How to make more out of community data? A conceptual framework and its implementation as models and software

• Published in: Ecology letters Vol. 20; no. 5; pp. 561 - 576
• Main Authors: Ovaskainen, Otso, Tikhonov, Gleb, Norberg, Anna, Guillaume Blanchet, F., Duan, Leo, Dunson, David, Roslin, Tomas, Abrego, Nerea, Chave, Jerome
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.05.2017
• Subjects: Assembly; Assembly process; Bayes Theorem; Bayesian analysis; Biodiversity; biogeography; biotic filtering; Communities; community distribution; Community ecology; community modelling; community similarity; computer software; data collection; Data processing; Ecological monitoring; Ecology; Ecosystem; Ekologi; environmental filtering; Filtration; functional trait; Integration; joint species distribution model; Mathematical models; metacommunity; Models, Theoretical; phylogenetic signal; Phylogeny; Software; Spatial distribution; Species; statistical analysis; time series analysis; functional trait; biotic filtering; joint species distribution model; Assembly process; community modelling; community similarity; environmental filtering; metacommunity; community distribution; phylogenetic signal

Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate the integration between conceptual and statistical approaches in community ecology, we propose Hierarchical Modelling of Species Communities...