Literature DB >> 22437183

Classification tree methods provide a multifactorial approach to predicting insular body size evolution in rodents.

Paul A P Durst1, V Louise Roth.   

Abstract

Many hypotheses have been proposed to explain size changes in insular mammals, but no single variable suffices to explain the diversity of responses, particularly within Rodentia. Here in a data set on insular rodents, we observe strong consistency in the direction of size change within islands and within species but (outside of Heteromyidae) little consistency at broader taxonomic scales. Using traits of islands and of species in a classification tree analysis, we find the most important factor predicting direction of change to be mainland body mass (large rodents decrease, small ones increase); other variables (island climate, number of rodent species, and area) were significant, although their roles as revealed by the classification tree were context dependent. Ecological interactions appear relatively uninformative, and on any given island, the largest and smallest rodent species converged or diverged in size with equal frequency. Our approach provides a promising framework for continuing examination of insular body size evolution.

Mesh:

Year:  2012        PMID: 22437183     DOI: 10.1086/664611

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  3 in total

1.  Mainland size variation informs predictive models of exceptional insular body size change in rodents.

Authors:  Paul A P Durst; V Louise Roth
Journal:  Proc Biol Sci       Date:  2015-07-07       Impact factor: 5.349

2.  Unravelling the determinants of insular body size shifts.

Authors:  Craig R McClain; Paul A P Durst; Alison G Boyer; Clinton D Francis
Journal:  Biol Lett       Date:  2012-12-12       Impact factor: 3.703

3.  Genetics of Skeletal Evolution in Unusually Large Mice from Gough Island.

Authors:  Michelle D Parmenter; Melissa M Gray; Caley A Hogan; Irene N Ford; Karl W Broman; Christopher J Vinyard; Bret A Payseur
Journal:  Genetics       Date:  2016-09-30       Impact factor: 4.562

  3 in total

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