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dc.contributor.authorCropp, Roger
dc.contributor.authorNorbury, John
dc.date.accessioned2019-06-19T13:04:47Z
dc.date.available2019-06-19T13:04:47Z
dc.date.issued2019
dc.identifier.issn1874-1738
dc.identifier.doi10.1007/s12080-019-0407-6
dc.identifier.urihttp://hdl.handle.net/10072/384921
dc.description.abstractWe consider eco-evolutionary processes that include natural bounds on adaptive trait distributions. We implement ecological axioms, that a population grows if it is replete with resources, and doesn’t grow if it has none. These axioms produce natural bounds on the trait means that suggest that the assumption of gamma-distributed traits, where the trait variance is a function of the trait mean, is more appropriate than the usual assumption of normally distributed traits, where the trait variance is independent of the trait mean. We use a Lotka-Volterra model to simulate two plant populations, whose trait means evolve according to an evolutionary model, to simulate populations adapting during invasions. The results of our model simulations using gamma-distributed traits suggest that adapting populations may endure bottlenecks by increasing their fitness and recovering from near extinction to stably coexist. The inclusion of eco-evolutionary processes into ecosystem models generates K∗ theory which predicts the long-term states of populations that make it through evolutionary bottlenecks. Otherwise, the final states of populations that do not make it through bottlenecks may be predicted by the non-evolutionary R∗ theory.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto6
dc.relation.ispartofjournalTheoretical Ecology
dc.subject.fieldofresearchEcology
dc.subject.fieldofresearchcode0602
dc.titleAn eco-evolutionary system with naturally bounded traits
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.rights.copyright© 2019 Springer Netherlands. This is an electronic version of an article published in Theoretical Ecology. Theoretical Ecology is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorCropp, Roger A.


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