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Mantel test in population genetics Genet. Mol. Biol.
Diniz-Filho,José Alexandre F.; Soares,Thannya N.; Lima,Jacqueline S.; Dobrovolski,Ricardo; Landeiro,Victor Lemes; Telles,Mariana Pires de Campos; Rangel,Thiago F.; Bini,Luis Mauricio.
The comparison of genetic divergence or genetic distances, estimated by pairwise F ST and related statistics, with geographical distances by Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure. There have been, however, recent criticisms and discussions on the statistical performance of the Mantel test. Simultaneously, alternative frameworks for data analyses are being proposed. Here, we review the Mantel test and its variations, including Mantel correlograms and partial correlations and regressions. For illustrative purposes, we studied spatial genetic divergence among 25 populations of Dipteryx alata ("Baru"), a tree species endemic to the Cerrado, the Brazilian savannas, based on 8 microsatellite...
Tipo: Info:eu-repo/semantics/article Palavras-chave: "Baru" tree; Genetic distances; Geographical genetics; Partial correlation; Partial regression.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000400002
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The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix (Lepidoptera, Arctiidae) Rev. Bras. entomol.
Diniz Filho,José Alexandre Felizola; Ferro,Viviane G.; Santos,Thiago; Nabout,João Carlos; Dobrovolski,Ricardo; De Marco Jr.,Paulo.
Species' geographic ranges are usually considered as basic units in macroecology and biogeography, yet it is still difficult to measure them accurately for many reasons. About 20 years ago, researchers started using local data on species' occurrences to estimate broad scale ranges, thereby establishing the niche modeling approach. However, there are still many problems in model evaluation and application, and one of the solutions is to find a consensus solution among models derived from different mathematical and statistical models for niche modeling, climatic projections and variable combination, all of which are sources of uncertainty during niche modeling. In this paper, we discuss this approach of ensemble forecasting and propose that it can be divided...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Arctiidae; Climate change; Geographic range; Niche models; Uncertainty.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0085-56262010000300001
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