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Future Climate Analogues of Current Wheat Production Zones in India


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1 National Institute of Advanced Studies, Benglauru - 560 012, India
 

The future of agriculture in India will be affected by substantial changes in the environment, although not uniformly across the country. These changes, as projected by the well-known General Circulation Model will grossly impact the food-cropping system. While developing adaptation strategies, it would be useful to understand the current climatic and farming regimes in similar or analogue sites, which have already experienced future conditions. The data used in this article are from a study using the Climate Analogues tool, a web-based tool developed by the Research Programme on Climate Change, Agriculture and Food Security, which uses spatial and temporal variability in climate projections for different climatic scenarios using the General Circulation Model. Sites with statistically similar climates were thus identified and mapped; these include two sites from four different agroecological regions of wheat cropping in India. Comparisons were made specifically for the year 2030, keeping in mind changes in agricultural techniques and mechanisms that could potentially occur over a span of one and a half decades. Temperature was prioritized over other climatic variables in this study, which was conducted using the ECHAM model for the A2 scenario. A comparison of the current yields of the selected sites with those of the future analogue sites revealed the former to be at low, moderate or high risk, in accordance with the projected future climatic conditions for wheat cultivation. Most sites appeared to be at moderate risk due to temperature increase at these sites by the year 2030, and except for two sites, had significantly reduced yields.

Keywords

Climate Analogue, Future Temperature, Similar Site, Wheat Production.
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  • Masutomi, Y., Takahashi, K., Harasawa, H. and Matsuoka, Y., Impact assessment of climate change on rice production in Asia in comprehensive consideration of process/parameter uncertainty in general circulation models. Agric. Ecosyst. Environ., 2009, 131, 281-291.
  • Jayaraman, T. and Murari, K., Climate change and agriculture: current and future trends and implications for India. Rev. Agrar. Stud., 2014, 130, 1-49.
  • Srivastava, P., Singh, R., Tripathi, S. and Raghubanshi, A. S., An urgent need for sustainable thinking in agriculture - an Indian scenario. Ecol. Indic., 2016, 67, 611-622.
  • Brown, M. E. and Funk, C. C., Climate. Food security under climate change. Science, 2008, 319, 580-581.
  • Challinor, A. J. and Wheeler, T. R., Crop yield reduction in the tropics under climate change: Processes and uncertainties. Agric. For. Meteorol., 2008, 148, 343-356.
  • Krishnan, P. et al., Web-based crop model: Web InfoCrop - Wheat to simulate the growth and yield of wheat. Comput. Electron. Agric., 2016, 127, 324-335.
  • Gornall, J. et al., Implications of climate change for agricultural productivity in the early twenty-first century. Philos. Trans. R. Soc., London B, Biol. Sci., 2010, 365, 2973-2989.
  • Biemans, H. et al., Report on Intercomparison of the relative performance of the three modelling approaches (D2.4), High Noon Delivery Report, 2012.
  • Harding, S. A., Guikema, J. A. and Paulsen, G. M., Photosynthetic decline from high temperature stress during maturation of wheat 1. Interaction with senescence processes. Plant Physiol., 1990, 92, 648-653.
  • White, J. W., Modeling temperature response in wheat and maize. Proc. a Work. CIMMYT, El Batán, Mex. 23-25 April 2001, 2003, pp. 1-61.
  • Wang, Y., Handoko, J. and Rimmington, G., Sensitivity of wheat growth to increased air temperature for different scenarios of ambient CO2 concentration and rainfall in Victoria, Australia - a simulation study. Clim. Res., 1992, 2, 131-149.
  • Ortiz, R. et al., Climate change: Can wheat beat the heat? Agric. Ecosyst. Environ., 2008, 126, 46-58.
  • Jones, P. and Thornton, P., A rainfall generator for agricultural applications in the tropics. Agric. Forest Meteorol., 1993, 63, 1-19.
  • Jones, P. and Thornton, P., Spatial and temporal variability of rainfall related to a third-order Markov model. Agric. Forest Meteorol., 1997, 86, 127-138.
  • Jones, P. and Thornton, P., Fitting a third-order Markov rainfall model to interpolated climate surfaces. Agric. Forest Meteorol., 1999, 97, 213-231.
  • Ramírez-Villegas, J. et al., Climate Analogues, 2011.
  • Valizadeh, J., Ziaei, S. M. and Mazloumzadeh, S. M., Assessing climate change impacts on wheat production (a case study). J. Saudi Soc. Agric. Sci., 2014, 13, 107-115.
  • IPCC. IPCC Fourth Assessment Report: Climate Change 2007. Agricultural and Forest Meteorology, 2007, 87.
  • Samadi, S. Z., Sagareswar, G. and Tajiki, M., Comparison of general circulation models: methodology for selecting the best GCM in Kermanshah Synoptic Station, Iran. Int. J. Global Warm, 2010, 2, 347.
  • Jones, P., Thornton, P. and Heinke, J., Generating characteristic daily weather data using downscaled climate model data from the IPCC’s Fourth Assessment. Project Report. International Livestock Research Institute, 2009, 24.
  • Milne, M., Godden, D., Kennedy, J. and Kambuou, R., Evaluation the benefits of conserved crop germplasm in PNG. In Managing Plant Genetic Diversity, Australian Agricultural and Resources Economics Society, 1999, vol. 43, pp. 2-30.
  • Bessadok, A., Roudesli, S., Marais, S., Follain, N. and Lebrun, L., Alfa fibres for unsaturated polyester composites reinforcement: Effects of chemical treatments on mechanical and permeation properties. Compos. Part A: Appl. Sci. Manuf., 2009, 40, 184-195.
  • Adams, R. M., Hurd, B. H., Lenhart, S. and Leary, N., Effects of global climate change on agriculture : an interpretative review. Clim. Res., 1998, 11, 19-30.
  • McMaster, G. S. et al., Simulating the influence of vernalization, photoperiod and optimum temperature on wheat developmental rates. Ann. Bot., 2008, 102, 561-569.
  • He, Z., Joshi, A. K. and Zhang, W., In Climate Vulnerability: Understanding and Addressing Threats to Essential Resources (ed. Roger Pielke), Academic Press, 2013, vol. 2, pp. 57-67.
  • Lobell, D. B., Schlenker, W. and Costa-Roberts, J., Climate trends and global crop production since 1980. Science, 2011, 333, 616- 620.
  • De Souza, K. et al., Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. Reg. Environ. Chang., 2015, 15,
  • -753.

