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Updated: Jan 30, 2026

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Enhanced lake-eutrophication model combined with a fish sub-model using a microcosm experiment.

Xia Li1, Lina Hao2, Likun Yang3

  • 1School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, 300384, China.

Environmental Science and Pollution Research International
|January 20, 2019
PubMed
Summary

A new three-trophic-level eutrophication model, including fish, was developed using lake microcosms. This enhanced model provides more accurate simulations of aquatic environments than traditional two-trophic-level models.

Keywords:
Eutrophication modelFish sub-modelMCMC-GAMicrocosm experimentThree-trophic-level modelUrban lake

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Area of Science:

  • Aquatic ecology
  • Environmental modeling
  • Limnology

Background:

  • Eutrophication models are crucial for assessing aquatic environments, typically focusing on phytoplankton and zooplankton.
  • Existing models often lack fish sub-models, and key fish parameters remain undefined.
  • Lake ecosystems naturally involve three trophic levels: phytoplankton, zooplankton, and fish.

Purpose of the Study:

  • To establish a lake microcosm experimental system for determining fish sub-model parameters.
  • To develop and validate a three-trophic-level eutrophication model incorporating a fish sub-model.
  • To compare the accuracy of the three-trophic-level model against a two-trophic-level model.

Main Methods:

  • Lake microcosm experiments were conducted to collect data for fish sub-model parameterization.
  • A three-trophic-level eutrophication model was constructed by integrating the fish sub-model.
  • Bayesian Markov Chain Monte Carlo and genetic algorithms were employed for model parameter calibration.

Main Results:

  • The three-trophic-level model demonstrated lower relative errors for key parameters like phosphate (5.31%), nitrate (1.94%), and ammonia nitrogen (4.17%) compared to the two-trophic-level model.
  • Relative errors for dissolved oxygen, zooplankton, and chlorophyll were between 3-4%.
  • The model successfully determined parameter ranges for the fish sub-model.

Conclusions:

  • The three-trophic-level eutrophication model offers significantly improved accuracy in simulating lake ecosystems.
  • Incorporating fish dynamics enhances the understanding and predictive capability of eutrophication models.
  • This study provides a validated framework for more comprehensive aquatic environment assessments.