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Adaptation in Stochastic Environments : Lecture Notes in Biomathematics - Jin Yoshimura

Adaptation in Stochastic Environments

Lecture Notes in Biomathematics

By: Jin Yoshimura (Editor), Colin W. Clark (Editor)

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This volume consists of ten expository articles describing processes of evolution via natural selection in stochastic environments. Maintaining an elementary level throughout, the authors describe the latest researches in the mathematical theory of adaptation in stochastic environments. Topics discussed include: history of past research; fitness optimization criteria; environmental and demographic variability; life-history evolution; evolutionarily stable strategies; population dynamics of age-structured populations; phenotypic plasticity and imperfect information; evolution of behavioural adaptations; methods of quanitifying environmental predictability; genetics of conditional strategies; the co-existence of multiple life-history strategies; and adaptive learning.

Introduction: Historical Remarks.- Fitness in Random Environments.- Density Dependent Life History Evolution in Fluctuating Environments.- Life History Evolution and Population Dynamics in Variable Environments: Some Insights from Stochastic Demography.- Plasticity in Fluctuating Environments.- Optimization and ESS Analysis for Populations in Stochastic Environments.- Are Variable Environments Stochastic? A Review of Methods to Quantify Environmental Predictability.- Modeling Selection on Conditional Strategies in Stochastic Environments.- Coexistence in Stochastic Environments Through a Life History Trade Off in Drosophila.- The Equilibrium Distribution of Optimal Search and Sampling Effort of Foraging Animals in Patchy Environments.- List of Contributors.

ISBN: 9783540566816
ISBN-10: 3540566813
Series: Lecture Notes in Biomathematics
Audience: Professional
Format: Paperback
Language: English
Number Of Pages: 193
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 27.9 x 21.0  x 1.09
Weight (kg): 0.51