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dc.contributor.authorTavares, JV
dc.contributor.authorOliveira, RS
dc.contributor.authorMencuccini, M
dc.contributor.authorSignori-Müller, C
dc.contributor.authorPereira, L
dc.contributor.authorDiniz, FC
dc.contributor.authorGilpin, M
dc.contributor.authorMarca Zevallos, MJ
dc.contributor.authorSalas Yupayccana, CA
dc.contributor.authorAcosta, M
dc.contributor.authorPérez Mullisaca, FM
dc.contributor.authorBarros, FDV
dc.contributor.authorBittencourt, P
dc.contributor.authorJancoski, H
dc.contributor.authorScalon, MC
dc.contributor.authorMarimon, BS
dc.contributor.authorOliveras Menor, I
dc.contributor.authorMarimon, BH
dc.contributor.authorFancourt, M
dc.contributor.authorChambers-Ostler, A
dc.contributor.authorEsquivel-Muelbert, A
dc.contributor.authorRowland, L
dc.contributor.authorMeir, P
dc.contributor.authorLola da Costa, AC
dc.contributor.authorNina, A
dc.contributor.authorSanchez, JMB
dc.contributor.authorTintaya, JS
dc.contributor.authorChino, RSC
dc.contributor.authorBaca, J
dc.contributor.authorFernandes, L
dc.contributor.authorCumapa, ERM
dc.contributor.authorSantos, JAR
dc.contributor.authorTeixeira, R
dc.contributor.authorTello, L
dc.contributor.authorUgarteche, MTM
dc.contributor.authorCuellar, GA
dc.contributor.authorMartinez, F
dc.contributor.authorAraujo-Murakami, A
dc.contributor.authorAlmeida, E
dc.contributor.authorda Cruz, WJA
dc.contributor.authordel Aguila Pasquel, J
dc.contributor.authorAragāo, L
dc.contributor.authorBaker, TR
dc.contributor.authorde Camargo, PB
dc.contributor.authorBrienen, R
dc.contributor.authorCastro, W
dc.contributor.authorRibeiro, SC
dc.contributor.authorCoelho de Souza, F
dc.contributor.authorCosio, EG
dc.contributor.authorDavila Cardozo, N
dc.contributor.authorda Costa Silva, R
dc.contributor.authorDisney, M
dc.contributor.authorEspejo, JS
dc.contributor.authorFeldpausch, TR
dc.contributor.authorFerreira, L
dc.contributor.authorGiacomin, L
dc.contributor.authorHiguchi, N
dc.contributor.authorHirota, M
dc.contributor.authorHonorio, E
dc.contributor.authorHuaraca Huasco, W
dc.contributor.authorLewis, S
dc.contributor.authorFlores Llampazo, G
dc.contributor.authorMalhi, Y
dc.contributor.authorMonteagudo Mendoza, A
dc.contributor.authorMorandi, P
dc.contributor.authorChama Moscoso, V
dc.contributor.authorMuscarella, R
dc.contributor.authorPenha, D
dc.contributor.authorRocha, MC
dc.contributor.authorRodrigues, G
dc.contributor.authorRuschel, AR
dc.contributor.authorSalinas, N
dc.contributor.authorSchlickmann, M
dc.contributor.authorSilveira, M
dc.contributor.authorTalbot, J
dc.contributor.authorVásquez, R
dc.contributor.authorVedovato, L
dc.contributor.authorVieira, SA
dc.contributor.authorPhillips, OL
dc.contributor.authorGloor, E
dc.contributor.authorGalbraith, DR
dc.date.accessioned2023-04-27T11:42:00Z
dc.date.issued2023-04-26
dc.date.updated2023-04-27T09:02:37Z
dc.description.abstractTropical forests face increasing climate risk, 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, Ψ 50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk, 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 Ψ 50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both 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 Amazon, with strong implications for the Amazon carbon sink.en_GB
dc.identifier.citationPublished online 26 April 2023en_GB
dc.identifier.doihttps://doi.org/10.1038/s41586-023-05971-3
dc.identifier.urihttp://hdl.handle.net/10871/133034
dc.identifierORCID: 0000-0002-0774-3216 (Rowland, Lucy)
dc.identifierScopusID: 55789919100 (Rowland, Lucy)
dc.identifierORCID: 0000-0002-6631-7962 (Feldpausch, Ted R)
dc.identifierScopusID: 55323559100 (Feldpausch, Ted R)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://forestplots.net/data-packages/Tavares-et-al-2023en_GB
dc.rights© The Author(s) 2023. 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/.en_GB
dc.titleBasin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forestsen_GB
dc.typeArticleen_GB
dc.date.available2023-04-27T11:42:00Z
dc.identifier.issn0028-0836
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability: The pan-Amazonian HT dataset (Ψ 50, Ψ dry and HSM50) and branch wood density per species per site, as well as forest dynamic and climate data per plot presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023. Basal area weighted mean LMA is shown in Supplementary Table 2. Species stem wood density data were obtained from Global Wood Density database65,66. Species WDA data were extracted from ref. 45.en_GB
dc.descriptionCode availability: The codes to recreate the main analyses and the main figures presented in this study are available as a ForestPlots.net data package at https://forestplots.net/data-packages/Tavares-et-al-2023.en_GB
dc.identifier.eissn1476-4687
dc.identifier.journalNatureen_GB
dc.relation.ispartofNature
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-17
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-03-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-27T11:40:13Z
refterms.versionFCDVoR
refterms.dateFOA2023-04-27T11:42:05Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-04-26


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© The Author(s) 2023. 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/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. 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/.