Investigating the Impact of Climate Change on Irrigated Wheat Production under Torbat-e Jam Region for the Near Future

پژوهشهای زراعی ایران

Article 12, Volume 17, Issue 1 - Serial Number 53, April 2019, Pages 169-186   

Document Type: Research Article

DOI: 10.22067/gsc.v17i1.74284

Authors

S. F Saberali^{* 1}; H Nastari nasrabadi; M Dostkhah -Ahmadi²

¹High Educational Complex of Torbat-e Jam

²Department of Agricultural Jihad, Torbat-e Jam

Abstract

Introduction: Wheat production is an important component for national food security. Studying the impact of future climate change on crop production is crucial to manage crop productivity. Improving our understanding of potential responses of the wheat plant to these changes while taking into consideration agricultural management is required for identifying best adaptation strategies. In Khorasan Razavi province, over 12% of the total cultivated wheat area is belong to Torbat-e Jam region. The current study aimed to quantify the potential impacts of climate change on irrigated wheat yield in the next 30 years for this region.
Materials and Methods: In this study, information on regional cropping systems and meteorological data to study the effects of climate change were collected and finally, the impact of climate change on irrigated wheat yield was studied using simulation approaches under different climatic scenarios. Long-term daily weather data for future was generated using MarkSim weather generator software and the past meteorological data was gathered from regional weather station. Daily weather data generated by four scenarios RCP2.6, RCP4.5, RCP6, and RCP8.5 for a 30-year period. The generated and measured daily weather data was used for running CERES-Wheat model. Finally, crop model outputs were used to interpret climate change impacts on wheat growth and production.
Results and Discussion: The average air temperature during the wheat growth period showed that temperature increased about 1.6% in the last five years compared to the first five years of the baseline 30-years period. Furthermore, the average annual precipitation for the last 5 years was 51 mm less than the first 5 years of the baseline period. The air temperature will increase about 1.1, 1.6, 1.2 and 1.8 °C during the wheat growth period for the near future (30 years) under the RCP2.6, RCP4.5, RCP6, and RCP8.5 scenarios, respectively. The precipitation over the wheat growth period will reduce by 9 and 8% under RCP4.5 and RCP8.5 scenarios, respectively. Furthermore, the precipitation over the growth period would increase by 11 and 17% under RCP2.6 and RCP6 scenarios, respectively. The simulated wheat yield by the CEREC-Wheat model showed that the grain yield increased by 5% in the first 5 years compared to the last 5 years of the baseline period (1998-2017). The biomass production and harvest index (HI) also increased by 2.3 and 1%, respectively. The increased dry matter production and HI can be due to temperature increase during the cold seasons, and more amount of precipitation during the reproductive growth. The simulated wheat growth during the near future period (2018-2047) showed that wheat growth cycle will reduce from 5 to 7 days under different emission scenarios. In the different soil textures, wheat yield under RCP2.6, RCP4.5, RCP6, and RCP8.5 scenarios will increase by 24.4, 19.9, 24.9 and 25.2%, respectively. Furthermore, the highest and the lowest yield were obtained from clay and sandy clay loam soils, respectively. Under the different emission scenarios, the mean incident light and light use efficiency during the growth period would be increased by 20.8-24.6% and 5.5-8.3%, respectively, in projected climate change as compare to baseline period. Reducing irrigation water as amount of 300 m3 ha-1 and simultaneous increase in irrigation water use efficiency are possible incident scenarios for the near future. Based on these scenarios, simulations showed that grain yield increased 26.3, 19.6, 27.2 and 25.6 % under RCP2.6, RCP4.5, RCP6, and RCP8.5 emission scenarios, respectively.
 Conclusions: The increased temperature and atmospheric CO2 concentration during the next 30 years will decrease wheat growth cycle, but increase the potential biomass and grain wheat yield under the different emission scenarios. The results showed that the increased yield production will occur under climate change conditions, even if the available irrigation water would decrease by 300 m3 ha-1.

Keywords

Diffusion scenario; DSSAT; MarkSim; simulation; temperature rise.‎

References

1. Abeysingha, N. S., Singh, M., Islam, A., and Sehgal, V. K. 2016. Climate Change Impacts on Irrigated Rice and Wheat Production in Gomti River Basin of India: a case study. Springer Plus 5 (2): 1250-1270.

2. Ahmadi, F., and Radmanesh, F. 2014. Trend Analysis of Monthly and Annual Mean Temperature of the Northern Half of Iran Over the Last 50 Years. Journal of Water and Soil 28 (4): 855-865. (in Persian).

3. Ashour, E. K., and Al-Najar H. 2012. The Impact of Climate Change and Soil Salinity in Irrigation Water Demand in the Gaza Strip. Journal of Earth Science & Climatic Change 3 (2): 120-127.

4. Babaeyan, E., and Najafi-Nik, Z. 2011. Climate change analysis of Khorasan Razavi province using downscaling of GCM outflow during the period 2089-2020. Journal of Geography and Regional Development 15 (3): 24-32 (in Persian).

