Individual-based Modeling and Ecology
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3D modeling
A01=Steven F. Railsback
A01=Volker Grimm
Adaptation
Addition
Alternative model
Approximation
Author_Steven F. Railsback
Author_Volker Grimm
Behavior
Behavioral ecology
Biology
Biomass (ecology)
Case study
Category=RG
Competition
Complex adaptive system
Complexity
Computer simulation
Conceptual framework
Credibility
Decision-making
Density dependence
Diagram
Differential equation
Dominance hierarchy
Ecology
Ecosystem
Emergence
eq_isMigrated=1
eq_nobargain
Evolution
Explanation
Fecundity
Grid cell
Heuristic
Hypothesis
Implementation
Initial condition
Level of detail
Mathematics
Metapopulation
Organism
Parameter
Parameter (computer programming)
Parametrization
Phenotypic plasticity
Population dynamics
Population ecology
Population model
Population size
Predation
Prediction
Probability
Publication
Quantity
Result
Scientist
Sensor
Shoaling and schooling
Simulation
Software
Software engineering
Spatial distribution
Spatial scale
State variable
Stochastic
Stochastic process
Swarm Development Group
Technology
Theoretical ecology
Theory
Time series
Trade-off
Uncertainty
Variable (mathematics)
Website
Product details
- ISBN 9780691096667
- Weight: 595g
- Dimensions: 152 x 235mm
- Publication Date: 25 Jul 2005
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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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.
Volker Grimm is a Senior Researcher at the UFZ Centre for Environmental Research Leipzig-Halle and Lecturer at the University of Potsdam. Steven F. Railsback is a consulting scientist and Adjunct Professor of Mathematics at Humboldt State University.
