As a critical consumer layer and key regulator of ecosystem function, the sex ratio of lampreys can be influenced by environmental resource conditions. To investigate the impact of this biological adaptive strategy on both their population and the broader ecosystem, we have developed multiple models to address four primary issues. Firstly, we utilized the Lotka-Volterra model as a foundation. Given the significant differences in environmental factor requirements and competitive dynamics between genders, we extended the model to incorporate gender-specific influences. This allows for a more precise exploration of changes in the food chain and the interaction mechanisms between interspecific competition and sex ratio. Secondly, we designed an innovative population dynamics model that incorporates nest competition. Unlike traditional single-population dynamic models, this approach considers numerous related factors, such as external environmental conditions and population competition, making it more suitable for analyzing lamprey populations and their ecological impacts. This enhancement significantly improves the accuracy of the results. Thirdly, the TOPSIS model was employed to evaluate and predict the optimal solution for lampreys within their ecological context. By proportionally dividing and scoring various datasets, the model identifies the balance point of the optimal solution, enabling analysis of how lamprey size affects the advantages and disadvantages of their population dynamics. Finally, to more accurately assess whether changes in the sex ratio of lampreys benefit other species, we utilized a cellular automaton model. This simulation accounts for key environmental factors, including food availability and competition intensity, providing a comprehensive understanding of potential cross-species interactions.

Wang Hanfei, Yun Jiabao, Zheng Tianyi. Resource Availability and Sex Ratios in Lampreys. Academic Journal of Computing & Information Science (2025), Vol. 8, Issue 7: 55-63. https://doi.org/10.25236/AJCIS.2025.080707.

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