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[Research advance on lake ecosystem dynamic models].

Yong Liu1, Huaicheng Guo, Yingying Fan

  • 1College of Environmental Sciences, Peking University, Beijing 100871, China. yongliu@pku.edu.cn

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|September 27, 2005
PubMed
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This study reviews lake ecosystem modeling, detailing procedures, software, and challenges like data gaps. It highlights advancements from simple to complex models and suggests improvements for future research.

Area of Science:

  • Ecology and environmental science, focusing on aquatic ecosystem dynamics.
  • System analysis and mathematical modeling applied to limnology.

Context:

  • Lake ecosystem research has evolved significantly since the 1960s.
  • Modeling lake dynamics involves stages from problem identification to verification.
  • Software tools like LakeWeb, LEEDS, CE-QUAL-ICM, WASP, AQUATOX, and ECOPATH are crucial for simulation.

Purpose:

  • To summarize procedures and software for studying lake ecosystem dynamics.
  • To analyze the progress and challenges in lake ecosystem modeling.
  • To identify areas for improvement in current modeling approaches.

Summary:

  • The paper outlines the multi-stage process of lake ecosystem modeling, from initial problem identification to model verification.
  • It discusses the development from simple to complex hydrodynamic and ecological models, noting the use of exergy as an objective function.

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  • Key software examples (LakeWeb, LEEDS, CE-QUAL-ICM, WASP, AQUATOX, ECOPATH) are reviewed, along with their applications and limitations, particularly in China.

    • Impact:

    • Identifies critical shortages in current models, including insufficient data, underestimation of uncertainties, and the role of bacteria.
    • Suggests strategies to overcome these limitations, such as long-term monitoring, data sharing, and integrated watershed-lake modeling.
    • Aims to guide future research towards more robust and comprehensive lake ecosystem dynamic models.