{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tordoni E"],"funding":["Eesti Teadusagentuur","Università degli Studi di Trieste"],"pagination":["6640-6652"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825879"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["28(22)"],"pubmed_abstract":["Predicting the consequences of climate change is of utmost importance to mitigate impacts on vulnerable ecosystems; plant hydraulic traits are particularly useful proxies for predicting functional disruptions potentially occurring in the near future. This study assessed the current and future regional patterns of leaf water potential at turgor loss point (Ψ<sub>tlp</sub> ) by measuring and projecting the Ψ<sub>tlp</sub> of 166 vascular plant species (159 angiosperms and 7 gymnosperms) across a large climatic range spanning from alpine to Mediterranean areas in NE Italy. For angiosperms, random forest models predicted a consistent shift toward more negative values in low-elevation areas, whereas for gymnosperms the pattern was more variable, particularly in the alpine sector (i.e., Alps and"],"journal":["Global change biology"],"pubmed_title":["Projections of leaf turgor loss point shifts under future climate change scenarios."],"pmcid":["PMC9825879"],"funding_grant_id":["MOBJD1030"],"pubmed_authors":["Di Bonaventura A","Pavanetto N","Nardini A","Tordoni E","Bacaro G","Petruzzellis F","Boscutti F","Tomasella M","Martini F"],"additional_accession":[]},"is_claimable":false,"name":"Projections of leaf turgor loss point shifts under future climate change scenarios.","description":"Predicting the consequences of climate change is of utmost importance to mitigate impacts on vulnerable ecosystems; plant hydraulic traits are particularly useful proxies for predicting functional disruptions potentially occurring in the near future. This study assessed the current and future regional patterns of leaf water potential at turgor loss point (Ψ<sub>tlp</sub> ) by measuring and projecting the Ψ<sub>tlp</sub> of 166 vascular plant species (159 angiosperms and 7 gymnosperms) across a large climatic range spanning from alpine to Mediterranean areas in NE Italy. For angiosperms, random forest models predicted a consistent shift toward more negative values in low-elevation areas, whereas for gymnosperms the pattern was more variable, particularly in the alpine sector (i.e., Alps and","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2025-04-05T10:27:07.134Z","creation":"2025-04-05T10:27:07.134Z"},"accession":"S-EPMC9825879","cross_references":{"pubmed":["36054311"],"doi":["10.1111/gcb.16400"]}}