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      Tree height explains mortality risk during an intense drought

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          Abstract

          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.

          Abstract

          Drought is intensifying due to climate change, impacting forests globally. Here, the authors track nearly 2 million trees through severe drought and show that tree height is the greatest predictor of mortality risk, suggesting that the tallest trees may be the most vulnerable.

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          Most cited references22

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          Regional vegetation die-off in response to global-change-type drought.

          Future drought is projected to occur under warmer temperature conditions as climate change progresses, referred to here as global-change-type drought, yet quantitative assessments of the triggers and potential extent of drought-induced vegetation die-off remain pivotal uncertainties in assessing climate-change impacts. Of particular concern is regional-scale mortality of overstory trees, which rapidly alters ecosystem type, associated ecosystem properties, and land surface conditions for decades. Here, we quantify regional-scale vegetation die-off across southwestern North American woodlands in 2002-2003 in response to drought and associated bark beetle infestations. At an intensively studied site within the region, we quantified that after 15 months of depleted soil water content, >90% of the dominant, overstory tree species (Pinus edulis, a piñon) died. The die-off was reflected in changes in a remotely sensed index of vegetation greenness (Normalized Difference Vegetation Index), not only at the intensively studied site but also across the region, extending over 12,000 km2 or more; aerial and field surveys confirmed the general extent of the die-off. Notably, the recent drought was warmer than the previous subcontinental drought of the 1950s. The limited, available observations suggest that die-off from the recent drought was more extensive than that from the previous drought, extending into wetter sites within the tree species' distribution. Our results quantify a trigger leading to rapid, drought-induced die-off of overstory woody plants at subcontinental scale and highlight the potential for such die-off to be more severe and extensive for future global-change-type drought under warmer conditions.
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            A general model for the structure and allometry of plant vascular systems

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              EBImage—an R package for image processing with applications to cellular phenotypes

              Summary: EBImage provides general purpose functionality for reading, writing, processing and analysis of images. Furthermore, in the context of microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and use of existing tools in the R environment for signal processing, statistical modeling, machine learning and data visualization. Availability: EBImage is free and open source, released under the LGPL license and available from the Bioconductor project (http://www.bioconductor.org/packages/release/bioc/html/EBImage.html). Contact: gregoire.pau@ebi.ac.uk
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                Author and article information

                Contributors
                atticus.e.stovall@nasa.gov
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                26 September 2019
                26 September 2019
                2019
                : 10
                : 4385
                Affiliations
                [1 ]ISNI 0000 0004 0637 6666, GRID grid.133275.1, NASA Goddard Space Flight Center, ; 8800 Greenbelt Rd., Greenbelt, MD USA
                [2 ]ISNI 0000 0000 9136 933X, GRID grid.27755.32, Department of Environmental Sciences, , University of Virginia, ; 291 McCormick Rd., Charlottesville, VA USA
                Author information
                http://orcid.org/0000-0001-9512-3318
                http://orcid.org/0000-0002-1766-8379
                http://orcid.org/0000-0002-5095-6735
                Article
                12380
                10.1038/s41467-019-12380-6
                6763443
                31558795
                3b5a2827-c38c-4566-b196-b9f116e216d6
                © 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/.

                History
                : 25 March 2019
                : 6 September 2019
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                © The Author(s) 2019

                Uncategorized
                climate-change ecology,ecophysiology,forest ecology
                Uncategorized
                climate-change ecology, ecophysiology, forest ecology

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