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dc.contributor.authorStillman, Richard A.
dc.contributor.authorRailsback, Steven F.
dc.contributor.authorGiske, Jarl
dc.contributor.authorBerger, Uta
dc.contributor.authorGrimm, Volker
dc.PublishedBioScience 2015, 65(2):140-150eng
dc.description.abstractEcologists urgently need a better ability to predict how environmental change affects biodiversity. We examine individual-based ecology (IBE), a research paradigm that promises better a predictive ability by using individual-based models (IBMs) to represent ecological dynamics as arising from how individuals interact with their environment and with each other. A key advantage of IBMs is that the basis for predictions—fitness maximization by individual organisms—is more general and reliable than the empirical relationships that other models depend on. Case studies illustrate the usefulness and predictive success of long-term IBE programs. The pioneering programs had three phases: conceptualization, implementation, and diversification. Continued validation of models runs throughout these phases. The breakthroughs that make IBE more productive include standards for describing and validating IBMs, improved and standardized theory for individual traits and behavior, software tools, and generalized instead of system-specific IBMs. We provide guidelines for pursuing IBE and a vision for future IBE research.en_US
dc.publisherOxford University Press on behalf of the American Institute of Biological Sciencesen_US
dc.rightsAttribution CC BY-NC 4.0eng
dc.titleMaking predictions in a changing world: The benefits of individual-based ecologyen_US
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderThe Author(s) 2014en_US
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Zoology and botany: 480::Ecology: 488
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US

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Attribution CC BY-NC 4.0
Except where otherwise noted, this item's license is described as Attribution CC BY-NC 4.0