Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis.

By Richard H. Ree, Stephen A. Smith. Systematic Biology, 2008

2,174 citations recorded by the source corpus.

Subfields: Genetics, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/680bc21f1a77b1894da70cb97e5774fd1b84498d

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In Genetics

In Nature and Landscape Conservation

In Paleontology

Citations in the corpus

Prospects and challenges for parametric models in historical biogeographical inference (2009, methodology): “The first approach is based on a continuous-time model for geographic range evolution by dispersal, extinction and cladogenesis (the DEC model: Ree et al., 2005; Ree & Smith, 2008 ), which may be thought of as a parametric, extended version of dispersal‐vicariance analysis (Ronquist, 1997).”
The evolutionary and biogeographic history of the armoured harvestmen – Laniatores phylogeny based on ten molecular markers, with the description of two new families of Opiliones (Arachnida) (2011, methodology): “Ancestral range reconstruction Likelihood analysis of range evolution of (Samooidea + Zalmoxoidea) was conducted using the program Lagrange (Ree et al. 2005; Ree and Smith 2008).”
A tale of worldwide success: Behind the scenes of Carex (Cyperaceae) biogeography and diversification (2019, background): “…of many Carex sections (GCG, 2016a), species relationships across geographic areas have in many cases been predicted fairly accurately by morphological taxonomy before the development and popularization of molecular systematic techniques (see Reznicek, 1990; Egorova, 1999; Ball & Reznicek, 2002).”
Can the tropical conservatism hypothesis explain temperate species richness patterns? An inverse latitudinal biodiversity gradient in the New World snake tribe Lampropeltini (2009, methodology): “The ancestral area of the lampropeltinines was estimated using the ML dispersal‐extinction‐cladogenesis model implemented in the program L agrange 2.0.1 (Ree et al ., 2005; Ree & Smith, 2008 ).”
The role of molecular genetics in sculpting the future of integrative biogeography (2008, background): “Unlike the upheaval of the 1970s, however, these conceptual and analytical developments are emerging in parallel along two tracks: on the one hand, within a more traditional area and taxonbased historical biogeography (eg, Ronquist, 2003; Ree et al., 2005; Wojcicki and Brooks, 2005; Ree and Smith, 2”
Phylogeny, ecology, and the origins of climate-richness relationships (2012, methodology): “Furthermore, methods for reconstructing ancestral traits (for continuous variables) and ancestral biogeographic regions have been extensively tested using simulations and found to be generally accurate, given some assumptions (e.g., Martins 1999, Ree and Smith 2008).”
Phylogenetic scale in ecology and evolution (2016, methodology): “(Rabosky, 2014), surface (Ingram & Mahler, 2013), nodiv (Borregaard et al., 2014), MOTMOT (Thomas & Freckleton, 2012), ape and geiger2 (Blomberg et al., 2003; Butler & King, 2004; Edwards & Cavalli-Sforza, 1964; Felsen-stein, 1985; Hansen, 1997; Paradis et al., 2004; Pennell et al., 2014), consenTRA”
Historical Biogeography: Evolution in Time and Space (2012, background): “The most popular is the Dispersal–Extinction–Cladogenesis (DEC) likelihood model developed by Richard Ree and colleagues (Ree et al. 2005; Ree and Smith 2008).”