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Assessing the impacts of climate change on rice yields in the main rice areas of China

Abstract

This paper assesses the impact of climate change on irrigated rice yield using B2 climate change scenario from the Regional Climate Model (RCM) and CERES-rice model during 2071--2090. Eight typical rice stations ranging in latitude, longitude, and elevation that are located in the main rice ecological zones of China are selected for impact assessment. First, Crop Estimation through Resource and Environment Synthesis (CERES)-rice model is validated using farm experiment data in selected stations. The simulated results represent satisfactorily the trend of flowering duration and yields. The deviation of simulation within ± 10% of observed flowering duration and ± 15% of observed yield. Second, the errors of the outputs of RCM due to the difference of topography between station point and grid point is corrected. The corrected output of the RCM used for simulating rice flowering duration and yield is more reliable than the not corrected. Without CO2 direct effect on crop, the results from the assessment explore that B2 climate change scenario would have a negative impact on rice yield at most rice stations and have little impacts at Fuzhou and Kunming. To find the change of inter-annual rice yield, a preliminary assessment is made based on comparative cumulative probability at low and high yield and the coefficient variable of yield between the B2 scenario and baseline. Without the CO2 direct effect on rice yield, the result indicates that frequency for low yield would increase and it reverses for high yield, and the variance for rice yield would increase. It is concluded that high frequency at low yield and high variances of rice yield could pose a threat to rice yield at most selected stations in the main rice areas of China. With the CO2 direct effect on rice yield, rice yield increase in all selected stations.

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References

  • Arnell NW, Hudson DA, John RG (2003) Climate change scenarios from a regional climate model: estimating change in runoff in Southern Africa. J Geophys Res 108(D16):4519–4536

    Article  Google Scholar 

  • Bonekamp H, Sterl A, Gerbrand J, Komen G (1999) Inter-annual variability in the southern ocean from an Ocean Model Forced by European Center for medium-range weather forecasts reanalysis fluxes. J Geophys Res 104(13):317–331

    Google Scholar 

  • Brown RA, Rosenberg NJ (1999) Climate change impacts on the potential productivity of corn and winter wheat in their primary United States growing regions. Clim Change 41:73–107

    Article  Google Scholar 

  • Cesar R, Rosenberg J, Brown A, Thomson M (2003) Integrated assessment of Hadley Center (HadCM2) climate change impacts on agriculture productivity and irrigation water supply in the conterminous United States: part II. Regional agricultural production in 2030 and 2095. Agric For Meteorol 117:97–122

    Article  Google Scholar 

  • China National Rice Research Institute (eds) (1988) Rice regional planning in China. Zhejiang Press, Zhejiang (in Chinese)

    Google Scholar 

  • Curry RB, Peart RM, Jones JW, Boote KJ, Allen LH (1990) Response of crop yield to predicted change in climate and atmospheric CO2 using simulation. Trans ASAE 33:1383–1390

    Google Scholar 

  • Decker WL (1994) Developments in agricultural meteorology as a guide to its potential for the 21st century. Agric and Forest Meterol 69:9–25

    Article  Google Scholar 

  • Ghaffari A, Cook HF, Lee HC (2002) Climate change and winter wheat management: a modeling scenario for South-Eastern England. Clim Chang 55:509–533

    Article  Google Scholar 

  • Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns, TC, Mitchell JFB, Wood RA (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Center Coupled Model without flux adjustments. Clim Dyn 16:147–168

    Article  Google Scholar 

  • Han XL (ed) (1998) Chinese agricultural climate. Shanxi Science and Technology Press, Shanxi (in Chinese)

    Google Scholar 

  • IPCC (2000) Emissions scenarios, special report on emissions scenarios. In: Joseph A, Gerald D et al. (eds) A special report of working group III of the intergovernmental panel on climate change. Cambridge University Press, New York, NY 10011-4211, USA, pp 24–29

    Google Scholar 

  • IPCC (2001) Climate change 2001 the scientific basis. In: Houghton JT, Ding Y, Griggs PJ, Noguer M, van de Linden PJ, Dai X, Maskell K, Johnson CA (eds) Contribution of working group I to the third assessment report of the intergovermental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, U.S.A., p 450

    Google Scholar 

  • Jin Z, Geng D, Chen H, Feng J (1994) Effects of climate change on rice production and strategies for adaptation in Southern China. Implications of climate change for international agriculture: crop modelling study. US Climate Change Division Report, EPA, 230-B-94-003, 1–24

  • Jones PD, Lister DH, Jaggard KW, Pidgeon JD (2003) Future climate impact on the productivity of sugar beet in Europe. Clim Change 58:93–108

    Article  Google Scholar 

  • Jones RG, Hassell D, Hudson D, Wilson S, Jenkins G, Mitchell J (eds) (2004) Workbook on generating high resolution climate change scenarios using PRECIS. Hadley Centre for Climate Prediction and Research, Met Office, UK

    Google Scholar 

  • Lin ED, Zhang HX, Wang JH (eds) (1997) Simulation of impacts of global change on agriculture in China. Chinese Agricultural Press, Beijing (in Chinese)

