TY - JOUR
T1 - Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe
AU - Anderegg, William R. L.
AU - Klein, Tamir
AU - Bartlett, Megan
AU - Sack, Lawren
AU - Pellegrini, Adam F. A.
AU - Choat, Brendan
AU - Jansen, Steven
N1 - Australian Research Council through the Australia-New Zealand Research Network for Vegetation Function; TRY Initiative on Plant Traits; DIVERSITAS/Future Earth; German Centre for Integrative Biodiversity Research; National Science Foundation Macrosystems Biology Grant [DEB EF-1340270]; National Science Foundation RAPID Grant [DEB-1249256]; National Oceanic and Atmospheric Administration Climate and Global Change Postdoctoral Fellowship; Swiss National Fund Project FORCARB [31003A_14753/1]; Plant Fellows Program of the Zurich-Basel Plant Science Center through the European Union Framework Programme 7 Marie Curie Action; National Science Foundation [IOS-1147292]; Australian Research Council [FT130101115]; German Science Foundation
PY - 2016/5
Y1 - 2016/5
N2 - 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.
AB - 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.
U2 - https://doi.org/10.1073/pnas.1525678113
DO - https://doi.org/10.1073/pnas.1525678113
M3 - مقالة
SN - 0027-8424
VL - 113
SP - 5024
EP - 5029
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 18
ER -