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Cradles and museums of generic plant diversity across tropical Africa
Abstract : Determining where species diversify (cradles) and persist (museums) over evolutionary time is fundamental to understanding the distribution of biodiversity and for conservation prioriti-zation. Here, we identify cradles and museums of angiosperm generic diversity across tropical Africa, one of the most biodiverse regions on Earth. Regions containing nonrandom concentrations of young (neo-) and old (paleo-) endemic taxa were identified using distribution data of 1719 genera combined with a newly generated time-calibrated mega-phylogenetic tree. We then compared the identified regions with the current network of African protected areas (PAs). At the generic level, phylogenetic diversity and endemism are mainly concentrated in the biogeographically complex region of Eastern Africa. We show that mountainous areas are centres of both neo-and paleo-endemism. By contrast, the Guineo-Congolian lowland rain forest region is characterized by widespread and old lineages. We found that the overlap between centres of phylogenetic endemism and PAs is high (> 85%). We show the vital role played by mountains acting simultaneously as cradles and museums of tropical African plant biodiversity. By contrast, lowland rainforests act mainly as museums for generic diversity. Our study shows that incorporating large-scale taxonomically verified distribution datasets and mega-phylogenies lead to an improved understanding of tropical plant biodiversity evolution.
Littérature citée [118 références]
https://hal.umontpellier.fr/hal-02407084
Contributeur : Yannick Brohard <>
Soumis le : jeudi 12 décembre 2019 - 12:58:08
Dernière modification le : lundi 14 décembre 2020 - 17:36:24
Archivage à long terme le : : vendredi 13 mars 2020 - 21:40:42
Contributeur : Yannick Brohard <>
Soumis le : jeudi 12 décembre 2019 - 12:58:08
Dernière modification le : lundi 14 décembre 2020 - 17:36:24
Archivage à long terme le : : vendredi 13 mars 2020 - 21:40:42
Fichier
Dauby_etal_New_Phytol_2019.pdf
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