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Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models

Understanding the processes that determine above‐ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody product...

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Autores principales: Johnson, Michelle O., Galbraith, David, Gloor, Manuel, De Deurwaerder, Hannes, Guimberteau, Matthieu, Rammig, Anja, Thonicke, Kirsten, Verbeeck, Hans, von Randow, Celso, Monteagudo, Abel, Phillips, Oliver L., Brienen, Roel J. W., Feldpausch, Ted R., Lopez Gonzalez, Gabriela, Fauset, Sophie, Quesada, Carlos A., Christoffersen, Bradley, Ciais, Philippe, Sampaio, Gilvan, Kruijt, Bart, Meir, Patrick, Moorcroft, Paul, Zhang, Ke, Alvarez‐Davila, Esteban, Alves de Oliveira, Atila, Amaral, Ieda, Andrade, Ana, Aragao, Luiz E. O. C., Araujo‐Murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Aymard, Gerardo A., Baraloto, Christopher, Barroso, Jocely, Bonal, Damien, Boot, Rene, Camargo, Jose, Chave, Jerome, Cogollo, Alvaro, Cornejo Valverde, Fernando, Lola da Costa, Antonio C., Di Fiore, Anthony, Ferreira, Leandro, Higuchi, Niro, Honorio, Euridice N., Killeen, Tim J., Laurance, Susan G., Laurance, William F., Licona, Juan, Lovejoy, Thomas, Malhi, Yadvinder, Marimon, Bia, Marimon, Ben Hur, Matos, Darley C. L., Mendoza, Casimiro, Neill, David A., Pardo, Guido, Peña‐Claros, Marielos, Pitman, Nigel C. A., Poorter, Lourens, Prieto, Adriana, Ramirez‐Angulo, Hirma, Roopsind, Anand, Rudas, Agustin, Salomao, Rafael P., Silveira, Marcos, Stropp, Juliana, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Toledo, Marisol, Torres‐Lezama, Armando, van der Heijden, Geertje M. F., Vasquez, Rodolfo, Guimarães Vieira, Ima Cèlia, Vilanova, Emilio, Vos, Vincent A., Baker, Timothy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849555/
https://www.ncbi.nlm.nih.gov/pubmed/27082541
http://dx.doi.org/10.1111/gcb.13315
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author Johnson, Michelle O.
Galbraith, David
Gloor, Manuel
De Deurwaerder, Hannes
Guimberteau, Matthieu
Rammig, Anja
Thonicke, Kirsten
Verbeeck, Hans
von Randow, Celso
Monteagudo, Abel
Phillips, Oliver L.
Brienen, Roel J. W.
Feldpausch, Ted R.
Lopez Gonzalez, Gabriela
Fauset, Sophie
Quesada, Carlos A.
Christoffersen, Bradley
Ciais, Philippe
Sampaio, Gilvan
Kruijt, Bart
Meir, Patrick
Moorcroft, Paul
Zhang, Ke
Alvarez‐Davila, Esteban
Alves de Oliveira, Atila
Amaral, Ieda
Andrade, Ana
Aragao, Luiz E. O. C.
Araujo‐Murakami, Alejandro
Arets, Eric J. M. M.
Arroyo, Luzmila
Aymard, Gerardo A.
Baraloto, Christopher
Barroso, Jocely
Bonal, Damien
Boot, Rene
Camargo, Jose
Chave, Jerome
Cogollo, Alvaro
Cornejo Valverde, Fernando
Lola da Costa, Antonio C.
Di Fiore, Anthony
Ferreira, Leandro
Higuchi, Niro
Honorio, Euridice N.
Killeen, Tim J.
Laurance, Susan G.
Laurance, William F.
Licona, Juan
Lovejoy, Thomas
Malhi, Yadvinder
Marimon, Bia
Marimon, Ben Hur
Matos, Darley C. L.
Mendoza, Casimiro
Neill, David A.
Pardo, Guido
Peña‐Claros, Marielos
Pitman, Nigel C. A.
Poorter, Lourens
Prieto, Adriana
Ramirez‐Angulo, Hirma
Roopsind, Anand
Rudas, Agustin
Salomao, Rafael P.
Silveira, Marcos
Stropp, Juliana
ter Steege, Hans
Terborgh, John
Thomas, Raquel
Toledo, Marisol
Torres‐Lezama, Armando
van der Heijden, Geertje M. F.
Vasquez, Rodolfo
Guimarães Vieira, Ima Cèlia
Vilanova, Emilio
Vos, Vincent A.
Baker, Timothy R.
author_facet Johnson, Michelle O.
Galbraith, David
Gloor, Manuel
De Deurwaerder, Hannes
Guimberteau, Matthieu
Rammig, Anja
Thonicke, Kirsten
Verbeeck, Hans
von Randow, Celso
Monteagudo, Abel
Phillips, Oliver L.
