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Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests
Tropical forests face increasing climate risk(1,2), yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, [Formula: see text] (50)) and hydraulic safety margins (fo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156596/ https://www.ncbi.nlm.nih.gov/pubmed/37100901 http://dx.doi.org/10.1038/s41586-023-05971-3 |
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author | Tavares, Julia Valentim Oliveira, Rafael S. Mencuccini, Maurizio Signori-Müller, Caroline Pereira, Luciano Diniz, Francisco Carvalho Gilpin, Martin Marca Zevallos, Manuel J. Salas Yupayccana, Carlos A. Acosta, Martin Pérez Mullisaca, Flor M. Barros, Fernanda de V. Bittencourt, Paulo Jancoski, Halina Scalon, Marina Corrêa Marimon, Beatriz S. Oliveras Menor, Imma Marimon, Ben Hur Fancourt, Max Chambers-Ostler, Alexander Esquivel-Muelbert, Adriane Rowland, Lucy Meir, Patrick Lola da Costa, Antonio Carlos Nina, Alex Sanchez, Jesus M. B. Tintaya, Jose S. Chino, Rudi S. C. Baca, Jean Fernandes, Leticia Cumapa, Edwin R. M. Santos, João Antônio R. Teixeira, Renata Tello, Ligia Ugarteche, Maira T. M. Cuellar, Gina A. Martinez, Franklin Araujo-Murakami, Alejandro Almeida, Everton da Cruz, Wesley Jonatar Alves del Aguila Pasquel, Jhon Aragāo, Luís Baker, Timothy R. de Camargo, Plinio Barbosa Brienen, Roel Castro, Wendeson Ribeiro, Sabina Cerruto Coelho de Souza, Fernanda Cosio, Eric G. Davila Cardozo, Nallaret da Costa Silva, Richarlly Disney, Mathias Espejo, Javier Silva Feldpausch, Ted R. Ferreira, Leandro Giacomin, Leandro Higuchi, Niro Hirota, Marina Honorio, Euridice Huaraca Huasco, Walter Lewis, Simon Flores Llampazo, Gerardo Malhi, Yadvinder Monteagudo Mendoza, Abel Morandi, Paulo Chama Moscoso, Victor Muscarella, Robert Penha, Deliane Rocha, Mayda Cecília Rodrigues, Gleicy Ruschel, Ademir R. Salinas, Norma Schlickmann, Monique Silveira, Marcos Talbot, Joey Vásquez, Rodolfo Vedovato, Laura Vieira, Simone Aparecida Phillips, Oliver L. Gloor, Emanuel Galbraith, David R. |
author_facet | Tavares, Julia Valentim Oliveira, Rafael S. Mencuccini, Maurizio Signori-Müller, Caroline Pereira, Luciano Diniz, Francisco Carvalho Gilpin, Martin Marca Zevallos, Manuel J. Salas Yupayccana, Carlos A. Acosta, Martin Pérez Mullisaca, Flor M. Barros, Fernanda de V. Bittencourt, Paulo Jancoski, Halina Scalon, Marina Corrêa Marimon, Beatriz S. Oliveras Menor, Imma Marimon, Ben Hur Fancourt, Max Chambers-Ostler, Alexander Esquivel-Muelbert, Adriane Rowland, Lucy Meir, Patrick Lola da Costa, Antonio Carlos Nina, Alex Sanchez, Jesus M. B. Tintaya, Jose S. Chino, Rudi S. C. Baca, Jean Fernandes, Leticia Cumapa, Edwin R. M. Santos, João Antônio R. Teixeira, Renata Tello, Ligia Ugarteche, Maira T. M. Cuellar, Gina A. Martinez, Franklin Araujo-Murakami, Alejandro Almeida, Everton da Cruz, Wesley Jonatar Alves del Aguila Pasquel, Jhon Aragāo, Luís Baker, Timothy R. de Camargo, Plinio Barbosa Brienen, Roel Castro, Wendeson Ribeiro, Sabina Cerruto Coelho de Souza, Fernanda Cosio, Eric G. Davila Cardozo, Nallaret da Costa Silva, Richarlly Disney, Mathias Espejo, Javier Silva Feldpausch, Ted R. Ferreira, Leandro Giacomin, Leandro Higuchi, Niro Hirota, Marina Honorio, Euridice Huaraca Huasco, Walter Lewis, Simon Flores Llampazo, Gerardo Malhi, Yadvinder Monteagudo Mendoza, Abel Morandi, Paulo Chama Moscoso, Victor Muscarella, Robert Penha, Deliane Rocha, Mayda Cecília Rodrigues, Gleicy Ruschel, Ademir R. Salinas, Norma Schlickmann, Monique Silveira, Marcos Talbot, Joey Vásquez, Rodolfo Vedovato, Laura Vieira, Simone Aparecida Phillips, Oliver L. Gloor, Emanuel Galbraith, David R. |
author_sort | Tavares, Julia Valentim |
collection | PubMed |
description | Tropical forests face increasing climate risk(1,2), yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, [Formula: see text] (50)) and hydraulic safety margins (for example, HSM(50)) are important predictors of drought-induced mortality risk(3–5), little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters [Formula: see text] (50) and HSM(50) vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both [Formula: see text] (50) and HSM(50) influence the biogeographical distribution of Amazon tree species. However, HSM(50) was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM(50) are gaining more biomass than are low HSM(50) forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM(50) in the Amazon(6,7), with strong implications for the Amazon carbon sink. |
format | Online Article Text |