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  • Future Climate Analogues of Current Wheat Production Zones in India

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Authors

Nimisha Agarwal
National Institute of Advanced Studies, Benglauru - 560 012, India
Anindya Sinha
National Institute of Advanced Studies, Benglauru - 560 012, India

Abstract


The future of agriculture in India will be affected by substantial changes in the environment, although not uniformly across the country. These changes, as projected by the well-known General Circulation Model will grossly impact the food-cropping system. While developing adaptation strategies, it would be useful to understand the current climatic and farming regimes in similar or analogue sites, which have already experienced future conditions. The data used in this article are from a study using the Climate Analogues tool, a web-based tool developed by the Research Programme on Climate Change, Agriculture and Food Security, which uses spatial and temporal variability in climate projections for different climatic scenarios using the General Circulation Model. Sites with statistically similar climates were thus identified and mapped; these include two sites from four different agroecological regions of wheat cropping in India. Comparisons were made specifically for the year 2030, keeping in mind changes in agricultural techniques and mechanisms that could potentially occur over a span of one and a half decades. Temperature was prioritized over other climatic variables in this study, which was conducted using the ECHAM model for the A2 scenario. A comparison of the current yields of the selected sites with those of the future analogue sites revealed the former to be at low, moderate or high risk, in accordance with the projected future climatic conditions for wheat cultivation. Most sites appeared to be at moderate risk due to temperature increase at these sites by the year 2030, and except for two sites, had significantly reduced yields.

Keywords


Climate Analogue, Future Temperature, Similar Site, Wheat Production.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi2%2F264-271