Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin

被引:71
作者
Mishra, Ashok [1 ]
Singh, R. [1 ]
Raghuwanshi, N. S. [1 ]
Chatterjee, C. [1 ]
Froebrich, Jochen [2 ]
机构
[1] IIT Kharagpur, Agr & Food Engn Dept, Kharagpur 721302, W Bengal, India
[2] Wageningen UR, ALTERRA, NL-6708 PB Wageningen, Netherlands
关键词
Indian Ganga Basin; Rice-wheat cropping system; Climate change; Regional circulation model; DSSAT; FOOD-PRODUCTION; TEMPERATURE; ADAPTATION; SIMULATION; NORTHERN;
D O I
10.1016/j.scitotenv.2013.05.080
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Indian Ganga Basin (IGB), one of the most densely populated areas in the world, is facing a significant threat to food grain production, besides increased yield gap between actual and potential production, due to climate change. We have analyzed the spatial variability of climate change impacts on rice and wheat yields at three different locations representing the upper, middle and lower IGB. The DSSAT model is used to simulate the effects of climate variability and climate change on rice and wheat yields by analyzing: (i) spatial crop yield response to current climate, and (ii) impact of a changing climate as projected by two regional climate models, REMO and HadRM3, based on SRES A1B emission scenarios for the period 2011-2040. Results for current climate demonstrate a significant gap between actual and potential yield for upper, middle and lower IGB stations. The analysis based on RCM projections shows that during 2011-2040, the largest reduction in rice and wheat yields will occur in the upper IGB (reduction of potential rice and wheat yield respectively by 43.2% and 20.9% by REMO, and 24.8% and 17.2% by HadRM3). In the lower IGB, however, contrasting results are obtained, with HadRM3 based projections showing an increase in the potential rice and wheat yields, whereas, REMO based projections show decreased potential yields. We discuss the influence of agro-climatic factors; variation in temperature, length of maturity period and leaf area index which are responsible for modeled spatial variability in crop yield response within the IGB. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:S132 / S138
页数:7
相关论文
共 27 条
[1]  
Aggarwal P.K., 2009, GLOBAL CLIMATE CHANG, P5
[2]   InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model [J].
Aggarwal, PK ;
Banerjee, B ;
Daryaei, MG ;
Bhatia, A ;
Bala, A ;
Rani, S ;
Chander, S ;
Pathak, H ;
Kalra, N .
AGRICULTURAL SYSTEMS, 2006, 89 (01) :47-67
[3]  
[Anonymous], 2008, World Population Prospects: The 2008 Revision
[4]   The impact of temperature variability on wheat yields [J].
Asseng, Senthold ;
Foster, Ian ;
Turner, Neil C. .
GLOBAL CHANGE BIOLOGY, 2011, 17 (02) :997-1012
[5]   Simulation of impact of projected climate change on wheat in India [J].
Attri, SD ;
Rathore, LS .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2003, 23 (06) :693-705
[6]   Assessing the vulnerability of Indian mustard to climate change [J].
Boomiraj, K. ;
Chakrabarti, B. ;
Aggarwal, P. K. ;
Choudhary, R. ;
Chander, S. .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2010, 138 (3-4) :265-273
[7]  
Chandrasekharam D., 2007, FOOD WATER SECURITY, P315
[8]   Using CERES-Wheat to simulate durum wheat production and phenology in Southern Sardinia, Italy [J].
Dettori, Marco ;
Cesaraccio, Carla ;
Motroni, Andrea ;
Spano, Donatella ;
Duce, Pierpaolo .
FIELD CROPS RESEARCH, 2011, 120 (01) :179-188
[9]  
Hoogenboom G, 1994, CROP MODELS DSSAT VE, P620
[10]   Impact of elevated CO2 and temperature on rice yield and methods of adaptation as evaluated by crop simulation studies [J].
Krishnan, P. ;
Swain, D. K. ;
Bhaskar, B. Chandra ;
Nayak, S. K. ;
Dash, R. N. .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2007, 122 (02) :233-242