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Improved allometric models to estimate the aboveground biomass of tropical trees

Chave Jérôme, Rejou-Mechain Maxime, Burquez Alberto, Chidumayo Emmanuel N., Colgan Matthew S., Delitti Welington B.C., Duque Alvaro, Eid Tron, Fearnside P.M., Goodman Rosa C., Henry Matieu, Martinez-Yrizar Angelina, Mugasha Wilson A., Muller-Landau Hélène C., Mencuccini M., Nelson Bruce N., Ngomanda Alfred, Nogueira Euler M., Ortiz-Malavassi Edgar, Pélissier Raphaël, Ploton Pierre, Ryan Casey M., Saldarriaga Juan G., Vieilledent Ghislain. 2014. Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology, 20 (10) : pp. 3177-3190.

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Quartile : Outlier, Sujet : ENVIRONMENTAL SCIENCES / Quartile : Outlier, Sujet : BIODIVERSITY CONSERVATION / Quartile : Outlier, Sujet : ECOLOGY

Abstract : Terrestrial carbon stock mapping is important for the successful implementation of climate change mitigation policies. Its accuracy depends on the availability of reliable allometric models to infer oven-dry aboveground biomass of trees from census data. The degree of uncertainty associated with previously published pantropical aboveground biomass allometries is large. We analyzed a global database of directly harvested trees at 58 sites, spanning a wide range of climatic conditions and vegetation types (4004 trees = 5 cm trunk diameter). When trunk diameter, total tree height, and wood specific gravity were included in the aboveground biomass model as covariates, a single model was found to hold across tropical vegetation types, with no detectable effect of region or environmental factors. The mean percent bias and variance of this model was only slightly higher than that of locally fitted models. Wood specific gravity was an important predictor of aboveground biomass, especially when including a much broader range of vegetation types than previous studies. The generic tree diameter-height relationship depended linearly on a bioclimatic stress variable E, which compounds indices of temperature variability, precipitation variability, and drought intensity. For cases in which total tree height is unavailable for aboveground biomass estimation, a pantropical model incorporating wood density, trunk diameter, and the variable E outperformed previously published models without height. However, to minimize bias, the development of locally derived diameter-height relationships is advised whenever possible. Both new allometric models should contribute to improve the accuracy of biomass assessment protocols in tropical vegetation types, and to advancing our understanding of architectural and evolutionary constraints on woody plant development. (Résumé d'auteur)

Mots-clés Agrovoc : forêt tropicale, Modèle mathématique, Modèle de simulation, Biomasse, Carbone, Évaluation des stocks, Stockage, Mesure, Hauteur, Arbre, Changement climatique, Zone climatique, atténuation des effets du changement climatique, séquestration du carbone, Allométrie, Forêt, Forêt tropicale humide, Zone tropicale

Classification Agris : U10 - Mathematical and statistical methods
P40 - Meteorology and climatology
K01 - Forestry - General aspects

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

Auteurs et affiliations

  • Chave Jérôme, CNRS (FRA)
  • Rejou-Mechain Maxime, CIRAD-BIOS-UMR AMAP (FRA)
  • Burquez Alberto, UNAM (MEX)
  • Chidumayo Emmanuel N., Makeni Savanna Research Project (ZMB)
  • Colgan Matthew S., Carnegie Institution of Washington (USA)
  • Delitti Welington B.C., Universidade de São Paulo (BRA)
  • Duque Alvaro, Universidad Nacional de Colombia (COL)
  • Eid Tron, Norwegian University of Life Sciences (NOR)
  • Fearnside P.M., National Institute for Research in the Amazon (BRA)
  • Goodman Rosa C., University of Leeds (GBR)
  • Henry Matieu, FAO (ITA)
  • Martinez-Yrizar Angelina, UNAM (MEX)
  • Mugasha Wilson A., Norwegian University of Life Sciences (NOR)
  • Muller-Landau Hélène C., Smithsonian Tropical Research Institute (PAN)
  • Mencuccini M., University of Edinburgh (GBR)
  • Nelson Bruce N., National Institute for Research in the Amazon (BRA)
  • Ngomanda Alfred, IRET (GAB)
  • Nogueira Euler M., National Institute for Research in the Amazon (BRA)
  • Ortiz-Malavassi Edgar, Instituto Tecnológico de Costa Rica (CRI)
  • Pélissier Raphaël, IRD (FRA)
  • Ploton Pierre, IRD (FRA)
  • Ryan Casey M., University of Edinburgh (GBR)
  • Saldarriaga Juan G.
  • Vieilledent Ghislain, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-1685-4997

Source : Cirad - Agritrop (https://agritrop.cirad.fr/574132/)

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