Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-9973-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-9973-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improving photosynthate allocation dynamic simulations of crops under water stress conditions
Laboratory of Atmospheric Boundary Layer, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Meteorological Service Center for the Core Areas of the Capital, Beijing Meteorological Service, Beijing 100029, China
Wen Zhang
Laboratory of Atmospheric Boundary Layer, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Yongqiang Yu
Laboratory of Atmospheric Boundary Layer, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Laboratory of Atmospheric Boundary Layer, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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Short summary
This study improves the Agro-C model to better represent how crops respond to changing soil moisture. The updated model adjusts carbon allocation between roots and leaves according to soil moisture and growth stage, and also accounts for leaf aging under water stress. Tests with field data for maize and wheat showed better predictions of plant growth above and below ground. The results can improve estimates of crop production and soil carbon storage under future drought and climate change.
This study improves the Agro-C model to better represent how crops respond to changing soil...