2024/08/05 by Jimmy Calvo-Monge, Calvo-Monge, Jimmy, Baltazar Espinoza +3
Decision Sciences · Environmental Science · Social Sciences · #92-08 #92-10 #92B05 #Dynamical Systems (math.DS) #Evolutionary Game Theory and Cooperation #FOS: Biological sciences #FOS: Mathematics #Innovation Diffusion and Forecasting #Populations and Evolution (q-bio.PE) #Sustainability and Ecological Systems Analysis
paper · pdf · doi:10.48550/arxiv.2408.02552
openalex publication_date 2024/08/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.