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Remotely sensed predictors of conifer tree mortality during severe drought

Bibliographic Data

ID15545142
AuthorsPhilip G Brodrick (0000-0001-9497-7661, Carnegie Institution for Science, corresponding author), Gregory P Asner (0000-0001-7893-6421, Carnegie Institution for Science)
Year2017
Volume12
Issue11
Pages115013-115013
Publication date2017-09-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aa8f55
OpenAlexW2757168163
LanguageEN
Citations received3
References cited26

Widespread, drought-induced forest mortality has been documented on every forested continent over the last two decades, yet early pre-mortality indicators of tree death remain poorly understood. Remotely sensed physiological-based measures offer a means for large-scale analysis to understand and predict drought-induced mortality. Here, we use laser-guided imaging spectroscopy from multiple years of aerial surveys to assess the impact of sustained canopy water loss on tree mortality. We analyze both gross canopy mortality in 2016 and the change in mortality between 2015 and 2016 in millions of sampled conifer forest locations throughout the Sierra Nevada mountains in California. On average, sustained water loss and gross mortality are strongly related, and year-to-year water loss within the drought indicates subsequent mortality. Both relationships are consistent after controlling for location and tree community composition, suggesting that these metrics may serve as indicators of mortality during a drought

Biology · Canopy · Geography · Mortality rate · Physical geography · Tree canopy · Environmental Science · Fire effects on ecosystems · Forest ecology and management · Plant Water Relations and Carbon Dynamics · Demography · Ecology

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Unique citing works3
Citations per year0,5
Citation span2020 - 2022 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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