dc.contributor.author | Cornell, Stephen J | |
dc.contributor.author | Suprunenko, Yevhen F | |
dc.contributor.author | Finkelshtein, Dmitri | |
dc.contributor.author | Somervuo, Panu | |
dc.contributor.author | Ovaskainen, Otso | |
dc.date.accessioned | 2020-02-27T11:57:40Z | |
dc.date.available | 2020-02-27T11:57:40Z | |
dc.date.created | 2019-12-19T14:47:55Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Nature Communications. 2019, 10 (1), 1-14. | nb_NO |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | http://hdl.handle.net/11250/2644159 | |
dc.description.abstract | Individual-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 scientificfields | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Nature Research | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A unified framework for analysis of individual-based models in ecology and beyond | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 1-14 | nb_NO |
dc.source.volume | 10 | nb_NO |
dc.source.journal | Nature Communications | nb_NO |
dc.source.issue | 1 | nb_NO |
dc.identifier.doi | 10.1038/s41467-019-12172-y | |
dc.identifier.cristin | 1763061 | |
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.unitcode | 194,66,10,0 | |
cristin.unitname | Institutt for biologi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |