{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["617(7959)"],"submitter":["Tavares JV"],"pubmed_abstract":["Tropical forests face increasing climate risk<sup>1,2</sup>, 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]<sub>50</sub>) and hydraulic safety margins (for example, HSM<sub>50</sub>) are important predictors of drought-induced mortality risk<sup>3-5</sup>, 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]<sub>50</sub> and HSM<sub>50</s"],"journal":["Nature"],"pagination":["111-117"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10156596"],"repository":["biostudies-literature"],"pubmed_title":["Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests."],"pmcid":["PMC10156596"],"pubmed_authors":["Feldpausch TR","Esquivel-Muelbert A","Aragao L","Signori-Muller C","Mencuccini M","Huaraca Huasco W","Lola da Costa AC","de Camargo PB","Galbraith DR","Bittencourt P","Marimon BH","Brienen R","Rodrigues G","Gilpin M","Talbot J","Castro W","Morandi P","Espejo JS","Chama Moscoso V","Monteagudo Mendoza A","Silveira M","Cumapa ERM","Perez Mullisaca FM","Marimon BS","Disney M","Oliveras Menor I","Tavares JV","Ruschel AR","Schlickmann M","Gloor E","Honorio E","Scalon MC","Muscarella R","Acosta M","Fernandes L","Phillips OL","Lewis S","Cosio EG","Diniz FC","Ugarteche MTM","Martinez F","Almeida E","Araujo-Murakami A","Chambers-Ostler A","Baker TR","Baca J","Vieira SA","Sanchez JMB","Salinas N","Flores Llampazo G","Santos JAR","Salas Yupayccana CA","Jancoski H","Davila Cardozo N","Malhi Y","Barros FV","Penha D","da Costa Silva R","Tintaya JS","Ribeiro SC","Tello L","Oliveira RS","Higuchi N","Hirota M","Ferreira L","Pereira L","Coelho de Souza F","Vedovato L","Marca Zevallos MJ","Teixeira R","Meir P","Chino RSC","Giacomin L","Fancourt M","Rowland L","Nina A","Cuellar GA","Vasquez R","Del Aguila Pasquel J","Rocha MC","da Cruz WJA"],"additional_accession":[]},"is_claimable":false,"name":"Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests.","description":"Tropical forests face increasing climate risk<sup>1,2</sup>, 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]<sub>50</sub>) and hydraulic safety margins (for example, HSM<sub>50</sub>) are important predictors of drought-induced mortality risk<sup>3-5</sup>, 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]<sub>50</sub> and HSM<sub>50</s","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-04T14:44:53.489Z","creation":"2025-04-04T14:44:53.489Z"},"accession":"S-EPMC10156596","cross_references":{"pubmed":["37100901"],"doi":["10.1038/s41586-023-05971-3"]}}