Abstract
In Bangladesh, projected climate change is expected to increase food demands by more frequent and intense droughts and increasing temperatures. Few investigations have studied the impact of climate variability on future rice production. Previous investigations mainly checked the sensitivity of higher air temperature and higher atmospheric carbon dioxide on rice yields. Whereas in this study, we checked the combined effects of major climatic parameters on rice. The effects of climate change on yield of a popular winter rice cultivar in Bangladesh were assessed using the biophysical simulation model ORYZA2000. This model was first validated for 2000–2008 using field experimental data from Bangladesh, with a careful test of climate data on daily basis for station-wise and reanalysis datasets. The model performance was satisfactory enough to represent crop productions in nine major rice-growing districts. Then, simulation experiments were carried out for 2046–2065 and 2081–2100. Results show 33 % reduction of average rice yields for 2046–2065 and 2081–2100 for three locations. Projected rainfall pattern and distribution will also have a negative impact on the yields by increasing water demands by 14 % in the future. The model also showed that later transplanting will have less damage under the projected climate.
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References
Agrawala S, Ota T, Ahmed AU, Smith J, Aalst MV (2003) Development and Climate Change in Bangladesh: Focus on Coastal Flooding and the Sunderbans. Organization for Economic Co-operation and Development (OECD), Paris
Basak JK (2010) Effects of increasing temperature and population growth on rice production in Bangladesh: implications for food security. Environment unit, Unnayan Onneshan-The Innovators, pp. 3–9
Basak JK, Ali MA, Islam MN, Rashid MA (2010) Assessment of the effect of climate change on boro rice production in Bangladesh using DSSAT model. J Civil Eng (IEB) 38(2):95–108
BBS (Bangladesh Bureau of Statistics) (2006, 2007, 2009) Statistical year book of Bangladesh. Stat Div, Min of Planning, Govt. People’s Republic of Bangladesh
Boling AA, Bouman BAM, Tuong TP, Murty MVR, Jatmiko SY (2007) Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia. Agr Syst 92:115–139
Bouman BAM, Tuong TP (2001) Field water management to save water and increase its productivity in irrigated lowland rice. Agr Water Manage 49:11–30
Bouman BAM, Van Laar HH (2006) Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions. Agr Syst 87:249–273
Bouman BAM, Feng L, Tuong TP, Lu G, Wang H, Feng Y (2007) Exploring options to grow rice using less water in northern China using a modelling approach II. Quantifying yield, water balance components, and water productivity. Agr Water Manage 88:23–33
Choudhury AM, Haque MA, Quadir DA (1997) Consequences of global warming and sea level rise in Bangladesh. Mar Geod 20:13–31
BARC (Bangladesh Agricultural Research Council) (1990) Drought in Bangladesh agriculture and irrigation schedule in major crops. p. 15
Feng L, Bouman BAM, Tuong TP, Cabangon RJ, Li Y, Lu G, Feng Y (2007) Exploring options to grow rice using less water in northern China using a modelling approach I. Field experiments and model evaluation. Agr Water Manage 88:1–13
van Genuchten MTh (1980) A closed-form equation for predicting the hydraulic properties of unsaturated soils. Soil Sci Soc Am J 44:892–898
Ghan SJ (1992) The GCM credibility gap. Climate Change 21:345–346
Islam AS (2009) Analyzing changes of temperature over Bangladesh due to global warming using historic data. In: Proceedings of the Young Scientists of Asia Conclave: Pressing Problems of Humankind: Energy & Climate, held at Bangalore, India organized by TWAS-ROCASA, January 15–17
Islam MT (2010) Photosynthesis, conductance, transpiration, water use efficiency and grain growth of high yielding rice varieties under water stress. Int J Expt Agric 1(2):10–14
Islam MT (2011) Effect of temperature on photosynthesis, yield attributes and yields of aromatic rice genotypes. Int J Sustain Crop Prod 6(1):16–18
