Inferring dispersal: a Bayesian approach to phylogeny‐based island biogeography, with special reference to the Canary Islands
By I. Sanmartín, Paul van der Mark, Fredrik Ronquist. 2008
246 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Paleontology
View Paper: https://www.semanticscholar.org/paper/961c247ab296bba0f5b4ab4e725cf9f3fbc72f23
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Marc A. Suchard
- Alexei J. Drummond
- Andrew Rambaut
- I. Sanmartín
- Philippe Lemey
- Fredrik Ronquist
- Q. Xiang
- Isabel Sanmart
In Molecular Biology
- Alexei J. Drummond
- Marc A. Suchard
- Andrew Rambaut
- Philippe Lemey
- Seán G. Brady
- I. Sanmartín
- Ziheng Yang
- Johan A. A. Nylander
In Paleontology
- I. Sanmartín
- Marc A. Suchard
- Johan A. A. Nylander
- Alexei J. Drummond
- Andrew Rambaut
- Q. Xiang
- A. Harris
- Fredrik Ronquist
Citations in the corpus
- Species delimitation, patterns of diversification and historical biogeography of the Neotropical frog genus Adenomera (Anura, Leptodactylidae) (2014, methodology): “We performed the Bayesian method of biogeographical and ancestral state reconstruction implemented in rasp 2.0 (Sanmart ın et al., 2008; Yu et al., 2011).”
- An evaluation of new parsimony‐based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae (2011, methodology): “, 2001), could not be directly incorporated into the biogeographical analysis (Sanmartı́n et al., 2008).”
- Taking into account phylogenetic and divergence‐time uncertainty in a parametric biogeographical analysis of the Northern Hemisphere plant clade Caprifolieae (2009, unknown): “However, estimating dispersal across multiple clades will increase the number of data (Sanmartı́n et al., 2008), provid-”
- Prospects and challenges for parametric models in historical biogeographical inference (2009, methodology): “Extinction is not explicitly considered as a parameter in the Bayesian island model, but it is implicit in the reconstructed phylogeny, which includes only extant species (Sanmartı́n et al., 2008).”
- Biogeography and diversification of colletid bees (Hymenoptera: Colletidae): emerging patterns from the southern end of the world (2012, methodology): “, 2005; Ree & Smith, 2008) and a Bayesian model for biogeographical reconstruction (Sanmartı́n et al., 2008).”
- Phylogenetic Methods in Biogeography (2011, methodology): “…difficult ad-hoc decisions about the relative costs of different events; (c) it is difficult to test alternative hypotheses; and (d ) most methods ignore phylogenetic uncertainty and dating information, essential components in biogeographic analysis (Donoghue & Moore 2003, Sanmartı́n et al. 2008).”
- Historical Biogeography: Evolution in Time and Space (2012, methodology): “For example, in island systems like the Canary Islands, one may wish to constrain dispersal to follow the island chain by making the rate of dispersal between non-adjacent islands in the chain equal to zero (Sanmartín et al. 2008).”
- Estimating ancestral distributions of lineages with uncertain sister groups: a statistical approach to Dispersal–Vicariance Analysis and a case using Aesculus L. (Sapindaceae) including fossils (2009, methodology): “Although new modelbased likelihood and Bayesian methods of reconstructing biogeographic histories have recently been developed (Ree et al., 2005; Ree & Smith, 2008; Sanmartı́n et al., 2008; also Lemmon & Lemmon, 2008), a quick, advanced search using Google Scholar for 2008 published reports containi”
- Bayesian Phylogeography Finds Its Roots (2009, methodology): “While probabilistic methods have been previously presented in a bio- or phylogeographic context, in particular Bayesian methods that integrate over phylogenetic uncertainty and Markov model parameter uncertainty”