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dc.contributor.authorCornell, Stephen J
dc.contributor.authorSuprunenko, Yevhen F
dc.contributor.authorFinkelshtein, Dmitri
dc.contributor.authorSomervuo, Panu
dc.contributor.authorOvaskainen, Otso
dc.date.accessioned2020-02-27T11:57:40Z
dc.date.available2020-02-27T11:57:40Z
dc.date.created2019-12-19T14:47:55Z
dc.date.issued2019
dc.identifier.citationNature Communications. 2019, 10 (1), 1-14.nb_NO
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/11250/2644159
dc.description.abstractIndividual-based models,‘IBMs’, describe naturally the dynamics of interacting organisms orsocial orfinancial agents. They are considered too complex for mathematical analysis, butcomputer simulations of them cannot give the general insights required. Here, we resolve thisproblem with a general mathematical framework for IBMs containing interactions of anunlimited level of complexity, and derive equations that reliably approximate the effects ofspace and stochasticity. We provide software, specified in an accessible and intuitive gra-phical way, so any researcher can obtain analytical and simulation results for any particularIBM without algebraic manipulation. We illustrate the framework with examples frommovement ecology, conservation biology, and evolutionary ecology. This framework willprovide unprecedented insights into a hitherto intractable panoply of complex models acrossmany scientificfieldsnb_NO
dc.language.isoengnb_NO
dc.publisherNature Researchnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA unified framework for analysis of individual-based models in ecology and beyondnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-14nb_NO
dc.source.volume10nb_NO
dc.source.journalNature Communicationsnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1038/s41467-019-12172-y
dc.identifier.cristin1763061
dc.description.localcode© The Author(s) 2019 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing,adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the CreativeCommons license, and indicate if changes were made. The images or other third partymaterial in this article are included in the article’s Creative Commons license, unlessindicated otherwise in a credit line to the material. If material is not included in thearticle’s Creative Commons license and your intended use is not permitted by statutoryregulation or exceeds the permitted use, you will need to obtain permission directly fromthe copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.nb_NO
cristin.unitcode194,66,10,0
cristin.unitnameInstitutt for biologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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