Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics
Aim: Large trees (d.b.h.≥70cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, potentially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore whic...
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oai:repositorio:1-17793 Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics Slik, J. W.Ferry Paoli, Gary David McGuire, Krista L. Amaral, Iêda Leão do Barroso, Jorcely Bastian, Meredith L. Blanc, Lilian Bongers, Frans Boundja, Patrick R. Clark, Connie J. Collins, M. B. Dauby, Gilles Ding, Yi Doucet, Jean Louis Eler, Eduardo Schmidt Ferreira, Leandro Valle Forshed, Olle Fredriksson, Gabriella M. Gillet, Jean François Harris, David J. Leal, Miguel E. Laumonier, Yves Malhi, Yadvinder Singh Asyraf, M. Martin, Emanuel H. Miyamoto, Kazuki Araujo-Murakami, Alejandro Hidetoshi, Nagamasu, Nilus, Reuben Nurtjahya, Eddy Oliveira, Átila Cristina Alves de Onrizal, Onrizal Parada-Gutierrez, Alexander Andrea, Permana, Poorter, L. Poulsen, John R. Ramírez-Angulo, Hirma Reitsma, Jan M. Rovero, F. Rozak, Andes Hamuraby Sheil, Douglas Silva-Espejo, Javier Eduardo Silveira, Marcos Spironelo, Wilson ter Steege, H. Stévart, Tariq Navarro-Aguilar, Gilberto Enrique Sunderland, Terry Ch Suzuki, Eizi Tang, Jianwei Theilade, Ida Van Der Heijden, Geertje M.F. van Valkenburg, Johan L.C.H.S. Tran, Van Do, Vilanova, Emilio Vos, Vincent A. Wich, Serge Wöll, Hannsjörg Tsuyoshi, Yoneda, Zang, Runguo Zhang, Minggang Zweifel, Nicole Aboveground Biomass Climate Change Community Dynamics Ectomycorrhiza Forest Dynamics Lowland Environment Tropical Forest Aim: Large trees (d.b.h.≥70cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, potentially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore which intrinsic (species trait) and extrinsic (environment) variables are associated with the density of large trees and forest biomass at continental and pan-tropical scales. Location: Pan-tropical. Methods: Aboveground biomass (AGB) was calculated for 120 intact lowland moist forest locations. Linear regression was used to calculate variation in AGB explained by the density of large trees. Akaike information criterion weights (AICc-wi) were used to calculate averaged correlation coefficients for all possible multiple regression models between AGB/density of large trees and environmental and species trait variables correcting for spatial autocorrelation. Results: Density of large trees explained c. 70% of the variation in pan-tropical AGB and was also responsible for significantly lower AGB in Neotropical [287.8 (mean)±105.0 (SD) Mg ha-1] versus Palaeotropical forests (Africa 418.3±91.8 Mg ha-1; Asia 393.3±109.3 Mg ha-1). Pan-tropical variation in density of large trees and AGB was associated with soil coarseness (negative), soil fertility (positive), community wood density (positive) and dominance of wind dispersed species (positive), temperature in the coldest month (negative), temperature in the warmest month (negative) and rainfall in the wettest month (positive), but results were not always consistent among continents. Main conclusions: Density of large trees and AGB were significantly associated with climatic variables, indicating that climate change will affect tropical forest biomass storage. Species trait composition will interact with these future biomass changes as they are also affected by a warmer climate. Given the importance of large trees for variation in AGB across the tropics, and their sensitivity to climate change, we emphasize the need for in-depth analyses of the community dynamics of large trees. © 2013 John Wiley & Sons Ltd. 2020-06-15T21:49:19Z 2020-06-15T21:49:19Z 2013 Artigo https://repositorio.inpa.gov.br/handle/1/17793 10.1111/geb.12092 en Volume 22, Número 12, Pags. 1261-1271 Restrito Global Ecology and Biogeography |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Aboveground Biomass Climate Change Community Dynamics Ectomycorrhiza Forest Dynamics Lowland Environment Tropical Forest |
| spellingShingle |
Aboveground Biomass Climate Change Community Dynamics Ectomycorrhiza Forest Dynamics Lowland Environment Tropical Forest Slik, J. W.Ferry Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| topic_facet |
Aboveground Biomass Climate Change Community Dynamics Ectomycorrhiza Forest Dynamics Lowland Environment Tropical Forest |
| description |
