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Title: Improved allometric models to estimate the aboveground biomass of tropical trees
Authors: Chave, Jérôme
Réjou-Méchain, Maxime
Búrquez, Alberto
Chidumayo, Emmanuel Ngulube
Colgan, Matthew S.
Delitti, Welington Bráz Carvalho
Duque M, Alvaro J.
Eid, Tron Haakon
Fearnside, Philip Martin
Goodman, Rosa C.
Henry, Matieu
Martínez Yrízar, Angelina
Mugasha, Wilson Ancelm
Muller-Landau, Helene C.
Mencuccini, Maurizio
Nelson, Bruce Walker
Ngomanda, Alfred
Nogueira, Euler Melo
Ortíz-Malavassi, Edgar
Pélissier, Raphaël
Ploton, Pierre
Ryan, Casey M.
Saldarriaga, Juan Guillermo
Vieilledent, Ghislain
Keywords: Aboveground Biomass
Carbon Cycle
Estimation Method
Forest Inventory
Height Determination
Vegetation Type
Biological Model
Environmental Monitoring
Regression Analysis
Relative Density
Theoretical Model
Tropic Climate
Environmental Monitoring
Models, Biological
Models, Theoretical
Regression Analysis
Specific Gravity
Tropical Climate
Issue Date: 2014
metadata.dc.publisher.journal: Global Change Biology
metadata.dc.relation.ispartof: Volume 20, Número 10, Pags. 3177-3190
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. © 2014 John Wiley & Sons Ltd.
metadata.dc.identifier.doi: 10.1111/gcb.12629
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