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dc.contributor.authorLaughlin, Daniel C.
dc.contributor.authorLaughlin, David E.
dc.identifier.citationLaughlin, D. C., & Laughlin, D. E. (2013). Advances in modeling trait-based plant community assembly. Trends in Plant Science, 18(10), 584-593.en_NZ
dc.description.abstractIn this review, we examine two new trait-based models of community assembly that predict the relative abundance of species from a regional species pool. The models use fundamentally different mathematical approaches and the predictions can differ considerably. Maxent obtains the most even probability distribution subject to community-weighted mean trait constraints. Traitspace predicts low probabilities for any species whose trait distribution does not pass through the environmental filter. Neither model maximizes functional diversity because of the emphasis on environmental filtering over limiting similarity. Traitspace can test for the effects of limiting similarity by explicitly incorporating intraspecific trait variation. The range of solutions in both models could be used to define the range of natural variability of community composition in restoration projects.en_NZ
dc.relation.ispartofTrends in Plant Science
dc.subjectenvironmental filteringen_NZ
dc.subjectintraspecific trait variationen_NZ
dc.subjecthierarchical Bayesian modelen_NZ
dc.subjectlimiting similarityen_NZ
dc.subjectmaximum entropyen_NZ
dc.subjectnatural range of variabilityen_NZ
dc.subjectniche differentiationen_NZ
dc.subjectspecies distribution modelingen_NZ
dc.subjecttrait convergenceen_NZ
dc.subjecttrait divergenceen_NZ
dc.titleAdvances in modeling trait-based plant community assemblyen_NZ
dc.typeJournal Articleen_NZ
dc.relation.isPartOfTrends in Plant Scienceen_NZ

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