Abstract

Early work based on the Dynamical Systems Theory demonstrates that the larger the number of interacting populations, the system tends to be more unstable. Nevertheless, empirical evidence indicates that natural populations more often exhibit stable dynamics, in spite of being embedded into complex communities. Adaptive behavior of individuals is found to be one of the mechanisms promoting population stabilization. In this work, we analyze the theoretical advances about the role of optimal foraging (FO) as a stabilizing force of population dynamics, in model communities with different levels of structural complexity. Our analysis is organized around three central points: i) what is the control system against which it is compared the stability of a population whose indviduals exhibit FO?, ii) what stability concept is being used?, and iii) how the assumptions of FO are incorporated within the rules governing the dynamics of populations? Based on our analysis, we specify the points that should be addressed for evaluating properly the stabilizing role of FO, as well as other kinds of adaptive behavior that satisfy the assumptions of the Ecological Optimization Theory. Finally, we conjecture that the stabilizing effect of FO will be qualitatively dependent on the level of resources in the system, and the ratio of environmental perturbation rate to the predator's adaptation rate. © Sociedad de Biología de Chile.