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A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models Genet. Mol. Biol.
Diniz-Filho,José Alexandre F.; Santos,Thiago; Rangel,Thiago Fernando; Bini,Luis Mauricio.
Several metrics have been developed for estimating phylogenetic signal in comparative data. These may be important both in guiding future studies on correlated evolution and for inferring broad-scale evolutionary and ecological processes (e.g., phylogenetic niche conservatism). Notwithstanding, the validity of some of these metrics is under debate, especially after the development of more sophisticated model-based approaches that estimate departure from particular evolutionary models (i.e., Brownian motion). Here, two of these model-based metrics (Blomberg's K-statistics and Pagel's λ) are compared with three statistical approaches [Moran's I autocorrelation coefficient, coefficients of determination from the autoregressive method (ARM), and phylogenetic...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Autocorrelation; Blomberg's K; Pagel's lambda; Autoregressive method; Moran's I; Phylogenetic eigenvector regression.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400019
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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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