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Title: Greening of the Earth and its drivers

Journal Article · · Nature Climate Change
DOI:https://doi.org/10.1038/nclimate3004· OSTI ID:1328357
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  1. Chinese Academy of Sciences (CAS), Beijing (China); Peking Univ., Beijing (China)
  2. Boston Univ., Boston, MA (United States)
  3. Peking Univ., Beijing (China)
  4. CSIRO Oceans and Atmosphere, Canberra Australian Capital Territory (Australia)
  5. Peking Univ., Beijing (China); Lab. des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS UVSQ, Gif Sur Yvette (France)
  6. Univ. of Exeter, Exeter (United Kingdom)
  7. Karlsruhe Institute of Technology, Garmisch-Partenkirchen (Germany)
  8. Chinese Academy of Sciences (CAS), Beijing (China)
  9. CSIRO Land and Water, Canberra (Australia)
  10. Institute of Applied Energy (IAE), Tokyo (Japan)
  11. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  12. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  13. Beijing Normal Univ., Beijing (China)
  14. CSIC, Global Ecology Unit CREAF-CEAB-UAB, Catalonia (Spain); CREAF, Catalonia (Spain)
  15. Montana State Univ., Bozeman, MT (United States)
  16. Karlsruhe Institute of Technology, Garmisch-Partenkirchen (Germany); Univ. of Birmingham, Birmingham (United Kingdom)
  17. Imperial College London, Ascot (United Kingdom); Univ. of Bern, Bern (Switzerland)
  18. Lab. des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS UVSQ, Gif Sur Yvette (France)
  19. CSIRO Oceans and Atmosphere, Aspendale, VIC (Australia)
  20. Max-Planck-Institut fur Biogeochemie, Jena (Germany)
  21. Univ. of Maryland, College Park, MD (United States)

Global environmental change is rapidly altering the dynamics of terrestrial vegetation, with consequences for the functioning of the Earth system and provision of ecosystem services1, 2. Yet how global vegetation is responding to the changing environment is not well established. Here we use three long-term satellite leaf area index (LAI) records and ten global ecosystem models to investigate four key drivers of LAI trends during 1982 2009. We show a persistent and widespread increase of growing season integrated LAI (greening) over 25% to 50% of the global vegetated area, whereas less than 4% of the globe shows decreasing LAI (browning). Factorial simulations with multiple global ecosystem models suggest that CO2 fertilization effects explain 70% of the observed greening trend, followed by nitrogen deposition (9%), climate change (8%) and land cover change (LCC) (4%). CO2 fertilization effects explain most of the greening trends in the tropics, whereas climate change resulted in greening of the high latitudes and the Tibetan Plateau. LCC contributed most to the regional greening observed in southeast China and the eastern United States. In conclusion, the regional effects of unexplained factors suggest that the next generation of ecosystem models will need to explore the impacts of forest demography, differences in regional management intensities for cropland and pastures, and other emerging productivity constraints such as phosphorus availability.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-00OR22725; AC02-05CH11231
OSTI ID:
1328357
Alternate ID(s):
OSTI ID: 1439992
Journal Information:
Nature Climate Change, Vol. 6, Issue 8; ISSN 1758-678X
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 1406 works
Citation information provided by
Web of Science

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Earth’s Climate System book January 2017
Potential roles of CO2 fertilization, nitrogen deposition, climate change, and land use and land cover change on the global terrestrial carbon uptake in the twenty-first century journal August 2018
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The response of vegetation to rising CO2 concentrations plays an important role in future changes in the hydrological cycle journal April 2018
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