Brienen, Roel J. W.
Feldpausch, Ted R.
Lopez Gonzalez, Gabriela
Fauset, Sophie
Quesada, Carlos A.
Christoffersen, Bradley
Ciais, Philippe
Sampaio, Gilvan
Kruijt, Bart
Meir, Patrick
Moorcroft, Paul
Zhang, Ke
Alvarez‐Davila, Esteban
Alves de Oliveira, Atila
Amaral, Ieda
Andrade, Ana
Aragao, Luiz E. O. C.
Araujo‐Murakami, Alejandro
Arets, Eric J. M. M.
Arroyo, Luzmila
Aymard, Gerardo A.
Baraloto, Christopher
Barroso, Jocely
Bonal, Damien
Boot, Rene
Camargo, Jose
Chave, Jerome
Cogollo, Alvaro
Cornejo Valverde, Fernando
Lola da Costa, Antonio C.
Di Fiore, Anthony
Ferreira, Leandro
Higuchi, Niro
Honorio, Euridice N.
Killeen, Tim J.
Laurance, Susan G.
Laurance, William F.
Licona, Juan
Lovejoy, Thomas
Malhi, Yadvinder
Marimon, Bia
Marimon, Ben Hur
Matos, Darley C. L.
Mendoza, Casimiro
Neill, David A.
Pardo, Guido
Peña‐Claros, Marielos
Pitman, Nigel C. A.
Poorter, Lourens
Prieto, Adriana
Ramirez‐Angulo, Hirma
Roopsind, Anand
Rudas, Agustin
Salomao, Rafael P.
Silveira, Marcos
Stropp, Juliana
ter Steege, Hans
Terborgh, John
Thomas, Raquel
Toledo, Marisol
Torres‐Lezama, Armando
van der Heijden, Geertje M. F.
Vasquez, Rodolfo
Guimarães Vieira, Ima Cèlia
Vilanova, Emilio
Vos, Vincent A.
Baker, Timothy R.
author_sort Johnson, Michelle O.
collection PubMed
description Understanding the processes that determine above‐ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity [woody net primary productivity (NPP)] and the rate at which carbon is lost through tree mortality. Here, we test whether two direct metrics of tree mortality (the absolute rate of woody biomass loss and the rate of stem mortality) and/or woody NPP, control variation in AGB among 167 plots in intact forest across Amazonia. We then compare these relationships and the observed variation in AGB and woody NPP with the predictions of four DGVMs. The observations show that stem mortality rates, rather than absolute rates of woody biomass loss, are the most important predictor of AGB, which is consistent with the importance of stand size structure for determining spatial variation in AGB. The relationship between stem mortality rates and AGB varies among different regions of Amazonia, indicating that variation in wood density and height/diameter relationships also influences AGB. In contrast to previous findings, we find that woody NPP is not correlated with stem mortality rates and is weakly positively correlated with AGB. Across the four models, basin‐wide average AGB is similar to the mean of the observations. However, the models consistently overestimate woody NPP and poorly represent the spatial patterns of both AGB and woody NPP estimated using plot data. In marked contrast to the observations, DGVMs typically show strong positive relationships between woody NPP and AGB. Resolving these differences will require incorporating forest size structure, mechanistic models of stem mortality and variation in functional composition in DGVMs.
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spelling pubmed-68495552019-11-15 Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models Johnson, Michelle O. Galbraith, David Gloor, Manuel De Deurwaerder, Hannes Guimberteau, Matthieu Rammig, Anja Thonicke, Kirsten Verbeeck, Hans von Randow, Celso Monteagudo, Abel Phillips, Oliver L. Brienen, Roel J. W. Feldpausch, Ted R. Lopez Gonzalez, Gabriela Fauset, Sophie Quesada, Carlos A. Christoffersen, Bradley Ciais, Philippe Sampaio, Gilvan Kruijt, Bart Meir, Patrick Moorcroft, Paul Zhang, Ke Alvarez‐Davila, Esteban Alves de Oliveira, Atila Amaral, Ieda Andrade, Ana Aragao, Luiz E. O. C. Araujo‐Murakami, Alejandro Arets, Eric J. M. M. Arroyo, Luzmila Aymard, Gerardo A. Baraloto, Christopher Barroso, Jocely Bonal, Damien Boot, Rene Camargo, Jose Chave, Jerome Cogollo, Alvaro Cornejo Valverde, Fernando Lola da Costa, Antonio C. Di Fiore, Anthony Ferreira, Leandro Higuchi, Niro Honorio, Euridice N. Killeen, Tim J. Laurance, Susan G. Laurance, William F. Licona, Juan Lovejoy, Thomas Malhi, Yadvinder Marimon, Bia Marimon, Ben Hur Matos, Darley C. L. Mendoza, Casimiro Neill, David A. Pardo, Guido Peña‐Claros, Marielos Pitman, Nigel C. A. Poorter, Lourens Prieto, Adriana Ramirez‐Angulo, Hirma Roopsind, Anand Rudas, Agustin Salomao, Rafael P. Silveira, Marcos