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Trait‐dependent diversification in angiosperms: Patterns, models and data
Fondation pour la recherche sur la biodiversité—CEntre de Synthèse et d'Analyse sur la Biodiversité Montpellier France.ORCID iD: 0000-0003-3761-4981
Department of Biology University of Kentucky Lexington Kentucky USA.
National Herbarium of New South Wales Royal Botanic Gardens and Domain Trust Sydney New South Wales Australia;Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences University of New South Wales Sydney Australia.
Department of Zoology University of British Columbia Vancouver British Columbia Canada.
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2023 (English)In: Ecology Letters, ISSN 1461-023X, E-ISSN 1461-0248, Vol. 26, no 4, p. 640-657Article in journal (Refereed) Published
Abstract [en]

Variation in species richness across the tree of life, accompanied by the incredible variety of ecological and morphological characteristics found in nature, has inspired many studies to link traits with species diversification. Angiosperms are a highly diverse group that has fundamentally shaped life on earth since the Cretaceous, and illustrate how species diversification affects ecosystem functioning. Numerous traits and processes have been linked to differences in species richness within this group, but we know little about their relative importance and how they interact. Here, we synthesised data from 152 studies that used state-dependent speciation and extinction (SSE) models on angiosperm clades. Intrinsic traits related to reproduction and morphology were often linked to diversification but a set of universal drivers did not emerge as traits did not have consistent effects across clades. Importantly, SSE model results were correlated to data set properties - trees that were larger, older or less well-sampled tended to yield trait-dependent outcomes. We compared these properties to recommendations for SSE model use and provide a set of best practices to follow when designing studies and reporting results. Finally, we argue that SSE model inferences should be considered in a larger context incorporating species' ecology, demography and genetics.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 26, no 4, p. 640-657
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Ecology Evolutionary Biology
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URN: urn:nbn:se:uu:diva-499137DOI: 10.1111/ele.14170ISI: 000939689500001PubMedID: 36829296OAI: oai:DiVA.org:uu-499137DiVA, id: diva2:1745639
Available from: 2023-03-23 Created: 2023-03-23 Last updated: 2023-05-26Bibliographically approved

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Vallejo‐Marín, MarioBurgarella, ConcettaGlemin, Sylvain

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Helmstetter, Andrew J.Vallejo‐Marín, MarioBurgarella, ConcettaAnderson, BruceGlemin, Sylvain
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Plant Ecology and EvolutionDepartment of Organismal Biology
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