Author
Listed:
- Julia Valentim Tavares
(University of Leeds
Uppsala University)
- Rafael S. Oliveira
(University of Campinas)
- Maurizio Mencuccini
(CREAF, Campus UAB
ICREA)
- Caroline Signori-Müller
(University of Leeds
University of Exeter
University of Campinas)
- Luciano Pereira
(University of Campinas
Ulm University)
- Francisco Carvalho Diniz
(University of Leeds)
- Martin Gilpin
(University of Leeds)
- Manuel J. Marca Zevallos
(Universidad Nacional de San Antonio Abad del Cusco)
- Carlos A. Salas Yupayccana
(Universidad Nacional de San Antonio Abad del Cusco)
- Martin Acosta
(Universidade Federal do Acre)
- Flor M. Pérez Mullisaca
(Universidad Nacional de San Antonio Abad del Cusco)
- Fernanda de V. Barros
(University of Exeter
University of Campinas)
- Paulo Bittencourt
(University of Campinas
University of Exeter)
- Halina Jancoski
(Universidade do Estado de Mato Grosso (UNEMAT))
- Marina Corrêa Scalon
(Universidade do Estado de Mato Grosso (UNEMAT)
Universidade Federal do Paraná)
- Beatriz S. Marimon
(Universidade do Estado de Mato Grosso (UNEMAT))
- Imma Oliveras Menor
(University of Oxford
Université de Montpellier)
- Ben Hur Marimon
(Universidade do Estado de Mato Grosso (UNEMAT))
- Max Fancourt
(University of Leeds)
- Alexander Chambers-Ostler
(University of Leeds)
- Adriane Esquivel-Muelbert
(University of Birmingham
Birmingham Institute of Forest Research (BIFoR))
- Lucy Rowland
(University of Exeter)
- Patrick Meir
(University of Edinburgh
Australian National University)
- Antonio Carlos Lola da Costa
(Universidade Federal do Pará)
- Alex Nina
(Pontificia Universidad Católica del Perú)
- Jesus M. B. Sanchez
(Universidad Nacional de San Antonio Abad del Cusco)
- Jose S. Tintaya
(Universidad Nacional de San Antonio Abad del Cusco)
- Rudi S. C. Chino
(Pontificia Universidad Católica del Perú)
- Jean Baca
(Universidad Nacional de la Amazonia Peruana)
- Leticia Fernandes
(Universidad Nacional de San Antonio Abad del Cusco)
- Edwin R. M. Cumapa
(Universidade Federal do Pará)
- João Antônio R. Santos
(Universidad Nacional de San Antonio Abad del Cusco)
- Renata Teixeira
(Universidad Nacional de San Antonio Abad del Cusco)
- Ligia Tello
(Universidad Nacional de la Amazonia Peruana)
- Maira T. M. Ugarteche
(Museo de Historia Natural Noel Kempff Mercado
Universidad Autonoma Gabriel Rene Moreno)
- Gina A. Cuellar
(Museo de Historia Natural Noel Kempff Mercado
Universidad Autonoma Gabriel Rene Moreno)
- Franklin Martinez
(Museo de Historia Natural Noel Kempff Mercado
Universidad Autonoma Gabriel Rene Moreno)
- Alejandro Araujo-Murakami
(Museo de Historia Natural Noel Kempff Mercado
Universidad Autonoma Gabriel Rene Moreno)
- Everton Almeida
(Universidade Federal do Oeste do Pará)
- Wesley Jonatar Alves Cruz
(Universidade do Estado de Mato Grosso (UNEMAT))
- Jhon Aguila Pasquel
(Universidad Nacional de la Amazonia Peruana (UNAP)
Instituto de Investigaciones de la Amazonia Peruana)
- Luís Aragāo
(National Institute for Space Research (INPE))
- Timothy R. Baker
(University of Leeds)
- Plinio Barbosa Camargo
(Universidade de Sāo Paulo (USP))
- Roel Brienen
(University of Leeds)
- Wendeson Castro
(Universidade Federal do Acre
Programa Governança e Proteção da Paisagem Verde na Amazônia)
