Tree height integrated into pantropical forest biomass estimates
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/14898 |
Resumo: | 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). |
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Feldpausch, Ted R.Lloyd, JonLewis, Simon L.Brienen, Roel J.W.Gloor, Manuel E.Monteagudo-Mendoza, AbelLopez-Gonzalez, GabrielaBanin, Lindsay F.Salim, Kamariah AbuAffum-Baffoe, KofiAlexiades, Miguel N.Almeida, Samuel MirandaAmaral, Iêda Leão doAndrade, Ana C.S.Aragao, L. E.O.C.Araujo-Murakami, AlejandroArets, Eric J.M.M.Arroyo, Luzmila P.Aymard-C, Gerardo A.Baker, Timothy R.Bánki, Olaf S.Berry, Nicholas J.Cardozo, Nallaret DávilaChave, JérômeComiskey, James A.Alvarez, EstebanOliveira, Átila Cristina Alves deDi Fiore, AnthonyDjagbletey, Gloria Djaneynull, TomasErwin, Terry L.Fearnside, Philip MartinFrança, Mabiane BatistaFreitas, Maria Antonio BenjaminHiguchi, NiroHonorio Coronado, Euridice N.Iida, YoshikoJiménez, E. M.Kassim, Abd RahmanKilleen, Timothy J.Laurance, William F.Lovett, Jon C.Malhi, Yadvinder SinghMarimon, Beatriz SchwantesMarimon Júnior, Ben HurLenza, EddieMarshall, Andrew RobertMendoza, CasimiroMetcalfe, Daniel J.Mitchard, Edward T.A.Neill, David A.Nelson, Bruce WalkerNilus, ReubenNogueira, Euler MeloParada, Alexander G.S.-H Peh, K.Peña-Cruz, AntonioPeñuela, María CristinaPitman, Nigel C.A.Prieto, AdrianaQuesada, Carlos AlbertoRamirez Arevalo, Fredy FranciscoRamírez-Angulo, HirmaReitsma, Jan M.Rudas, AgustínSaiz, GustavoSalomão, Rafael PaivaSchwarz, MichaelSilva, NatalinoSilva-Espejo, Javier EduardoSilveira, MarcosSonké, BonaventureStropp, JulianaTaedoumg, Hermann E.Tan, Sylvester Kheng Santer Steege, H.Terborgh, John W.Torello-Raventos, MireiaVan Der Heijden, Geertje M.F.Vásquez, Rodolfo V.Vilanova, EmilioVos, Vincent A.White, Lee J.T.Willcock, SimonHannsjorg, Woell,Phillips, Oliver L.2020-05-07T13:47:16Z2020-05-07T13:47:16Z2012https://repositorio.inpa.gov.br/handle/1/1489810.5194/bg-9-3381-2012Aboveground 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).Volume 9, Número 8, Pags. 3381-3403Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAboveground BiomassAllometryCarbon SequestrationDeforestationEcological ModelingError AnalysisEstimation MethodForest EcosystemHeightTreeTropical ForestUncertainty AnalysisBrasilBrazilian ShieldGuyana ShieldTree height integrated into pantropical forest biomass estimatesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBiogeosciencesengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf2513179https://repositorio.inpa.gov.br/bitstream/1/14898/1/artigo-inpa.pdf0a3e73c055556a537476ea2eb6aba472MD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14898/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/148982020-07-14 10:28:12.822oai:repositorio:1/14898Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T14:28:12Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Tree height integrated into pantropical forest biomass estimates |
title |
Tree height integrated into pantropical forest biomass estimates |
spellingShingle |
Tree height integrated into pantropical forest biomass estimates Feldpausch, Ted R. Aboveground Biomass Allometry Carbon Sequestration Deforestation Ecological Modeling Error Analysis Estimation Method Forest Ecosystem Height Tree Tropical Forest Uncertainty Analysis Brasil Brazilian Shield Guyana Shield |
title_short |
Tree height integrated into pantropical forest biomass estimates |
title_full |
Tree height integrated into pantropical forest biomass estimates |
title_fullStr |
Tree height integrated into pantropical forest biomass estimates |
title_full_unstemmed |
Tree height integrated into pantropical forest biomass estimates |
title_sort |
Tree height integrated into pantropical forest biomass estimates |
author |
Feldpausch, Ted R. |
author_facet |
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. |
author_role |
author |
author2 |
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. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
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. |
dc.subject.eng.fl_str_mv |
Aboveground Biomass Allometry Carbon Sequestration Deforestation Ecological Modeling Error Analysis Estimation Method Forest Ecosystem Height Tree Tropical Forest Uncertainty Analysis Brasil Brazilian Shield Guyana Shield |
topic |
Aboveground Biomass Allometry Carbon Sequestration Deforestation Ecological Modeling Error Analysis Estimation Method Forest Ecosystem Height Tree Tropical Forest Uncertainty Analysis Brasil Brazilian Shield Guyana Shield |
description |
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). |
publishDate |
2012 |
dc.date.issued.fl_str_mv |
2012 |
dc.date.accessioned.fl_str_mv |
2020-05-07T13:47:16Z |
dc.date.available.fl_str_mv |
2020-05-07T13:47:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/14898 |
dc.identifier.doi.none.fl_str_mv |
10.5194/bg-9-3381-2012 |
url |
https://repositorio.inpa.gov.br/handle/1/14898 |
identifier_str_mv |
10.5194/bg-9-3381-2012 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 9, Número 8, Pags. 3381-3403 |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
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openAccess |
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Biogeosciences |
publisher.none.fl_str_mv |
Biogeosciences |
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Repositório Institucional do INPA |
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