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Title: A roadmap for improving the representation of photosynthesis in Earth System Models

Journal Article · · New Phytologist (Online)
DOI:https://doi.org/10.1111/nph.14283· OSTI ID:1330501
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [1];  [12];  [13];  [14]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Univ. of Western Sydney, Penrith (Australia)
  3. Purdue Univ., West Lafayette, IN (United States)
  4. National Center for Atmospheric Research, Boulder, CO (United States)
  5. The Australian National Univ., Canberra, ACT (Australia)
  6. Boston Univ., Boston, MA (United States)
  7. Max Planck Institute for Biogeochemistry, Jena (Germany); German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig (Germany)
  8. Univ. of Illinois at Urbana-Champaign, Champaign, IL (United States)
  9. Univ. of Exeter, Exeter (United Kingdom); Centre for Ecology and Hydrology, Wallingford (United Kingdom)
  10. Estonian Univ. of Life Sciences, Tartu (Estonia)
  11. Imperial College London, Ascot (United Kingdom); Macquarie Univ. North Ryde, NSW (Australia); Northwest Agriculture & Forestry Univ., Yangling (China)
  12. Univ. of Exeter, Exeter (United Kingdom)
  13. Duke Univ., Durham, NC (United States)
  14. Max Planck Institute for Biogeochemistry, Jena (Germany)

Summary Accurate representation of photosynthesis in terrestrial biosphere models ( TBM s) is essential for robust projections of global change. However, current representations vary markedly between TBM s, contributing uncertainty to projections of global carbon fluxes. Here we compared the representation of photosynthesis in seven TBM s by examining leaf and canopy level responses of photosynthetic CO 2 assimilation ( A ) to key environmental variables: light, temperature, CO 2 concentration, vapor pressure deficit and soil water content. We identified research areas where limited process knowledge prevents inclusion of physiological phenomena in current TBM s and research areas where data are urgently needed for model parameterization or evaluation. We provide a roadmap for new science needed to improve the representation of photosynthesis in the next generation of terrestrial biosphere and Earth system models.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC00112704; DE‐SC00112704
OSTI ID:
1330501
Alternate ID(s):
OSTI ID: 1401258
Report Number(s):
BNL-113144-2016-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Journal Information:
New Phytologist (Online), Vol. 213, Issue 1; ISSN 1469-8137
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 292 works
Citation information provided by
Web of Science

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