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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Wiley
2016
|
| Online Access: | https://eprints.nottingham.ac.uk/33504/ |
| _version_ | 1848794645468807168 |
|---|---|
| author | Johnson, Michelle Galbraith, David Gloor, Manuel De Deaurwaerder, Hannes Guimberteau, Mattieu Rammig, Anja Thonicke, Kristin Verbeeck, Hans von Randow, Celso Monteagudo Mendoza, Abel Phillips, Oliver L. Brienen, Roel Feldpausch, Ted R. Lopez Gonzales, Gabriela Fauset, Sophie Quesada, Carlos Christofferson, Bradley Ciais, Phillippe Sampaio, Gilvan Kruijt, Bart Meir, Patrick Moorcroft, Paul Zhang, Ke Alvarez-Davila, Esteban Alves de Oliveira, Atila Amaral, Ieda Andrade, Ana Aragao, Luiz Araujo-Murakami, Alejandro Arets, Eric Arroyo, Luzmila Aymard, Gerardo Baraloto, Christopher Barroso, Jocely Bonal, Damien Boot, Rene Camargo, Jose Chave, Jerome Cogollo, Alvaro Cornejo, Fernando Lola da Costa, Antonio Di Fiore, Anthony Ferreira, Leandro Higuchi, Niro Honorio, Euridice Killeen, Timothy Laurance, Susan Laurance, William Licona, Juan Lovejoy, Thomas Malhi, Yadvinder Marimon, Bia Marimon Junior, Ben Hur Matos, Darley Mendoza, Casimiro Neill, David Pardo, Guido Pena-Claros, Marielos Pitman, Nigel Poorter, Lourens Prieto, Adriana Ramirez-Angula, Hirma Roopsind, Anand Rudas, Augustin Salomao, Rafael Silveira, Marcos Stropp, Juliana ter Steege, Hans Terborgh, John Thomas, Raquel Toledo, Marisol Torres-Lezama, Armando van der Heijden, Geertje M.F. Vasquez, Rodolfo Vieira, Imez Vilanova, Emilio Vos, Vincent Baker, Timothy |
| author_facet | Johnson, Michelle Galbraith, David Gloor, Manuel De Deaurwaerder, Hannes Guimberteau, Mattieu Rammig, Anja Thonicke, Kristin Verbeeck, Hans von Randow, Celso Monteagudo Mendoza, Abel Phillips, Oliver L. Brienen, Roel Feldpausch, Ted R. Lopez Gonzales, Gabriela Fauset, Sophie Quesada, Carlos Christofferson, Bradley Ciais, Phillippe Sampaio, Gilvan Kruijt, Bart Meir, Patrick Moorcroft, Paul Zhang, Ke Alvarez-Davila, Esteban Alves de Oliveira, Atila Amaral, Ieda Andrade, Ana Aragao, Luiz Araujo-Murakami, Alejandro Arets, Eric Arroyo, Luzmila Aymard, Gerardo Baraloto, Christopher Barroso, Jocely Bonal, Damien Boot, Rene Camargo, Jose Chave, Jerome Cogollo, Alvaro Cornejo, Fernando Lola da Costa, Antonio Di Fiore, Anthony Ferreira, Leandro Higuchi, Niro Honorio, Euridice Killeen, Timothy Laurance, Susan Laurance, William Licona, Juan Lovejoy, Thomas Malhi, Yadvinder Marimon, Bia Marimon Junior, Ben Hur Matos, Darley Mendoza, Casimiro Neill, David Pardo, Guido Pena-Claros, Marielos Pitman, Nigel Poorter, Lourens Prieto, Adriana Ramirez-Angula, Hirma Roopsind, Anand Rudas, Augustin Salomao, Rafael Silveira, Marcos Stropp, Juliana ter Steege, Hans Terborgh, John Thomas, Raquel Toledo, Marisol Torres-Lezama, Armando van der Heijden, Geertje M.F. Vasquez, Rodolfo Vieira, Imez Vilanova, Emilio Vos, Vincent Baker, Timothy |
| author_sort | Johnson, Michelle |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T19:19:29Z |
| format | Article |
| id | nottingham-33504 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:19:29Z |
| publishDate | 2016 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-335042020-05-04T17:51:23Z https://eprints.nottingham.ac.uk/33504/ Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models Johnson, Michelle Galbraith, David Gloor, Manuel De Deaurwaerder, Hannes Guimberteau, Mattieu Rammig, Anja Thonicke, Kristin Verbeeck, Hans von Randow, Celso Monteagudo Mendoza, Abel Phillips, Oliver L. Brienen, Roel Feldpausch, Ted R. Lopez Gonzales, Gabriela Fauset, Sophie Quesada, Carlos Christofferson, Bradley Ciais, Phillippe Sampaio, Gilvan Kruijt, Bart Meir, Patrick Moorcroft, Paul Zhang, Ke Alvarez-Davila, Esteban Alves de Oliveira, Atila Amaral, Ieda Andrade, Ana Aragao, Luiz Araujo-Murakami, Alejandro Arets, Eric Arroyo, Luzmila Aymard, Gerardo Baraloto, Christopher Barroso, Jocely Bonal, Damien Boot, Rene Camargo, Jose Chave, Jerome