Probabilistic evaluation of climate change impacts on paddy rice productivity in Japan

Climatic Change

Volumn 107, Issue 3, 2011, Pages 391-415

  Iizumi, Toshichika ^a   Yokozawa, Masayuki ^a   Nishimori, Motoki ^a  

^a NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE IMPACT; CLIMATE PROJECTION; CROP MODEL; EMISSION SCENARIO; EMPIRICAL PARAMETERS; GENERAL CIRCULATION MODEL; GEOGRAPHICAL MAPS; HOKKAIDO; PADDY RICE; PARAMETER VALUES; PROBABILISTIC EVALUATION; RELATIVE CONTRIBUTION; RESEARCH ISSUES; SOCIOECONOMIC PROCESS; STANDARD DEVIATION; WESTERN JAPAN;

BIOPHYSICS; CLIMATE MODELS; CROPS; CULTIVATION; PROBABILITY; PROBABILITY DENSITY FUNCTION;

CLIMATE CHANGE;

AGRICULTURAL MODELING; BASELINE CONDITIONS; CLIMATE CHANGE; CLIMATE EFFECT; CROP PRODUCTION; CROP YIELD; CULTIVATION; GENERAL CIRCULATION MODEL; PADDY FARMING; PROBABILITY; SOCIOECONOMIC IMPACT; UNCERTAINTY ANALYSIS;

JAPAN;

EID: 79960938250     PISSN: 01650009     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10584-010-9990-7     Document Type: Article

References (55)

