Dynamics of Coral-Algae Phase Shifts via Ecological Stoichiometric Approach

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Abstract

Coral reefs have evolved over hundreds of millions of years and are now considered one of the most critical yet vulnerable ecosystem on earth. Environmental changes, including variations in light availability, nutrient levels, and fishing pressure, can significantly impact the health of coral reefs, potentially leading to ecosystem degradation. A coral-macroalgae-herbivorous fish model is developed based on ecological stoichiometry to investigate the dynamics of coral-algae phase shifts. The positivity, invariance, and dissipativity of the model are carefully established, the existence and stability of equilibria are rigorously demonstrated, and rich dynamics such as bistability and various types of periodic oscillations are numerically explored. Furthermore, the effects of environmental factors (e.g., light intensity, nutrient levels, and fishing pressure) on the system’s dynamics are investigated. The main findings highlight that environmental variations are key drivers of ecological phase transitions in coral reef ecosystems, providing more insights into the mechanisms underlying coral-algae dynamics and offering implications for the sustainable management of coral reefs.

Author Biographies

  • Xin Zhao

    Department of Mathematics, Harbin Institute of Technology (Weihai), Weihai 264209, P.R. China

  • Na Tian

    Center for Mathematical Biosciences, School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, P.R. China

  • Shiyang Yu

    Center for Mathematical Biosciences, School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, P.R. China

    College of Mathematics Science, Bohai University, Jinzhou 121013, P.R. China

  • Meng Fan

    Center for Mathematical Biosciences, School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, P.R. China

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DOI

10.4208/csiam-ls.SO-2025-0015

How to Cite

Dynamics of Coral-Algae Phase Shifts via Ecological Stoichiometric Approach. (2025). CSIAM Transactions on Life Sciences, 1(4), 633-677. https://doi.org/10.4208/csiam-ls.SO-2025-0015