The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Tree height explains mortality risk during an intense drought
Open accessAbstract
Forest mortality is accelerating due to climate change and the largest trees may be at the greatest risk, threatening critical ecological, economic, and social benefits. Here, we combine high-resolution airborne LiDAR and optical data to track tree-level mortality rates for ~2 million trees in California over 8 years, showing that tree height is the strongest predictor of mortality during extreme drought. Large trees die at twice the rate of small trees and environmental gradients of temperature, water, and competition control the intensity of the height-mortality relationship. These findings suggest that future persistent drought may cause widespread mortality of the largest trees on Earth.
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Cited by
Plant responses to rising vapor pressure deficit
Grossiord, C., Buckley, T. N., Cernusak, L. A., Novick, K. A., Poulter, B., Siegwolf, R. T. W., Sperry, J. S., & McDowell, N. G. (2020) · New Phytologist · doi:10.1111/nph.16485 · Cited by 2,302
A first assessment of the impact of the extreme 2018 summer drought on Central European forests
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Forest carbon sink neutralized by pervasive growth-lifespan trade-offs
Brienen, R. J. W., Caldwell, L., Duchesne, L., Voelker, S., Barichivich, J., Baliva, M., Ceccantini, G., Di Filippo, A., Helama, S., Locosselli, G. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17966-z · Cited by 287
Metadata
- Authors
- Stovall, A. E. L., Shugart, H., & Yang, X.
- Venue
- Nature Communications
- Published
- 2019-09-26
- Volume
- 10
- Issue
- 1
- Pages
- 4385-4385
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2975724454
- Cited by
- 375
- References
- 37
- FWCI
- 20.41
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.