@article{fdi:010066946,
  title = {{E}xtended biomass allometric equations for large mangrove trees from terrestrial {L}i{DAR} data},
  author = {{O}lagoke, {A}. and {P}roisy, {C}hristophe and {F}{\'e}ret, {J}. {B}. and {B}lanchard, {E}lodie and {F}romard, {F}. and {M}ehlig, {U}. and de {M}enezes, {M}. {M}. and dos {S}antos, {V}. {F}. and {B}erger, {U}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e estimated aboveground biomass of large mangrove trees from terrestrial {L}idar measurements. {T}his makes the first attempt to extend mangrove biomass equations validity range to trunk diameter reaching 125 cm. {A}ccurately determining biomass of large trees is crucial for reliable biomass analyses in most tropical forests, but most allometric models calibration are deficient in large trees data. {T}his issue is a major concern for high-biomass mangrove forests, especially when their role in the ecosystem carbon storage is considered. {A}s an alternative to the fastidious cutting and weighing measurement approach, we explored a non-destructive terrestrial laser scanning approach to estimate the aboveground biomass of large mangroves (diameters reaching up to 125 cm). {B}ecause of buttresses in large trees, we propose a pixel-based analysis of the composite 2{D} flattened images, obtained from the successive thin segments of stem point-cloud data to estimate wood volume. {B}ranches were considered as successive best-fitted primitive of conical frustums. {T}he product of wood volume and height-decreasing wood density yielded biomass estimates. {T}his approach was tested on 36 {A}. germinans trees in {F}rench {G}uiana, considering available biomass models from the same region as references. {O}ur biomass estimates reached ca. 90 % accuracy and a correlation of 0.99 with reference biomass values. {B}ased on the results, new tree biomass model, which had {R} (2) of 0.99 and {RSE} of 87.6 kg of dry matter. {T}his terrestrial {L}i{DAR}-based approach allows the estimates of large tree biomass to be tractable, and opens new opportunities to improve biomass estimates of tall mangroves. {T}he method could also be tested and applied to other tree species.},
  keywords = {{A}boveground biomass ; {C}oastal blue carbon ; {F}rench {G}uiana ; {M}angrove ; {T}errestrial {L}i{DAR} ; {T}ree allometry ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{T}rees : {S}tructure and {F}unction},
  volume = {30},
  numero = {3},
  pages = {935--947},
  ISSN = {0931-1890},
  year = {2016},
  DOI = {10.1007/s00468-015-1334-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066946},
}