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dc.contributor.authorHenriques Antão, Laura
dc.contributor.authorConnolly, Sean R.
dc.contributor.authorMagurran, Anne E.
dc.contributor.authorSoares, Amadeu
dc.contributor.authorDornelas, Maria
dc.identifier.citationHenriques Antão , L , Connolly , S R , Magurran , A E , Soares , A & Dornelas , M 2017 , ' Prevalence of multimodal species abundance distributions is linked to spatial and taxonomic breadth ' , Global Ecology and Biogeography , vol. 26 , no. 2 , pp. 203-215 .
dc.identifier.otherPURE: 247458142
dc.identifier.otherPURE UUID: 007907be-b1c4-4be7-bb4c-770bd223a423
dc.identifier.otherBibtex: urn:34ea5de858ccf4b18006d1cc7692e5da
dc.identifier.otherScopus: 84996656659
dc.identifier.otherORCID: /0000-0002-0036-2795/work/43550258
dc.identifier.otherORCID: /0000-0001-6612-9366/work/30024671
dc.identifier.otherWOS: 000393693300007
dc.descriptionWe thank the University of St Andrews MHD Cluster and the Bioinformatics Unit (Wellcome Trust ISSF grant 105621/Z/14/Z). L.H.A. was supported by Fundação para a Ciência e Tecnologia, Portugal (POPH/FSE SFRH/BD/90469/2012). A.E.M. acknowledges the ERC (BioTIME 250189). M.D. acknowledges funding from the Marine Alliance for Science and Technology Scotland (MASTS), funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.en
dc.description.abstractAim. Species abundance distributions (SADs) are a synthetic measure of biodiversity and community structure. Although typically described by unimodal logseries or lognormal distributions, empirical SADs can also exhibit multiple modes. However, we do not know how prevalent multimodality is, nor do we have an understanding of the factors leading to this pattern. Here we quantify the prevalence of multimodality in SADs across a wide range of taxa, habitats and spatial extents. Location. Global. Methods. We used the second-order Akaike information criterion for small sample sizes (AICc) and likelihood ratio tests (LRTs) to test whether models with more than one mode accurately describe the empirical abundance frequency distributions of the underlying communities. We analysed 117 empirical datasets from intensely sampled communities, including taxa ranging from birds, plants, fish and invertebrates, from terrestrial, marine and freshwater habitats. Results. We find evidence for multimodality in 14.5% of the SADs when using AICc and LRT. This is a conservative estimate, as AICc alone estimates a prevalence of multimodality of 22%. We additionally show that the pattern is more common in data encompassing broader spatial scales and greater taxonomic breadth, suggesting that multimodality increases with ecological heterogeneity. Main conclusions. We suggest that higher levels of ecological heterogeneity, underpinned by larger spatial extent and higher taxonomic breadth, can yield multimodal SADs. Our analysis shows that multimodality occurs with a prevalence that warrants its systematic consideration when assessing SAD shape and emphasizes the need for macroecological theories to include multimodality in the range of SADs they predict.
dc.relation.ispartofGlobal Ecology and Biogeographyen
dc.rights© 2016, John Wiley & Sons Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at /
dc.subjectCommunity structureen
dc.subjectDiversity patternsen
dc.subjectPoisson lognormal mixtureen
dc.subjectSpatial scaleen
dc.subjectTaxonomic breadthen
dc.subjectQH301 Biologyen
dc.titlePrevalence of multimodal species abundance distributions is linked to spatial and taxonomic breadthen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews.Fish Behaviour and Biodiversity Research Groupen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.description.statusPeer revieweden

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