A phylogenetic comparative method for studying multivariate adaptation
Artikel i vetenskaplig tidskrift, 2012

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).

Ornstein–Uhlenbeck process


Multivariate phylogenetic comparative method




Krzysztof Bartoszek

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematisk statistik

Jason Pienaar

Universiteit van Pretoria

Petter Mostad

Chalmers, Matematiska vetenskaper, Matematisk statistik

Göteborgs universitet

Staffan Andersson

Göteborgs universitet

T. F. Hansen

Universitetet i Oslo

Journal of Theoretical Biology

0022-5193 (ISSN) 1095-8541 (eISSN)

Vol. 314 204-215



Sannolikhetsteori och statistik



Mer information

Senast uppdaterat