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dc.contributor.authorSolbu, Erik Blystad
dc.contributor.authorDiserud, Ola Håvard
dc.contributor.authorKålås, John Atle
dc.contributor.authorEngen, Steinar
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2018-11-15T11:21:07Z
dc.date.available2018-11-15T11:21:07Z
dc.date.created2018-09-27T21:40:18Z
dc.date.issued2018
dc.identifier.citationEcological Modelling. 2018, 388 13-23.nb_NO
dc.identifier.issn0304-3800
dc.identifier.urihttp://hdl.handle.net/11250/2572985
dc.description.abstractWe have in this study analysed bird communities across Norway with a heterogeneous species abundance model, where dynamical parameters can vary among species. Similarity in community composition over time, used as a measure of temporal β-diversity or the turnover rate, was then estimated. When we account for heterogeneity in dynamical parameters among species it will affect how we estimate environmental stochasticity, and, subsequently, how the temporal dynamics is modelled. In addition, spatial variation in species abundance within a sampling area can obscure the temporal dynamics of communities. By inadvertently including small-scale spatial variation within sampling areas in the sample noise term, it will be difficult to correctly detect changes in community structure, or species abundance similarity, in time. Using Norwegian bird communities as a case study, we have shown how to interpret the sample correlation of the bivariate Poisson lognormal distribution, fitted to pairs of transects, and why separation of the transects into spatially similar subgroups can be beneficial. This approach also makes us able to account for sampling error and over-dispersion relative to Poisson sampling. The partitioning of the variance of the species abundance distributions showed that heterogeneity among species in temporal dynamics accounted for roughly 75% of the variation, close to estimates for other taxa. High temporal similarity can be interpreted as a low baseline turnover rate, which is important when studying changes to ecosystems due to e.g. anthropogenic effects. Furthermore, the environmental stochasticity was more realistically estimated in this heterogeneous model. This is essential for predicting the dynamics of species abundances forward in time. β-diversity Environmental stochasticity Heterogeneous species abundance models Over-dispersion Temporal community dynamicsnb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHeterogeneity among species and community dynamics – Norwegian bird communities as a case studynb_NO
dc.title.alternativeHeterogeneity among species and community dynamics – Norwegian bird communities as a case studynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holder© 2018 Elsevier B.V.nb_NO
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480nb_NO
dc.subject.nsiVDP::Zoology and botany: 480nb_NO
dc.source.pagenumber13-23nb_NO
dc.source.volume388nb_NO
dc.source.journalEcological Modellingnb_NO
dc.identifier.doi10.1016/j.ecolmodel.2018.09.008
dc.identifier.cristin1615325
dc.relation.projectAndre: Norwegian Environment Agencynb_NO
dc.relation.projectAndre: Norwegian Climate and Environment Ministrynb_NO
cristin.unitcode7511,3,0,0
cristin.unitcode7511,2,0,0
cristin.unitnameAvdeling for akvatisk økologi
cristin.unitnameAvdeling for terrestrisk økologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal