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Revisiting assessments of ecosystem drought recovery

Bibliographic Data

ID15548129
AuthorsLaibao Liu (0000-0001-9140-0509, ETH Zurich, corresponding author), Lukas Gudmundsson (0000-0003-3539-8621, ETH Zurich), Michael Hauser (0000-0002-0057-4878, ETH Zurich), Mathias Hauser, Dahe Qin (Peking University), Shuangcheng Li (0000-0001-5684-0533, Peking University, corresponding author), Sonia I Seneviratne (0000-0001-9528-2917, ETH Zurich)
Year2019
Volume14
Issue11
Pages114028-114028
Publication date2019-10-10
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/ab4c61
OpenAlexW2979834020
LanguageEN
Citations received2
References cited44

The time taken for ecosystems to recover from drought (drought recovery time) is critically important for the ecosystem state. However, recent literature presents contradictory conclusions on this feature: one study concludes that drought recovery time in the tropics and high northern latitudes is shortest ( 12 months) in these regions. Here we explore the reasons for these contradictory results and revisit assessments of drought recovery time. We find that the study period, drought identification method and recovery level definition are main factors contributing to the contradictory conclusions. Further, we emphasize that including droughts that did not decrease ecosystem production or using a period of abnormal water availability to define ecosystem recovery level can strongly bias drought recovery time estimates. Based on our refined methods, we find the drought recovery time is also longest in some tropical regions but not in high northern latitudes during 1901–2010. Our study helps to resolve the recent controversy and provides insight for future drought recovery assessments

Biology · Ecosystem · Environmental resource management · Geography · High latitude · Identification (biology · Latitude · Period (music · Tropics · Climate variability and models · Environmental Science · Hydrology and Drought Analysis · Plant Water Relations and Carbon Dynamics · Ecology

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Unique citing works2
Citations per year0.4
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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