Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
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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