S-DIVA (Statistical Dispersal-Vicariance Analysis): A tool for inferring biogeographic histories.

By A. Harris, Xingjin He. Molecular Phylogenetics and Evolution, 2010

730 citations recorded by the source corpus.

Dispersal-Vicariance Analysis (DIVA) is one of the most widely used methods of inferring biogeographic histories. Here we present a simple tool that complements DIVA and uses a Statistical Dispersal-Vicariance Analysis (S-DIVA) to statistically evaluate the alternative ancestral ranges at each node in a tree accounting for phylogenetic uncertainty and uncertainty in DIVA optimization. S-DIVA provides a point-and-click user interface and displays results as, high-resolution, exportable graphics. S-DIVA is freely available for download for Windows at http://mnh.scu.edu.cn/S-DIVA.

Subfields: Ecological Modeling, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2942691890771c68625fe3b5d21135f4b9e378fc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Genetics

In Molecular Biology

Citations in the corpus

From Mediterranean shores to central Saharan mountains: key phylogeographical insights from the genus Myrtus (2012, methodology): “…the maximum clade credibility (MCC) tree produced by beast was used to map the ancestral distributions reconstructed for each node, by a statistical dispersal–vicariance analysis (S-DIVA, implemented in the program rasp 1.1; Yu et al., 2010, 2011) conducted on the 10,000 trees sampled by beast.”
Neotropical diversification seen through glassfrogs (2014, methodology): “To identify dispersal, vicariance and extinction events between the biogeographical areas, we used statistical dispersal–vicariance analysis (S-DIVA; Yu et al., 2010) as implemented in rasp v2.”
Biogeography and diversification of colletid bees (Hymenoptera: Colletidae): emerging patterns from the southern end of the world (2012, methodology): “Both types of uncertainty can be accounted for in the Bayes-DIVA approach when ancestral distributions are plotted as marginal distributions (probabilities) on nodes in the tree (Nylander et al., 2008; Yu et al., 2010, 2011).”
‘Out‐of‐Africa’ dispersal of tropical floras during the Miocene climatic optimum: evidence from Uvaria (Annonaceae) (2012, methodology): “The ancestral area of Uvaria and subsequent dispersal routes were inferred using a Bayesian approach to dispersal–vicariance analysis (Ronquist, 1997; Nylander et al., 2008) implemented in statistical dispersal–vicariance analysis (s-diva) 1.9 beta (Yu et al., 2010a,b).”
The Sahul–Sunda floristic exchange: dated molecular phylogenies document Cenozoic intercontinental dispersal dynamics (2015, methodology): “In some cases (e.g. Nauheimer et al., 2012a) the original studies incorporated historical biogeographical reconstructions, using parsimony-based methods such as dispersal vicariance analysis (DIVA; Ronquist, 1997) and statistical dispersal–vicariance analysis (S-DIVA; Yu et al., 2010).”
West to east dispersal and subsequent rapid diversification of the mega‐diverse genus Begonia (Begoniaceae) in the Malesian archipelago (2012, methodology): “…(1) a Bayesian approach to dispersal–vicariance analysis (Bayes-DIVA) (Ronquist, 1997; Nylander et al., 2008) implemented in s-diva v. 1.9beta (Yu et al., 2010); (2) a likelihood approach using the dispersal– extinction–cladogenesis model implemented in Lagrange build20101113 (Ree & Smith,…”
A tale of migrations from east to west: the Irano‐Turanian floristic region as a source of Mediterranean xerophytes (2014, methodology): “BBM, unlike S–DIVA, offers a statistical procedure for inferring states at ancestral nodes using a full hierarchical Bayesian approach (Yu et al., 2010, 2011).”