Plausible impacts on crop production under climate change in Bangladesh: An analysis of the Denitrification-Decomposition (DNDC) model

  • Syed ShoyebHossain The Institute of Agricultural Economics and Development, The Chinese Academy of Agriculture Science, Beijing, China
Keywords: Bangladesh; climate change; crop yield; Denitriffcation-Decomposition (DNDC) model


This paper ffrst analyzes the changing pattern of temperature and precipitation and then constructs a Denitriffcation-Decomposition (DNDC) model to better understand the climate change impact on crop yields in Bangladesh. In the DNDC model, historical daily precipitation and temperature data used for baseline scenario and projected data have been taken from general circulation model (GCM). Different general circulation models (GCM) have been employed to analyze and estimate future temperatures and precipitations. The result of the general circulation model (GCM) study ffnds that the overall temperature in Bangladesh tends to increase by 1.5 0C and 2.8 0 C in the years 2030 and 2050. Precipitation patterns are also projected to increase in 2030 and 2050. The result from the Denitriffcation-Decomposition (DNDC) model ffnds that overall rice, corn, winter wheat, potato, vegetable, and pulses yields decrease both in 2030 and 2050, and decrease more rapidly in 2050. In the year 2050, the output of rice, potatoes, and pulses falls by -33%, -35%, and -54%, respectively, while the production of corn and wheat falls by -22% collectively. Since rice is the main food consumed in Bangladesh, a decline in rice output will pose a serious threat to the country's ability to feed itself.


1. Ali, A. ( 1999). Climate change impacts and adaptation assessment in Bangladesh. Climate Research, 12, 109– 116.

2. Babu, Y.J., Li, C., Frolking, S., Nayak, D.R., & Adhya, T. K. (2006). Field Validation of DNDC Model for Methane and Nitrous Oxide Emissions from Rice-based Production Systems of India. Nutrient Cycling in Agroecosystems, 74(2), 157– 174.

3. Basak, J.K., Ali, M.A., Islam, M.N., & Rashid, M.A. (2010). Assessment of the effect of climate change on boro rice production in Bangladesh using DSSAT model. Journal of Civil Engineering, 38 (2), 95- 108.

4. Beheydt, D., Boeckx, P., Sleutel, S., Li, C., & VanCleemput, O. (2007). Validation of DNDC for 22 longterm N2O ffeld emission measurements. Atmospheric Environment, 41(29), 6196–6211.

5. Fumoto, T., Kobayashi, K., Li, C., Yagi, K., & Hasegawa, T. (2007). Revising a process-based biogeochemistry model (DNDC) to simulate methane emission from rice paddy ffelds under various residue management and fertilizer regimes. Global Change Biology, 14(2), 382–402.

6. Gilhespy, S.L., Anthony, S., Cardenas, L., Chadwick, D., del Prado, A., Li, C., & Yeluripati, J. B. (2014). First 20 years of DNDC (DeNitriffcation DeComposition): Model evolution. Ecological Modelling, 292, 51–62.

7. Giltrap, D.L., Li, C., & Saggar, S. (2010). DNDC: A process-based model of greenhouse gas ffuxes from agricultural soils. Agriculture, Ecosystems & Environment, 136(3-4), 292–300.

8. Hossain, S. S., Cui, Y., Delin, H., & Zhang, X. (2023). The economic inffuence of climate change on Bangladesh agriculture: application of a dynamic computable general equilibrium model. International Journal of Climate Change Strategies and Management, 15(3), 353-370.

9. Hossain, S. S., Delin, H., & Mingying, M. (2022). Aftermath of climate change on Bangladesh economy:an analysis of the dynamic computable general equilibrium model. Journal of Water and Climate Change, 13(7), 2597-2609.

10. Kröbel, R., Smith, W., Grant, B., Desjardins, R., Campbell, C., Tremblay, N., Li, C., Zentner, R., & McConkey, B. (2011). Development and evaluation of a new Canadian spring wheat sub-model for DNDC. Canadian Journal of Soil Science, 91(4), 503–520.