1. Battisti DS, Naylor RL (2009) Historical warnings of future food insecurity with unprecedented seasonal heat. Science 323: 240-244.
2. Carter TR, Alfsen K, Barrow E, Bass B, Dai X, Desanker P, Gaffin SR, Giorgi F, Hulme M, Lal M, Mata LJ, Mearns LO, Mitchell JFB, Morita T, Moss R, Murdiyarso D, Pabon-Caicedo JD, Palutikof J, Parry ML, Rosenzweig C, Seguin B, Scholes RJ, Whetton PH (2007) Guidelines on the use of scenario data for climate impact and adaptation assessment version 2. In: The directory of supporting material. The IPCC Data Distribution Center. http://www. ipcc-data. org/guidelines/. Accessed 13 Apr 2009.
3. Challinor AJ, Wheeler TR (2008) Crop yield reduction in the tropics under climate change: processes and uncertainties. Agric For Meteorol 148: 343-356.
4. 2 climates. Phil Trans Roy Soc B 360: 1981-2194.
5. Challinor AJ, Wheeler TR, Hemming D, Upadhyaya HD (2009) Ensemble yield simulations: crop and climate uncertainties, sensitivity to temperature and genotypic adaptation to climate change. Clim Res 38: 117-127.
6. Delworth TL, Broccoli AJ, Rosati A, Stouffer RJ, Balaji V, Beesley JA, Cooke WF, Dixon KW, Dunne J, Dunne KA, Durachta JW, Findell KL, Ginoux P, Gnanadesikan A, Gordon CT, Griffies SM, Gudgel R, Harrison MJ, Held IM, Hemler RS, Horowitz LW, Klein SA, Knutson TR, Kushner PJ, Langenhorst AR, Lee HC, Lin SJ, Lu J, Malyshev SL, Milly PCD, Ramaswamy V, Russell J, Schwarzkopf MD, Shevliakova E, Sirutis JJ, Spelman MJ, Stern WF, Winton M, Wittenberg AT, Wyman B, Zeng F, Zhang R (2006) GFDL's CM2 global coupled climate models-part 1: formulation and simulation characteristics. J Clim 19: 643-674.
7. Easterling WE, Aggarwal PK, Batima P, Brander KM, Erda L, Howden SM, Kirilenko A, Morton J, Soussana J-F, Schmidhuber J, Tubiello FN (2007) Food, fiber and forest products. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 273-313.
8. Emori S, Nozawa T, Abe-Ouchi A, Numaguti A, Kimoto M, Nakajima T (1999) Coupled ocean-atmosphere model experiments of future climate change with an explicit representation of sulfate aerosol scattering. J Meteorol Soc Jpn 77: 1299-1307.
9. Flato GM, Boer GJ, Lee WG, McFarlane NA, Ramsden D, Reader MC, Weaver AJ (2000) The Canadian center for climate modeling and analysis global coupled model and its climate. Clim Dyn 16: 451-467.
10. Geman S, Geman D, Abend K, Harley TJ, Kanal LN (1993) Stochastic relaxation: Gibbs distributions and the Bayesian restoration of images. J Appl Stat 20: 25-62.
11. Geographical Survey Institute (GSI) (1998) User's guide for numerical map, revised 2nd edn. Japan Map Center, Tokyo.
12. Godwin DC, Singh U, Buresh RT, DeDatta SK (1990) Modeling of nitrogen dynamics in relation to rice growth and yield. In: 14th International soil science congress, IV-320-325, Aug. 1990, Kyoto, Japan.
13. Gordon HB, Rotstayn LD, McGregor JL, Dix MR, Kowalczyk EA, O'Farrell SP, Waterman LJ, Hirst AC, Wilson SG, Collier MA, Watterson IG, Elliott TI (2002) The CSIRO Mk3 climate system model. CSIRO Atmospheric Research Technical Paper 60, p 130.
14. Hansen J, Russell G, Rind D, Stone P, Lacis A, Lebedeff S, Ruedy R, Travis L (1983) Efficient three-dimensional global models for climate studies: models I and II. Mon Weather Rev 3: 609-662.
15. Horie T, Nakagawa H, Centeno HGS, Kropff MJ (1995a) The rice crop simulation model SIMRIW and its testing. In: Matthews RB, Kropff MJ, Bachelet D (eds) Modeling the impact of climate change on rice production in Asia. IRRI and CAB International, pp 51-66.
16. Horie T, Nakagawa H, Ohnishi M, Nakano J (1995b) Rice production in Japan under current and future climates. In: Matthews RB, Kropff MJ, Bachelet D (eds) Modeling the impact of climate change on rice production in Asia. IRRI and CAB International, pp 143-164.
17. Houghton JT, Jenkins GJ, Ephraums JJ (1990) Climate change: the IPCC scientific assessment. Contribution of working group I to the first assessment report of the intergovernmental panel on climate change. Cambridge University Press, New York, p 365.
18. Houghton JT, Meira Filho LG, Callander BA, Harris N, Kattenberg A, Maskell K (1995) Climate change 1995: the science of climate change. Contribution of working group I to the second assessment report of the intergovernmental panel on climate change. Cambridge University Press, New York, p 572.
19. Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (2001) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 881.
20. Iizumi T, Hori ME, Yokozawa M, Nakagawa H, Hayashi Y, Kimura F (2006) Impact of global warming on rice production in Japan based on five coupled atmosphere-ocean GCMs. SOLA 2: 156-159.
21. Iizumi T, Hayashi Y, Kimura F (2007) Influence on rice production in Japan from cool and hot summers after global warming. J Agric Meteorol 63: 11-23.
22. Iizumi T, Yokozawa M, Hayashi Y, Kimura F (2008) Climate change impact on rice insurance payouts in Japan. J Appl Meteorol Climatol 47: 2265-2278.
23. Iizumi T, Yokozawa M, Nishimori M (2009) Parameter estimation and uncertainty analysis of a large-scale crop model for paddy rice: application of a Bayesian approach. Agric For Meteorol 149: 333-348.
24. Katz RW (2002) Techniques for estimating uncertainty in climate change scenarios and impact studies. Clim Res 20: 167-185.
25. 2 concentration and high temperature on growth and yield of rice: I. The effect on development, dry matter production and some growth characteristics. Japan J Crop Sci 65: 634-643.
26. Kimoto M, Yasutomi N, Yokoyama C, Emori S (2005) Projected changes in precipitation characteristics around Japan under the global warming. SOLA 1: 85-88.
