Dynamic Modeling in Behavioral Ecology (eBook)

Marc Mangel, Colin Whitcomb Clark (Autoren)

eBook Download: PDF

2019
Princeton University Press (Verlag)
978-0-691-20696-7 (ISBN)

Infos

This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "e;applied"e; chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.

Produkt-Details

• Erscheint lt. Verlag: 31.12.2019
• Reihe/Serie: Monographs in Behavior and Ecology
• Reihe/Serie: Monographs in Behavior and Ecology
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Biologie ► Humanbiologie
• Themenwelt: Naturwissenschaften ► Biologie ► Zoologie
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
• Schlagworte: Alternative hypothesis • Analogy • Bayesian • Bayesian inference • Bayesian Statistics • Behavioral Ecology • behavioral modeling • Biology • Biomass (ecology) • Calculation • Case study • central place foraging • Charles Darwin • Computation • Control function (econometrics) • Control Theory • Conversion Factor • Cumulative distribution function • Decision-Making • Decision Theory • Density dependence • differential equation • Dynamic Programming • Ecology • Elaboration • environmental factor • estimation • evolutionary biology • evolutionary ecology • expected value • Fecundity • Field Experiment • fitness function • Flocking (behavior) • foraging • functional response • group selection • Hooke's law • insect • Integration by parts • Intrinsic factor • Inverse Probability • Iteration • local optimum • Loss Function • Marginal value • Markov Chain • mate choice • Mathematical and theoretical biology • Mathematical Optimization • Monte Carlo Method • Natural selection • negative binomial distribution • optimal control • Optimal Decision • Optimal Foraging Theory • optimization problem • organism • Oviparity • Parameter • parasitism • Phenotypic plasticity • Pheromone • Poisson distribution • Poisson Point Process • population dynamics • posterior probability • predation • Prediction • Prior probability • Probability • Probability Distribution • Production Function • Qualitative property • Random Variable • Reinforcement Learning • Reproductive value (population genetics) • result • Risk Aversion • Sampling (Statistics) • Schematic • selection algorithm • Sensitivity Analysis • Sexual Selection • Social behavior • State of the Environment • state variable • statistical model • stochastic differential equation • stochastic dynamic programming • Stochastic Modeling • stochastic optimization • Stochastic process • Subroutine • survival function • theory • Trade-off • Trophic level • Utility • Zooplankton
• ISBN-10: 0-691-20696-1 / 0691206961
• ISBN-13: 978-0-691-20696-7 / 9780691206967