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首页> 外文期刊>Mausam: Journal of the Meteorological Department of India >Simulating impact of climatic variability and extreme climatic events on crop production
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Simulating impact of climatic variability and extreme climatic events on crop production

机译:模拟气候变化和极端气候事件对作物生产的影响

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摘要

Wide range of inter-annual climatic variability and frequent occurrence of extreme climatic events in Indian context is a great concern. There is a need to assess the impact of these events on agriculture production as well suggest the agri-management options for sustenance. The appropriate region specific agro-advisory needs to be established for the farmers and other stake holders. Crop simulation models are effective tools for assessing the crops' response to these climate related events and for suggesting suitable adaptation procedures for ensuring higher agricultural production. Remote sensing and GIS are effective tools in this regard to prepare the regional based agro-advisories, by linking with the crop simulation models and relational database layers of bio-physical and socio-economic aspects. For effective agro-advisory services, there is a need to link the other biotic and abiotic stresses for accurate estimates and generating window of suitable agri-management options. Crop simulation models can effectively integrate these stresses for crop and soil processes understanding and ultimate yield formation. In this review article, we have discussed about the inter-annual/seasonal climatic variability and occurrence of extreme climatic events in India and demonstrated the potential of crop models viz., INFOCROP, WTGROWS, DSSAT to assess the impact of these events (also including climate change) on growth and yield of crops and cropping systems and thereby suggesting appropriate adaptation strategies for sustenance. The potential of remote sensing for crop condition assessment and regionalational yield forecast has been demonstrated. Crop simulation tools coupled with remote sensing inputs through GIS can play an important role in evolving this unique operational platform of designing weather based agro-advisory services for India.
机译:在印度,大范围的年际气候变化和极端气候事件的频繁发生是一个令人关注的问题。有必要评估这些事件对农业生产的影响,并提出维持农业的农业管理方案。需要为农民和其他利益相关者建立适当的区域性农业咨询。作物模拟模型是评估作物对这些气候相关事件的反应并提出适当的适应程序以确保较高农业产量的有效工具。在这方面,遥感和地理信息系统是有效的工具,可通过与作物模拟模型以及生物物理和社会经济方面的关系数据库层相链接来编制基于区域的农业咨询。为了提供有效的农业咨询服务,需要将其他生物和非生物胁迫联系在一起,以进行准确的估算并生成合适的农业管理选择的窗口。作物模拟模型可以有效地整合这些压力,从而了解作物和土壤过程并最终形成产量。在这篇评论文章中,我们讨论了印度的年度/季节气候变化和极端气候事件的发生,并论证了作物模型的潜力,即INFOCROP,WTGROWS,DSSAT评估这些事件的影响(还包括气候变化)对作物和作物系统的生长和产量的影响,从而提出了维持生计的适当适应策略。遥感技术对作物状况评估和区域/国家单产预报的潜力已得到证明。作物模拟工具与通过GIS进行的遥感输入相结合,可以在发展这一独特的操作平台(为印度设计基于天气的农业咨询服务)中发挥重要作用。

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