Stropp, Juliana ter Steege, Hans Terborgh, John Thomas, Raquel Toledo, Marisol Torres‐Lezama, Armando van der Heijden, Geertje M. F. Vasquez, Rodolfo Guimarães Vieira, Ima Cèlia Vilanova, Emilio Vos, Vincent A. Baker, Timothy R. Glob Chang Biol Primary Research Articles Understanding the processes that determine above‐ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity [woody net primary productivity (NPP)] and the rate at which carbon is lost through tree mortality. Here, we test whether two direct metrics of tree mortality (the absolute rate of woody biomass loss and the rate of stem mortality) and/or woody NPP, control variation in AGB among 167 plots in intact forest across Amazonia. We then compare these relationships and the observed variation in AGB and woody NPP with the predictions of four DGVMs. The observations show that stem mortality rates, rather than absolute rates of woody biomass loss, are the most important predictor of AGB, which is consistent with the importance of stand size structure for determining spatial variation in AGB. The relationship between stem mortality rates and AGB varies among different regions of Amazonia, indicating that variation in wood density and height/diameter relationships also influences AGB. In contrast to previous findings, we find that woody NPP is not correlated with stem mortality rates and is weakly positively correlated with AGB. Across the four models, basin‐wide average AGB is similar to the mean of the observations. However, the models consistently overestimate woody NPP and poorly represent the spatial patterns of both AGB and woody NPP estimated using plot data. In marked contrast to the observations, DGVMs typically show strong positive relationships between woody NPP and AGB. Resolving these differences will require incorporating forest size structure, mechanistic models of stem mortality and variation in functional composition in DGVMs. John Wiley and Sons Inc. 2016-05-19 2016-12 /pmc/articles/PMC6849555/ /pubmed/27082541 http://dx.doi.org/10.1111/gcb.13315 Text en © 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Primary Research Articles
Johnson, Michelle O.
Galbraith, David
Gloor, Manuel
De Deurwaerder, Hannes
Guimberteau, Matthieu
Rammig, Anja
Thonicke, Kirsten
Verbeeck, Hans
von Randow, Celso
Monteagudo, Abel
Phillips, Oliver L.
Brienen, Roel J. W.
Feldpausch, Ted R.
Lopez Gonzalez, Gabriela
Fauset, Sophie
Quesada, Carlos A.
Christoffersen, Bradley
Ciais, Philippe
Sampaio, Gilvan
Kruijt, Bart
Meir, Patrick
Moorcroft, Paul
Zhang, Ke
Alvarez‐Davila, Esteban
Alves de Oliveira, Atila
Amaral, Ieda
Andrade, Ana
Aragao, Luiz E. O. C.
Araujo‐Murakami, Alejandro
Arets, Eric J. M. M.
Arroyo, Luzmila
Aymard, Gerardo A.
Baraloto, Christopher
Barroso, Jocely
Bonal, Damien
Boot, Rene
Camargo, Jose
Chave, Jerome
Cogollo, Alvaro
Cornejo Valverde, Fernando
Lola da Costa, Antonio C.
Di Fiore, Anthony
Ferreira, Leandro
Higuchi, Niro
Honorio, Euridice N.
Killeen, Tim J.
Laurance, Susan G.
Laurance, William F.
Licona, Juan
Lovejoy, Thomas
Malhi, Yadvinder
Marimon, Bia
Marimon, Ben Hur
Matos, Darley C. L.
Mendoza, Casimiro
Neill, David A.
Pardo, Guido
Peña‐Claros, Marielos
Pitman, Nigel C. A.
Poorter, Lourens
Prieto, Adriana
Ramirez‐Angulo, Hirma
Roopsind, Anand
Rudas, Agustin
Salomao, Rafael P.
Silveira, Marcos
Stropp, Juliana
ter Steege, Hans
Terborgh, John
Thomas, Raquel
Toledo, Marisol
Torres‐Lezama, Armando
van der Heijden, Geertje M. F.
Vasquez, Rodolfo
Guimarães Vieira, Ima Cèlia
Vilanova, Emilio
Vos, Vincent A.
Baker, Timothy R.
Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title_full Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title_fullStr Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title_full_unstemmed Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title_short Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models
title_sort variation in stem mortality rates determines patterns of above‐ground biomass in amazonian forests: implications for dynamic global vegetation models
topic Primary Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849555/
https://www.ncbi.nlm.nih.gov/pubmed/27082541
http://dx.doi.org/10.1111/gcb.13315
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