@article{fdi:010076643,
  title = {{A}llometric models to estimate leaf area for {T}ropical {A}frican broadleaved forests},
  author = {{S}irri, {N}. {F}. and {L}ibalah, {M}. {B}. and {T}akoudjou, {S}. {M}. and {P}loton, {P}ierre and {M}edjibe, {V}. and {K}amdem, {N}. {G}. and {M}ofack, {G}. and {S}onke, {B}. and {B}arbier, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{D}irect and semidirect estimations of leaf area ({LA}) and leaf area index ({LAI}) are scarce in dense tropical forests despite their importance in calibrating remote sensing products, forest dynamics, and biogeochemical models. {W}e destructively sampled 61 trees belonging to 13 most abundant species in a semideciduous forest in southeastern {C}ameroon. {F}or each tree, all leaves were weighed, and for a subsample of branches, leaves were counted and the {LA} measured. {A}llometric models were calibrated to allow semidirect estimation of {LAI} at tree and stand levels based on forest inventory data ({R}-2 = 0.7, bias = 21.2%, error = 39.5%) and on predictors that could be extracted from very high resolution remote sensing data ({R}-2 = 0.63, bias = 35.1%, error = 58.73). {U}sing twenty-one 1-ha forest plots, stand level estimations of {LAI} ranged from 4.42-13.99. {T}hese values are higher than previous estimates generally obtained using indirect methods. {T}hese results may have important consequences on ecosystem exchanges and the role of tropical forest in global cycles. {P}lain {L}anguage {S}ummary {L}eaf area ({LA}) and leaf area index ({LAI}) are useful parameters characterizing the plant-atmosphere interface where matter and energy are exchanged. {H}owever, direct or semidirect estimations are not common in dense tropical forests. {I}n this study, we used a destructive data set of trees of varied species and sizes from the semideciduous forest of southeastern {C}ameroon to predict total tree {LA}. {B}ased on this data, we developed operational allometric models to allow for semidirect estimation of {LA} and {LAI} at tree and stand levels. {T}hese models would be of considerable use for climate-vegetation modeling and remote sensing communities.},
  keywords = {{ZONE} {TROPICALE} ; {AFRIQUE}},
  booktitle = {},
  journal = {{G}eophysical {R}esearch {L}etters},
  volume = {46},
  numero = {15},
  pages = {8985--8994},
  ISSN = {0094-8276},
  year = {2019},
  DOI = {10.1029/2019gl083514},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076643},
}