2018
DOI: 10.1111/jbi.13475
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A sharp floristic discontinuity revealed by the biogeographic regionalization of African savannas

Abstract: Aim:In tropical Africa, savannas cover huge areas, have high plant species richness and are considered as a major natural resource for most countries. There is, however, little information available on their floristics and biogeography at the continental scale, despite the importance of such information for our understanding of the drivers of species diversity at various scales and for effective conservation and management. Here, we collated and analysed floristic data from across the continent in order to pro… Show more

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Cited by 20 publications
(31 citation statements)
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“…As far as we are aware, the use of a decision tree (CART) method to interpolate a biotically derived biogeographical framework over a large spatial extent is novel, and the approach could be pursued for incompletely sampled taxa and areas outside of tropical Africa. The success of the CART approach is perhaps unsurprising, given the predictive relationship shown between climate and individual plant species distributions in tropical Africa (Blach‐Overgaard, Balslev, Dransfield, Normand, & Svenning, 2015; Deblauwe et al., 2016; Maharjan et al., 2011; McClean et al., 2005), between climate and vegetation physiognomy (Arino et al., 2012), between climate and local‐scale species assemblages across west African forest (Bongers et al., 2004), and between climate and local‐scale species assemblages across savanna and forest biomes of tropical Africa (Fayolle et al., 2014, 2019). Our model is empirical (Guisan & Zimmermann, 2000), employed for the pragmatic purpose of rendering a biogeographical map spatially complete in a way that is plausible and useful.…”
Section: Discussionmentioning
confidence: 99%
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“…As far as we are aware, the use of a decision tree (CART) method to interpolate a biotically derived biogeographical framework over a large spatial extent is novel, and the approach could be pursued for incompletely sampled taxa and areas outside of tropical Africa. The success of the CART approach is perhaps unsurprising, given the predictive relationship shown between climate and individual plant species distributions in tropical Africa (Blach‐Overgaard, Balslev, Dransfield, Normand, & Svenning, 2015; Deblauwe et al., 2016; Maharjan et al., 2011; McClean et al., 2005), between climate and vegetation physiognomy (Arino et al., 2012), between climate and local‐scale species assemblages across west African forest (Bongers et al., 2004), and between climate and local‐scale species assemblages across savanna and forest biomes of tropical Africa (Fayolle et al., 2014, 2019). Our model is empirical (Guisan & Zimmermann, 2000), employed for the pragmatic purpose of rendering a biogeographical map spatially complete in a way that is plausible and useful.…”
Section: Discussionmentioning
confidence: 99%
“…We excluded from analysis vague names, hybrids, cultivars and taxa we knew to be introduced or cultivated. Analyses are conducted at the lowest named taxonomic rank, the most commonly used rank used in phytogeographical studies in tropical Africa (Denys, 1980; Fayolle et al., 2014, 2019; Linder et al., 2005, 2012). Only 4.5% of informative records are resolved to infraspecific rank.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, Fayolle et al . () concluded, using the data presented here, that Lefini and Lesio Louna have floristic similarities with Northern and Western African savannas and woodlands. The mixed floristic composition of the Bateke is likely due to its historical spatial geography.…”
Section: Discussionmentioning
confidence: 56%
“…The similarities with the northern savannas could be explained by the fragmentation of the Congo Basin forest during the Last Glacial Maximum (18000 years ago) (Maley , Fayolle et al . ). Furthermore, the Sangha River Interval provided a large savanna corridor connecting the Sudanian savannas in the north to the Bateke savannas (Maley , Maley & Willis , Bostoen et al .…”
Section: Discussionmentioning
confidence: 97%
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