Journal
TRENDS IN ECOLOGY & EVOLUTION
Volume 30, Issue 12, Pages 766-779Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tree.2015.09.007
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Funding
- Australian Research Council Future Fellowship [FT120100501]
- Australian Academy of Science travel grant
- LOEWE (Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz) initiative of the Hessian Ministry for Science and the Arts
- Academy of Finland [250444, 251965]
- Australian Research Council discovery project [DP140101259]
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Technological advances have enabled a new class of multivariate models for ecology, with the potential now to specify a statistical model for abundances jointly across many taxa, to simultaneously explore interactions across taxa and the response of abundance to environmental variables. Joint models can be used for several purposes of interest to ecologists, including estimating patterns of residual correlation across taxa, ordination, multivariate inference about environmental effects and environment-by-trait interactions, accounting for missing predictors, and improving predictions in situations where one can leverage knowledge of some species to predict others. We demonstrate this by example and discuss recent computation tools and future directions.
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