Islam MT, Khan LR, Moniruzzaman M (2002) Relationship of rainfall and drought in rain fed rice cultivation in Barind area. Bangladesh J Agri Engg 13(1–2):43–53
Jing Q, Bouman BAM, Hengsdijk H, Van Keulen H, Cao W (2007) Exploring options to combine high yields with high nitrogen use efficiencies in irrigated rice in China. Eur J Agron 26:166–177
Karim Z, Hussain SG, Ahmed M (1996) Assessing impacts of climate variations on food grain production in Bangladesh. Water Air Soil Poll 92:53–62
Karim Z, Hussain SKG, Ahmed AU (1999) Climate change vulnerability of crop agriculture. In: Vulnerability and adaptation to climate change for Bangladesh. Kluwer, Netherlands, pp. 39–53
Lal M, Singh KK, Rathore LS, Srinivasan G, Saseendran SA (1998) Vulnerability of rice and wheat yields in NW India to future changes in climate. Agr Forest Meteorol 89:101–114
Mahmood R, Legates DR, Meo M (2004) The role of soil water availability in potential rainfed rice productivity in Bangladesh: applications of the CERES-rice model. Appl Geogr 24:139
Mahmood R, Meo M, Legates DR, Morrissey ML (2003) The CERES-Rice Model Based Estimates of Potential Monsoon season Rain fed Rice Productivity in Bangladesh. The Professional Geographer 55(2):268
Mathauda SS, Mavi HS, Bhangoo BS, Dhaliwal BK (2000) Impact of projected climate change on rice production in Punjab (India). Trop Ecol 41(1):95–98
Mitchell JFB, Manabe S, Tokioka T, Meleshko V (1990) Equilibrium climate change. In: Houghton JT, Jenkins GJ, Ephraums JJ (eds) Climate change: the IPCC scientific assessment. Cambridge University Press, New York, pp 131–172
National Encyclopedia of Bangladesh. http://www.banglapedia.org/httpdocs/HT/D_0284.HTM. Accessed 18 Apr 2012
Quadir DA, Hussain A, Hossain MA, Ahasan MN (2003) Deficit and excess rainfall conditions over Bangladesh. In: Proceedings of SAARC Seminar on Agricultural Applications of Meteorology, Dhaka, Bangladesh, 23–24 December, pp. 25–32
Ramasamy S, Baas S (2007) Climate variability and change: adaptation to drought in Bangladesh. A resource book and training guide. Asian Disaster Preparedness Center. Food and Agriculture Organization of the United Nations, Rome, p15
BRRI (Bangladesh Rice Research Institute) (2000-2008) Annual Reports, Gazipur, Bangladesh
BRRI (Bangladesh Rice Research Institute) (2007) Adhunik Dhaner Chash (Modern rice cultivation), 13th edition, Gazipur, Bangladesh, pp. 8–30
Wo¨sten JHM,Veerman GJ,Groot WJM de, Stolte J (2001) Waterretentie-enoorlatendheidskarakteristiekenvan boven-en ondergronden in Nederland: de Staringreeks. (Water retention and conductivity characteristics of top and subsoils in The Netherlands: the Staring series). Wageningen University and Research Centre, Alterra rapport, p 153
Wopereis MCS (1993) Quantifying the impact of soil and climate variability on rain fed rice production. CIP-DATA Konink lijke, Den Haag, Netherlands
Wopereis MCS, Kropff MJ, Maligaya AR, Tuong TP (1996) Drought-stress responses of two lowland rice cultivars to soil water status. Field Crop Res 46:21–39
Yoshida S (1981) Fundamentals of rice crop science. Intl. Rice. Res. Inst. Philippines, P 82
Acknowledgments
Bangladesh Meteorological Department, Geophysical Fluid Dynamics Laboratory, Meteorological Research Institute is acknowledged for providing the climate data and Bangladesh Rice Research Institute for the data on rice production. Also, we acknowledge the contribution of National Center for Environmental Prediction, Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of the Water Resources for providing the reanalyzed data. The authors are highly grateful to Dr. J. Timsina for providing suggestions that resulted in substantial improvement of the manuscript. Scholarship and other financial support were provided for the first author from MEXT-Japan.
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Karim, M.R., Ishikawa, M., Ikeda, M. et al. Climate change model predicts 33 % rice yield decrease in 2100 in Bangladesh. Agron. Sustain. Dev. 32, 821–830 (2012). https://doi.org/10.1007/s13593-012-0096-7
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DOI: https://doi.org/10.1007/s13593-012-0096-7