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Foraging Theory

John R. Krebs, David W. Stephens

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Princeton University Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein

Beschreibung

This account of the current state of foraging theory is also a valuable description of the use of optimality theory in behavioral ecology in general. Organizing and introducing the main research themes in economic analyses of animal feeding behavior, the authors analyze the empirical evidence bearing on foraging models and answer criticisms of optimality modeling. They explain the rationale for applying optimality models to the strategies and mechanics of foraging and present the basic "average-rate maximizing" models and their extensions.


The work discusses new directions in foraging research: incorporating incomplete information and risk-sensitive behavior in foraging models; analyzing trade-offs, such as nutrient requirements and the threat of being eaten while foraging; formulating dynamic models; and building constrained optimization models that assume that foragers can use only simple "rules of thumb." As an analysis of these and earlier research developments and as a contribution to debates about the role of theory in evolutionary biology. Foraging Theory will appeal to a wide range of readers, from students to research professionals, in behavioral ecology, population and community ecology, animal behavior, and animal psychology, and especially to those planning empirical tests of foraging models.

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Schlagwörter

Decision-making, Risk aversion, Ambiguity, Particle filter, Strong inference, Survival analysis, Optimal foraging theory, Holism, Nutrient, Receiver operating characteristic, Sensitivity analysis, Utility, Post hoc analysis, Calculation, Matching law, Net energy gain, Optimization problem, Marginal utility, Constrained optimization, Sodium, Ecology, Requirement, Consumer choice, Expected utility hypothesis, Marginal rate of substitution, Probability, Indifference curve, Theorem, Mathematical optimization, Rule of thumb, Trade-off, Counterintuitive, Risk premium, Satisficing, Herbivore, Poisson distribution, Efficiency, Posterior probability, Counterexample, Foraging, Markov process, Mimicry, Dynamic programming, Alternative hypothesis, Central limit theorem, Normal distribution, Predation, Ordinal utility, Population, Quantity, Optimality model, Reproductive success, Inference, Counting, Sampling error, Shadow price, Rational choice theory, Variance, Markov chain, Prediction, P-value, Prior probability, Standard deviation, Price elasticity of demand, Probability distribution, Population process, Habituation, Behavioral ecology, Present value, Optimal stopping