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Modeling Populations of Adaptive Individuals

Bret C. Harvey, Steven F. Railsback

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Princeton University Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / ÷kologie

Beschreibung

Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible.

Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good—not optimal—decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.

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Schlagwörter

Daphnia, Model selection, Salmonidae, Smithsonian Conservation Biology Institute, Bayes' theorem, Watershed management, Theory, Availability, Credibility, Foraging, Behavior model, Fecundity, Digestion, Test theory, Quantity, Field experiment, Optimal foraging theory, Emergence, Trophic level, Energy, Evolutionary ecology, Uncertainty, Logistic function, Conceptual framework, Physiology, Metabolism, Dynamic programming, Biodiversity, Mathematical optimization, Fitness (biology), Turbidity, Cutthroat trout, Infestation, Reproductive success, Habitat destruction, Spawn (biology), Time series, Adaptive management, Approximation, Calibration, Rainbow trout, Herbivore, Requirement, Parameter, Population dynamics, Ecology, Organism, 3D modeling, Implementation, Technology, Experience good, Climate change, Desiccation, Statistical hypothesis testing, Addition, Biomass (ecology), Evaluation of Alternatives, Need theory, Probability, State variable, Hypothesis, Decision model, Computation, Estimation, Alternative model, Cost–benefit analysis, Conceptual model, Field research, Biologist, Water column, Trade-off, Model organism, Uncertainty analysis, Genetic algorithm, Behavioral ecology, Theoretical ecology, Population model, Coastal cutthroat trout, Iteration, Calculation, Decision theory, Food chain, Stephen P. Hubbell, Decision-making, Inductive reasoning, Measurement, Sensitivity analysis, Prediction, Fish, Spatial ecology, Population ecology, Juvenile fish, Limpet, Competition, Fishery, Plant strategies, Behavior, Ecosystem, Fish migration, Predation