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Title: Global patterns of extreme drought-induced loss in land primary production: Identifying ecological extremes from rain-use efficiency

Journal Article · · Science of the Total Environment
ORCiD logo [1];  [2]; ORCiD logo [1]; ORCiD logo [3];  [1];  [1];  [1]; ORCiD logo [4];  [5]
  1. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology
  2. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology; US Geological Survey, West Glacier, MT (United States). Northern Rocky Mountain Science Center
  3. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology; Lab. des Sciences du Climat et de l'Environnement, Gif sur Yvette (France)
  4. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division & Climate Change Science Inst.
  5. Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology; Tsinghua Univ., Beijing (China). Dept. of Earth System Science

Quantifying the ecological patterns of loss of ecosystem function in extreme drought is important to understand the carbon exchange between the land and atmosphere. Rain-use efficiency [RUE; gross primary production (GPP)/precipitation] acts as a typical indicator of ecosystem function. Here in this study, a novel method based on maximum rain-use efficiency (RUEmax) was developed to detect losses of ecosystem function globally. Three global GPP datasets from the MODIS remote sensing data (MOD17), ground upscaling FLUXNET observations (MPI-BGC), and process-based model simulations (BESS), and a global gridded precipitation product (CRU) were used to develop annual global RUE datasets for 2001–2011. Large, well-known extreme drought events were detected, e.g. 2003 drought in Europe, 2002 and 2011 drought in the U.S., and 2010 drought in Russia. Our results show that extreme drought-induced loss of ecosystem function could impact 0.9% ± 0.1% of earth's vegetated land per year and was mainly distributed in semi-arid regions. The reduced carbon uptake caused by functional loss (0.14 ± 0.03 PgC/yr) could explain >70% of the interannual variation in GPP in drought-affected areas (p ≤ 0.001). Our results highlight the impact of ecosystem function loss in semi-arid regions with increasing precipitation variability and dry land expansion expected in the future.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725; SC00114085
OSTI ID:
1468034
Alternate ID(s):
OSTI ID: 1682431
Journal Information:
Science of the Total Environment, Vol. 628-629, Issue C; ISSN 0048-9697
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 59 works
Citation information provided by
Web of Science

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Cited By (6)

The potential for water stewardship partnership in Kenya journal June 2019
How ecologists define drought, and why we should do better journal July 2019
Precipitation amount and event size interact to reduce ecosystem functioning during dry years in a mesic grassland journal August 2019
Contrasting Performance of the Remotely-Derived GPP Products over Different Climate Zones across China journal August 2019
Changes of Grassland Rain Use Efficiency and NDVI in Northwestern China from 1982 to 2013 and Its Response to Climate Change journal November 2018
Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland journal November 2018