Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5567-2022
https://doi.org/10.5194/gmd-15-5567-2022
Development and technical paper
 | 
20 Jul 2022
Development and technical paper |  | 20 Jul 2022

Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation

Rebecca J. Oliver, Lina M. Mercado, Doug B. Clark, Chris Huntingford, Christopher M. Taylor, Pier Luigi Vidale, Patrick C. McGuire, Markus Todt, Sonja Folwell, Valiyaveetil Shamsudheen Semeena, and Belinda E. Medlyn

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Cited articles

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Atkin, O. K., Scheurwater, I., and Pons, T. L.: High thermal acclimation potential of both photosynthesis and respiration in two lowland Plantago species in contrast to an alpine congeneric, Glob. Change Biol., 12, 500–515, https://doi.org/10.1111/j.1365-2486.2006.01114.x, 2006. 
Ball, M. C., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions, in: Progress in Photosynthesis Research, edited by: Biggins, J., Martinus Nijhoff Publishers, Dordrecht, the Netherlands, 221–224, https://doi.org/10.1007/978-94-017-0519-6_48, 1987. 
Benomar, L., Lamhamedi, M. S., Pepin, S., Rainville, A., Lambert, M.-C., Margolis, H. A., Bousquet, J., and Beaulieu, J.: Thermal acclimation of photosynthesis and respiration of southern and northern white spruce seed sources tested along a regional climatic gradient indicates limited potential to cope with temperature warming, Ann. Bot.-London, 121, 443–457, https://doi.org/10.1093/aob/mcx174, 2017. 
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Short summary
We introduce new representations of plant physiological processes into a land surface model. Including new biological understanding improves modelled carbon and water fluxes for the present in tropical and northern-latitude forests. Future climate simulations demonstrate the sensitivity of photosynthesis to temperature is important for modelling carbon cycle dynamics in a warming world. Accurate representation of these processes in models is necessary for robust predictions of climate change.