Literature DB >> 23595273

Intraspecific morphological and genetic variation of common species predicts ranges of threatened ones.

Trevon L Fuller1, Henri A Thomassen, Manuel Peralvo, Wolfgang Buermann, Borja Milá, Charles M Kieswetter, Pablo Jarrín-V, Susan E Cameron Devitt, Eliza Mason, Rena M Schweizer, Jasmin Schlunegger, Janice Chan, Ophelia Wang, Christopher J Schneider, John P Pollinger, Sassan Saatchi, Catherine H Graham, Robert K Wayne, Thomas B Smith.   

Abstract

Predicting where threatened species occur is useful for making informed conservation decisions. However, because they are usually rare, surveying threatened species is often expensive and time intensive. Here, we show how regions where common species exhibit high genetic and morphological divergence among populations can be used to predict the occurrence of species of conservation concern. Intraspecific variation of common species of birds, bats and frogs from Ecuador were found to be a significantly better predictor for the occurrence of threatened species than suites of environmental variables or the occurrence of amphibians and birds. Fully 93 per cent of the threatened species analysed had their range adequately represented by the geographical distribution of the morphological and genetic variation found in seven common species. Both higher numbers of threatened species and greater genetic and morphological variation of common species occurred along elevation gradients. Higher levels of intraspecific divergence may be the result of disruptive selection and/or introgression along gradients. We suggest that collecting data on genetic and morphological variation in common species can be a cost effective tool for conservation planning, and that future biodiversity inventories include surveying genetic and morphological data of common species whenever feasible.

Mesh:

Year:  2013        PMID: 23595273      PMCID: PMC3652462          DOI: 10.1098/rspb.2013.0423

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  22 in total

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