Interplay between Foraging Choices and Population Growth Dynamics

Jimmy Calvo-Monge, Baltazar Espinoza, Fabio Sanchez
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Abstract

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.
觅食选择与种群增长动态之间的相互作用
在本研究中,我们将一个种群动态模型与一个优化饲养模型结合起来,研究个体层面的成本效益与种群规模动态之间的相互依存关系。具体来说,我们研究了逻辑增长模型,该模型为资源限制条件下的种群动力学提供了启示。与指数增长不同,逻辑模型包含了承载能力的概念,因此能更真实地描述生物种群接近环境极限时的情况。我们的目标是研究个体层面的激励机制对动态环境中行为反应的影响。具体来说,我们要探索种群密度和个体觅食时间之间的耦合动态。我们的研究结果深入揭示了种群规模对个体最佳觅食努力的影响,而个体最佳觅食努力又会影响种群规模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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