Making predictions in a changing world: The benefits of individual-based ecology
Authors: Stillman, R.A., Railsback, S.F., Giske, J., Berger, U. and Grimm, V.
Journal: BioScience
Volume: 65
Issue: 2
Pages: 140-150
eISSN: 1525-3244
ISSN: 0006-3568
DOI: 10.1093/biosci/biu192
Abstract:Ecologists 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.
https://eprints.bournemouth.ac.uk/21809/
Source: Scopus
Preferred by: Richard Stillman
Making Predictions in a Changing World: The Benefits of Individual-Based Ecology.
Authors: Stillman, R.A., Railsback, S.F., Giske, J., Berger, U. and Grimm, V.
Journal: Bioscience
Volume: 65
Issue: 2
Pages: 140-150
ISSN: 0006-3568
DOI: 10.1093/biosci/biu192
Abstract:Ecologists 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.
https://eprints.bournemouth.ac.uk/21809/
Source: PubMed
Making Predictions in a Changing World: The Benefits of Individual-Based Ecology
Authors: Stillman, R.A., Railsback, S.F., Giske, J., Berger, U. and Grimm, V.
Journal: BIOSCIENCE
Volume: 65
Issue: 2
Pages: 140-150
eISSN: 1525-3244
ISSN: 0006-3568
DOI: 10.1093/biosci/biu192
https://eprints.bournemouth.ac.uk/21809/
Source: Web of Science (Lite)
Making Predictions in a Changing World: The Benefits of Individual-Based Ecology.
Authors: Stillman, R.A., Railsback, S.F., Giske, J., Berger, U. and Grimm, V.
Journal: Bioscience
Volume: 65
Issue: 2
Pages: 140-150
eISSN: 1525-3244
ISSN: 0006-3568
DOI: 10.1093/biosci/biu192
Abstract:Ecologists 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.
https://eprints.bournemouth.ac.uk/21809/
Source: Europe PubMed Central
Making predictions in a changing world: The benefits of individual-based ecology
Authors: Stillman, R.A., Railsback, S.F., Giske, J., Berger, U. and Grimm, V.
Journal: BioScience
Volume: 65
Issue: 2
Pages: 140-150
ISSN: 0006-3568
Abstract:Ecologists 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.
https://eprints.bournemouth.ac.uk/21809/
Source: BURO EPrints