Aim: Large trees (d.b.h.≥70cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, potentially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore which intrinsic (species trait) and extrinsic (environment) variables are associated with the density of large trees and forest biomass at continental and pan-tropical scales. Location: Pan-tropical. Methods: Aboveground biomass (AGB) was calculated for 120 intact lowland moist forest locations. Linear regression was used to calculate variation in AGB explained by the density of large trees. Akaike information criterion weights (AICc-wi) were used to calculate averaged correlation coefficients for all possible multiple regression models between AGB/density of large trees and environmental and species trait variables correcting for spatial autocorrelation. Results: Density of large trees explained c. 70% of the variation in pan-tropical AGB and was also responsible for significantly lower AGB in Neotropical [287.8 (mean)±105.0 (SD) Mg ha-1] versus Palaeotropical forests (Africa 418.3±91.8 Mg ha-1; Asia 393.3±109.3 Mg ha-1). Pan-tropical variation in density of large trees and AGB was associated with soil coarseness (negative), soil fertility (positive), community wood density (positive) and dominance of wind dispersed species (positive), temperature in the coldest month (negative), temperature in the warmest month (negative) and rainfall in the wettest month (positive), but results were not always consistent among continents. Main conclusions: Density of large trees and AGB were significantly associated with climatic variables, indicating that climate change will affect tropical forest biomass storage. Species trait composition will interact with these future biomass changes as they are also affected by a warmer climate. Given the importance of large trees for variation in AGB across the tropics, and their sensitivity to climate change, we emphasize the need for in-depth analyses of the community dynamics of large trees. © 2013 John Wiley & Sons Ltd. |
| format |
Artigo |
| author |
Slik, J. W.Ferry |
| author2 |
Paoli, Gary David McGuire, Krista L. Amaral, Iêda Leão do Barroso, Jorcely Bastian, Meredith L. Blanc, Lilian Bongers, Frans Boundja, Patrick R. Clark, Connie J. Collins, M. B. Dauby, Gilles Ding, Yi Doucet, Jean Louis Eler, Eduardo Schmidt Ferreira, Leandro Valle Forshed, Olle Fredriksson, Gabriella M. Gillet, Jean François Harris, David J. Leal, Miguel E. Laumonier, Yves Malhi, Yadvinder Singh Asyraf, M. Martin, Emanuel H. Miyamoto, Kazuki Araujo-Murakami, Alejandro Hidetoshi, Nagamasu, Nilus, Reuben Nurtjahya, Eddy Oliveira, Átila Cristina Alves de Onrizal, Onrizal Parada-Gutierrez, Alexander Andrea, Permana, Poorter, L. Poulsen, John R. Ramírez-Angulo, Hirma Reitsma, Jan M. Rovero, F. Rozak, Andes Hamuraby Sheil, Douglas Silva-Espejo, Javier Eduardo Silveira, Marcos Spironelo, Wilson ter Steege, H. Stévart, Tariq Navarro-Aguilar, Gilberto Enrique Sunderland, Terry Ch Suzuki, Eizi Tang, Jianwei Theilade, Ida Van Der Heijden, Geertje M.F. van Valkenburg, Johan L.C.H.S. Tran, Van Do, Vilanova, Emilio Vos, Vincent A. Wich, Serge Wöll, Hannsjörg Tsuyoshi, Yoneda, Zang, Runguo Zhang, Minggang Zweifel, Nicole |
| author2Str |
Paoli, Gary David McGuire, Krista L. Amaral, Iêda Leão do Barroso, Jorcely Bastian, Meredith L. Blanc, Lilian Bongers, Frans Boundja, Patrick R. Clark, Connie J. Collins, M. B. Dauby, Gilles Ding, Yi Doucet, Jean Louis Eler, Eduardo Schmidt Ferreira, Leandro Valle Forshed, Olle Fredriksson, Gabriella M. Gillet, Jean François Harris, David J. Leal, Miguel E. Laumonier, Yves Malhi, Yadvinder Singh Asyraf, M. Martin, Emanuel H. Miyamoto, Kazuki Araujo-Murakami, Alejandro Hidetoshi, Nagamasu, Nilus, Reuben Nurtjahya, Eddy Oliveira, Átila Cristina Alves de Onrizal, Onrizal Parada-Gutierrez, Alexander Andrea, Permana, Poorter, L. Poulsen, John R. Ramírez-Angulo, Hirma Reitsma, Jan M. Rovero, F. Rozak, Andes Hamuraby Sheil, Douglas Silva-Espejo, Javier Eduardo Silveira, Marcos Spironelo, Wilson ter Steege, H. Stévart, Tariq Navarro-Aguilar, Gilberto Enrique Sunderland, Terry Ch Suzuki, Eizi Tang, Jianwei Theilade, Ida Van Der Heijden, Geertje M.F. van Valkenburg, Johan L.C.H.S. Tran, Van Do, Vilanova, Emilio Vos, Vincent A. Wich, Serge Wöll, Hannsjörg Tsuyoshi, Yoneda, Zang, Runguo Zhang, Minggang Zweifel, Nicole |
| title |
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| title_short |
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| title_full |
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| title_fullStr |
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| title_full_unstemmed |
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| title_sort |
large trees drive forest aboveground biomass variation in moist lowland forests across the tropics |
| publisher |
Global Ecology and Biogeography |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/17793 |
| _version_ |
1787144551029276672 |
| score |
11.674752 |