Literature DB >> 21237913

Individual-based modelling in ecology: what makes the difference?

J Uchmański1, V Grimm.   

Abstract

Is individual-based modelling really a new approach in ecology? A large part of the uncertainty surrounding this question is a consequence of imprecisely delimited boundaries between classical and individual-based modelling. Genuine 'individual-based' models describe a population made up of individuals that may differ from one another; they also describe changes in numbers of individuals rather than in the population density, and take resource dynamics explicitly into account. Individual-based models that fulfil these criteria will not characterize ecological systems as 'stable' systems in their ideal form, with equilibrium states represented by points in the phase space.

Year:  1996        PMID: 21237913     DOI: 10.1016/0169-5347(96)20091-6

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  6 in total

1.  How new concepts become universal scientific approaches: insights from citation network analysis of agent-based complex systems science.

Authors:  Christian E Vincenot
Journal:  Proc Biol Sci       Date:  2018-03-14       Impact factor: 5.349

2.  A generic individual-based model to simulate morphogenesis, C-N acquisition and population dynamics in contrasting forage legumes.

Authors:  Gaëtan Louarn; Lucas Faverjon
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

3.  Spatial models of giant pandas under current and future conditions reveal extinction risks.

Authors:  Lingqiao Kong; Weihua Xu; Yi Xiao; Stuart L Pimm; Hao Shi; Zhiyun Ouyang
Journal:  Nat Ecol Evol       Date:  2021-07-26       Impact factor: 15.460

4.  Modeling Behavior by Coastal River Otter (Lontra Canadensis) in Response to Prey Availability in Prince William Sound, Alaska: A Spatially-Explicit Individual-Based Approach.

Authors:  Shannon E Albeke; Nathan P Nibbelink; Merav Ben-David
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

5.  Ideal free distribution of Daphnia under predation risk-model predictions and experimental verification.

Authors:  Piotr Maszczyk; Ewa Babkiewicz; Marta Czarnocka-Cieciura; Z Maciej Gliwicz; Janusz Uchmański; Paulina Urban
Journal:  J Plankton Res       Date:  2018-07-03       Impact factor: 2.455

6.  Interaction rates, vital rates, background fitness and replicator dynamics: how to embed evolutionary game structure into realistic population dynamics.

Authors:  K Argasinski; M Broom
Journal:  Theory Biosci       Date:  2017-11-20       Impact factor: 1.919

  6 in total

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