@article{fdi:010093404,
  title = {{V}ariation in wood density across {S}outh {A}merican tropical forests},
  author = {{S}ullivan, {M}. {J}. {P}. and {P}hillips, {O}. {L}. and {G}albraith, {D}. and {A}lmeida, {E}. and de {O}liveira, {E}. {A}. and {A}lmeida, {J}. and {D}ávila, {E}. {A}. and {A}lves, {L}. {F}. and {A}ndrade, {A}. and {A}ragao, {L}. and {A}raujo-{M}urakami, {A}. and {A}rets, {E}. and {A}rroyo, {L}. and {C}ruz, {O}. {A}. {M}. and {B}accaro, {F}. and {B}aker, {T}. {R}. and {B}anki, {O}. and {B}araloto, {C}. and {B}arlow, {J}. and {B}arroso, {J}. and {B}erenguer, {E}. and {B}lanc, {L}. and {B}lundo, {C}. and {B}onal, {D}. and {B}ongers, {F}. and {B}ordin, {K}. {M}. and {B}rienen, {R}. {J}. {W}. and {B}roggio, {I}. {S}. and {B}urban, {B}. and {C}abral, {G}. and {C}amargo, {J}. {L}. and {C}ardoso, {D}. and {C}arniello, {M}. {A}. and {C}astro, {W}. and de {L}ima, {H}. {C}. and {C}avalheiro, {L}. and {R}ibeiro, {S}. {C}. and {R}amos, {S}. {C}. {P}. and {M}oscoso, {V}. {C}. and {C}have, {J}. and {C}oelho, {F}. and {C}omiskey, {J}. {A}. and {V}alverde, {F}. {C}. and {C}osta, {F}. and {C}outinho, {I}. {A}. {C}. and da {C}osta, {A}. {C}. {L}. and de {M}edeiros, {M}. {B}. and {P}asquel, {J}. {D}. and {D}erroire, {G}. and {D}exter, {K}. {G}. and {D}isney, {M}. and {S}anto, {M}. {M}. {D}. and {D}omingues, {T}. {F}. and {D}ourdain, {A}. and {D}uque, {A}. and {R}angel, {C}. {D}. and {E}lias, {F}. and {E}squivel-{M}uelbert, {A}. and {F}arfan-{R}ios, {W}. and {F}auset, {S}. and {F}eldpausch, {T}. and {F}ernandes, {G}. {W}. and {F}erreira, {J}. and {N}unes, {Y}. {R}. {F}. and {F}igueiredo, {J}. {C}. {G}. and {C}abreara, {K}. {G}. and {G}onzalez, {R}. and {H}ernández, {L}. and {H}errera, {R}. and {C}oronado, {E}. {N}. {H}. and {H}uasco, {W}. {H}. and {I}guatemy, {M}. and {J}oly, {C}. {A}. and {K}alamandeen, {M}. and {K}illeen, {T}. and {K}lipel, {J}. and {K}litgaard, {B}. and {L}aurance, {S}. {G}. and {L}aurance, {W}. {F}. and {L}evesley, {A}. and {L}ewis, {S}. {L}. and {D}an, {M}. {L}. and {L}opez-{G}onzalez, {G}. and {M}agnusson, {W}. and {M}alhi, {Y}. and {M}alizia, {L}. and {M}alizia, {A}. and {M}anzatto, {A}. {G}. and {P}eña, {J}. {L}. {M}. and {M}arimon, {B}. {S}. and {M}arimon, {B}. {H}., {J}r. and {M}artínez-{V}illa, {J}. {A}. and {R}eis, {S}. {M}. and {M}etzker, {T}. and {M}illiken, {W}. and {M}onteagudo-{M}endoza, {A}. and {M}oonlight, {P}. and {M}orandi, {P}. {S}. and {M}oser, {P}. and {M}üller, {S}. {C}. and {N}ascimento, {M}. and {N}egreiros, {D}. and {L}ima, {A}. {N}. and {V}argas, {P}. {N}. and {O}liveira, {W}. {L}. and {P}alacios, {W}. and {C}amacho, {N}. {C}. {P}. and {G}utierrez, {A}. {P}. and {M}olina, {G}. {P}. and de {A}breu, {K}. {M}. {P}. and {P}eña-{C}laros, {M}. and {P}ena {R}odrigues, {P}. {J}. {F}. and {P}ennington, {R}. {T}. and {P}ickavance, {G}. {C}. and {P}ipoly, {J}. and {P}itman, {N}. {C}. {A}. and {P}layfair, {M}. and {P}ontes-{L}opes, {A}. and {P}oorter, {L}. and {P}restes, {N}ccd and {R}amírez-{A}ngulo, {H}. and {R}{\'e}jou-{M}{\'e}chain, {M}axime and et al.,},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. {T}he need to understand how and why wood density varies is especially critical in tropical {A}merica where forests have exceptional species diversity and spatial turnover in composition. {A}s tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. {H}ere, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial variation in wood density over tropical and sub-tropical {S}outh {A}merica. {O}ur analysis refines previously identified east-west {A}mazon gradients in wood density, improves them by revealing fine-scale variation, and extends predictions into {A}ndean, dry, and {A}tlantic forests. {T}he results halve biomass prediction errors compared to a naive scenario with no knowledge of spatial variation in wood density. {O}ur findings will help improve remote sensing-based estimates of aboveground biomass carbon stocks across tropical {S}outh {A}merica.},
  keywords = {{AMERIQUE} {DU} {SUD} ; {AMAZONIE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{N}ature {C}ommunications},
  volume = {16},
  numero = {1},
  pages = {2351 [12 p.]},
  year = {2025},
  DOI = {10.1038/s41467-025-56175-4},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093404},
}