Prospects and challenges for parametric models in historical biogeographical inference

By Richard H. Ree, I. Sanmartín. 2009

178 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/ab931ec81436a091d7356c97c69e760860b02bdd

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In Ecological Modeling

In Nature and Landscape Conservation

In Paleontology

Citations in the corpus

Historical Biogeography: Evolution in Time and Space (2012, methodology): “A more important limitation is how to balance the complexity of biogeographic models with the inferential power of the method (Ree and Sanmartín 2009).”
Using regional comparative phylogeographic data from snake lineages to infer historical processes in Middle America (2010, methodology): “…commonly used methods for such deep historical inferences search for evidence of congruence among different lineages and then explain this congruence (or lack of congruence) with vicariance/dispersal scenarios (Nelson and Platnick 1981, Ronquist 1997, Ree and Smith 2008, Ree and Sanmartı́n 2009).”
Bayesian analysis of biogeography when the number of areas is large. (2013, methodology): “Thus, for values of N ≥20, the number of computations required to exponentiate the rate matrix is quite large and computing the transition probabilities in this manner is intractable (Ree and Sanmartín 2009).”
Neotropical Plant Evolution: Assembling the Big Picture (2013, methodology): “…phylogenetic trees remains somewhat uncertain methodologically, with little consensus as to the best of the several newly emerging approaches to use, although this is also a reflection of the large differences in data used and hypotheses to be tested (Ree & Sanmartín, 2009; Pirie et al., 2012).”
Model selection in historical biogeography reveals that founder-event speciation is a crucial process in Island Clades. (2014, methodology): “Probabilistic modeling of geographic range evolution (Ree et al. 2005; Ree and Smith 2008; Ree and Sanmartín 2009) was a major advance in historical biogeography, making biogeographical problems accessible to modelbased maximum-likelihood (ML) and Bayesian inference methodologies (reviewed by…”
An evaluation of new parsimony‐based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae (2011, methodology): “The DEC model assumes that only one event, a single dispersal or local extinction event, can occur in an instant of time (Ree & Sanmartı´n, 2009).”