2018
DOI: 10.12677/br.2018.74049
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Clustering Analysis and Biogeographical Regionalization of Distribution Patterns of Dicotyledonous Plants in the World—Biogeographical Regionalization Research X

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Cited by 3 publications
(2 citation statements)
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“…To trace the biogeographic history of the subfamily, an ancestral range estimation was conducted using the R package BioGeoBEARS (Matzke, 2014) implemented in RASP (Yu et al, 2015, 2020) based on the MCMC chronogram mentioned above. We defined seven areas based on climatic and tectonic histories of continents and extant distributions of Polygonaceae (Shen et al, 2018): (A) Northwestern Palaearctic realm, (B) Eastern Palaearctic realm, (C) India‐Pacific realm, (D) African realm, (E) Australian realm, (F) Neoarctic realm, (G) Neotropical realm.…”
Section: Methodsmentioning
confidence: 99%
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“…To trace the biogeographic history of the subfamily, an ancestral range estimation was conducted using the R package BioGeoBEARS (Matzke, 2014) implemented in RASP (Yu et al, 2015, 2020) based on the MCMC chronogram mentioned above. We defined seven areas based on climatic and tectonic histories of continents and extant distributions of Polygonaceae (Shen et al, 2018): (A) Northwestern Palaearctic realm, (B) Eastern Palaearctic realm, (C) India‐Pacific realm, (D) African realm, (E) Australian realm, (F) Neoarctic realm, (G) Neotropical realm.…”
Section: Methodsmentioning
confidence: 99%
“…To trace the biogeographic history of the subfamily, an ancestral range estimation was conducted using the R package BioGeoBEARS (Matzke, 2014) implemented in RASP (Yu et al, 2015(Yu et al, , 2020 based on the MCMC chronogram mentioned above. We defined seven areas based on climatic and tectonic histories of continents and extant distributions of Polygonaceae (Shen et al, 2018) We used S-DIVA and BBM analyses implemented in RASP (Yu et al, 2015(Yu et al, , 2020 to reconstruct the possible ancestral ranges of the subfamily on the phylogenetic trees. The maximum number of areas was set to seven.…”
Section: Biogeographical Analysesmentioning
confidence: 99%