27. Kropef MJ, Matthews RB, van Laar HH, ten Berge HFM (1995) The rice model ORYZA1 and its testing. In: Matthews RB, Kropff MJ, Bachelet D (eds) Modeling the impact of climate change on rice production in Asia. IRRI and CAB International, pp 27-50.
28. Kurihara K, Ishihara K, Sasaki H, Fukuyama Y, Saitou H, Takayabu I, Murazaki K, Sato Y, Yukimoto S, Noda A (2005) Projection of climatic change over Japan due to global warming by high-resolution regional climate model in MRI. SOLA 1: 97-100.
29. K-1 model developers (2004) K-1 coupled GCM (MIROC) description. In: Hasumi H, Emori S (eds) K-1 tech report 1. Center for Climate System Research, Tokyo, pp 1-39.
30. Leggett J, Pepper WJ, Swart RJ (1992) Emissions scenarios for the IPCC: an update. Climate change 1992, The supplementary report to the IPCC scientific assessment. Cambridge University Press, Cambridge, pp 68-95.
31. Lobell DB, Burke MB (2008) Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environ Res Lett. doi: 10. 1088/1748-9326/3/3/034007.
32. Manabe S, Wethetald RT (1986) Reduction in summer soil wetness induced by an increase in atmospheric carbon dioxide. Science 232: 626-628.
33. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007a) Global climate projections. 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, pp 747-845.
34. Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE (2007b) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 88: 1383-1394.
35. Ministry of Agriculture, Forestry and Fisheries (MAFF) (1998) A new method for calculating decare standard yield of paddy rice in Japan. Association of Agriculture and Forestry Statistics, Tokyo (in Japanese).
36. Murphy JM, Sexton DMH, Barnett DN, Jones GS, Webb MJ, Collins M, Stainforth DA (2004) Quantification of modeling uncertainties in a large ensemble of climate change simulations. Nature 430: 768-772.
37. Nakagawa H, Horie T, Matsui T (2003) Effects of climate change on rice production and adaptive technologies. In: Mew TW, Brar DS, Peng S, Dawe D, Hardy B (eds) Rice science: innovations and impact for livelihood. IRRI and Chinese Academy of Engineering and Chinese Academy of Agricultural Sciences, pp 635-658.
38. Nakicenovic N, Swart R (2000) Special report on emissions scenarios: a special report of working group III of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 612.
39. Oberhuber JM, Roeckner E, Christoph M, Esch M, Latif M (1998) Predicting the '97 E1 Nino event with a global climate model. Geophys Res Lett 25: 2273-2276.
40. Okada M, Iizumi T, Nishimori M, Yokozawa M (2009) Mesh climate change data of Japan ver. 2 for assessing climate change impacts under IPCC SRES A1B and A2. J Agric Meteorol 65: 97-109.
41. Parry ML, Rosenzweig C, Iglesias A, Livermore M, Fischer G (2004) Effects of climate change on global food production under SRES emissions and socio-economic scenarios. Glob Environ Change 14: 53-67.
42. Roeckner E, Arpe K, Bengtsson L, Brinkop S, Dumenil L, Esch M, Kirk E, Lunkeit F, Ponater M, Rockel B, Suasen R, Schlese U, Schubert S, Windelband M (1992) Simulation of the present-day climate with the ECHAM4 model: impact of model physics and resolution. Max Planck Institute for Meteorology, Report No. 93, Hamburg, p 171.
43. Schmidli J, Frei C, Vidale PL (2006) Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods. Int J Climatol 26: 679-689.
44. Seino H (1993) An estimation of distribution of meteorological elements using GIS and AMeDAS data. J Agric Meteorol 48: 379-383.
45. Seino H (1995) The impacts of climate warming on cereal crop production in Japan. J Agric Meteorol 51: 131-138.
46. Tao F, Hayashi Y, Zhang Z, Sakamoto T, Yokozawa M (2008) Global warming, rice production, and water use in China: developing a probabilistic assessment. Agric For Meteorol 148: 94-110.
47. Tao F, Yokozawa M, Zhang Z (2009a) Modeling the impacts of weather and climate variability on crop productivity over a large area: a new process-based model development, optimization, and uncertainties analysis. Agric For Meteorol 149: 831-850.
48. Tao F, Zhang Z, Liu J, Yokozawa M (2009b) Modeling the impacts of weather and climate variability on crop productivity over a large area: a new super-ensemble based probability projection. Agric For Meteorol 149: 1266-1278.
49. Toritani H, Yonemura S, Yokozawa M (1999) Potential rice yield in the 21st century in Japan under the climate change scenario based on MRI-CGCM. J Japan Agric Syst Soc 15: 8-16.
50. 2 and world food supply: a comment on 'Food for Thought' by Long et al. Science 312: 1918-1921, 2006. Eur J Agron 26: 215-223.
51. Watterson IG, O'Farrell SP, Dix MR (1997) Energy and water transport in climates simulated by a general circulation model that includes dynamic sea ice. J Geophys Res 102(D10), 11, 027-11, 037.
52. 2 climate sensitivity experiment with a global climate model including a simple ocean. J Geophys Res 92, D11. doi: 10. 1029/JD092iD11p13315.
53. Yokozawa M, Iizumi T, Okada M (2009) Large scale projection of climate change impacts on variability in rice yield in Japan. Glob Environ Res 14: 199-206 (in Japanese).
54. Yukimoto S, Noda A (2002) Improvements of the meteorological research institute global ocean-atmosphere coupled GCM (MRI-CGCM2) and its climate sensitivity. Center Glob Environ Res (CGER)'s Super Computer Activity Report 10: 37-44.
55. Yukimoto S, Noda A, Kitoh A, Sugi M, Kitamura Y, Hosaka M, Shibata K, Maeda S, Uchiyama T (2001) A new meteorological research institute coupled GCM (MRI-CGCM2): its climate and variability. Pap Meteorol Geophys 51: 47-88.