Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/14898
Título: Tree height integrated into pantropical forest biomass estimates
Autor: Feldpausch, Ted R.
Lloyd, Jon
Lewis, Simon L.
Brienen, Roel J.W.
Gloor, Manuel E.
Monteagudo-Mendoza, Abel
Lopez-Gonzalez, Gabriela
Banin, Lindsay F.
Salim, Kamariah Abu
Affum-Baffoe, Kofi
Alexiades, Miguel N.
Almeida, Samuel Miranda
Amaral, Iêda Leão do
Andrade, Ana C.S.
Aragao, L. E.O.C.
Araujo-Murakami, Alejandro
Arets, Eric J.M.M.
Arroyo, Luzmila P.
Aymard-C, Gerardo A.
Baker, Timothy R.
Bánki, Olaf S.
Berry, Nicholas J.
Cardozo, Nallaret Dávila
Chave, Jérôme
Comiskey, James A.
Alvarez, Esteban
Oliveira, Átila Cristina Alves de
Di Fiore, Anthony
Djagbletey, Gloria Djaney
null, Tomas
Erwin, Terry L.
Fearnside, Philip Martin
França, Mabiane Batista
Freitas, Maria Antonio Benjamin
Higuchi, Niro
Honorio Coronado, Euridice N.
Iida, Yoshiko
Jiménez, E. M.
Kassim, Abd Rahman
Killeen, Timothy J.
Laurance, William F.
Lovett, Jon C.
Malhi, Yadvinder Singh
Marimon, Beatriz Schwantes
Marimon Júnior, Ben Hur
Lenza, Eddie
Marshall, Andrew Robert
Mendoza, Casimiro
Metcalfe, Daniel J.
Mitchard, Edward T.A.
Neill, David A.
Nelson, Bruce Walker
Nilus, Reuben
Nogueira, Euler Melo
Parada, Alexander G.
S.-H Peh, K.
Peña-Cruz, Antonio
Peñuela, María Cristina
Pitman, Nigel C.A.
Prieto, Adriana
Quesada, Carlos Alberto
Ramirez Arevalo, Fredy Francisco
Ramírez-Angulo, Hirma
Reitsma, Jan M.
Rudas, Agustín
Saiz, Gustavo
Salomão, Rafael Paiva
Schwarz, Michael
Silva, Natalino
Silva-Espejo, Javier Eduardo
Silveira, Marcos
Sonké, Bonaventure
Stropp, Juliana
Taedoumg, Hermann E.
Tan, Sylvester Kheng San
ter Steege, H.
Terborgh, John W.
Torello-Raventos, Mireia
Van Der Heijden, Geertje M.F.
Vásquez, Rodolfo V.
Vilanova, Emilio
Vos, Vincent A.
White, Lee J.T.
Willcock, Simon
Hannsjorg, Woell,
Phillips, Oliver L.
Palavras-chave: Aboveground Biomass
Allometry
Carbon Sequestration
Deforestation
Ecological Modeling
Error Analysis
Estimation Method
Forest Ecosystem
Height
Tree
Tropical Forest
Uncertainty Analysis
Brazilian Shield
Guyana Shield
Data do documento: 2012
Revista: Biogeosciences
É parte de: Volume 9, Número 8, Pags. 3381-3403
Abstract: Aboveground tropical tree biomass and carbon storage estimates commonly ignore tree height (H). We estimate the effect of incorporating H on tropics-wide forest biomass estimates in 327 plots across four continents using 42 656 H and diameter measurements and harvested trees from 20 sites to answer the following questions: ; 1. What is the best H-model form and geographic unit to include in biomass models to minimise site-level uncertainty in estimates of destructive biomass? ; 2. To what extent does including H estimates derived in (1) reduce uncertainty in biomass estimates across all 327 plots? ; 3. What effect does accounting for H have on plot- and continental-scale forest biomass estimates? ; The mean relative error in biomass estimates of destructively harvested trees when including H (mean 0.06), was half that when excluding H (mean 0.13). Power- and Weibull-H models provided the greatest reduction in uncertainty, with regional Weibull-H models preferred because they reduce uncertainty in smaller-diameter classes (≤40 cm D) that store about one-third of biomass per hectare in most forests. Propagating the relationships from destructively harvested tree biomass to each of the 327 plots from across the tropics shows that including H reduces errors from 41.8 Mg ha-1 (range 6.6 to 112.4) to 8.0 Mg ha-1 (-2.5 to 23.0). For all plots, aboveground live biomass was -52.2 Mg ha-1 (-82.0 to -20.3 bootstrapped 95% CI), or 13%, lower when including H estimates, with the greatest relative reductions in estimated biomass in forests of the Brazilian Shield, east Africa, and Australia, and relatively little change in the Guiana Shield, central Africa and southeast Asia. Appreciably different stand structure was observed among regions across the tropical continents, with some storing significantly more biomass in small diameter stems, which affects selection of the best height models to reduce uncertainty and biomass reductions due to H. After accounting for variation in H, total biomass per hectare is greatest in Australia, the Guiana Shield, Asia, central and east Africa, and lowest in east-central Amazonia, W. Africa, W. Amazonia, and the Brazilian Shield (descending order). Thus, if tropical forests span 1668 million km2 and store 285 Pg C (estimate including H), then applying our regional relationships implies that carbon storage is overestimated by 35 Pg C (31-39 bootstrapped 95% CI) if H is ignored, assuming that the sampled plots are an unbiased statistical representation of all tropical forest in terms of biomass and height factors. Our results show that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions due to deforestation. © 2012 Author(s).
DOI: 10.5194/bg-9-3381-2012
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