<scp>biomass</scp>: an <scp>r</scp> package for estimating above‐ground biomass and its uncertainty in tropical forests

  • Maxime Réjou‐Méchain
    French Institute of Pondicherry UMIFRE 21/USR 3330 CNRS‐MAEE Pondicherry India
  • Ariane Tanguy
    French Institute of Pondicherry UMIFRE 21/USR 3330 CNRS‐MAEE Pondicherry India
  • Camille Piponiot
    Université de la Guyane UMR ‘Ecologie des Forêts de Guyane’ (AgroparisTech, Cirad, CNRS, Inra, Université des Antilles) Kourou Cedex F‐97379 French Guiana
  • Jérôme Chave
    Laboratoire Evolution et Diversité Biologique UMR 5174 CNRS Université Paul Sabatier 118 route de Narbonne 31062 Toulouse France
  • Bruno Hérault
    Cirad UMR ‘Ecologie des Forêts de Guyane’ (AgroparisTech, CNRS, Inra, Université de Guyane, Université des Antilles) Kourou Cedex F‐97379 French Guiana

説明

<jats:title>Summary</jats:title><jats:p> <jats:list> <jats:list-item><jats:p>Estimating forest above‐ground biomass (<jats:styled-content style="fixed-case">AGB</jats:styled-content>), or carbon (<jats:styled-content style="fixed-case">AGC</jats:styled-content>), in tropical forests has become a major concern for scientists and stakeholders. However, <jats:styled-content style="fixed-case">AGB</jats:styled-content> assessment procedures are not fully standardized and even more importantly, the uncertainty associated with <jats:styled-content style="fixed-case">AGB</jats:styled-content> estimates is seldom assessed.</jats:p></jats:list-item> <jats:list-item><jats:p>Here, we present an <jats:sc>r</jats:sc> package designed to compute both <jats:styled-content style="fixed-case">AGB</jats:styled-content>/<jats:styled-content style="fixed-case">AGC</jats:styled-content> 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on pantropical and regional biomass allometric equations and published datasets by default, but it can also integrate unpublished or complementary datasets in many steps.</jats:p></jats:list-item> <jats:list-item><jats:p><jats:styled-content>BIOMASS</jats:styled-content> 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, <jats:styled-content style="fixed-case">AGB</jats:styled-content>/<jats:styled-content style="fixed-case">AGC</jats:styled-content> 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.</jats:p></jats:list-item> <jats:list-item> <jats:p>The <jats:styled-content>BIOMASS</jats:styled-content> package should contribute to improved standards for <jats:styled-content style="fixed-case">AGB</jats:styled-content> calculation for tropical forest stands, and will encourage users to report the uncertainties associated with stand‐level <jats:styled-content style="fixed-case">AGB</jats:styled-content>/<jats:styled-content style="fixed-case">AGC</jats:styled-content> estimates in future studies.</jats:p> </jats:list-item> </jats:list> </jats:p>

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