Individual-based Modeling and Ecology

Volker Grimm, Steven F. Railsback

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Princeton University Press img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / ÷kologie

Beschreibung

Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.?


Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.

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Schlagwörter

Shoaling and schooling, Computer simulation, Phenotypic plasticity, Explanation, Ecology, Parameter, Population ecology, Probability, Mathematics, Adaptation, Stochastic process, Case study, Competition, Implementation, Variable (mathematics), Ecosystem, Biology, Complex adaptive system, Scientist, Population size, Result, Software, Level of detail, Spatial scale, Parameter (computer programming), Spatial distribution, Emergence, Population model, Differential equation, Evolution, Heuristic, Swarm Development Group, Approximation, Metapopulation, Hypothesis, Addition, Theoretical ecology, 3D modeling, Technology, Diagram, Organism, Quantity, Fecundity, Conceptual framework, Grid cell, Behavioral ecology, Prediction, Parametrization, Dominance hierarchy, Simulation, Predation, Stochastic, Time series, Website, Density dependence, Complexity, Software engineering, State variable, Population dynamics, Sensor, Biomass (ecology), Theory, Behavior, Credibility, Alternative model, Publication, Uncertainty, Decision-making, Initial condition, Trade-off