24 Leakey A D B, Ainsworth E A, Bernacchi C J, et al. Elevated CO2 effects on plant carbon, nitrogen, and water relations: Six importantlessons from FACE. J Exp Bot, 2009, 60: 2859-2876??
[2]
25 Zhang T, Zhu J, Yang X. Non-stationary thermal time accumulation reduces the predictability of climate change effects on agriculture.Agric For Meteorol, 2008, 148: 1412-1418??
[3]
26 Todorovic M, Albrizio R, Zivotic L, et al. Assessment of aquacrop, cropsyst, and WOFOST models in the simulation of sunflower growthunder different water regimes. Agron J, 2009, 101: 509-521??
[4]
30 Ewert F, Rodriguez D, Jamieson P, et al. Effects of elevated CO2 and drought on wheat: Testing crop simulation models for differentexperimental and climatic conditions. Agric Ecosyst Environ, 2002, 93: 249-266??
[5]
31 Matthews R, Wassmann R. Modelling the impacts of climate change and methane emission reductions on rice production: A review. Eur JAgron, 2003, 19: 573-598
[6]
33 Cipra B. Revealing uncertainties in computer models. Science, 2000, 287: 960-961??
[7]
35 Wang J, Wang E L, Luo Q Y, et al. Modelling the sensitivity of wheat growth and water balance to climate change in Southeast Australia.Clim Change, 2009, 96: 79-96??
[8]
36 Easterling W E, Chen X F, Hays C, et al. Improving the validation of model-simulated crop yield response to climate change: Anapplication to the EPIC model. Clim Res, 1996, 6: 263-273??
[9]
37 Carbone G J, Mearns L O, Mavromatis T, et al. Evaluating CROPGRO-Soybean performance for use in climate impact studies. Agron J,2003, 95: 537-544??
[10]
40 Gregory P J, Johnson S N, Newton A C, et al. Integrating pests and pathogens into the climate change/food security debate. J Exp Bot,2009, 60: 2827-2838??
[11]
42 Lobell D B, Asner G P. Climate and management contributions to recent trends in US agricultural yields. Science, 2003, 299: 1032??
[12]
50 Challinor A J, Osborne T, Morse A, et al. Methods and resources for climate impacts research: Achieving synergy. Bull Am Meteorol Soc,2009, 90: 836-848??
[13]
52 Osborne T M, Lawrence D M, Challinor A J, et al. Development and assessment of a coupled crop-climate model. Global Change Biol,2007, 13: 169-183??
[14]
53 Tao F, Yokozawa M, Zhang Z. Modelling the impacts of weather and climate variability on crop productivity over a large area: A newprocess-based model development, optimization, and uncertainties analysis. Agric For Meteorol, 2009, 149: 831-850??
[15]
55 Masutomi Y, Takahashi K, Harasawa H, et al. Impact assessment of climate change on rice production in Asia in comprehensiveconsideration of process/parameter uncertainty in general circulation models. Agric Ecosyst Environ, 2009, 131: 281-291??
[16]
60 Tebaldi C, Lobell D B. Towards probabilistic projections of climate change impacts on global crop yields. Geophys Res Lett, 2008, 35:L08705??
[17]
70 Refsgaard J C, van der Sluijs J P, Brown J, et al. A framework for dealing with uncertainty due to model structure error. Adv Water Res,2006, 29: 1586-1597??
[18]
73 Lobell D B, Ortiz-Monasterio J I. Impacts of day versus night temperatures on spring wheat yields: A comparison of empirical and CERESmodel predictions in three locations. Agron J, 2007, 99: 469-477??
[19]
74 Collins M. Ensembles and probabilities: A new era in the prediction of climate change. Phil Trans R Soc A, 2007, 365: 1957-1970??
[20]
75 Lobell D B, Burke M B, Tebaldi C, et al. Prioritizing climate change adaptation needs for food security in 2030. Science, 2008, 319:607-610??
[21]
77 Challinor A J, Wheeler T, Hemming D, et al. Ensemble yield simulations: Crop and climate uncertainties, sensitivity to temperature andgenotypic adaptation to climate change. Clim Res, 2009, 38: 117-127??
[22]
78 Naylor R L, Battisti D S, Vimont D J, et al. Assessing risks of climate variability and climate change for Indonesian rice agriculture. ProcNatl Acad Sci USA, 2007, 104: 7752-7757??
[23]
86 Ines A V M, Hansen J W. Bias correction of daily GCM rainfall for crop simulation studies. Agric For Meteorol, 2006, 138: 44-53??
[24]
87 Baigorria G A, Jones J W, O’Brien J J. Potential predictability of crop yield using an ensemble climate forecast by a regional circulationmodel. Agric For Meteorol, 2008, 148: 1353-1361??
[25]
88 Beven K. Towards a coherent philosophy for modelling the environment. Proc R Soc A, 2002, 458: 2465-2484??
4 Yao F M, Xu Y L, Lin E D, et al. Assessing the impacts of climate change on rice yields in the main rice areas of China. Clim Change,2007, 80: 395-409??
[29]
5 Tubiello F N, Soussana J F, Howden S M. Crop and pasture response to climate change. Proc Natl Acad Sci USA, 2007, 104:19686-19690??
[30]
6 IPCC. Climate Change 2007: Impacts, Adaptation and Vulnerability—Contribution of Working Group II to the Fourth Assessment Reportof the Intergovernmental Panel on Climate Change. Cambridge: Cabmridge University Press, 2007
10 Challinor A J, Wheeler T R, Slingo J M, et al. Quantification of physical and biological uncertainty in the simulation of the yield of atropical crop using present-day and doubled CO2 climates. Phil Trans R Soc B, 2005, 360: 2085-2094??
[33]
11 Walker W E, Harremo?s P, Rotmans J, et al. Defining uncertainty: A conceptual basis for uncertainty management in model-baseddecision support. Integr Assess, 2004, 4: 5-17
16 Moss R H, Edmonds J A, Hibbard K A, et al. The next generation of scenarios for climate change research and assessment. Nature, 2010,463: 747-756??
[38]
23 Tubiello F N, Amthor J S, Boote K J, et al. Crop response to elevated CO2 and world food supply: A comment on “Food for Thought” byLong et al. , Science 312:1918-1921, 2006. Eur J Agron, 2007, 26: 215-223
[39]
27 Aggarwal P K, Mall R K. Climate change and rice yields in diverse agro-environments of India. II. Effect of uncertainties in scenarios andcrop models on impact assessment. Clim Change, 2002, 52: 331-343??
[40]
28 Bachelet D, Gay C A. The impacts of climate change on rice yield—A comparison of four model performances. Ecol Model, 1993, 65:71-93??
[41]
29 Challinor A J, Wheeler T R. Crop yield reduction in the tropics under climate change: Processes and uncertainties. Agric For Meteorol,2008, 148: 343-356??
[42]
32 Mearns L O, Mavromatis T, Tsvetsinskaya E, et al. Comparative responses of EPIC and CERES crop models to high and low spatialresolution climate change scenarios. J Geophys Res Atmos, 1999, 104: 6623-6646??
[43]
34 Sadras V O, Calvi?o P A. Quantification of grain yield response to soil depth in soybean, maize, sunflower, and wheat. Agron J, 2001, 93:577-583??
[44]
38 Lenz-Wiedemann V I S, Klar C W, Schneider K. Development and test of a crop growth model for application within a global changedecision support system. Ecol Model, 2010, 221: 314-329??
[45]
39 Weiss A, Wilhelm W. The circuitous path to the comparison of simulated values from crop models with field observations. J Agric Sci,2006, 144: 475-488??
[46]
41 White J W, Boote K J, Hoogenboom G, et al. Regression-based evaluation of ecophysiological models. Agron J, 2007, 99: 419-427??
44 Aggarwal P K. Uncertainties in crop, soil and weather inputs used in growth-models—Implications for simulated outputs and theirapplications. Agric Sys, 1995, 48: 361-384??
[49]
45 Niu X, Easterling W, Hays C J, et al. Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impacton sorghum yields in the U. S. Great Plains. Agric Ecosyst Environ, 2009, 129: 268-276??
[50]
46 Baron C, Sultan B, Balme M, et al. From GCM grid cell to agricultural plot: Scale issues affecting modelling of climate impact. Phil TransR Soc B, 2005, 360: 2095-2108??
48 Challinor A J, Ewert F, Arnold S, et al. Crops and climate change: Progress, trends, and challenges in simulating impacts and informingadaptation. J Exp Bot, 2009, 60: 2775-2789??
[53]
49 Bakker M M, Govers G, Ewert F, et al. Variability in regional wheat yields as a function of climate, soil and economic variables:Assessing the risk of confounding. Agric Ecosyst Environ, 2005, 110: 195-209??
[54]
51 Challinor A J, Wheeler T R, Craufurd P Q, et al. Design and optimisation of a large-area process-based model for annual crops. Agric ForMeteorol, 2004, 124: 99-120??
[55]
54 Iizumi T, Yokozawa M, Nishimori M. Parameter estimation and uncertainty analysis of a large-scale crop model for paddy rice:Application of a Bayesian approach. Agric For Meteorol, 2009, 149: 333-348??
[56]
56 Reidsma P, Ewert F, Boogaard H, et al. Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics onmaize yields. Agric Sys, 2009, 100: 51-60??
[57]
57 Challinor A J, Wheeler T R. Use of a crop model ensemble to quantify CO2 stimulation of water-stressed and well-watered crops. AgricFor Meteorol, 2008, 148: 1062-1077??
[58]
58 Shlyakhter A, James L, Valverde A, et al. Integrated risk analysis of global climate change. Chemosphere, 1995, 30: 1585-1618??
