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Reconstructing ancestral ranges in historical biogeography:properties and prospects

Reconstructing ancestral ranges in historical biogeography:properties and prospects

作     者:Kristin S.LAMM Benjamin D.REDELINGS 

作者机构:Bioinformatics Research CenterNorth Carolina State University 

出 版 物:《Journal of Systematics and Evolution》 (植物分类学报(英文版))

年 卷 期:2009年第47卷第5期

页      面:369-382页

核心收录:

学科分类:0710[理学-生物学] 07[理学] 09[农学] 

基  金:support from the National Institute of Environmental Health Sciences (USA) training grant to the NCSU Bioinformatics Research Center supported by National Institutes of Health (USA) grant no.GM070806 

主  题:allopatry ancestral range ancestral state reconstruction biogeography dispersal historical biogeogra-phy review speciation statistics vicariance. 

摘      要:Recent years have witnessed a proliferation of quantitative methods for biogeographic *** particular,novel parametric approaches represent exciting new opportunities for the study of range ***,we review a selection of current methods for biogeographic analysis and discuss their respective *** methods include generalized parsimony approaches,weighted ancestral area analysis,dispersal-vicariance analysis,the dispersal-extinction-cladogenesis model and other maximum likelihood approaches,and Bayesian stochastic mapping of ancestral ranges,including a novel approach to inferring range evolution in the context of island *** of these methods were developed specifically for problems of ancestral range reconstruction,whereas others were designed for more general problems of character state reconstruction and subsequently applied to the study of ancestral *** for reconstructing ancestral history on a phylogenetic tree differ not only in the types of ancestral range states that are allowed,but also in the various historical events that may change the ancestral *** explore how the form of allowed ancestral ranges and allowed transitions can both affect the outcome of ancestral range ***,we mention some promising avenues for future work in the development of model-based approaches to biogeographic analysis.

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