Journal ArticleDOI
Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future?
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In this paper, a mini-review of 50 individual-based animal population models shows that the majority of them are driven by pragmatic motivation, which does not explicitly refer to theoretical ecology.About:
This article is published in Ecological Modelling.The article was published on 1999-02-15. It has received 978 citations till now. The article focuses on the topics: Population & Ecology (disciplines).read more
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A standard protocol for describing individual-based and agent-based models
Volker Grimm,Uta Berger,Finn Bastiansen,Sigrunn Eliassen,Vincent Ginot,Jarl Giske,John D. Goss-Custard,Tamara C. Grand,Simone K. Heinz,Geir Huse,Andreas Huth,Jane Uhd Jepsen,Christian Jorgensen,Wolf M. Mooij,Birgit Müller,Guy Pe'er,Cyril Piou,Steven F. Railsback,Andrew M. Robbins,Martha M. Robbins,Eva Rossmanith,Nadja Rüger,Espen Strand,Sami Souissi,Richard A. Stillman,Rune Vabø,Ute Visser,Donald L. DeAngelis +27 more
TL;DR: A proposed standard protocol for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology, and considered as a first step for establishing a more detailed common format of the description of IBm and ABM.
Journal ArticleDOI
The ODD protocol: A review and first update
TL;DR: The definition of ODD is revised to clarify aspects of the original version and thereby facilitate future standardization of ABM descriptions and improves the rigorous formulation of models and helps make the theoretical foundations of large models more visible.
Book
Individual-based modeling and ecology
Volker Grimm,Steven F. Railsback +1 more
TL;DR: An excellent introduction and overview of this field, written by Volker Grimm and Steven F. Railsback, should be read by everyone interested in individual-based modeling and especially by anyone contemplating developing, or being involved with a group developing, an individualbased model.
Journal ArticleDOI
Multi-agent simulations and ecosystem management: a review
TL;DR: It is argued that researchers in the field of ecosystem management can use multi-agent systems to go beyond the role of the individual and to study more deeply and more effectively the different forms of organization (spatial, networks, hierarchies) and interactions among different organizational levels.
Journal ArticleDOI
Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model
TL;DR: In this paper, the authors introduce a modeling approach that integrates demand-driven changes in land area with locally determined conversion processes to simulate the evolution of natural vegetation on abandoned farmland in Europe.
References
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Journal ArticleDOI
New Computer Models Unify Ecological TheoryComputer simulations show that many ecological patterns can be explained by interactions among individual organisms
TL;DR: First, models often combine many individual organisms and assume that they can be described by a single variable, such as population size, which violates the biological principle that each individual is different, with behavior and physiology that result from a unique combination of genetic and environmental influences.
Journal ArticleDOI
Babel, or the ecological stability discussions: an inventory and analysis of terminology and a guide for avoiding confusion.
Volker Grimm,Christian Wissel +1 more
TL;DR: A strategy is derived that can help to dispel the existing ”confusion of tongues” on the subject of ”stability” and prevent its future recurrence, and consists of three questions that should be kept in mind when communicating about stability properties.
Babel, or the ecological stability discussions: an inventory and analysis
Volker Grimm,Christian Wissel +1 more
TL;DR: In this article, the authors present an inventory and analysis of dis-cussions of ecological stability, considering 163 defini- tions of 70 different stability concepts, and propose a strategy that can help to dispel the existing "confu- sion of tongues" on the subject of "stability" and prevent its future recurrence.
BookDOI
Individual-Based Models and Approaches in Ecology
Journal ArticleDOI
Using Moment Equations to Understand Stochastically Driven Spatial Pattern Formation in Ecological Systems
TL;DR: This work presents a new approach to modeling spatial interactions by deriving approximations for the time evolution of the moments of ensembles of distributions of organisms, and finds that the mean-covariance model provides a useful and analytically tractable approximation to the stochastic spatial model.
Related Papers (5)
New Computer Models Unify Ecological TheoryComputer simulations show that many ecological patterns can be explained by interactions among individual organisms
A standard protocol for describing individual-based and agent-based models
Volker Grimm,Uta Berger,Finn Bastiansen,Sigrunn Eliassen,Vincent Ginot,Jarl Giske,John D. Goss-Custard,Tamara C. Grand,Simone K. Heinz,Geir Huse,Andreas Huth,Jane Uhd Jepsen,Christian Jorgensen,Wolf M. Mooij,Birgit Müller,Guy Pe'er,Cyril Piou,Steven F. Railsback,Andrew M. Robbins,Martha M. Robbins,Eva Rossmanith,Nadja Rüger,Espen Strand,Sami Souissi,Richard A. Stillman,Rune Vabø,Ute Visser,Donald L. DeAngelis +27 more