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Individual-based Modeling and Ecology : Princeton Series in Theoretical and Computational Biology - Volker Grimm

Individual-based Modeling and Ecology

Princeton Series in Theoretical and Computational Biology

Paperback Published: 25th July 2005
ISBN: 9780691096667
Number Of Pages: 448

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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.

"The authors establish an effective and coherent framework for using individual-based modelling."--Nikita Y. Ratanov, Mathematical Reviews "An excellent book, which aims to invigorate individual-based modeling ... by providing a clear theoretical framework for the subject--which they term individual-based ecology (IBE)--and a step-by-step guide to creating individual-based models (IBMs) within this framework... I think this is a very timely book, and I recommend it to anyone new or old to the subject."--Richard Stillman, Quarterly Review of Biology "The book very successfully link[s] various 'universes' ranging from fundamental concepts in ecology and complex systems research to hands-on technical and recipe-like suggestions on how to build a model, illustrated with numerous, well-chosen examples."--Janine Bolliger, Landscape Ecology "For anyone who wants to know more about and possibly incorporate IBMs in his own research, this book provides plenty of advice and guidance on how to formulate, analyze, and use such models. If IBMs do ultimately reach the potential envisioned by the authors, their seminal book will have done much to contribute to that success."--Jim M. Cushing, Zentralblatt MATH "This book establishes an effective and coherent conceptual and technical framework for individual-based modeling with the objective to develop and illustrate an approach for addressing how individual behaviors and system dynamics emerge from lower-level traits."--Janine Bolliger, Landscape Ecology "Given the solid conceptual foundation of the book and the wide range of IBM applications in fish ecology, I think that many fish biologists will find this book very useful and I recommend it warmly."--Geir Huse, Fish and Fisheries

Prefacep. xi
Acknowledgmentsp. xv
Modelingp. 1
Introductionp. 3
Why Individual-based Modeling and Ecology?p. 3
Linking Individual Traits and System Complexity: Three Examplesp. 5
Individual-based Ecologyp. 9
Early IBMs and Their Research Programsp. 11
What Makes a Model an IBM?p. 13
Status and Challenges of the Individual-based Approachp. 15
Conclusions and Outlookp. 19
A Primer to Modelingp. 22
Introductionp. 22
Heuristics for Modelingp. 24
The Modeling Cyclep. 27
Summary and Discussionp. 36
Pattern-oriented Modelingp. 38
Introductionp. 38
Why Patterns, and What Are Patterns?p. 40
The Tasks of Pattern-oriented Modelingp. 41
Discussionp. 48
Individual-based Ecologyp. 51
Theory in Individual-based Ecologyp. 53
Introductionp. 53
Basis for Theory in IBEp. 55
Goals of IBE Theoryp. 56
Theory Structurep. 58
Theory Development Cyclep. 60
Example: Development of Habitat Selection Theory for Troutp. 63
Summary and Discussionp. 68
A Conceptual Framework for Designing Individual-based Modelsp. 71
Introductionp. 71
Emergencep. 73
Adaptive Traits and Behaviorp. 79
Fitnessp. 84
Predictionp. 91
Interactionp. 95
Sensingp. 98
Stochasticityp. 101
Collectivesp. 105
Schedulingp. 109
Observationp. 116
Summary and Conclusionsp. 117
Conceptual Design Checklistp. 119
Examplesp. 122
Introductionp. 122
Group and Social Behaviorp. 125
Population Dynamics of Social Animalsp. 145
Movement: Dispersal and Habitat Selectionp. 163
Regulation of Hypothetical Populationsp. 178
Comparison with Classical Modelsp. 187
Dynamics of Plant Populations and Communitiesp. 199
Structure of Communities and Ecosystemsp. 218
Artificially Evolved Traitsp. 234
Summary and Conclusionsp. 242
The Engine Roomp. 245
Formulating Individual-based Modelsp. 247
Introductionp. 247
Contents of an IBM Formulationp. 248
Formulating an IBM's Spatial Elementsp. 249
Formulating Logical and Probabilistic Rulesp. 253
Formulating Adaptive Traitsp. 255
Controlling Uncertaintyp. 260
Using Object-oriented Design and Descriptionp. 262
Using Mechanistic and Discrete Mathematicsp. 264
Designing Superindividualsp. 266
Summary and Conclusionsp. 269
Software for Individual-based Modelsp. 270
Introductionp. 270
The Importance of Software Design for IBMsp. 273
Software Terminology and Conceptsp. 274
Software Platformsp. 279
Software Testingp. 288
Moving Software Development Forwardp. 294
Important Implementation Techniquesp. 301
Some Favorite Software Mythsp. 306
Summary and Conclusionsp. 308
Analyzing Individual-based Modelsp. 312
Introductionp. 312
Steps in Analyzing an IBMp. 313
General Strategies for Analyzing IBMsp. 315
Techniques for Analyzing IBMsp. 319
Statistical Analysisp. 327
Sensitivity and Uncertainty Analysisp. 335
Robustness Analysisp. 336
Parameterizationp. 341
Independent Predictionsp. 345
Summary and Conclusionsp. 346
Communicating Individual-based Models and Researchp. 349
Introductionp. 349
Types of IBE Work to Communicatep. 350
Complete and Efficient Model Descriptionp. 351
Common Review Commentsp. 354
Visual Communication of Executable Modelsp. 356
Communicating Softwarep. 358
Summary and Conclusionsp. 359
Conclusions and Outlookp. 363
Using Analytical Models in Individual-based Ecologyp. 365
Introductionp. 365
Classifications of Ecological Modelsp. 366
Benefits of Analytical Modelsp. 368
Analytical Approximation of IBMsp. 369
Using Analytical Models to Understand and Analyze IBMsp. 372
Summary and Discussionp. 379
Conclusions and Outlook for Individual-based Ecologyp. 380
Introductionp. 380
Why Do We Need IBE?p. 381
How Is IBE Different From Traditional Ecology?p. 382
What Can Ecology Contribute to the Science of Complex Systems?p. 387
A Visit to the Individual-based Ecology Laboratoryp. 388
Glossaryp. 391
Referencesp. 395
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780691096667
ISBN-10: 069109666X
Series: Princeton Series in Theoretical and Computational Biology
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 448
Published: 25th July 2005
Publisher: Princeton University Press
Country of Publication: US
Dimensions (cm): 23.42 x 15.6  x 3.0
Weight (kg): 0.6