Phylogenetic Methods in Biogeography
By Fredrik Ronquist, Isabel Sanmart. 2011
273 citations recorded by the source corpus.
Subfields: Genetics, Nature and Landscape Conservation, Paleontology
View Paper: https://www.semanticscholar.org/paper/c2389bb03d4eee669f1a3509897cead0320d2262
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- N. Matzke
- I. Sanmartín
- Peter Convey
- Catherine H. Graham
- Antonín Machac
- David Storch
- Brian R. Moore
- Michael J. Landis
In Nature and Landscape Conservation
- N. Matzke
- Antonín Machac
- Catherine H. Graham
- David Storch
- Brian R. Moore
- Michael J. Landis
- John P. Huelsenbeck
- Helen J. Peat
In Paleontology
- N. Matzke
- I. Sanmartín
- David Storch
- Catherine H. Graham
- Antonín Machac
- Brian R. Moore
- John P. Huelsenbeck
- Michael J. Landis
Citations in the corpus
- Model selection in historical biogeography reveals that founder-event speciation is a crucial process in Island Clades. (2014, methodology): “However, as noted above, these concepts of dispersal are anagenetic range-expansion events (Ronquist and Sanmartín 2011), and are not identical with founder events simultaneous with lineage splitting.”
- Phylogenetic scale in ecology and evolution (2016, methodology): “…the deep nodes of the phylogeny, resulting in incorrect and potentially biased estimates for the attribute of interest (e.g., ancestral reconstructions under dispersal – vicariance models often erroneously suggest that the ancestor occupied all of the regions examined; Ronquist & Sanmartín, 2011).”
- Probabilistic historical biogeography: new models for founder-event speciation, imperfect detection, and fossils allow improved accuracy and model-testing (2013, unknown): “ In a parsimony framework, the optimum history is the one with the minimum number steps (as in the parsimony-‐based DIVA; Ronquist 1996; Ronquist 1997) or the model parameters that confer the maximum likelihood on the geographic range data at the tips o”
- Bayesian analysis of biogeography when the number of areas is large. (2013, methodology): “Historical biogeography has begun the transition to explicitly model-based statistical inference (Ree and Sanmartín 2009; Ronquist and Sanmartín 2011).”
- Historical Biogeography: Evolution in Time and Space (2012, background): “In addition, historical biogeography has begun lately to incorporate ecological information into biogeographic reconstructions through techniques like ecological niche modeling (Lieberman 2000; Stigall and Lieberman 2005) and new analytical statistical methods (Ronquist and Sanmartín 2011).”
- Conservation biogeography of the Antarctic (2012, background): “…debate exists about the validity of various biogeographic classification approaches (see Morrone & Crisci, 1995; Brooks & Van Veller, 2003; Morrone, 2005; Ronquist & Sanmartin, 2011 for further discussion), we elected simply to recognize that these methods have various strengths and weaknesses.”