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Revisiting the vanishing refuge model of diversification

Overview of attention for article published in Frontiers in Genetics, October 2014
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Title
Revisiting the vanishing refuge model of diversification
Published in
Frontiers in Genetics, October 2014
DOI 10.3389/fgene.2014.00353
Pubmed ID
Authors

Roberta Damasceno, Maria L. Strangas, Ana C. Carnaval, Miguel T. Rodrigues, Craig Moritz

Abstract

Much of the debate around speciation and historical biogeography has focused on the role of stabilizing selection on the physiological (abiotic) niche, emphasizing how isolation and vicariance, when associated with niche conservatism, may drive tropical speciation. Yet, recent re-emphasis on the ecological dimensions of speciation points to a more prominent role of divergent selection in driving genetic, phenotypic, and niche divergence. The vanishing refuge model (VRM), first described by Vanzolini and Williams (1981), describes a process of diversification through climate-driven habitat fragmentation and exposure to new environments, integrating both vicariance and divergent selection. This model suggests that dynamic climates and peripheral isolates can lead to genetic and functional (i.e., ecological and phenotypic) diversity, resulting in sister taxa that occupy contrasting habitats with abutting distributions. Here, we provide predictions for populations undergoing divergence according to the VRM that encompass habitat dynamics, phylogeography, and phenotypic differentiation across populations. Such integrative analyses can, in principle, differentiate the operation of the VRM from other speciation models. We applied these principles to a lizard species, Coleodactylus meridionalis, which was used to illustrate the model in the original paper. We incorporate data on inferred historic habitat dynamics, phylogeography and thermal physiology to test for divergence between coastal and inland populations in the Atlantic Forest of Brazil. Environmental and genetic analyses are concordant with divergence through the VRM, yet physiological data are not. We emphasize the importance of multidisciplinary approaches to test this and alternative speciation models while seeking to explain the extraordinarily high genetic and phenotypic diversity of tropical biomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 8 5%
United Kingdom 2 1%
Germany 1 <1%
Colombia 1 <1%
South Africa 1 <1%
Peru 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 144 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 17%
Student > Ph. D. Student 24 15%
Researcher 21 13%
Student > Bachelor 16 10%
Professor 12 8%
Other 35 22%
Unknown 25 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 61%
Environmental Science 13 8%
Biochemistry, Genetics and Molecular Biology 10 6%
Unspecified 5 3%
Business, Management and Accounting 2 1%
Other 2 1%
Unknown 30 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2014.
All research outputs
#14,203,052
of 22,768,097 outputs
Outputs from Frontiers in Genetics
#3,914
of 11,758 outputs
Outputs of similar age
#134,989
of 260,345 outputs
Outputs of similar age from Frontiers in Genetics
#71
of 116 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.