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

Author:

Tavares Julia ValentimORCID,Oliveira Rafael S.ORCID,Mencuccini Maurizio,Signori-Müller CarolineORCID,Pereira LucianoORCID,Diniz Francisco Carvalho,Gilpin Martin,Marca Zevallos Manuel J.ORCID,Salas Yupayccana Carlos A.,Acosta MartinORCID,Pérez Mullisaca Flor M.,Barros Fernanda de V.,Bittencourt Paulo,Jancoski Halina,Scalon Marina CorrêaORCID,Marimon Beatriz S.,Oliveras Menor ImmaORCID,Marimon Ben HurORCID,Fancourt MaxORCID,Chambers-Ostler Alexander,Esquivel-Muelbert AdrianeORCID,Rowland LucyORCID,Meir Patrick,Lola da Costa Antonio Carlos,Nina Alex,Sanchez Jesus M. B.,Tintaya Jose S.,Chino Rudi S. C.ORCID,Baca Jean,Fernandes LeticiaORCID,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 AlvesORCID,del Aguila Pasquel Jhon,Aragāo Luís,Baker Timothy R.ORCID,de Camargo Plinio Barbosa,Brienen RoelORCID,Castro WendesonORCID,Ribeiro Sabina Cerruto,Coelho de Souza FernandaORCID,Cosio Eric G.,Davila Cardozo Nallaret,da Costa Silva RicharllyORCID,Disney MathiasORCID,Espejo Javier Silva,Feldpausch Ted R.ORCID,Ferreira Leandro,Giacomin LeandroORCID,Higuchi Niro,Hirota MarinaORCID,Honorio EuridiceORCID,Huaraca Huasco Walter,Lewis SimonORCID,Flores Llampazo Gerardo,Malhi YadvinderORCID,Monteagudo Mendoza Abel,Morandi Paulo,Chama Moscoso Victor,Muscarella Robert,Penha Deliane,Rocha Mayda CecíliaORCID,Rodrigues Gleicy,Ruschel Ademir R.,Salinas Norma,Schlickmann Monique,Silveira MarcosORCID,Talbot Joey,Vásquez Rodolfo,Vedovato Laura,Vieira Simone AparecidaORCID,Phillips Oliver L.ORCID,Gloor Emanuel,Galbraith David R.ORCID

Abstract

AbstractTropical 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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