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Modeling the refuge effect of submerged macrophytes in ecological dynamics of shallow lakes: A new model of fish functional response

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  • Li, Junmin
  • Huang, Ping
  • Zhang, Renduo

Abstract

Submerged macrophytes often provide refuge for zooplankton from fish predation in temperate and subtropical shallow lakes. However, since the relationship between submerged macrophyte abundance and its refuge effect has not been well established, the refuge effect is difficult to be simulated. In this paper, we constructed mathematical models to describe the refuge effect of submerged macrophytes on fish foraging activities and ecological dynamics of shallow lakes based on the previous studies. We clarified the underlying behavioral mechanisms of the observed functional responses through analyses of the fish foraging behavior, extracted the affected variables related to the refuge effect, formulized the relationship between the affected variables and submerged vegetation density, and determined parameter values with a compensative procedure. Calibration and validation results indicated that the new functional response model was successful to simulate the refuge effect on interfering with fish foraging behavior. Moreover, the model was cooperated into a minimal ecological model for shallow lakes. Modeling results showed that the model was able to simulate the refuge effect in ecological dynamics, and made the ecological model produce significantly different results from those with the existing functional response models.

Suggested Citation

  • Li, Junmin & Huang, Ping & Zhang, Renduo, 2010. "Modeling the refuge effect of submerged macrophytes in ecological dynamics of shallow lakes: A new model of fish functional response," Ecological Modelling, Elsevier, vol. 221(17), pages 2076-2085.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:17:p:2076-2085
    DOI: 10.1016/j.ecolmodel.2010.05.005
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    1. Janse, J.H. & Scheffer, M. & Lijklema, L. & Van Liere, L. & Sloot, J.S. & Mooij, W.M., 2010. "Estimating the critical phosphorus loading of shallow lakes with the ecosystem model PCLake: Sensitivity, calibration and uncertainty," Ecological Modelling, Elsevier, vol. 221(4), pages 654-665.
    2. Florencia Carusela, M. & Momo, Fernando R. & Romanelli, Lilia, 2009. "Competition, predation and coexistence in a three trophic system," Ecological Modelling, Elsevier, vol. 220(19), pages 2349-2352.
    3. Amemiya, Takashi & Enomoto, Takatoshi & Rossberg, Axel G. & Yamamoto, Tetsuya & Inamori, Yuhei & Itoh, Kiminori, 2007. "Stability and dynamical behavior in a lake-model and implications for regime shifts in real lakes," Ecological Modelling, Elsevier, vol. 206(1), pages 54-62.
    4. Matt J. Michel & Melinda M. Adams, 2009. "Differential effects of structural complexity on predator foraging behavior," Behavioral Ecology, International Society for Behavioral Ecology, vol. 20(2), pages 313-317.
    5. Wang, Hao & Morrison, Wendy & Singh, Abhinav & Weiss, Howard (Howie), 2009. "Modeling inverted biomass pyramids and refuges in ecosystems," Ecological Modelling, Elsevier, vol. 220(11), pages 1376-1382.
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    1. Jeong, Yong Dam & Kim, Sangil & Jung, Il Hyo & Cho, Giphil, 2021. "Optimal harvesting strategy for hairtail, Trichiurus Lepturus, in Korea Sea using discrete-time age-structured model," Applied Mathematics and Computation, Elsevier, vol. 392(C).

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