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BIOMASS: An R package for estimating above-ground biomass and its uncertainty in tropical forests

Rejou-Mechain Maxime, Tanguy Ariane, Piponiot-Laroche Camille, Chave Jérôme, Hérault Bruno. 2017. BIOMASS: An R package for estimating above-ground biomass and its uncertainty in tropical forests. Methods in Ecology and Evolution, 8 (9) : pp. 1163-1167.

Journal article ; Article de revue à facteur d'impact
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R-jou-M-chain_et_al-2017-Methods_in_Ecology_and_Evolution.pdf

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R-jou-M-chain_et_al-2017-Methods.pdf

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Quartile : Q1, Sujet : ECOLOGY

Abstract : Estimating forest above-ground biomass (AGB), or carbon (AGC), in tropical forests has become a major concern for scientists and stakeholders. However, AGB assessment procedures are not fully standardized and even more importantly, the uncertainty associated with AGB estimates is seldom assessed. Here, we present an r package designed to compute both AGB/AGC estimate and its associated uncertainty from forest plot datasets, using a Bayesian inference procedure. The 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on pantropical and regional biomass allometric equations and published datasets by default, but it can also integrate unpublished or complementary datasets in many steps. 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. The 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. (Résumé d'auteur)

Mots-clés Agrovoc : Forêt, forêt tropicale, Biomasse, biomasse aérienne des arbres, Cycle du carbone, séquestration du carbone, Allométrie, Densité, Propriété physicochimique, inventaire forestier continu, Inventaire forestier, Accroissement du diamètre, Croissance, peuplement forestier

Mots-clés complémentaires : Densité du bois

Classification Agris : K01 - Forestry - General aspects
F40 - Plant ecology
U30 - Research methods
F62 - Plant physiology - Growth and development
K50 - Processing of forest products

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Rejou-Mechain Maxime, French Institute of Pondicherry (IND)
  • Tanguy Ariane, French Institute of Pondicherry (IND)
  • Piponiot-Laroche Camille, CIRAD-ES-UMR Ecofog (GUF)
  • Chave Jérôme, CNRS (FRA)
  • Hérault Bruno, CIRAD-ES-UMR Ecofog (GUF) ORCID: 0000-0002-6950-7286

Source : Cirad-Agritrop (https://agritrop.cirad.fr/584250/)

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