@article{fdi:010072844,
  title = {{B}eyond trees : biogeographical regionalization of tropical {A}frica},
  author = {{D}roissart, {V}incent and {D}auby, {G}. and {H}ardy, {O}. {J}. and {D}eblauwe, {V}incent and {H}arris, {D}. {J}. and {J}anssens, {S}. and {M}ackinder, {B}. and {B}lach-{O}vergaard, {A}. and {S}onke, {B}. and {S}osef, {M}. {S}. {M}. and {S}tevart, {T}. and {S}venning, {J}. {C}. and {W}ieringa, {J}. {J}. and {C}ouvreur, {T}homas},
  editor = {},
  language = {{ENG}},
  abstract = {{A}im: {T}o delineate bioregions in tropical {A}frica 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. {L}ocation: {T}ropical {A}frica (excl. {M}adagascar), from 20 degrees {N} to 25 degrees {S}. {T}axon: {V}ascular plants. {M}ethods: {A}nalyses were based on occurrences of 24,719 vascular plant species distributed across tropical {A}frica extracted from the {RAINBIO} database. {T}he majority of species (93%) were classified into four growth forms: terrestrial herbs, trees, shrubs and lianas. {B}iogeographical regions (bioregions) were delimited using a bipartite network clustering approach on the whole dataset and then separately for each growth form. {R}elationships among bioregions were investigated using non-metric multidimensional scaling ordination, flora nestedness and endemism patterns. {R}esults: {A}nalyses of the whole dataset identified 16 bioregions and 11 transition zones. {T}hese were congruent with most of the currently recognized phytogeographical classifications, and also highlighted previously under-recognized bioregions. {B}ioregion endemism rates were lower and species richness higher when compared to estimates from the {W}hite/{A}ssociation pour l'{E}tude {T}axonomique de la {F}lore d'{A}frique {T}ropicale ({AETFAT}) classification. {A}nalysed separately, plant growth forms showed contrasting geographical patterns. {B}ioregionalization 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. {M}ain conclusions: {W}e show that distribution patterns based on solely trees are not sufficient to define floristic bioregions in tropical {A}frica. {A}nalyses of spatial patterns using different growth forms are complementary, likely reflecting different evolutionary processes and ecological relationships. {T}he contribution of growth forms to delimit geographical floristic patterns across tropical {A}frica is of critical importance for land use planning and management, and for selecting priority conservation areas.},
  keywords = {{A}frican bioregions ; diversity ; endemism ; growth forms ; nestedness ; network clustering ; phytogeography ; {RAINBIO} database ; {AFRIQUE} {SUBSAHARIENNE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{J}ournal of {B}iogeography},
  volume = {45},
  numero = {5},
  pages = {1153--1167},
  ISSN = {0305-0270},
  year = {2018},
  DOI = {10.1111/jbi.13190},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072844},
}