Arid
DOI10.1016/j.scitotenv.2015.03.097
An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change
Kadiyala, M. D. M.; Nedumaran, S.; Singh, Piara; Chukka, S.; Irshad, Mohammad A.; Bantilan, M. C. S.
通讯作者Kadiyala, M. D. M.
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2015
卷号521页码:123-134
英文摘要

The semi-arid tropical (SAT) regions of India are suffering from low productivity which may be further aggravated by anticipated climate change. The present study analyzes the spatial variability of climate change impacts on groundnut yields in the Anantapur district of India and examines the relative contribution of adaptation strategies. For this purpose, aweb based decision support tool that integrates crop simulation model and Geographical Information System(GIS) was developed to assist agronomic decision making and this tool can be scalable to any location and crop. The climate change projections of five global climate models (GCMs) relative to the 1980-2010 baseline for Anantapur district indicates an increase in rainfall activity to the tune of 10.6 to 25% during Midcentury period (2040-69) with RCP 8.5. The GCMs also predict warming exceeding 1.4 to 2.4 degrees C by 2069 in the study region. The spatial crop responses to the projected climate indicate a decrease in groundnut yields with four GCMs (MPI-ESM-MR, MIROC5, CCSM4 and HadGEM2-ES) and a contrasting 6.3% increase with the GCM, GFDL-ESM2M. The simulation studies using CROPGRO-Peanut model reveals that groundnut yields can be increased on average by 1.0%, 5.0%, 14.4%, and 20.2%, by adopting adaptation options of heat tolerance, drought tolerant cultivars, supplemental irrigation and a combination of drought tolerance cultivar and supplemental irrigation respectively. The spatial patterns of relative benefits of adaptation options were geographically different and the greatest benefits can be achieved by adopting new cultivars having drought tolerance and with the application of one supplemental irrigation at 60 days after sowing. (C) 2015 Elsevier B.V. All rights reserved.


英文关键词DSSAT Crop simulation Yield Virtual cultivars Climate change factors
类型Article
语种英语
国家India
收录类别SCI-E
WOS记录号WOS:000353909000015
WOS关键词CARBON-DIOXIDE ; CHANGE IMPACTS ; FOOD SECURITY ; EAST-AFRICA ; WATER-USE ; YIELD ; WHEAT ; AGRICULTURE ; ADAPTATION ; SIMULATION
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构International Crops Research Institute for the Semi-Arid Tropics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/190363
作者单位Int Crops Res Inst Semi Arid Trop, Hyderabad 502324, Andhra Pradesh, India
推荐引用方式
GB/T 7714
Kadiyala, M. D. M.,Nedumaran, S.,Singh, Piara,et al. An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change[J]. International Crops Research Institute for the Semi-Arid Tropics,2015,521:123-134.
APA Kadiyala, M. D. M.,Nedumaran, S.,Singh, Piara,Chukka, S.,Irshad, Mohammad A.,&Bantilan, M. C. S..(2015).An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change.SCIENCE OF THE TOTAL ENVIRONMENT,521,123-134.
MLA Kadiyala, M. D. M.,et al."An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change".SCIENCE OF THE TOTAL ENVIRONMENT 521(2015):123-134.
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