@article{fdi:010062225,
  title = {{R}evisiting a universal airborne light detection and ranging approach for tropical forest carbon mapping : scaling-up from tree to stand to landscape},
  author = {{V}incent, {G}r{\'e}goire and {S}abatier, {D}aniel and {R}utishauser, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}irborne laser scanning provides continuous coverage mapping of forest canopy height and thereby is a powerful tool to scale-up above-ground biomass ({AGB}) estimates from stand to landscape. {A} critical first step is the selection of the plot variables which can be related to light detection and ranging ({L}i{DAR}) statistics. {A} universal approach was previously proposed which combines local and regional estimates of basal area ({BA}) and wood density with {L}i{DAR}-derived canopy height to map carbon at a regional scale ({A}sner et al. in {O}ecologia 168:1147-1160, 2012). {H}ere we explore the contribution of stem diameter distribution, specific wood density and height-diameter ({H}-{D}) allometry to forest stand {AGB} and propose an alternative model. {B}y applying the new model to a large tropical forest data set we show that an appropriate choice of input variables is essential to minimize prediction error of stand {AGB} which will propagate at larger scale. {S}tem number ({N}) and average stem cross-sectional area should be used instead of {BA} when scaling from tree to plot. {S}tand quadratic mean diameter above the census threshold diameter size should be preferred over stand mean diameter as it reduces the prediction error of stand {AGB} by a factor of ten. {W}ood density should be weighted by stem volume per species instead of {BA}. {L}i{DAR}-derived statistics should prove useful for estimating local {H}-{D} allometries as well as mapping {N} and the mean quadratic diameter above 10 cm at the landscape level. {P}rior stratification into forest types is likely to improve both estimation procedures significantly and is considered the foremost current challenge.},
  keywords = {{F}orest canopy height ; {A}bove-ground biomass ; {C}arbon mapping ; {R}egional ; scale ; {A}llometry},
  booktitle = {},
  journal = {{O}ecologia},
  volume = {175},
  numero = {2},
  pages = {439--443},
  ISSN = {0029-8549},
  year = {2014},
  DOI = {10.1007/s00442-014-2913-y},
  URL = {https://www.documentation.ird.fr/hor/fdi:010062225},
}