Unknown

Dataset Information

Game-theoretic methods for functional response and optimal foraging behavior.


ABSTRACT: We develop a decision tree based game-theoretical approach for constructing functional responses in multi-prey/multi-patch environments and for finding the corresponding optimal foraging strategies. Decision trees provide a way to describe details of predator foraging behavior, based on the predator's sequence of choices at different decision points, that facilitates writing down the corresponding functional response. It is shown that the optimal foraging behavior that maximizes predator energy intake per unit time is a Nash equilibrium of the underlying optimal foraging game. We apply these game-theoretical methods to three scenarios: the classical diet choice model with two types of prey and sequential prey encounters, the diet choice model with simultaneous prey encounters, and a model

SUBMITTER: Cressman R 

PROVIDER: S-EPMC3938838 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature