Model selection in historical biogeography reveals that founder-event speciation is a crucial process in Island Clades.

By N. Matzke. Systematic Biology, 2014

1,214 citations recorded by the source corpus.

Subfields: Genetics, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/00c5b9f47bcef9646c8a8d0c77d03bcf542d8a9e

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In Genetics

In Nature and Landscape Conservation

In Paleontology

Citations in the corpus

Evolution, Diversification, and Biogeography of Grasshoppers (Orthoptera: Acrididae) (2018, methodology): “Likelihood values of these models were compared using a likelihood ratio test and we used the Akaike Information Criterion (AIC) to directly compare how well the different models fit the data (Matzke 2013, 2014).”
Orchid historical biogeography, diversification, Antarctica and the paradox of orchid dispersal (2016, methodology): “BioGeoBEARS incorporates a founder-event parameter for ‘jump speciation’, which allows cladogenetic dispersal outside parental areas.”
In and out of the Qinghai‐Tibet Plateau: divergence time estimation and historical biogeography of the large arctic‐alpine genus Saxifraga L. (2017, methodology): “(b) Ancestral range estimation based on DEC+J model implemented in BioGeoBEARS.”
Bayesian estimation of the global biogeographical history of the Solanaceae (2017, background): “Just as the morphological stochastic mapping was built on Pagel’s (1999) likelihood models for trait evolution, the development of stochastic mapping for biogeographical patterns relies on existing likelihood models describing how geographical ranges evolve (Ree & Smith, 2008; Matzke, 2014).”
Evaluating the influence of connectivity and distance on biogeographical patterns in the south‐western deserts of North America (2016, methodology): “…often reveals that the data support founder-event speciation as a process important for explanation of the geographical range data at the tips of the phylogeny (Matzke, 2013, 2014; Harris et al., 2014; Voelker et al., 2014), although traditional DEC cladogenesis processes remain important.”
Grass diversification in Madagascar: In situ radiation of two large C3 shade clades and support for a Miocene to Pliocene origin of C4 grassy biomes (2018, methodology): “…(DEC) model (Ree & Smith, 2008); (2) a DEC model expanded with j, a relative weight for founder-event speciation (DEC+j; Matzke, 2014); (3) an expanded DEC model scaling dispersal probabilities by distance between areas to power x (DEC+x; Van Dam & Matzke, 2016) and…”
RASP 4: ancestral state reconstruction tool for multiple genes and characters. (2019, neutral): “In RASP 4, we implement a generalized statistical method for models implemented in the R package ‘BioGeoBEARS’ (Matzke 2014) and ‘APE’ (Paradis and Schliep 2018); namely our method summarizes ancestral reconstructions across all input trees.”
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”
A tale of worldwide success: Behind the scenes of Carex (Cyperaceae) biogeography and diversification (2019, methodology): “Ancestral area reconstruction (AAR) was conducted using the R package “ BioGeoBEARS ” (Matzke, 2013, 2014a).”