Cogollo, Alvaro Cornejo, Fernando Lola da Costa, Antonio Di Fiore, Anthony Ferreira, Leandro Higuchi, Niro Honorio, Euridice Killeen, Timothy Laurance, Susan Laurance, William Licona, Juan Lovejoy, Thomas Malhi, Yadvinder Marimon, Bia Marimon Junior, Ben Hur Matos, Darley Mendoza, Casimiro Neill, David Pardo, Guido Pena-Claros, Marielos Pitman, Nigel Poorter, Lourens Prieto, Adriana Ramirez-Angula, Hirma Roopsind, Anand Rudas, Augustin Salomao, Rafael Silveira, Marcos Stropp, Juliana ter Steege, Hans Terborgh, John Thomas, Raquel Toledo, Marisol Torres-Lezama, Armando van der Heijden, Geertje M.F. Vasquez, Rodolfo Vieira, Imez Vilanova, Emilio Vos, Vincent Baker, Timothy 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. Wiley 2016-05-19 Article PeerReviewed Johnson, Michelle, Galbraith, David, Gloor, Manuel, De Deaurwaerder, Hannes, Guimberteau, Mattieu, Rammig, Anja, Thonicke, Kristin, Verbeeck, Hans, von Randow, Celso, Monteagudo Mendoza, Abel, Phillips, Oliver L., Brienen, Roel, Feldpausch, Ted R., Lopez Gonzales, Gabriela, Fauset, Sophie, Quesada, Carlos, Christofferson, Bradley, Ciais, Phillippe, Sampaio, Gilvan, Kruijt, Bart, Meir, Patrick, Moorcroft, Paul, Zhang, Ke, Alvarez-Davila, Esteban, Alves de Oliveira, Atila, Amaral, Ieda, Andrade, Ana, Aragao, Luiz, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Aymard, Gerardo, Baraloto, Christopher, Barroso, Jocely, Bonal, Damien, Boot, Rene, Camargo, Jose, Chave, Jerome, Cogollo, Alvaro, Cornejo, Fernando, Lola da Costa, Antonio, Di Fiore, Anthony, Ferreira, Leandro, Higuchi, Niro, Honorio, Euridice, Killeen, Timothy, Laurance, Susan, Laurance, William, Licona, Juan, Lovejoy, Thomas, Malhi, Yadvinder, Marimon, Bia, Marimon Junior, Ben Hur, Matos, Darley, Mendoza, Casimiro, Neill, David, Pardo, Guido, Pena-Claros, Marielos, Pitman, Nigel, Poorter, Lourens, Prieto, Adriana, Ramirez-Angula, Hirma, Roopsind, Anand, Rudas, Augustin, Salomao, Rafael, Silveira, Marcos, Stropp, Juliana, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Toledo, Marisol, Torres-Lezama, Armando, van der Heijden, Geertje M.F., Vasquez, Rodolfo, Vieira, Imez, Vilanova, Emilio, Vos, Vincent and Baker, Timothy (2016) Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models. Global Change Biology . ISSN 1365-2486 http://onlinelibrary.wiley.com/doi/10.1111/gcb.13315/abstract;jsessionid=A05AA58C2F6A21DFB4EC1D861F6E5B01.f01t03 doi:10.1111/gcb.13315 doi:10.1111/gcb.13315 |
| spellingShingle | Johnson, Michelle Galbraith, David Gloor, Manuel De Deaurwaerder, Hannes Guimberteau, Mattieu Rammig, Anja Thonicke, Kristin Verbeeck, Hans von Randow, Celso Monteagudo Mendoza, Abel Phillips, Oliver L. Brienen, Roel Feldpausch, Ted R. Lopez Gonzales, Gabriela Fauset, Sophie Quesada, Carlos Christofferson, Bradley Ciais, Phillippe Sampaio, Gilvan Kruijt, Bart Meir, Patrick Moorcroft, Paul Zhang, Ke Alvarez-Davila, Esteban Alves de Oliveira, Atila Amaral, Ieda Andrade, Ana Aragao, Luiz Araujo-Murakami, Alejandro Arets, Eric Arroyo, Luzmila Aymard, Gerardo Baraloto, Christopher Barroso, Jocely Bonal, Damien Boot, Rene Camargo, Jose Chave, Jerome Cogollo, Alvaro Cornejo, Fernando Lola da Costa, Antonio Di Fiore, Anthony Ferreira, Leandro Higuchi, Niro Honorio, Euridice Killeen, Timothy Laurance, Susan Laurance, William Licona, Juan Lovejoy, Thomas Malhi, Yadvinder Marimon, Bia Marimon Junior, Ben Hur Matos, Darley Mendoza, Casimiro Neill, David Pardo, Guido Pena-Claros, Marielos Pitman, Nigel Poorter, Lourens Prieto, Adriana Ramirez-Angula, Hirma Roopsind, Anand Rudas, Augustin Salomao, Rafael Silveira, Marcos Stropp, Juliana ter Steege, Hans Terborgh, John Thomas, Raquel Toledo, Marisol Torres-Lezama, Armando van der Heijden, Geertje M.F. Vasquez, Rodolfo Vieira, Imez Vilanova, Emilio Vos, Vincent Baker, Timothy 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 |
| url | https://eprints.nottingham.ac.uk/33504/ https://eprints.nottingham.ac.uk/33504/ https://eprints.nottingham.ac.uk/33504/ |