id | pubmed-10156596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101565962023-05-05 Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests Tavares, Julia Valentim Oliveira, Rafael S. Mencuccini, Maurizio Signori-Müller, Caroline Pereira, Luciano Diniz, Francisco Carvalho Gilpin, Martin Marca Zevallos, Manuel J. Salas Yupayccana, Carlos A. Acosta, Martin Pérez Mullisaca, Flor M. Barros, Fernanda de V. Bittencourt, Paulo Jancoski, Halina Scalon, Marina Corrêa Marimon, Beatriz S. Oliveras Menor, Imma Marimon, Ben Hur Fancourt, Max Chambers-Ostler, Alexander Esquivel-Muelbert, Adriane Rowland, Lucy Meir, Patrick Lola da Costa, Antonio Carlos Nina, Alex Sanchez, Jesus M. B. Tintaya, Jose S. Chino, Rudi S. C. Baca, Jean Fernandes, Leticia Cumapa, Edwin R. M. Santos, João Antônio R. Teixeira, Renata Tello, Ligia Ugarteche, Maira T. M. Cuellar, Gina A. Martinez, Franklin Araujo-Murakami, Alejandro Almeida, Everton da Cruz, Wesley Jonatar Alves del Aguila Pasquel, Jhon Aragāo, Luís Baker, Timothy R. de Camargo, Plinio Barbosa Brienen, Roel Castro, Wendeson Ribeiro, Sabina Cerruto Coelho de Souza, Fernanda Cosio, Eric G. Davila Cardozo, Nallaret da Costa Silva, Richarlly Disney, Mathias Espejo, Javier Silva Feldpausch, Ted R. Ferreira, Leandro Giacomin, Leandro Higuchi, Niro Hirota, Marina Honorio, Euridice Huaraca Huasco, Walter Lewis, Simon Flores Llampazo, Gerardo Malhi, Yadvinder Monteagudo Mendoza, Abel Morandi, Paulo Chama Moscoso, Victor Muscarella, Robert Penha, Deliane Rocha, Mayda Cecília Rodrigues, Gleicy Ruschel, Ademir R. Salinas, Norma Schlickmann, Monique Silveira, Marcos Talbot, Joey Vásquez, Rodolfo Vedovato, Laura Vieira, Simone Aparecida Phillips, Oliver L. Gloor, Emanuel Galbraith, David R. Nature Article Tropical forests face increasing climate risk(1,2), yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, [Formula: see text] (50)) and hydraulic safety margins (for example, HSM(50)) are important predictors of drought-induced mortality risk(3–5), little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters [Formula: see text] (50) and HSM(50) vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both [Formula: see text] (50) and HSM(50) influence the biogeographical distribution of Amazon tree species. However, HSM(50) was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM(50) are gaining more biomass than are low HSM(50) forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM(50) in the Amazon(6,7), with strong implications for the Amazon carbon sink. Nature Publishing Group UK 2023-04-26 2023 /pmc/articles/PMC10156596/ /pubmed/37100901 http://dx.doi.org/10.1038/s41586-023-05971-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tavares, Julia Valentim Oliveira, Rafael S. Mencuccini, Maurizio Signori-Müller, Caroline Pereira, Luciano Diniz, Francisco Carvalho Gilpin, Martin Marca Zevallos, Manuel J. Salas Yupayccana, Carlos A. Acosta, Martin Pérez Mullisaca, Flor M. Barros, Fernanda de V. Bittencourt, Paulo Jancoski, Halina Scalon, Marina Corrêa Marimon, Beatriz S. Oliveras Menor, Imma Marimon, Ben Hur Fancourt, Max Chambers-Ostler, Alexander Esquivel-Muelbert, Adriane Rowland, Lucy Meir, Patrick Lola da Costa, Antonio Carlos Nina, Alex Sanchez, Jesus M. B. Tintaya, Jose S. Chino, Rudi S. C. Baca, Jean Fernandes, Leticia Cumapa, Edwin R. M. Santos, João Antônio R. Teixeira, Renata Tello, Ligia Ugarteche, Maira T. M. Cuellar, Gina A. Martinez, Franklin Araujo-Murakami, Alejandro Almeida, Everton da Cruz, Wesley Jonatar Alves del Aguila Pasquel, Jhon Aragāo, Luís Baker, Timothy R. de Camargo, Plinio Barbosa Brienen, Roel Castro, Wendeson Ribeiro, Sabina Cerruto Coelho de Souza, Fernanda Cosio, Eric G. Davila Cardozo, Nallaret da Costa Silva, Richarlly Disney, Mathias Espejo, Javier Silva Feldpausch, Ted R. Ferreira, Leandro Giacomin, Leandro Higuchi, Niro Hirota, Marina Honorio, Euridice Huaraca Huasco, Walter Lewis, Simon Flores Llampazo, Gerardo Malhi, Yadvinder Monteagudo Mendoza, Abel Morandi, Paulo Chama Moscoso, Victor Muscarella, Robert Penha, Deliane Rocha, Mayda Cecília Rodrigues, Gleicy Ruschel, Ademir R. Salinas, Norma Schlickmann, Monique Silveira, Marcos Talbot, Joey Vásquez, Rodolfo Vedovato, Laura Vieira, Simone Aparecida Phillips, Oliver L. Gloor, Emanuel Galbraith, David R. Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title | Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title_full | Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title_fullStr | Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title_full_unstemmed | Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title_short | Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests |
title_sort | basin-wide variation in tree hydraulic safety margins predicts the carbon balance of amazon forests |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156596/ https://www.ncbi.nlm.nih.gov/pubmed/37100901 http://dx.doi.org/10.1038/s41586-023-05971-3 |
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