Global patterns of drought recovery

Christopher R. Schwalm, William R.L. Anderegg, Anna M. Michalak, Joshua B. Fisher, Franco Biondi, George Koch, Marcy Litvak, Kiona Ogle, John D. Shaw, Adam Wolf, Deborah N. Huntzinger, Kevin Schaefer, Robert Cook, Yaxing Wei, Yuanyuan Fang, Daniel Hayes, Maoyi Huang, Atul Jain, Hanqin Tian

Research output: Contribution to journalArticlepeer-review

637 Scopus citations

Abstract

Drought, a recurring phenomenon with major impacts on both human and natural systems, is the most widespread climatic extreme that negatively affects the land carbon sink. Although twentieth-century trends in drought regimes are ambiguous, across many regions more frequent and severe droughts are expected in the twenty-first century. Recovery time - how long an ecosystem requires to revert to its pre-drought functional state - is a critical metric of drought impact. Yet the factors influencing drought recovery and its spatiotemporal patterns at the global scale are largely unknown. Here we analyse three independent datasets of gross primary productivity and show that, across diverse ecosystems, drought recovery times are strongly associated with climate and carbon cycle dynamics, with biodiversity and CO 2 fertilization as secondary factors. Our analysis also provides two key insights into the spatiotemporal patterns of drought recovery time: first, that recovery is longest in the tropics and high northern latitudes (both vulnerable areas of Earth's climate system) and second, that drought impacts (assessed using the area of ecosystems actively recovering and time to recovery) have increased over the twentieth century. If droughts become more frequent, as expected, the time between droughts may become shorter than drought recovery time, leading to permanently damaged ecosystems and widespread degradation of the land carbon sink.

Original languageEnglish
Pages (from-to)202-205
Number of pages4
JournalNature
Volume548
Issue number7666
DOIs
StatePublished - Aug 9 2017

Funding

For this research was provided by the National Science Foundation (NSF) grant DEB EF-1340270. C.R.S. was also supported by National Aeronautics and Space Administration (NASA) grants NNX12AK12G, NNX12AP74G, NNX10AG01A and NNX11AO08A. J.B.F. contributed to this paper from the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Government sponsorship acknowledged. Support was provided to J.B.F. by NASA grants NNN13D504T (CARBON), NNN13D202T (INCA), and NNN13D503T (SUSMAP). Funding for the MsTMIP activity was provided through NASA grant NNX10AG01A. Data management support for preparing, documenting and distributing model driver and output data was performed by the Modeling and Synthesis Thematic Data Center at Oak Ridge National Laboratory (http://nacp.ornl.gov), with funding through NASA grant NNH10AN681.

FundersFunder number
National Science Foundation1243071, DEB EF-1340270
National Aeronautics and Space AdministrationNNN13D202T, NNX10AG01A, NNN13D504T, NNX11AO08A, NNX12AP74G, NNX12AK12G
Oak Ridge National LaboratoryNNH10AN681
CNIBNNN13D503T

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