@article{fdi:010081301,
  title = {{U}nveiling {A}frican rainforest composition and vulnerability to global change},
  author = {{R}{\'e}jou-{M}{\'e}chain, {M}axime and {M}ortier, {F}. and {B}astin, {J}. {F}. and {C}ornu, {G}. and {B}arbier, {N}icolas and {B}ayol, {N}. and {B}enedet, {F}. and {B}ry, {X}. and {D}auby, {G}illes and {D}eblauwe, {V}. and {D}oucet, {J}. {L}. and {D}oumenge, {C}. and {F}ayolle, {A}. and {G}arcia, {C}. and {L}ubamba, {J}. {P}. {K}. and {L}oumeto, {J}. {J}. and {N}gomanda, {A}. and {P}loton, {P}ierre and {S}onke, {B}. and {T}rottier, {C}. and {V}imal, {R}. and {Y}ongo, {O}. and {P}{\'e}lissier, {R}apha{\¨e}l and {G}ourlet-{F}leury, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}frica is forecasted to experience large and rapid climate change(1) and population growth(2) during the twenty-first century, which threatens the world's second largest rainforest. {P}rotecting and sustainably managing these {A}frican forests requires an increased understanding of their compositional heterogeneity, the environmental drivers of forest composition and their vulnerability to ongoing changes. {H}ere, using a very large dataset of 6 million trees in more than 180,000 field plots, we jointly model the distribution in abundance of the most dominant tree taxa in central {A}frica, and produce continuous maps of the floristic and functional composition of central {A}frican forests. {O}ur results show that the uncertainty in taxon-specific distributions averages out at the community level, and reveal highly deterministic assemblages. {W}e uncover contrasting floristic and functional compositions across climates, soil types and anthropogenic gradients, with functional convergence among types of forest that are floristically dissimilar. {C}ombining these spatial predictions with scenarios of climatic and anthropogenic global change suggests a high vulnerability of the northern and southern forest margins, the {A}tlantic forests and most forests in the {D}emocratic {R}epublic of the {C}ongo, where both climate and anthropogenic threats are expected to increase sharply by 2085. {T}hese results constitute key quantitative benchmarks for scientists and policymakers to shape transnational conservation and management strategies that aim to provide a sustainable future for central {A}frican forests. {A} large dataset of 6 million trees from 193 taxa is used to map the floristic and functional composition of central {A}frican forests and predict their vulnerability to climate change.},
  keywords = {{AFRIQUE} {CENTRALE}},
  booktitle = {},
  journal = {{N}ature},
  volume = {593},
  numero = {},
  pages = {90--94 + 21 p.},
  ISSN = {0028-0836},
  year = {2021},
  DOI = {10.1038/s41586-021-03483-6},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081301},
}