觅食选择与种群增长动态之间的相互作用
Interplay between Foraging Choices and Population Growth Dynamics
AI总结：
本文将 logistic 种群增长模型与最优觅食模型耦合，揭示种群密度、个体觅食时间与种群规模之间的反馈机制。
摘要：
在本研究中，我们将一个种群动力学模型与一个最优觅食模型相耦合，以研究个体层面的成本收益与种群尺度动态之间的相互依赖关系。具体而言，我们研究了 logistic 增长模型，该模型为资源限制下的种群动力学提供了洞见。与指数增长不同，logistic 模型纳入了环境容纳量的概念，从而在生物种群接近环境极限时提供了更符合现实的描述。我们旨在研究在动态环境中驱动行为响应的个体层面激励的影响。具体来说，我们探究种群密度与个体觅食时间之间的耦合动态。研究结果揭示了种群规模对个体最优觅食投入的影响，而这种投入又会反过来影响种群规模。
英文摘要：
In this study, we couple a population dynamics model with a model for optimal foraging to study the interdependence between individual-level cost-benefits and population-scale dynamics. Specifically, we study the logistic growth model, which provides insights into population dynamics under resource limitations. Unlike exponential growth, the logistic model incorporates the concept of carrying capacity, thus offering a more realistic depiction of biological populations as they near environmental limits. We aim to study the impact of individual-level incentives driving behavioral responses in a dynamic environment. Specifically, explore the coupled dynamics between population density and individuals' foraging times. Our results yield insights into the effects of population size on individuals' optimal foraging efforts, which impacts the population's size.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
