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Tree height explains mortality risk during an intense drought

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 Calif...

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Autores principales: Stovall, Atticus E. L., Shugart, Herman, Yang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763443/
https://www.ncbi.nlm.nih.gov/pubmed/31558795
http://dx.doi.org/10.1038/s41467-019-12380-6
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author Stovall, Atticus E. L.
Shugart, Herman
Yang, Xi
author_facet Stovall, Atticus E. L.
Shugart, Herman
Yang, Xi
author_sort Stovall, Atticus E. L.
collection PubMed
description 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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spelling pubmed-67634432019-09-30 Tree height explains mortality risk during an intense drought Stovall, Atticus E. L. Shugart, Herman Yang, Xi Nat Commun Article 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. Nature Publishing Group UK 2019-09-26 /pmc/articles/PMC6763443/ /pubmed/31558795 http://dx.doi.org/10.1038/s41467-019-12380-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Stovall, Atticus E. L.
Shugart, Herman
Yang, Xi
Tree height explains mortality risk during an intense drought
title Tree height explains mortality risk during an intense drought
title_full Tree height explains mortality risk during an intense drought
title_fullStr Tree height explains mortality risk during an intense drought
title_full_unstemmed Tree height explains mortality risk during an intense drought
title_short Tree height explains mortality risk during an intense drought
title_sort tree height explains mortality risk during an intense drought
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763443/
https://www.ncbi.nlm.nih.gov/pubmed/31558795
http://dx.doi.org/10.1038/s41467-019-12380-6
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