Synthesis of Ecosystem Impacts of Lampreys Sex Ratio Based on the Von Bertalanffy and Lotka-Volterra Models


  • Xuan Yang



Von Bertalanffy, Lotka-Volterra, Cellular Automata, System Dynamics Model.


This study focuses on investigating the impact of changing sex ratios within the lamprey population on the broader ecosystem. To achieve this objective, a Von Bertalanffy growth model is developed, considering resource availability, to analyze how alterations in the sex ratio of lampreys influence the ecosystem. Firstly, the growth model of lampreys is integrated with ecosystem components. Secondly, unknown parameters of the model are obtained by simulating a comparative lamprey dataset. Additionally, an improved system dynamics model and metacellular automata model are utilized to simulate the effects of lamprey sex ratios on both the inorganic environment and the biological community, respectively. Furthermore, the study conducts a comprehensive analysis of resource utilization and reproductive success trends under varying sex ratios within a region, achieving a relative error of 5.5% between calculated and actual resource utilization values. The findings demonstrate that changes in sex ratio significantly impact population size fluctuations and ecosystem stability, with a sex ratio close to 0.5 favoring population reproduction and ecosystem stability. The refined model facilitates the attainment of population equilibrium over time turnover for both species, reflecting the ecosystem's self-regulation ability. These results provide insights into species' adaptation strategies in response to resource availability and shed light on the broader ecosystem implications of sex ratio changes across different species. This research contributes to a better understanding of ecological dynamics and informs future analyses of ecosystem responses to species-specific demographic shifts.


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How to Cite

Yang, X. (2024). Synthesis of Ecosystem Impacts of Lampreys Sex Ratio Based on the Von Bertalanffy and Lotka-Volterra Models. Highlights in Science, Engineering and Technology, 105, 198-205.