@article{fdi:010072734,
  title = {{U}sing terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models : a comparison with traditional destructive approach},
  author = {{T}akoudjou, {S}. {M}. and {P}loton, {P}ierre and {S}onke, {B}. and {H}ackenberg, {J}. and {G}riffon, {S}. and de {C}oligny, {F}. and {K}amdem, {N}. {G}. and {L}ibalah, {M}. and {M}ofack, {G}. {I}. and {L}e {M}oguedec, {G}. and {P}{\'e}lissier, {R}apha{\¨e}l and {B}arbier, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {1. {C}alibration of local, regional or global allometric equations to estimate biomass at the tree level constitutes a significant burden on projects aiming at reducing {C}arbon emissions from forest degradation and deforestation. {T}he objective of this contribution is to assess the precision and accuracy of {T}errestrial {L}aser {S}canning ({TLS}) for estimating volumes and above-ground biomass ({AGB}) of the woody parts of tropical trees, and for the calibration of allometric models. 2. {W}e used a destructive dataset of 61 trees, with diameters and {AGB} of up to 186.6 cm and 60 {M}g respectively, which were scanned, felled and weighed in the semi-deciduous forests of eastern {C}ameroon. {W}e present an operational approach based on available software allowing the retrieving of {TLS} volume with low bias and high accuracy for large tropical trees. {E}dition of the obtained models proved necessary, mainly to account for the complexity of buttressed parts of tree trunks, which were separately modelled through a meshing approach, and to bring a few corrections in the topology and geometry of branches, thanks to the amapstudio-scan software. 3. {O}ver the entire dataset, {TLS}-derived volumes proved highly reliable for branches larger than 5cm in diameter. {T}he volumes of the remaining woody parts estimated for stumps, stems and crowns as well as for the whole tree proved very accurate ({RMSE} below 2.81% and {R}-2 above of .98) and unbiased. {O}nce converted into {AGB} using mean local-specific wood density values, {TLS} estimates allowed calibrating a biomass allometric model with coefficients statistically undistinguishable from those of a model based on destructive data. {T}he {U}nedited {Q}uantitative {S}tructure {M}odel ({QSM}) however leads to systematic overestimations of woody volumes and subsequently to significantly different allometric parameters. 4. {W}e can therefore conclude that a non-destructive {TLS} approach can now be used as an operational alternative to traditional destructive sampling to build the allometric equations, although attention must be paid to the quality of {QSM} model adjustments to avoid systematic bias.},
  keywords = {above-ground biomass ; allometric equation ; {C}entral {A}frica ; {C}ongo {B}asin ; {REDD} ; terrestrial-laser scanner ; tropical forest trees ; {CAMEROUN} ; {CONGO} {BASSIN}},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {9},
  numero = {4},
  pages = {905--916},
  ISSN = {2041-210{X}},
  year = {2018},
  DOI = {10.1111/2041-210x.12933},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072734},
}