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Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

Authors :
Tavares, Julia
Oliveira, Rafael S.
Mencuccini, Maurizio
Signori-Mueller, Caroline
Pereira, Luciano
Diniz, Francisco Carvalho
Gilpin, Martin
Zevallos, Manuel Marca J.
Yupayccana, Carlos Salas A.
Acosta, Martin
Mullisaca, Flor Perez
Barros, Fernanda de V.
Bittencourt, Paulo
Jancoski, Halina
Scalon, Marina Correa
Marimon, Beatriz S.
Menor, Imma Oliveras
Marimon Jr, Ben Hur
Fancourt, Max
Chambers-Ostler, Alexander
Esquivel-Muelbert, Adriane
Rowland, Lucy
Meir, Patrick
da Costa, Antonio Carlos Lola
Nina, Alex
Sanchez, Jesus M. B.
Tintaya, Jose S.
Chino, Rudi S. C.
Baca, Jean
Fernandes, Leticia
Cumapa, Edwin R. M.
Santos, Joao Antonio R.
Teixeira, Renata
Tello, Ligia
Ugarteche, Maira T. M.
Cuellar, Gina A.
Martinez, Franklin
Araujo-Murakami, Alejandro
Almeida, Everton
da Cruz, Wesley Jonatar Alves
Pasquel, Jhon del Aguila
Aragao, Luis
Baker, Timothy R.
de Camargo, Plinio Barbosa
Brienen, Roel
Castro, Wendeson
Ribeiro, Sabina Cerruto
de Souza, Fernanda Coelho
Cosio, Eric G.
Cardozo, Nallaret Davila
Silva, Richarlly da Costa
Disney, Mathias
Espejo, Javier Silva
Feldpausch, Ted R.
Ferreira, Leandro
Giacomin, Leandro
Higuchi, Niro
Hirota, Marina
Honorio, Euridice
Huasco, Walter Huaraca
Lewis, Simon
Llampazo, Gerardo Flores
Malhi, Yadvinder
Mendoza, Abel Monteagudo
Morandi, Paulo
Moscoso, Victor Chama
Muscarella, Robert
Penha, Deliane
Rocha, Mayda Cecilia
Rodrigues, Gleicy
Ruschel, Ademir R.
Salinas, Norma
Schlickmann, Monique
Silveira, Marcos
Talbot, Joey
Vasquez, Rodolfo
Vedovato, Laura
Vieira, Simone Aparecida
Phillips, Oliver L.
Gloor, Emanuel
Galbraith, David R.
Tavares, Julia
Oliveira, Rafael S.
Mencuccini, Maurizio
Signori-Mueller, Caroline
Pereira, Luciano
Diniz, Francisco Carvalho
Gilpin, Martin
Zevallos, Manuel Marca J.
Yupayccana, Carlos Salas A.
Acosta, Martin
Mullisaca, Flor Perez
Barros, Fernanda de V.
Bittencourt, Paulo
Jancoski, Halina
Scalon, Marina Correa
Marimon, Beatriz S.
Menor, Imma Oliveras
Marimon Jr, Ben Hur
Fancourt, Max
Chambers-Ostler, Alexander
Esquivel-Muelbert, Adriane
Rowland, Lucy
Meir, Patrick
da Costa, Antonio Carlos Lola
Nina, Alex
Sanchez, Jesus M. B.
Tintaya, Jose S.
Chino, Rudi S. C.
Baca, Jean
Fernandes, Leticia
Cumapa, Edwin R. M.
Santos, Joao Antonio R.
Teixeira, Renata
Tello, Ligia
Ugarteche, Maira T. M.
Cuellar, Gina A.
Martinez, Franklin
Araujo-Murakami, Alejandro
Almeida, Everton
da Cruz, Wesley Jonatar Alves
Pasquel, Jhon del Aguila
Aragao, Luis
Baker, Timothy R.
de Camargo, Plinio Barbosa
Brienen, Roel
Castro, Wendeson
Ribeiro, Sabina Cerruto
de Souza, Fernanda Coelho
Cosio, Eric G.
Cardozo, Nallaret Davila
Silva, Richarlly da Costa
Disney, Mathias
Espejo, Javier Silva
Feldpausch, Ted R.
Ferreira, Leandro
Giacomin, Leandro
Higuchi, Niro
Hirota, Marina
Honorio, Euridice
Huasco, Walter Huaraca
Lewis, Simon
Llampazo, Gerardo Flores
Malhi, Yadvinder
Mendoza, Abel Monteagudo
Morandi, Paulo
Moscoso, Victor Chama
Muscarella, Robert
Penha, Deliane
Rocha, Mayda Cecilia
Rodrigues, Gleicy
Ruschel, Ademir R.
Salinas, Norma
Schlickmann, Monique
Silveira, Marcos
Talbot, Joey
Vasquez, Rodolfo
Vedovato, Laura
Vieira, Simone Aparecida
Phillips, Oliver L.
Gloor, Emanuel
Galbraith, David R.
Publication Year :
2023

Abstract

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, ?(50)) and hydraulic safety margins (for example, HSM50) 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 ?(50) and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both ?(50) and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 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 HSM50 in the Amazon(6,7), with strong implications for the Amazon carbon sink.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1422606420
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1038.s41586-023-05971-3