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Horizon / Pleins textes
Other literature type . 2018
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Journal of Biogeography
Article . 2018 . Peer-reviewed
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HAL INRAE
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Beyond trees: Biogeographical regionalization of tropical Africa

Authors: David Harris; Gilles Dauby; Vincent Droissart; Vincent Droissart; Vincent Droissart; Jan J. Wieringa; Thomas L. P. Couvreur; +14 Authors

Beyond trees: Biogeographical regionalization of tropical Africa

Abstract

AbstractAimTo delineate bioregions in tropical Africa and determine whether different plant growth forms (trees, terrestrial herbs, lianas and shrubs) display the same pattern of regionalization, diversity and endemism as the whole flora.LocationTropical Africa (excl. Madagascar), from 20° N to 25° S.TaxonVascular plants.MethodsAnalyses were based on occurrences of 24,719 vascular plant species distributed across tropical Africa extracted from the RAINBIO database. The majority of species (93%) were classified into four growth forms: terrestrial herbs, trees, shrubs and lianas. Biogeographical regions (bioregions) were delimited using a bipartite network clustering approach on the whole dataset and then separately for each growth form. Relationships among bioregions were investigated using non‐metric multidimensional scaling ordination, flora nestedness and endemism patterns.ResultsAnalyses of the whole dataset identified 16 bioregions and 11 transition zones. These were congruent with most of the currently recognized phytogeographical classifications, and also highlighted previously under‐recognized bioregions. Bioregion endemism rates were lower and species richness higher when compared to estimates from the White/Association pour l'Etude Taxonomique de la Flore d'Afrique Tropicale (AETFAT) classification. Analysed separately, plant growth forms showed contrasting geographical patterns. Bioregionalization was better resolved for closed forest types using trees and lianas and for open vegetation types using terrestrial herbs, while shrubs showed good discriminative power in all vegetation types.Main conclusionsWe show that distribution patterns based on solely trees are not sufficient to define floristic bioregions in tropical Africa. Analyses of spatial patterns using different growth forms are complementary, likely reflecting different evolutionary processes and ecological relationships. The contribution of growth forms to delimit geographical floristic patterns across tropical Africa is of critical importance for land use planning and management, and for selecting priority conservation areas.

Countries
France, Belgium
Keywords

[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, RAINBIO database, madagascar, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, growth forms, [SDV.EE.ECO] Life Sciences [q-bio]/Ecology, environment/Ecosystems, SUB-SAHARAN AFRICA, Diversity, FLORA, tropical africa, trees, Phylogenetics and taxonomy, RAIN-FOREST, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, REGIONS, endemism, Network clustering, environment/Ecosystems, Biologie, Endemism, 570, nestedness, CONSERVATION, African bioregions, diversity, [SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics, network clustering, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, SPECIES COMPOSITION, Growth form, Phytogeography, 580, PLANT DIVERSITY, phytogeography, ENDEMISM, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, PATTERNS, BIODIVERSITY, [SDE.BE]Environmental Sciences/Biodiversity and Ecology

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    85
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    Top 1%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 1%
Top 10%
Top 1%
Green