11. Karim, Z., Hussain S.G., & Ahmed M., ( 1996). Assessing impacts of climate variations on food grain production in Bangladesh Water, Air, and Soil Pollution, 92:53-62.

12. Karim, M.R., Ishikawa, M., Ikeda, M., & Islam, M.T. (2012). Climate change model predicts 33 % rice yield decrease in 2100 in Bangladesh. Agronomy for Sustainable Development, 32(4), 821–830.

13. Liu, Y., Yu, Z., Chen, J., Zhang, F., Doluschitz, R., & Axmacher, J. C. (2006). Changes of soil organic carbon in an intensively cultivated agricultural region: A denitriffcation–decomposition (DNDC) modelling approach. Science of The Total Environment, 372( 1), 203–214.

14. Li, C. (2007). Quantifying greenhouse gas emissions from soils: Scientiffc basis and modeling approach. Soil Science and Plant Nutrition, 53(4), 344–352.

15. Li, C. (2012). User’s Guide for the DNDC Model; version 9.5. Institute for the Study of Earth, Oceans and Space, University of New Hampshire: Durham, NC, USA.

16. Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., ... & Zhou, B. (2021). Climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, 2.

17. Pathak, H., Li, C., & Wassmann, R. (2005. Greenhouse gas emissions from Indian rice ffelds: calibration and upscaling using the DNDC model, Biogeosciences, 1, 1– 11.

18. Qiu, J., Li, C., Wang, L., Tang, H., Li, H., & Van Ranst, E. (2009). Modeling impacts of carbon sequestration on net greenhouse gas emissions from agricultural soils in China. Global Biogeochemical Cycles, 23( 1), n/a– n/a.

19. Qiu, J., Li, C., Ligang, W., & Junhua, T. (2005). Studies on the Situation of Soil Organic Carbon Storage in Croplands in Northeast of China. Agricultural Sciences in China, 4( 1): 101- 105.

20. Rahman, A., Mojid, M.A., & Selina Banu, S. (2018). Climate change impact assessment on three major crops in the north-central region of Bangladesh using DSSAT. International Journal of Agricultural and Biological Engineering, Vol. 11 No.4

21. Sarker, M.A.R., Alam, K., & Gow, J. (2012). Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data. Agricultural Systems, 112, 11– 16.

22. Smith, W.N., Qi, Z., Grant, B.B., He, W., VanderZaag, A., Drury, C. F., & Helmers, M. (2019). Towards improving the DNDC model for simulating soil hydrology and tile drainage, Boston, Massachusetts.

23. Smith, W.N., Desjardins, R.L., Grant, B., Li, C., Lemke, R., Rochette, P., & Pennock, D. (2002). Testing the DNDC model using N2O emissions at two experimental sites in Canada. Canadian Journal of Soil Science, 82(3), 365–374.

24. Saggar, S., Andrew, R.M., Tate, K.R., Hedley, C.B., Rodda, N.J., & Townsend, J.A. (2004). Modelling nitrous oxide emissions from dairy-grazed pastures. Nutrient Cycling in Agroecosystems, 68(3), 243–255.

25. Tonitto, C., David, M.B., Li, C., & Drinkwater, L.E. (2007). Application of the DNDC model to tiledrained Illinois agroecosystems: model comparison of conventional and diversiffed rotations. Nutrient Cycling in Agroecosystems, 78( 1), 65–81.

26. Watts, D.G., & Hanks, R.J. ( 1978). A Soil-Water-Nitrogen Model for Irrigated Corn on Sandy Soils1. Soil Science Society of America Journal, 42(3), 492.

27. Wang, L., Qiu, J., Tang, H., Li, H., Li, C., & Van Ranst, E. (2008). Modelling soil organic carbon dynamics in the major agricultural regions of China. Geoderma, 147( 1-2), 47–55.

28. Zhang, Y., Li, C., Zhou, X., & Moore III, B. (2002). A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture. Ecological Modelling, 151( 1), 75– 108.