Show simple item record

dc.contributor.author Anderegg, William R. L.
dc.contributor.author Klein, Tamir
dc.contributor.author Bartlett, Megan
dc.contributor.author Sack, Lawren
dc.contributor.author Pellegrini, Adam F. A.
dc.contributor.author Choat, Brendan
dc.contributor.author Jansen, Steven
dc.date.accessioned 2016-04-19T11:55:02Z
dc.date.available 2016-04-19T11:55:02Z
dc.date.issued 2016-04-18
dc.identifier doi:10.5061/dryad.116j2
dc.identifier.citation Anderegg WRL, Klein T, Bartlett M, Sack L, Pellegrini AFA, Choat B, Jansen S (2016) Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe. Proceedings of the National Academy of Sciences of the United States of America 113(18): 5024–5029.
dc.identifier.uri http://hdl.handle.net/10255/dryad.112325
dc.description Drought-induced tree mortality has been observed globally and is expected to increase under climate change scenarios, with large potential consequences for the terrestrial carbon sink. Predicting mortality across species is crucial for assessing the effects of climate extremes on forest community biodiversity, composition, and carbon sequestration. However, the physiological traits associated with elevated risk of mortality in diverse ecosystems remain unknown, although these traits could greatly improve understanding and prediction of tree mortality in forests. We performed a meta-analysis on species’ mortality rates across 475 species from 33 studies around the globe to assess which traits determine a species’ mortality risk. We found that species-specific mortality anomalies from community mortality rate in a given drought were associated with plant hydraulic traits. Across all species, mortality was best predicted by a low hydraulic safety margin—the difference between typical minimum xylem water potential and that causing xylem dysfunction—and xylem vulnerability to embolism. Angiosperms and gymnosperms experienced roughly equal mortality risks. Our results provide broad support for the hypothesis that hydraulic traits capture key mechanisms determining tree death and highlight that physiological traits can improve vegetation model prediction of tree mortality during climate extremes.
dc.relation.haspart doi:10.5061/dryad.116j2/1
dc.relation.isreferencedby doi:10.1073/pnas.1525678113
dc.relation.isreferencedby PMID:27091965
dc.title Data from: Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe
dc.type Article
prism.publicationName Proceedings of the National Academy of Sciences of the United States of America
dryad.dansTransferDate 2018-05-09T03:04:50.027+0000
dryad.dansEditIRI https://easy.dans.knaw.nl/sword2/container/a2bef3e8-0c67-4175-b289-24d7ca0b9037
dryad.dansTransferFailed 2018-05-02T05:27:39.618+0000
dryad.dansArchiveDate 2018-05-09T06:04:24.186+0000

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Anderegg_Dryad_MortalityDatabase_v1_3-2016
Downloaded 142 times
Description Mortality data from Anderegg et al. 2016 PNAS. See publication for details.
Download Anderegg_Dryad_MortalityDatabase_v1_3-2016.xlsx (113.6 Kb)
Details View File Details

Search for data

Be part of Dryad

We encourage organizations to: