Abstract
The impact of climate change on agricultural yield is one amongst the major concerns the world is witnessing. Our study focusses on rice yield prediction for an agricultural research station in Kerala with the help of climate change scenario input from the Meteorological Research Institute (MRI) Global Climate Model (GCM) projection under Representative Concentration Pathway 8.5 (RCP8.5). We have used Cropping System Model (CSM) Crop Estimation through Resource and Environment Synthesis (CERES) Rice within Decision Support System for Agrotechnology Transfer (DSSAT) package for predicting the yield. Our study has the novelty of using very high-resolution climate data from a model which is highly skilful in capturing the present-day climate features and climatic trends over India (in particular, over the Western Ghats), as input for simulating the future crop yield. From this study, we find that the rice yield decreases due to rise in temperature and reduction in rainfall, thereby reducing the crops maturity time in the future. Based on our results, the adaptation measures suggested to achieve better yield under future warming conditions are: (i) to opt for alternative rice varieties which have tolerance to high temperatures and consume less water, and (ii) shifting of planting date to the most appropriate window.
Highlights
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1.
Impact study of future climate change on rice yield is carried out using CERES Rice Cropping System Model after systematic validation.
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2.
Highly reliable climate change information from the projection by a 20-km resolution global climate model of MRI which is remarkably skilful in simulating the present-day Indian climate, is used as input for the crop model.
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3.
Rice yield is found to decrease in future due to rise in temperature and reduction in rainfall, thereby reducing the crops maturity time.
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Adaptive measures of opting for temperature tolerant, high yielding rice varieties which consume less water and shifting of planting date to an appropriate window, are suggested to achieve better yield.
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References
Aggarwal P K, Hebbar K B, Venugopalan M V, Rani S, Bala A, Biswal A and Wani S P 2008 Quantification of yield gaps in rain-fed rice, wheat, cotton and mustard in India; ICRISAT, Global Theme on Agroecosystems Report no. 43 1–30.
Aggarwal P K and Mall R K 2002 Climate change and rice yields in diverse agro-environments of India. II: Effect of uncertainties in scenarios and crop models on impact assessment; Climatic Change 52(3) 331–343.
Allen M R and Ingram W J 2002 Constraints on future changes in climate and the hydrologic cycle; Nature 419(6903) 224.
Auffhammer M, Ramanathan V and Vincent J R 2012 Climate change, the monsoon, and rice yield in India; Climatic Change 111(2) 411–424.
Battisti D S and Naylor R L 2009 Historical warnings of future food insecurity with unprecedented seasonal heat; Science 323(5911) 240–244.
Bhattacharya T and Panda R K 2013 Effect of climate change on rice yield at Kharagpur, West Bengal; Int. J. Food Agric. Vet. Sci. 4(2) 6–12.
Challinor A, Wheeler T, Garforth C, Craufurd P and Kassam A 2007 Assessing the vulnerability of food crop systems in Africa to climate change; Climatic Change 83(3) 381–399.
Chou C and Neelin J D 2004 Mechanisms of global warming impacts on regional tropical precipitation; J. Climate 17(13) 2688–2701.
Easterling D R, Horton B, Jones P D, Peterson T C, Karl T R, Parker D E, Salinger M J, Razuvayev V, Plummer N, Jamason P and Folland C K 1997 Maximum and minimum temperature trends for the globe; Science 277(5324) 364–367.
Fageria N K 2007 Yield physiology of rice; J. Plant Nutr. 30(6) 843–879.
FAO (Food and Agriculture Organization of the United Nations) 2009 Electronic on-line database; http://www.fao.org/faostat.
Fitzgerald M A and Resurreccion A P 2009 Maintaining the yield of edible rice in a warming world; Funct. Plant Biol. 36 1037–1045.
Fu G F, Tao L X, Song J, Wang X, Cao L Y and Cheng S H 2008 Responses of yield characteristics to high temperature during flowering stage in hybrid rice Guodao 6; Rice Science 15 215–222.
Gadgil S and Gadgil S 2006 The Indian monsoon, GDP and agriculture; Economic and Political Weekly 25 4887–4895.
Ghildyal B P and Jana R K 1967 Agrometeorological environment affecting rice yield; Agron. J. 59 286–287.
Godwin D C, Singh U, Buresh R J and De Datta S K 1990 Modeling of nitrogen dynamics in relation to rice growth and yield; In: Transactions 14th International Congress of Soil Science, Kyoto, Japan IV 320–325.
Guhathakurta P and Rajeevan M 2008 Trends in the rainfall pattern over India; Int. J. Climatol. 28(11) 1453–1469.
Gupta V K, Agrawal K K, Upadhyay A P and Shanker U 2000 Effect of rainfall, number of rainy days and length of rainy season on productivity of rice (Oryza sativa L.) crop at Jabalpur; J. Agrometeorol. 2(1) 61–64.
Intergovernmental Panel on Climate Change (IPCC) 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ. Press, Cambridge, UK and New York, 1535p.
Islam M R and Sikder S 2011 Phenology and degree days of rice cultivars under organic culture; Bangladesh J. Botany 40(2) 149–153.
Jagadish S V K, Craufurd P Q and Wheeler T R 2008 Phenotyping parents of mapping populations of rice (Oryza sativa L.) for heat tolerance during anthesis; Crop Sci. 48 1140–1146.
Jalota S K, Kaur H, Ray S S, Tripathi R, Vashisht B B and Bal S K 2012 Mitigating future climate change effects by shifting planting dates of crops in rice–wheat cropping system; Reg. Environ. Change 12(4) 913–922.
Jones J W, Hoogenboom G, Porter C H, Boote K J, Batchelor W D, Hunt L A, Wilkens P W, Singh U, Gijsman A J and Ritchie J T 2003 The DSSAT cropping system model; European J. Agronomy 18(3–4) 235–265.
Kaladevi R, Geethalaxshmi V, Selvaraju R and Balasubramanian T N 2000 Agrometeorological aspects of rabi season rice; Madras Agric. J. 86(7) 473–477.
Kim H Y, Lieffering M, Kobayashi K, Okada M and Miura S H 2003 Seasonal changes in the effects of elevated CO2 on rice at three levels of nitrogen supply: A free air CO2 enrichment (FACE) experiment; Global Change Biol. 9(6) 826–837.
Krishnan P, Swain D K, Bhaskar B C, Nayak S K and Dash R N 2007 Impact of elevated CO2 and temperature on rice yield and methods of adaptation as evaluated by crop simulation studies; Agric. Ecosyst. Environ. 122(2) 233–242.
Lalitha K, Reddy D R and Rao S N 2000 Influence of temperature on duration of tillering in lowland rice varieties; J. Agrometeorol. 2(1) 65–67.
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; Agric. Forest Meteorol. 89(2) 101–114.
Mall R K, Singh R, Gupta A, Srinivasan G and Rathore L S 2006 Impact of climate change on Indian agriculture: A review; Clim. Change 78(2–4) 445–478.
Mishra A, Singh R, Raghuwanshi N S, Chatterjee C and Froebrich J 2013 Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin; Sci. Total Environ. 468 S132–S138.
Mizuta R, Arakawa O, Ose T, Kusunoki S, Endo H and Kitoh A 2014 Classification of CMIP5 future climate responses by the tropical sea surface temperature changes; Sola 10 167–171.
Mizuta R, Yoshimura H, Murakami H, Matsueda M, Endo H, Ose T, Kamiguchi K, Hosaka M, Sugi M, Yukimoto S and Kusunoki S 2012 Climate simulations using MRI-AGCM3. 2 with 20-km grid; J. Meteorol. Soc. Japan Ser.II.90 233–258.
Nigam R and Mishra H S 2003 Effect of weather variables on rice in the Tarai Region; Environ. Ecol. 21(3) 645–648.
Ogden E and Innes J L 2008 Climate change adaptation and regional forest planning in southern Yukon, Canada; Mitigation and Adaptation Strategies for Global Change 13 833–861.
Parry M, Parry M L, Canziani O, Palutikof J, Van der Linden P and Hanson C (eds) 2007 Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC Vol. 4, Cambridge University Press.
Parry M L, Rosenzweig C, Iglesias A, Livermore M and Fischer G 2004 Effects of climate change on global food production under SRES emissions and socio-economic scenarios; Global Environ. Change 14(1) 53–67.
Peng S, Huang J, Sheehy J E, Laza R C, Visperas R M, Zhong X, Centeno G S, Khush G S and Cassman K G 2004 Rice yields decline with higher night temperature from global warming; Proc. National Acad. Sci. 101(27) 9971–9975.
Porter J R and Semenov M A 2005 Crop responses to climatic variation; Phil. Trans. Roy. Soc. B: Biol. Sci. 360(1463) 2021–2035.
Praba M L, Vanangamudi M and Thandapani V 2004 Effect of low light on yield and physiological attributes of rice; International Rice Research Notes.
Rajendran K and Kitoh A 2008 Indian summer monsoon in future climate projection by a super high resolution global model; Curr. Sci. 95(11) 1560–1569.
Rajendran K, Kitoh A, Srinivasan J, Mizuta R and Krishnan R 2012 Monsoon circulation interaction with Western Ghats orography under changing climate – Projection by a 20-km mesh AGCM; Theor. Appl. Climatol. 110(4) 555–571.
Rajendran K, Sajani Surendran, Jayasankar C B and Kitoh A 2013 How dependent is climate change projection of Indian summer monsoon rainfall and extreme events on model resolution?; Curr. Sci. 104(10) 1409–1418.
Rajendran K, Sajani Surendran, Kitoh A and Varghese S J 2016 Reduction of uncertainty associated with future changes in Indian summer monsoon projected by climate models and assessment of monsoon teleconnections; Proc. SPIE 9882 98820D.
Rajwade Y A, Swain D K, Tiwari K N, Mohanty U C and Goswami P 2015 Evaluation of field level adaptation measures under the climate change scenarios in rice based cropping system in India; Environ. Process. 2(4) 669–687.
Ramdoss G and Subramaniam S 1980 Influence of weather parameters on rice yield; Madras Agric. J. 67(9) 608–609.
Rani B A and Maragatham N 2013 Effect of elevated temperature on rice phenology and yield; Indian J. Sci. Technol. 6(8) 5095–5097.
Rayner N A, Parker D E, Horton E B, Folland C K, Alexander L V, Rowell D P, Kent E C and Kaplan A 2003 Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century; J. Geophys. Res.: Atmos. 108(D14) 4407.
Razzaque M A, Haque M M, Khaliq Q A, Soliman A R and Hamid A 2011 Effects of CO2 and nitrogen levels on yield and yield attributes of rice cultivars; Bangladesh J. Agric. Res. 36(2) 213–221.
Ritchie J T 1986 CERES-Wheat: A general documentation. USDA-ARS. Grassland; Soil and Water Resource Laboratory, Temple, Texas.
Rosenzweig C and Parry M L 1994 Potential impact of climate change on world food supply; Nature 367(6459) 133.
Satapathy S S, Swain D K and Herath S 2014 Field experiments and simulation to evaluate rice cultivar adaptation to elevated carbon dioxide and temperature in sub-tropical India; European J. Agronomy 54 21–33.
Schiller J M, Hatsadong and Doungsila K 2006 A history of rice in Laos; In: Rice in Laos (eds) Schiller J M, Chanphengxay M B, Linquis B A and Appa Rao S, pp. 9–28.
Semenov M A and Barrow E M 1997 Use of a stochastic weather generator in the development of climate change scenarios; Clim. Change 35(4) 397–414.
Semenov M A and Porter J R 1995 Climatic variability and the modelling of crop yields; Agric. For. Meteorol. 73(3–4) 265–283.
Singh S, Ghosh S, Sahana A S, Vittal H and Karmakar S 2017 Do dynamic regional models add value to the global model projections of Indian monsoon?; Clim. Dyn. 48(3–4) 1375–1397.
Squire G R 1990 The Physiology of Tropical Crop Production. C.A.B. International, Wallingford, Berks.
Subash N and Mohan H R 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; Agric. For. Meteorol. 164 71–81.
Sultan B, Baron C, Dingkuhn M, Sarr B and Janicot S 2005 Agricultural impacts of large-scale variability of the West African monsoon; Agric. Forest Meteorol. 128(1–2) 93–110.
Swain D K and Thomas D 2015 Climate change impact assessment and evaluation of agro-adaptation measures for rice production in eastern India; J. Environ. Inform. 16(2) 94–101.
Taylor K E 2001 Summarizing multiple aspects of model performance in a single diagram; J. Geophys. Res. Atmos. 106(D7) 7183–7192.
Taylor K E, Stouffer R J and Meehl G A 2012 An overview of CMIP5 and the experiment design; Bull. Am. Meteorol. Soc. 93(4) 485–498.
Van Vuuren D P, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt G C, Kram T, Krey V, Lamarque J F and Masui T 2011 The representative concentration pathways: An overview; Clim. Change 109(1–2) 5.
Varghese S J, Sajani Surendran, Rajendran K and Kitoh A 2020 Future projection of Indian Summer Monsoon under multiple RCPs using a high resolution global climate model multiforcing ensemble simulations; Clim. Dyn. 54(3) 1315–1328.
Vysakh A, Ajithkumar B and Rao A S 2016 Evaluation of CERES-Rice model for the selected rice varieties of Kerala; J. Agrometeorol. 18(1) 120.
Wahid A, Gelani S, Ashraf M and Foolad M R 2007 Heat tolerance in plants: An overview; Environ. Exper. Botany 61(3) 199–223.
Wassmann R, Jagadish S V, Sumfleth K, Pathak H, Howell G, Ismail A, Serraj R, Redona E, Singh R K and Heuer S 2009 Regional vulnerability of climate change impacts on Asian rice production and scope for adaptation; Adv. Agronomy 102 91–133.
Williams R F 1946 The physiology of plant growth with special reference to the concept of net assimilation rate; Ann. Botany 10(37) 41–72.
Yoshimura H, Mizuta R and Murakami H 2015 A spectral cumulus parameterization scheme interpolating between two convective updrafts with semi-Lagrangian calculation of transport by compensatory subsidence; Mon. Weather Rev. 143(2) 597–621.
Acknowledgements
The climate model simulations were done by the Earth Simulator of JAMSTEC, under the SOUSEI and TOUGOU Programs funded by MEXT, Japan. Crop model was taken from DSSAT software. The first author acknowledges the financial support of Council of Scientific and Industrial Research (CSIR) for the Senior Research Fellowship (SRF) and AcSIR. The authors acknowledge Agricultural Research Station, Mannuthy, Kerala, and Principal Agro Meteorological Observatory, Vellanikkara, Kerala, for providing the station soil and weather data, respectively. Part of this work was also supported by MoES National Monsoon Mission Phase II Project (GAP-1013).
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1. Conception and design: Stella Jes Varghese and Sajani Surendran. 2. Acquisition of data: Stella Jes Varghese, Sajani Surendran, B Ajithkumar, Kavirajan Rajendran and Akio Kitoh. 3. Methodology, computations and visualization: Stella Jes Varghese. 4. Verification: Stella Jes Varghese, Sajani Surendran, and B Ajithkumar. 5. Discussion and interpretation of results: Stella Jes Varghese, Sajani Surendran, B Ajithkumar and Kavirajan Rajendran. 6. Drafting the manuscript: Stella Jes Varghese and Sajani Surendran. 7. Revision of manuscript: B Ajithkumar, Kavirajan Rajendran and Akio Kitoh.
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Varghese, S.J., Surendran, S., Ajithkumar, B. et al. Future changes in rice yield over Kerala using climate change scenario from high resolution global climate model projection. J Earth Syst Sci 129, 192 (2020). https://doi.org/10.1007/s12040-020-01459-0
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DOI: https://doi.org/10.1007/s12040-020-01459-0