Yuko
  • Arhonditsis, George B.

Abstract

The prolonged stratification of lakes due to climate warming is expected to increase the dependence of planktonic food webs on internal nutrient regeneration mechanisms (i.e., microbial mineralization, zooplankton excretion). Our current conceptualization of aquatic communities, however, suggests that while the strength of the recycling feedback loop is indeed related to climate forcing, other biotic factors (e.g., zooplankton community composition) along with the system productivity may also be equally important. What do the contemporary operational models predict about the role of recycling rates in different trophic environments? How tight is the relationship between mineralization rates and lake warming? How realistically do modelers describe the mechanisms by which nutrients in non-living organic matter are recycled into inorganic forms? Our study addresses these questions using a complex biogeochemical model that simulates multiple elemental cycles (C, N, P, Si, O), multiple functional phytoplankton (diatoms, green algae and cyanobacteria) and zooplankton (copepods and cladocerans) groups. We relaxed the assumption of strict zooplankton homeostasis by allowing nutrient use efficiency to vary with food quality. Our analysis shows that the nutrient regeneration rates can play a major role in planktonic food webs, but their relative importance is somewhat inconsistent with the existing paradigm. We provide evidence that the recycled material and the associated energy fluxes can be significant drivers in low as well as in high-productivity ecosystems depending on the period of the year examined. Warmer climatic conditions and longer stratification periods will increase the dependence of lakes on nutrient regeneration rates. The lake productivity response, however, is non-linear and non-monotonic and is modulated by the type of nutrient limitation (nitrogen or phosphorus) experienced. Our study concludes by pinpointing some problems of the existing mathematical representation of the recycling rates, and emphasizes the need to improve our understanding of the interplay among microbial metabolism, trophic state, and lake thermal structure.

Suggested Citation

  • Ramin, Maryam & Perhar, Gurbir & Shimoda, Yuko & Arhonditsis, George B., 2012. "Examination of the effects of nutrient regeneration mechanisms on plankton dynamics using aquatic biogeochemical modeling," Ecological Modelling, Elsevier, vol. 240(C), pages 139-155.
  • Handle: RePEc:eee:ecomod:v:240:y:2012:i:c:p:139-155
    DOI: 10.1016/j.ecolmodel.2012.04.018
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    References listed on IDEAS

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    1. Law, Tony & Zhang, Weitao & Zhao, Jingyang & Arhonditsis, George B., 2009. "Structural changes in lake functioning induced from nutrient loading and climate variability," Ecological Modelling, Elsevier, vol. 220(7), pages 979-997.
    2. 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.
    3. 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.
    4. Jeff J. Hudson & William D. Taylor & David W. Schindler, 1999. "Planktonic nutrient regeneration and cycling efficiency in temperate lakes," Nature, Nature, vol. 400(6745), pages 659-661, August.
    5. Arhonditsis, George B. & Qian, Song S. & Stow, Craig A. & Lamon, E. Conrad & Reckhow, Kenneth H., 2007. "Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake," Ecological Modelling, Elsevier, vol. 208(2), pages 215-229.
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    Cited by:

    1. Guo, Qing & Wang, Yi & Dai, Chuanjun & Wang, Lijun & Liu, He & Li, Jianbing & Tiwari, Pankaj Kumar & Zhao, Min, 2023. "Dynamics of a stochastic nutrient–plankton model with regime switching," Ecological Modelling, Elsevier, vol. 477(C).
    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.
    3. Zou, Rui & Wu, Zhen & Zhao, Lei & Elser, James J. & Yu, Yanhong & Chen, Yihui & Liu, Yong, 2020. "Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake: Insights from a nutrient flux tracking modeling," Ecological Modelling, Elsevier, vol. 416(C).

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