Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 815–839, 2022
https://doi.org/10.5194/gmd-15-815-2022
Geosci. Model Dev., 15, 815–839, 2022
https://doi.org/10.5194/gmd-15-815-2022
Model evaluation paper
28 Jan 2022
Model evaluation paper | 28 Jan 2022

Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285)

Jianyong Ma et al.

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Cited articles

Abu-shakra, S. S., Phillips, D. A., and Huffaker, R. C.: Nitrogen Fixation and Delayed Leaf Senescence in Soybeans, Science, 199, 973–975, 1978. 
Ainsworth, E. A. and Long, S. P.: What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2, New Phytol., 165, 351–371, https://doi.org/10.1111/j.1469-8137.2004.01224.x, 2005. 
Ainsworth, E. A., Rogers, A., Leakey, A. D. B., Heady, L. E., Gibon, Y., Stitt, M., and Schurr, U.: Does elevated atmospheric [CO2] alter diurnal C uptake and the balance of C and N metabolites in growing and fully expanded soybean leaves?, J. Exp. Bot., 58, 579–591, https://doi.org/10.1093/jxb/erl233, 2007.  
Becker, M., Ladha, J. K., and Ali, M.: Green manure technology: Potential, usage, and limitations. A case study for lowland rice, Plant Soil, 174, 181–194, 1995. 
Boote, K. J., Mínguez, M. I., and Sau, F.: Adapting the CROPGRO legume model to simulate growth of faba bean, Agron. J., 94, 743–756, https://doi.org/10.2134/agronj2002.7430, 2002. 
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Short summary
The implementation of the biological N fixation process in LPJ-GUESS in this study provides an opportunity to quantify N fixation rates between legumes and to better estimate grain legume production on a global scale. It also helps to predict and detect the potential contribution of N-fixing plants as green manure to reducing or removing the use of N fertilizer in global agricultural systems, considering different climate conditions, management practices, and land-use change scenarios.