@article{fdi:010071003,
  title = {{BIOMASS} : an {R} package for estimating above-ground biomass and its uncertainty in tropical forests},
  author = {{R}{\'e}jou-{M}{\'e}chain, {M}axime and {T}anguy, {A}. and {P}iponiot, {C}. and {C}have, {J}. and {H}{\'e}rault, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {1. {E}stimating forest above-ground biomass ({AGB}), or carbon ({AGC}), in tropical forests has become a major concern for scientists and stakeholders. {H}owever, {AGB} assessment procedures are not fully standardized and even more importantly, the uncertainty associated with {AGB} estimates is seldom assessed. 2. {H}ere, we present an {R} package designed to compute both {AGB}/{AGC} estimate and its associated uncertainty from forest plot datasets, using a {B}ayesian inference procedure. {T}he package builds upon previous work on pantropical and regional biomass allometric equations and published datasets by default, but it can also integrate unpublished or complementary datasets in many steps. 3. {BIOMASS} performs a number of standard tasks on input forest tree inventories: (i) tree species identification, if available, is automatically corrected; (ii) wood density is estimated from tree species identity; (iii) if height data are available, a local height-diameter allometry may be built; else height is inferred from pantropical or regional models; (iv) finally, {AGB}/{AGC} are estimated by propagating the errors associated with all the calculation steps up to the final estimate. {R} code is given in the paper and in the appendix for the purpose of illustration. 4. {T}he {BIOMASS} package should contribute to improved standards for {AGB} calculation for tropical forest stands, and will encourage users to report the uncertainties associated with stand-level {AGB}/{AGC} estimates in future studies.},
  keywords = {allometry ; error propagation ; forest carbon ; height-diameter ; relationship ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {8},
  numero = {9},
  pages = {1163--1167},
  ISSN = {2041-210{X}},
  year = {2017},
  DOI = {10.1111/2041-210x.12753},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071003},
}