4.8 Article

Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1525678113

关键词

meta-analysis; climate change; carbon cycle; climate extremes; biodiversity

资金

  1. Australian Research Council through the Australia-New Zealand Research Network for Vegetation Function
  2. TRY Initiative on Plant Traits
  3. DIVERSITAS/Future Earth
  4. German Centre for Integrative Biodiversity Research
  5. National Science Foundation Macrosystems Biology Grant [DEB EF-1340270]
  6. National Science Foundation RAPID Grant [DEB-1249256]
  7. National Oceanic and Atmospheric Administration Climate and Global Change Postdoctoral Fellowship
  8. Swiss National Fund Project FORCARB [31003A_14753/1]
  9. Plant Fellows Program of the Zurich-Basel Plant Science Center through the European Union Framework Programme 7 Marie Curie Action
  10. National Science Foundation [IOS-1147292]
  11. Australian Research Council [FT130101115]
  12. German Science Foundation
  13. Direct For Biological Sciences [1147292] Funding Source: National Science Foundation
  14. Division Of Integrative Organismal Systems [1147292] Funding Source: National Science Foundation
  15. Australian Research Council [FT130101115] Funding Source: Australian Research Council

向作者/读者索取更多资源

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.

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