[59]
59 New M, Hulme M. Representing uncertainty in climate change scenarios: A Monte-carlo approach. Integr Assess, 2000, 1: 203-213??
[60]
61 Lobell D B, Burke M B. Why are agricultural impacts of climate change so uncertain? The importance of temperature relative toprecipitation. Environ Res Lett, 2008, 3: 1-8
64 Jones R N. Analysing the risk of climate change using an irrigation demand model. Clim Res, 2000, 14: 89-100
[64]
65 Dessai S, Hulme M. Assessing the robustness of adaptation decisions to climate change uncertainties: A case study on water resourcesmanagement in the East of England. Glob Environ Change, 2007, 17: 59-72??
[65]
66 Katz R W. Techniques for estimating uncertainty in climate change scenarios and impact studies. Clim Res, 2002, 20: 167-185??
[66]
67 Makowski D, Naud C, Jeuffroy M H, et al. Global sensitivity analysis for calculating the contribution of genetic parameters to the varianceof crop model prediction. Reliab Eng Syst Safe, 2006, 91: 1142-1147??
69 Lamboni M, Makowski D, Lehuger S, et al. Multivariate global sensitivity analysis for dynamic crop models. Field Crops Res, 2009, 113:312-320??
[69]
71 Peng S B, Huang J L, Sheehy J E, et al. Rice yields decline with higher night temperature from global warming. Proc Natl Acad Sci USA,2004, 101: 9971-9975??
[70]
72 Sheehy J E, Mitchell P L, Ferrer A B. Decline in rice grain yields with temperature: Models and correlations can give different estimates.Field Crops Res, 2006, 98: 151-156??
[71]
76 Tao F L, Zhang Z, Liu J Y, et al. Modelling the impacts of weather and climate variability on crop productivity over a large area: A newsuper-ensemble-based probabilistic projection. Agric For Meteorol, 2009, 149: 1266-1278??
[72]
79 New M, Lopez A, Dessai S, et al. Challenges in using probabilistic climate change information for impact assessments: An example fromthe water sector. Phil Trans R Soc A, 2007, 365: 2117-2131??
[73]
80 Jones R N. An environmental risk assessment/management framework for climate change impact assessments. Nat Hazards, 2001, 23:197-230??
[74]
81 Luo Q Y, Bellotti W, Williams M, et al. Risk analysis of possible impacts of climate change on South Australian wheat production. ClimChange, 2007, 85: 89-101
[75]
82 Hanson J W, Jones J W. Scaling-up crop models for climate variability application. Agric Sys, 2000, 65: 43-72??
[76]
83 Mavromatis T, Boote K J, Jones J W, et al. Developing genetic coefficients from crop simulation models using data from cropperformance trials. Crop Sci, 2001, 41: 40-51??
[77]
84 Challinor A J, Wheeler T R, Slingo J M, et al. Design and optimisation of a large-area process-based model for annual crops. Agric ForMeteorol, 2004, 124: 99-120??
[78]
85 de Wit A J W, van Diepen C A. Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts.Agric For Meteorol, 2007, 146: 38-56??
[79]
89 Mo X, Beven K. Multi-objective parameter conditioning of a three-source wheat canopy model. Agric For Meteorol, 2004, 122: 39-63??
[80]
90 Blasone R S, Vrugt J A, Madsen H, et al. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain MonteCarlo sampling. Adv Water Res, 2008, 31: 630-648??
[81]
91 He J Q, Jones J W, Graham W D, et al. Influence of likelihood function choice for estimating crop model parameters using the generalizedlikelihood uncertainty estimation method. Agric Sys, 2010, 103: 256-264??
[82]
92 Zhang J H, Yao F M, Zheng L Y, et al. Evaluation of grassland dynamics in the Northern-Tibet Plateau of China using remote sensing andclimate data. Sensor, 2007, 7: 3312-3328??
[83]
3 Parry M, Rosenzweig C, Iglesias A, et al. Climate change and world food security: A new assessment. Glob Environ Change, 1999,9(Suppl 1): 51-67??
[84]
8 Murphy J M, Sexton D M H, Barnett D N, et al. Quantification of modelling uncertainties in a large ensemble of climate changesimulations. Nature, 2004, 430: 768-772??
[85]
9 Dubrovsky M, Zalud Z, Stastna M. Sensitivity of ceres-maize yields to statistical structure of daily weather series. Clim Change, 2000, 46:447-472??
21 Lin E D, Xiong W, Ju H, et al. Climate change impacts on crop yield and quality with CO2 fertilization in China. Phil Trans R Soc B,2005, 360: 2149-2154??
[92]
22 Long S P, Ainsworth E A, Leakey A D B, et al. Food for thought: Lower-than-expected crop yield stimulation with rising CO2concentrations. Science, 2006, 312: 1918-1921??