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A phylogenetic comp...
A phylogenetic comparative method for studying multivariate adaptation
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- Bartoszek, Krzysztof, 1984 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology,Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden
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- Pienaar, Jason (author)
- Universiteit van Pretoria,University of Pretoria,Department of Genetics, University of Pretoria, Pretoria 0002, South Africa
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- Mostad, Petter, 1964 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper, matematisk statistik,Department of Mathematical Sciences, Mathematical Statistics,Chalmers tekniska högskola,Chalmers University of Technology,University of Gothenburg,Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden
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- Andersson, Staffan, 1959 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences,University of Gothenburg,Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
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- Hansen, Thomas F. (author)
- Universitetet i Oslo,University of Oslo,CEES, Department of Biology, University of Oslo, Oslo, Norway
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(creator_code:org_t)
- Elsevier BV, 2012
- 2012
- English.
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In: Journal of Theoretical Biology. - : Elsevier BV. - 0022-5193 .- 1095-8541. ; 314, s. 204-215
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Abstract
Subject headings
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- Phylogenetic comparative methods have been limited in the way they model adaptation. Although some progress has been made, there are still no methods that can fully account for coadaptation between traits. Based on Ornstein–Uhlenbeck (OU) models of adaptive evolution, we present a method, with R implementation, in which multiple traits evolve both in response to each other and, as in previous OU models, to fixed or randomly evolving predictor variables. We present the interpretation of the model parameters in terms of evolutionary and optimal regressions enabling the study of allometric and adaptive relationships between traits. To illustrate the method we reanalyze a data set of antler and body-size evolution in deer (Cervidae).
Subject headings
- NATURVETENSKAP -- Biologi -- Evolutionsbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Evolutionary Biology (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- Ornstein–Uhlenbeck process
- Multivariate phylogenetic comparative method
- Adaptation
- Optimality
- Allometry
- Ornstein–Uhlenbeck process
Publication and Content Type
- ref (subject category)
- art (subject category)
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