Dusan Vladimir Boric Bargetto

Dr. Dusan Vladimir Boric Bargetto

Pontificial Catholic University of Valparaiso, Valparaíso, Chile
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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 February 2013 in Methods in Ecology and Evolution
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Journal Article
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CHCristián E. Hernández
Cristián E. Hernández
EREnrique Rodriguez-Serrano
Enrique Rodriguez-Serrano
JAJorge Avaria‐Llautureo
Jorge Avaria‐Llautureo
OIOscar Inostroza‐Michael
Oscar Inostroza‐Michael
BMBryan Morales‐Pallero
Bryan Morales‐Pallero
AMAndrew Meade
Andrew Meade
Summary: It is widely recognized that macroecological patterns are not independent of the evolution of the lineages involved in generating these patterns. While many researchers have begun to evaluate the effect of ancestor–descendant relationships on observed patterns using the phylogenetic comparative method, most macroecological studies only utilize the cross‐sectional comparative method to ‘remove the phylogenetic history’, without considering the option of evaluating its effect without removing it. Currently, most researchers use this method without explicitly evaluating three fundamental evolutionary assumptions of the comparative method: (i) that the phylogeny is constructed without error (which implies evaluating phylogenetic uncertainty); (ii) that more closely related species tend to show more similar characters than expected by chance (which implies evaluating the phylogenetic signal) and; (iii) that the model of the characters' evolution effectively recapitulates their history (which implies comparing the fit of several evolutionary models and evaluating the uncertainty of the estimating model parameters). Macroecological studies will benefit from the use of the comparative method to assess the effect of phylogenetic history without removing its effect. The comparative method will also allow for the simultaneous analysis of trait evolution and its impact on diversification rates; it is important to evaluate these processes together because they are not independent. In addition, explicit evaluations of the assumptions of comparative methods using Bayesian inferences will allow researchers to quantify the uncertainty of specific evolutionary hypotheses accounting for observed macroecological patterns. We illustrate the usefulness of the method using the phylogeny of the genusSebastes(Pisces: Scorpaeniformes), together with data on the body size–latitudinal range relationship to estimate the effect of phylogenetic history on the observed macroecological pattern.

1 December 2016 in Emerging Infectious Diseases
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Journal Article
Open access
GBGonzalo P. Barriga
Gonzalo P. Barriga
DBDusan Vladimir Boric Bargetto
Dusan Vladimir Boric Bargetto
MMMarcelo Cortez San Martin
Marcelo Cortez San Martin
VRVictor Manuel Neira Ramirez
Victor Manuel Neira Ramirez
HBHarm van Bakel
Harm van Bakel
RMRafael A. Medina
Rafael A. Medina

1 March 2012 in PLOS ONE
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Journal Article
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RPR. Eduardo Palma
R. Eduardo Palma
DBDusan Vladimir Boric Bargetto
Dusan Vladimir Boric Bargetto
FTFernando Torres-Perez
Fernando Torres-Perez
CHCristián E. Hernández
Cristián E. Hernández
TYTerry L. Yates
Terry L. Yates
The long-tailed pygmy rice rat Oligoryzomys longicaudatus (Sigmodontinae), the major reservoir of Hantavirus in Chile and Patagonian Argentina, is widely distributed in the Mediterranean, Temperate and Patagonian Forests of Chile, as well as in adjacent areas in southern Argentina. We used molecular data to evaluate the effects of the last glacial event on the phylogeographic structure of this species. We examined if historical Pleistocene events had affected genetic variation and spatial distribution of this species along its distributional range. We sampled 223 individuals representing 47 localities along the species range, and sequenced the hypervariable domain I of the mtDNA control region. Aligned sequences were analyzed using haplotype network, Bayesian population structure and demographic analyses. Analysis of population structure and the haplotype network inferred three genetic clusters along the distribution of O. longicaudatus that mostly agreed with the three major ecogeographic regions in Chile: Mediterranean, Temperate Forests and Patagonian Forests. Bayesian Skyline Plots showed constant population sizes through time in all three clusters followed by an increase after and during the Last Glacial Maximum (LGM; between 26,000–13,000 years ago). Neutrality tests and the “g” parameter also suggest that populations of O. longicaudatus experienced demographic expansion across the species entire range. Past climate shifts have influenced population structure and lineage variation of O. longicaudatus. This species remained in refugia areas during Pleistocene times in southern Temperate Forests (and adjacent areas in Patagonia). From these refugia, O. longicaudatus experienced demographic expansions into Patagonian Forests and central Mediterranean Chile using glacial retreats.

10 October 2005 in Journal of Biogeography
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Journal Article
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RPR. Eduardo Palma
R. Eduardo Palma
PMPablo Marquet
Pablo Marquet
DBDusan Vladimir Boric Bargetto
Dusan Vladimir Boric Bargetto

1 September 2011 in Revista chilena de historia natural
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Journal Article
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EVEvelyn Valencia-Pacheco
Evelyn Valencia-Pacheco
JAJorge Avaria-Llautureo
Jorge Avaria-Llautureo
CMChristian Muñoz-Escobar
Christian Muñoz-Escobar
DBDusan Vladimir Boric Bargetto
Dusan Vladimir Boric Bargetto
CHCristián E Hernández
Cristián E Hernández

1 April 2014 in Zoologica Scripta
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Journal Article
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RPR. Eduardo Palma
R. Eduardo Palma
DBDusan Vladimir Boric Bargetto
Dusan Vladimir Boric Bargetto
JJJ. Pablo Jayat
J. Pablo Jayat
DFDavid Flores
David Flores
HZHoracio Zeballos
Horacio Zeballos
UPUlyses F. J. Pardiñas
Ulyses F. J. Pardiñas