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D. Bozhinova, M. Combe, S. W. L. Palstra, H. A. J. Meijer, M. C. Krol and W. Peters The importance of crop growth modeling to interpret the Δ14CO2 signature of annual plants Global Biogeochemical Cycles 27

Article first published online: 30 AUG 2013 | DOI: 10.1002/gbc.20065

  • We advise to use crop models to simulate the 14C content of plant samples
  • Plant phenology results in different 14C signal in the plant organs
  • Weather variations induce spatial gradients in crop growth and thus 14C content

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