    Google Scholar 

  • Mall RK, Aggarwal PK (2002) Climate change and rice yield in diverse agro-environments of India: I. Evaluation of impact assessment models. Clim Change 52:315–330

    Article  Google Scholar 

  • Mall RK, Lal M, Bhatia VS, Rathore LS, Singh R (2004) Mitigating climate change impact on soybean productiveity in India: a simulation study. Agric For Meteorol 121:113–125

    Article  Google Scholar 

  • Matsushima S, Ikewada H, Maeda A, Honda S, Niki H (1982) Studies on rice cultivation in the tropics. 1. Yielding and ripening responses of the rice plant to the extremely hot and dry climate in Sudan. Jpn J of Tropical Agric 26:19–25

    Google Scholar 

  • Mearns LO, Mavromatis T, Tsvetsinskaya E, Hays C, Easterling W (1999) Comparative Responses of EPIC and CERES Crop Model to High and Low Spatial Resolution Climate Change Scenarios. J Geophys Res 104:6623–6646

    Article  Google Scholar 

  • Mearns LO, Easterling W, Hays C, Max D (2001) Comparison of agricultural impacts if climate change calculated from high and low resolution climate change scenarios part I, The pncertainty due to spatial scale. Clim Change 51:131–172

    Article  Google Scholar 

  • National Soil Survey Office (1995) Chinese soil genus records. China Agriculture Press, Beijing (in Chinese)

    Google Scholar 

  • Ritchie JT, Singh U, Godwin DC, Bowen WT (1998) Cereal growth, development and yield. In: Tsuji GY, Hoogenboom G, Thornton PK (eds) Understanding options for agricultural production. Kluwer Academic Publishers, The Netherlands, pp 79–98

    Google Scholar 

  • Rosenzweig C, Curry B, Ritchie JT, Jones JW, Chou TY, Goldberg R, Iglesias A (1994) The effects of potential climate change on simulated grain crop in the United States. In: Rosenzweig C, Iglesias A (eds) Implications of climate change for international agriculture: crop modeling study. USEPA Policy, Planning and Evaluation Office, Washington, DC, pp 1–24

    Google Scholar 

  • Rosenzweig C, Iglesias A (1998) The use of crop models for international climate change impact assessment. In: Tsuji GY, Hoogenboom G, Thornton PK(eds) Understanding options for agricultural production. Kluwer Academic Publishers, London, pp 267–292

    Google Scholar 

  • Shen DJ, Varis O (2001) Climate change in China. AMBIO 30:381–383

    Article  Google Scholar 

  • Singh U, Godwin DC, Ritchie JT (1994) CERES-rice in DSSAT v3. In: Tsuji GY, Uehara G, Balas S (eds) DSSAT v3. University of Hawaii, Honolulu, HI, pp 97

    Google Scholar 

  • Squire GR, Obaga SMO, Othieno CO (1993) Altitude, temperature and shoot production of tea in the Kenyan Highlands. Experiment Agric 29:107–120

    Article  Google Scholar 

  • Thomson AM, Brown RA, Ghan SJ, Izaurralde RC, Rosenberg NJ, Leung LR (2002) Elevation dependence of winter wheat production in Eastern Washington State with climate change: a methodological study. Clim Chang 54:141–164

    Article  Google Scholar 

  • Weiss A, Hays J, Won J (2003) Assessing winter wheat responses to climate change scenarios: a simulation study in the US great plans. Clim Chang 58:119–147

    Article  Google Scholar 

  • Wilby RL, Wigley TML (1997) Downscaling general circulation model output: review of method and limitations. Prog Phys Geog 21:530–548

    Google Scholar 

  • WMO (2002) Atmospheric RCMs: a multi-purpose tool? Report of the joint WGNE/WGCM Ad Hoc Panel on Regional Climate Modeling

  • Wolf J (1993) Effects of climate change on wheat and maize production potential in the EC. In: Kenny GJ, Harrison PA, Parry ML (eds) The effect of climate change on the agricultural and horticultural potential in Europe. Environmental Change Unit, University of Oxford, Research Report No.2, pp 93–19

  • Xiong ZM, Cai HF, Min SK, Li BC (1992) Rice in China. Chinese Publishing Press of Agricultural Science and Technology, Beijing (in Chinese with English abstract)

    Google Scholar 

  • Xu YL, Jones RG (2004) Validating PRECIS with ECMWF reanalysis data over China. Chinese J Agrometeorol 25:5–9 (in Chinese)

    Google Scholar 

  • looseness-1Zhang XC, Liu WZ (2005) Simulating potential response of hydrology, soil erosion, and crop productivity to climate change in Changwu Tableland region on the loess plateau of China. Agric For Meteorol 131:127–142

    Article  Google Scholar 

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Correspondence to Fengmei Yao or Yinglong Xu.

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Yao, F., Xu, Y., Lin, E. et al. Assessing the impacts of climate change on rice yields in the main rice areas of China. Climatic Change 80, 395–409 (2007). https://doi.org/10.1007/s10584-006-9122-6

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  • DOI: https://doi.org/10.1007/s10584-006-9122-6

Keywords

  • Climate Change Scenario
  • Rice Yield
  • Crop Model
  • Daily Weather Data
  • Springer Climatic Change