Abstract
The negative impact of climate change on crop production is alarming as the demand for food is expected to increase in coming years, at a rate of about 2 percent a year. Wet season rice (Oryza sativa) followed by mustard (Brassica juncea) is one of the prominent cropping sequences in Eastern India. Descreases in their productivity due to climate change will not only hamper the regional food security but also affect the global economy. Considering the fact, the present study aims to assess the impact of climate change on productivity of wet-season rice and mustard and to evaluate the effectiveness of agronomic adjustment as adaptation options. Crop growth simulation model (CGSM) is a very effective tool to predict the growth and yield of a crop. One CGSM, namely InfoCrop (Generic Crop Model), was calibrated and validated for the said crops for West Bengal State, Eastern India. After validation, the model was used to predict the yield under elevated thermal condition (1 and 3 °C rise over normal temperature). Moreover, the future weather situation as predicted by PRECIS (Providing Regional Climates for Impacts Studies) model was used as weather input of the CGSM and the yield was predicted for ten selected locations of West Bengal for the year 2025 and 2050. It was observed that the average yield reduction of the wet-season rice would be in the tune of about 20.0 % for 2025 and 27.8 % for 2050. The mustard yield of West Bengal may be reduced by 20.0 to 33.9 % for the year 2025 and up to 40 % for 2050. It was concluded that the negative impact of climate change on mustard grown in winter season will be more pronounced compared to wet-season rice. Adjustment of sowing time will be the simplest and effective adaptation option for both rice and mustard. Increased rate of nutrient application can sustain the rice yield under future climate. The older seedling at the time of transplanting of wet-season rice and increased seed rate of mustard were proved less effective.
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References
Aggarwal PK, Kalra N (1994) Simulating the effect of climatic factors, genotype and management on productivity of wheat in India. Indian Agricultural Research Institute Publication, New Delhi, p 156
Aggarwal PK, Banerjee B, Daryaei MG, Bhatia A, Bala A, Rani S, Chander S, Pathak H, Kalra N (2006) InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description. Agric Syst 89:1–25
Balling RC Jr, Cerveny RS (2003) Compilation and discussion of trends in severe storms in the United States: popular perception v. climate reality. Nat Hazards 29:103–112
Banerjee S, Khan SA (2008) Impact of climate change on agriculture over West Bengal. In: Rao GSLHV, Rao GGSN, Rao VUM, Ramakrishna YS (eds) Climate change and agriculture over India. PHI Publishers, 203–215
Banerjee S (2008) Possible impact of climate change on rice production in the Gangetic West Bengal, India. In: Unkovich MJ (ed) Global Issues Paddock Action. Proceedings of the 14th Australian Agronomy Conference, 21–25 September 2008, Adelaide, South Australia
Boomiraj K, Chakrabarti B, Aggarwal PK, Choudhary R, Chander S (2010) Assessing the vulnerability of Indian mustard to climate change. Agric Ecosys and Environ 138:265–273
Chattopadhyay C, Agrawal R, Amrender K, Singha YP, Roy SK, Khan SA, Bhar LM, Chakravarthy NVK, Srivastava A, Patel BS, Srivastava B, Singh CP, Mehta SC (2005) Forecasting of Lipaphis erysimi on oilseed Brassicas in India — a case study. Crop Prot 24:1042–1053
Clough Y, Barkmann J, Juhrbandt J, Kessler M, Wanger TC, Anshary A, Buchori D, Cicuzza D, Darras K, Putra DD, Erasmi S, Pitopang R, Schmidt C, Schulze CH, Seidel D, Steffan-Dewenter I, Stenchly K, Vidal S, Weist M, Wielgoss AC, Tscharntke T (2011) Combining high biodiversity with high yields in tropical agroforests. Proc Natl Acad Sci U S A 108(20):8311–8316
CRRI (2011) Vision 2030: Central Rice Research Institute. ICAR, India
Cumhur A, Malcolm SC (2008) The effects of global climate change on agriculture. Am-Eurasian J Agric and Environ Sci 3(5):672–676
FAOSTAT (2012) FAOSTAT Agricultural Production (available at: www.faostat.fao.org/)
FASAL (2013) Annual progress report of FASAL project of Kalyani centre, Directorate of Research, BCKV. pp 4
Fauchereau N, Trzaska M, Rouault M, Richard Y (2003) Rainfall variability and changes in Southern Africa during the 20th century in the global warming context. Nat Hazards 29:139–154
Fox DG (1981) Judging air quality model performance: a summary of the AMS workshop on dispersion model performance. Bull Am Meteorol Soc 62:599–609
Game ET, Lipsett-Moore G, Saxon E, Peterson N, Sheppard S (2011) Incorporating climate change adaptation into national conservation assessments. Glob Chang Biol 17(10):3150–3160
Gordon N, Shykewich J (2000) Guidelines on performance assessment of public weather service. WMO / TDNO. 1023 pp 9–10
Guoju X, Fengju Z, Zhengji Q, Yubi Y, Runyuan W, Juying H (2013) Response to climate change for potato water use efficiency in semi-arid areas of China. Agric Water Manag 127:119–123
Hoogenboom G (2000) Contribution of agrometeorology to the simulation of crop production and its applications. Agric Forest Meteorol 103:137–157
IPCC (2007a) In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
IPCC (2007b) In: Parry ML, Canziani OF, Paultikof JP, van der Linden PJ, Hanon CE (eds) Climate change — impacts, adaptation and vulnerability technical summery of working group ii to fourth assessment report of intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 23–78
IPCC (2014) In: Barros VR, Field CB, Dokken DJ, Mastrandrea MD, Mach KJ, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part b: regional aspects. Contribution of working group ii to the fifth assessment report of the intergovernmental panel on climate. Cambridge University Press, Cambridge, XXX pp
IRRI (2006) Bringing hope, improving lives: Strategic Plan 2007–2015. Manila 61 p
Jones JW, Keating BA, Porter CH (2001) Approaches to modular model development. Agric Syst 70:421–443
Jones RG, Noguer M, Hassell DC, Hudson D, Wilson SS, Jenkins GJ, Mitchell JFB (2004) Generating high resolution climate change scenarios using PRECIS, Met Office Hadley Centre, Exeter, UK, 40 pp April 2004
Jung HS, Choi Y, Joi-ho O, Gyu-ho L (2002) Recent trends in temperature and precipitation over South Korea. Int J Climatol 22:1327–1337
Krishnan P, Swain DK, Bhaskar BC, Nayak SK, Dash RN (2007) Impact of elevated CO2 and temperature on rice yield and methods of adaptation as evaluated by crop simulation studies. Agric Ecosyst Environ 122:233–242
Lobell DB, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333 (6042): 616–620, http://dx.doi.org/ 10.1126/science.1204531 DOI:%2010.1126/science.1204531
Luck J, Asaduzzaman M, Banerjee S, Bhattacharya I, Coughlan K, Chakraborty A, Debnath GC, De Boer RF, Dutta S, Griffiths W, Hossain D, Huda S, Jagannathan R, Khan S, O’Leary G, Miah G, Saha A, Spooner-Hart R (2012) The effects of climate change on potato production and potato late blight in the Asia-Pacific Region. APN Sci Bull 2:28–33
Mall RK, Lal M, Bhatia VS, Rathore LS, Singh R (2004) Mitigating climate change impact on Soybean productivity in India: a simulation study. Agric Forest Meteorol 121(1–2):113–125
Mishra A, Singh R, Raghuwanshi NS, Chatterjee C, Froebrich J (2013) Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin. Sci Total Environ, http://dx.doi.org/10.1016/j.scitotenv.2013.05.080
Sarmah K, Banerjee S, Huda AKS (2009) Simulating the impact of climate change on performance of rapeseed and mustard through crop simulation model. Int J Agric Environ Biotech 2(4):318–322
Shrestha S, Deb P, Trang Bui TT (2014) Adaptation strategies for rice cultivation under climate change in Central Vietnam. Mitig Adapt Strateg Glob Chang. doi:10.1007/s 11027-014-9567-2
Szwed M, Karg G, Pinskwar I, Radziejewski M, Graczyk D, Kedziora A, Kundzewicz ZW (2010) Climate change and its effect on agriculture, water resources and human health sectors in Poland. Nat Hazards Earth Syst Sci 10:1725–1737
Verchot LV, Noordwijk M, Kandji S, Tomich T, Ong C, Albrecht A, Mackensen J, Bantilan C, Anupama KV, Palm C (2007) Climate change: linking adaptation and mitigation through agroforestry. Mitig Adapt Strateg Glob Chang 12(5):901–918
Zhang Q, Li Y, Chen LH (2011) Major characteristics, key issues and coping strategies of climate change. J Desert Res 31:492–499
Acknowledgments
The financial help from Indian Council of Agricultural Research (ICAR) for sponsoring the Network Project on Climate Change is duly acknowledged. We are thankful to Prof. Biswapati Mandal, Pro-Vice Chancellor, BCKV for his help and guidance. The authors are also thankful to Ms. Renaissance for manuscript editing.
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Banerjee, S., Das, S., Mukherjee, A. et al. Adaptation strategies to combat climate change effect on rice and mustard in Eastern India. Mitig Adapt Strateg Glob Change 21, 249–261 (2016). https://doi.org/10.1007/s11027-014-9595-y
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DOI: https://doi.org/10.1007/s11027-014-9595-y