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Dramatic impact of metric choice on biogeographical regionalization.

ABSTRACT: For a quantitative biogeographical regionalization, the choice of an appropriate dissimilarity index to measure pairwise distances is crucial. Several different metrics have been used, but there is no specific study to test the impact of metric choice on biogeographical regionalization. We herein applied a hierarchical cluster analysis on the mean nearest taxon distance (MNTD) and the phylogenetic turnover component of the Sørensen dissimilarity index (p?sim) pairwise distances to generate two schemes of phylogenetic regionalization of the Chinese flora, and then evaluated the effect of metric choice. Floristic regionalization based on MNTD was influenced by richness differences, but regionalization based on p?sim can clearly reflect the evolutionary history of the Chinese flora. We provided a brief description of the five regions identified by p?sim, and the regionalization can help develop strategies to effectively conserve the taxa and floristic regions with different origins and evolutionary histories.

SUBMITTER: Ye JF

PROVIDER: S-EPMC7195599 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Dramatic impact of metric choice on biogeographical regionalization.

Ye Jian-Fei JF Liu Yun Y Chen Zhi-Duan ZD

Plant diversity 20200319 2

For a quantitative biogeographical regionalization, the choice of an appropriate dissimilarity index to measure pairwise distances is crucial. Several different metrics have been used, but there is no specific study to test the impact of metric choice on biogeographical regionalization. We herein applied a hierarchical cluster analysis on the mean nearest taxon distance (MNTD) and the phylogenetic turnover component of the Sørensen dissimilarity index (pβ<sub>sim</sub>) pairwise distances to gen ...[more]

PMID: 32373764

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