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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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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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