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So Many Variables: Joint Modeling in Community Ecology.

Published on Dec 1, 2015in Transportation Research Part C-emerging Technologies5.78
· DOI :10.1016/j.tree.2015.09.007
David I. Warton35
Estimated H-index: 35
(UNSW: University of New South Wales),
F. Guillaume Blanchet15
Estimated H-index: 15
(McMaster University)
+ 4 AuthorsFrancis K. C. Hui14
Estimated H-index: 14
(ANU: Australian National University)
Abstract
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.
  • References (88)
  • Citations (208)
References88
Newest
#1Eduard Szöcs (University of Koblenz and Landau)H-Index: 9
#2Ralf B. Schäfer (University of Koblenz and Landau)H-Index: 31
#1Andrew D. Letten (UNSW: University of New South Wales)H-Index: 10
#2David A. Keith (UNSW: University of New South Wales)H-Index: 47
Last.Francis K. C. Hui (UNSW: University of New South Wales)H-Index: 14
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#1Pedro J. Leitão (Humboldt University of Berlin)H-Index: 18
#2Marcel Schwieder (Humboldt University of Berlin)H-Index: 7
Last.Patrick Hostert (Humboldt University of Berlin)H-Index: 46
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#1Ignacio Morales-Castilla (McGill University)H-Index: 12
#2Miguel G. Matias (University of Évora)H-Index: 10
Last.Miguel B. Araújo (University of Évora)H-Index: 78
view all 4 authors...
#1James T. Thorson (NMFS: National Marine Fisheries Service)H-Index: 25
#2Mark D. Scheuerell (NMFS: National Marine Fisheries Service)H-Index: 30
Last.Kasper Kristensen (DTU: Technical University of Denmark)H-Index: 14
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#1David I. Warton (UNSW: University of New South Wales)H-Index: 35
#2Scott D. Foster (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 15
Last.Piers K. Dunstan (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 24
view all 5 authors...
Cited By208
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#2Priyanka Khandelwal (WT: West Texas A&M University)
Last.Souparno Ghosh (TTU: Texas Tech University)H-Index: 8
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#1Chongliang Zhang (Ocean University of China)H-Index: 5
#2Yong Chen (UMaine: University of Maine)H-Index: 27
Last.Yiping Ren (Ocean University of China)H-Index: 6
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#1Christian Damgaard (AU: Aarhus University)H-Index: 36
#2Kathryn M. Irvine (USGS: United States Geological Survey)H-Index: 13
#1Luke O. Frishkoff (U of T: University of Toronto)H-Index: 9
#2D. Luke Mahler (U of T: University of Toronto)H-Index: 16
Last.Marie-Josée Fortin (U of T: University of Toronto)H-Index: 61
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#1Jenni Niku (University of Jyväskylä)H-Index: 1
#2Francis K. C. Hui (ANU: Australian National University)H-Index: 14
Last.David I. Warton (UNSW: University of New South Wales)H-Index: 35
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#1Tad A. Dallas (LSU: Louisiana State University)H-Index: 1
#2Anna-Liisa Laine (UH: University of Helsinki)H-Index: 26
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