5. Brouwer, M., and Heibloem, A. E.1986. Irrigation Water Management: Irrigation Water Needs. FAO Training manual no. 3. Food and Agriculture Organization of the United Nations, Via delle Terme di Caracalla, 00100 Rome, Italy.

6. Cammarano, D., Rötter, R. P., Asseng, Se., Ewert, F., Wallach, D., Martre, P., Hatfield, J. L., Jones, J. W., Rosenzweig, C., and Wolf, J. 2016. Uncertainty of Wheat Water Use: Simulated Patterns and Sensitivity to Temperature and CO2. Field Crops Research 198 (11): 80-92.

7. Castex, V., Beniston, M., Calanca, P., Fleury, D., and Moreau, J. 2018. Pest Management under Climate Change: The Importance of Understanding Tritrophic Relations. Science of the Total Environment 616 (3): 397-407.

8. Dong, Z., Pan, Z., He, Q., Wang, J., Huang, L., Pan, Y., Han, G., Xue, X., and Chen, Y. 2018. Vulnerability assessment of spring wheat production to climate change in the Inner Mongolia region of China. Ecological Indicators 85 (2): 67-78.

9. Easterling, W. E. 2011. Guidelines for adapting agriculture to climate change. PP 282-321 in Hillel, D., Rosenzweig, C. (Eds.), Handbook of Climate Change and Agroecosystems: Impacts, Adaptation and Mitigation. Imperial College Press, London, United Kingdom.

10. Einy-Narghese, H., Deihimfar, R., Sofizade, S., Hagheghat, M., and Noori, O. 2015. Prediction of climate change on yield of wheat in Fars province using APSIM model. Journal of Crop production 8 (4): 203-224. (in Persian with English abstract).

11. Eyshi Rezaie, E., and Bannayan, M. 2012. Rainfed wheat yields under climate change in north eastern Iran. Meteorological Applications 19 (4): 346-354.

12. Fischer, G., Frohberg, K., Parry, M. L., and Rosenzweig, C. 1994. Climate change and world food supply, demand and trade: who benefits, who loses? Global Environmental Change 4 (1): 7-23

13. Frisch, M. 2015. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science 5 (2): 171-190.

14. Ghaemi, M., Raeini Sarjaz, M., and Mosavi, M. 2013. Estimating the crop coefficient and the water requirement of the Gascogne wheat by using energy balance method in Mashhad. Journal of Irrigation and Water Engineering 11 (10): 58-68

15. Intergovernmental Panel on Climate Change (IPCC). 2013. Climate change 2013: the physical science basis. In: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., Midgley, P. M. (Eds.), Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.

16. Jones, P. G., and Thornton, P. K. 2003. The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environment Change 13 (1): 51-59.

17. Kang, Y., Khan Sh., and Ma, X. 2009. Climate change impacts on crop yield, crop water productivity and food security – A review. Progress in Natural Science 19 (12): 1665-1674.

18. Kimball, B. A., Kobayashi, K., and Bindi, M. 2002. Responses of agricultural crops to free-air CO2 enrichment. Advances in Agronomy 77 (1) 293-368.

19. Kirby, E. J. M. 1990. Number of main shoot leaves in wheat as affected by temperature. Journal of Agricultural Science 45 (2): 270-279.

20. Knutti, R. 2016. Climate model confirmation: from philosophy to predicting climate in the real world. In: Lloyd L, Winsberg E., eds. Philosophical and Conceptual Issues in Climate Modelling. Chicago: University of Chicago Press.

21. Koocheki, A., and Kamali, G. A., 2010. Climate change and rainfed wheat production in Iran. Iranian Journal of Field Crops Research 8 (3): 508-520. (in Persian with English abstract).

22. Koocheki, A., and Nassiri, M. 2008. Impacts of climate change and CO2 concentration on wheat yield in Iran and adaptation strategies. Iranian Field Crops Research 6 (2): 139-153 (in Persian with English abstract).

23. Lal, M., Singh, K. K., Rathore, L. S., Srinivasan, G., and Saseendran, S. A. 1998. Vulnerability of rice and wheat yields in NW India to future changes in climate. Agricultural and Forest Meteorology 89 (2): 101-114.

24. Landau, S., Mitchell, R. A. C., Barnett, V., Colls, J. J., Craigon, J., Moore, K. L., and Payne, R. W. 2000. A parsimonious, multiple-regression model of wheat yield response to environment. Agricultural and Forest Meteorology 101 (2): 151-166.

25. Ludwig, F., and Asseng, S. 2006. Impacts and adaptation to climate change in Western Australian wheat cropping systems. Agricultural Systems 90 (1): 159-179.

26. Lv, Z., Liu, X., Cao, W., and Zhu, Y. 2013. Climate Change Impacts on Regional Winter Wheat Production in Main Wheat Production Regions of China. Agricultural and Forest Meteorology 172 (4): 234-248.

27. Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Timothy, R., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. W. 2010. The next generation of scenarios for climate change research and assessment. Nature 463 (7282):747-756.

28. Meinshausen, M., Smith, S. J., Calvin, K., Daniel, J. S., Kainuma, M. L. T., Lamarque, J.-F., Matsumoto, K., Montzka, S. A., and van Vuuren, D. P. P. 2011. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109 (1): 213-241.

29. Mo, X., Mo, Liu, S., and Lin, Z. 2012. Evaluation of an ecosystem model for a wheat-maize double cropping system over the North China Plain. Environmental Modelling & Software 32 (2): 61-73.

30. Mo, X. G., Hu, S. L., Lin, Z. H., Liu, S. X., and Xia, J. 2017. Impacts of Climate Change on Agricultural Water Resources and Adaptation on the North China Plain. Advances in Climate Change Research 8 (2): 93-98.

31. Mosaedi, A., Mohammadi-Moghaddam, S., and Ghabaei-Sough, M. 2015. Modelling Rain-fed Wheat and Barley based on Meteorological Features and Drought Indices. Journal of Water and Soil 29 (3): 730-749. (in Persian with English abstract).

32. Nicholls, N. 1997. Increased Australian wheat yields due to recent climate trends. Nature. 387 (7311): 484-485.

33. Nouri, M., Homaee, M., Bannayan, M., and Hoogenboom, G. 2016.Towards Modelling Soil Texture-Specific Sensitivity of Wheat Yield and Water Balance to Climatic Changes. Agricultural Water Management 177 (2): 248-63.

34. Prasad, P. V. V., Boote, K. J., Allen, Jr., L. H., Sheehy, J. E., and Thomas, J. M. G. 2006. Species, ecotype and cultivar differences in spikelet fertility and harvest index of rice in response to high temperature stress. Field Crops Research 95 (2/3), 398-411.

35. Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., and Winter, J. M. 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): protocols and pilot studies. Agricultural Forest Meteorology 170 (4): 166-182.

36. Sharatt, B. S., Knight, C. W., and Wooding, F. 2003. Climatic impact on small grain production in the Subarctic, in Region of the United States. Arctic 56 (3): 219-226.

37. Sommer, R., Glazirina, M., Yuldashev, T., Otarov, A., Ibraeva, M., Martynova, L., Bekenov, M., Kholov, B., Ibragimov, N., Kobilov, R., Karaev, S., M. Sultonov, F., Khasanova, M., Esanbekov, D., Mavlyanov, S., Isaev, S., Abdurahimov, S., Ikramov, R., Shezdyukova, L., and Pauw E. de. 2013. Impact of Climate Change on Wheat Productivity in Central Asia. Agriculture, Ecosystems & Environment 178 (1): 78-99.

38. Subash, N., and Ram Mohan, H. S. 2012. Evaluation of the Impact of Climatic Trends and Variability in Rice–Wheat System Productivity Using Cropping System Model DSSAT over the Indo-Gangetic Plains of India. Agricultural and Forest Meteorology 164 (1): 71-81.

39. Talliee, A., and Bahramy, N. 2003. The effects of rainfall and temperature on the yield of dryland wheat in Kermanshah province. Iranian Journal of Soil and Waters Sciences 17 (1): 9-18.

40. Tao, F. L., and Zhang, Z. 2013. Climate change, wheat productivity and water use in the North China Plain: a new super-ensemble-based probabilistic projection. Agric. Forest Mete Agricultural and Forest Meteorolog170 (1): 146-165.

41. Tatari, M. 2008. Dryland wheat yield prediction in Khorasan using climate and edaphic data by applying neural networks. PhD Dissertation, Faculty of Agriculture, Ferdowsi University of Mashhad, Iran. (in Persian with English abstract).

42. Thorburn, P. J., Boote, K. J., Hargreaves, J. N. G., Poulton, P. L., and Jones, J. W. 2015. Cropping Systems Modelling in AgMIP: A New Protocol-Driven Approach for Regional Integrated Assessments. Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments. Imperial College Press, London, United Kingdom 80-99 pp.

43. Ventrella, D., Charfeddine, M., Moriondo, M., Rinaldi, M., and Bindi, M. 2012. Agronomic adaptation strategies under climate change for winter durum wheat and tomato in southern Italy: irrigation and nitrogen fertilization. Regional Environmental Change 12 (2): 407-419.

44. Wolf, J., Evans, L. G., Semenov, M. A., Eckersten, H., and Iglesias, A. 1996. Comparison of wheat simulation models under climate change. I. Model calibration and sensitivity analyses. Climate Research 7 (2): 253-270.

45. Zhang, G., Fei, Y., Liu, C., Feng, H., Yan, M., and Wang, J. 2013. Relationship between decline of shallow groundwater levels and irrigated agriculture on Hufu Plain of North China. Advances Water Science 24 (2): 228-234. (in Chinese).