- Sabina Cerruto Ribeiro
(Universidade Federal do Acre)
- Fernanda Coelho de Souza
(University of Brasilia, Campus Darcy Ribeiro)
- Eric G. Cosio
(Pontificia Universidad Católica del Perú)
- Nallaret Davila Cardozo
(Instituto de Investigaciones de la Amazonia Peruana)
- Richarlly Costa Silva
(Universidade Federal do Acre
Instituto Federal de Educação, Ciência e Tecnologia do Acre, Campus Baixada do Sol)
- Mathias Disney
(University College London)
- Javier Silva Espejo
(Universidad Nacional de San Antonio Abad del Cusco
Universidad de La Serena)
- Ted R. Feldpausch
(University of Exeter)
- Leandro Ferreira
(Museu Paraense Emílio Goeldi)
- Leandro Giacomin
(Universidade Federal da Paraíba)
- Niro Higuchi
(Instituto Nacional de Pesquisas da Amazônia)
- Marina Hirota
(University of Campinas
Federal University of Santa Catarina)
- Euridice Honorio
(Instituto de Investigaciones de la Amazonia Peruana)
- Walter Huaraca Huasco
(University of Oxford)
- Simon Lewis
(University of Leeds
University College London)
- Gerardo Flores Llampazo
(Instituto de Investigaciones de la Amazonia Peruana
Universidad Nacional Jorge Basadre de Grohmann (UNJBG))
- Yadvinder Malhi
(University of Oxford)
- Abel Monteagudo Mendoza
(Universidad Nacional de San Antonio Abad del Cusco
Jardín Botánico de Missouri)
- Paulo Morandi
(Universidade do Estado de Mato Grosso (UNEMAT))
- Victor Chama Moscoso
(Universidad Nacional de San Antonio Abad del Cusco
Jardín Botánico de Missouri)
- Robert Muscarella
(Uppsala University)
- Deliane Penha
(Universidade Federal do Oeste do Pará)
- Mayda Cecília Rocha
(Universidade Federal do Oeste do Pará)
- Gleicy Rodrigues
(Instituto Nacional de Pesquisas da Amazônia)
- Ademir R. Ruschel
(Embrapa Amazonia Oriental)
- Norma Salinas
(University of Oxford
Pontificia Universidad Católica del Perú)
- Monique Schlickmann
(Universidade Federal do Oeste do Pará)
- Marcos Silveira
(Universidade Federal do Acre)
- Joey Talbot
(University of Leeds)
- Rodolfo Vásquez
(Jardín Botánico de Missouri)
- Laura Vedovato
(University of Exeter)
- Simone Aparecida Vieira
(Universidade Estadual de Campinas)
- Oliver L. Phillips
(University of Leeds)
- Emanuel Gloor
(University of Leeds)
- David R. Galbraith
(University of Leeds)
Abstract
Tropical forests face increasing climate risk1,2, 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, $$\varPsi $$ Ψ 50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3–5, 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 $$\varPsi $$ Ψ 50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both $$\varPsi $$ Ψ 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 HSM50 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 Amazon6,7, with strong implications for the Amazon carbon sink.
Suggested Citation
Julia Valentim Tavares & Rafael S. Oliveira & Maurizio Mencuccini & Caroline Signori-Müller & Luciano Pereira & Francisco Carvalho Diniz & Martin Gilpin & Manuel J. Marca Zevallos & Carlos A. Salas Yu, 2023.
"Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests,"
Nature, Nature, vol. 617(7959), pages 111-117, May.
Handle:
RePEc:nat:nature:v:617:y:2023:i:7959:d:10.1038_s41586-023-05971-3
DOI: 10.1038/s41586-023-05971-3
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