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首页> 外文期刊>Weather and Climate Extremes >Assessment of El Ni?o and La Ni?a impacts on China: Enhancing the Early Warning System on Food and Agriculture
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Assessment of El Ni?o and La Ni?a impacts on China: Enhancing the Early Warning System on Food and Agriculture

机译:EL NI的评估 - o和La Nina对中国的影响:加强粮食和农业预警系统

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摘要

Assessing crop production variations is of great importance for agriculture and food security worldwide. The impacts of El Ni?o and La Ni?a events are particularly critical for understanding these variations. Besides the individual El Ni?o and La Ni?a event, newly-identified El Ni?o and La Ni?a dominant cycles also add another dimension into the analysis. As the world largest food producer and importer, China has endeavored to increase its agricultural production while reducing climate risks over time. By using satellite-based indicators, ENSO (El Ni?o-Southern Oscillation) indices and grain yield statistics for China, the characteristics of ENSO events, as well as their relationships with crop-growing conditions and yields at different administrative levels are analyzed. The results show that the evaluation of agricultural impacts of an El Ni?o/La Ni?a event should consider both the dominant cycle in which the event occurs and the characteristics of the event itself, combined with local crop phenology. Additionally, county and prefectural level analysis shows that over the long term, in China, La Ni?a events tend to have net positive impacts on grain productivity compared to the effects of El Ni?o events. The analysis and methods presented can be extended to other countries in the world and help better understand the local agricultural impact of El Ni?o and La Ni?a phenomena. This, in turn, would improve the agriculture and food security related early warning capacities of countries to issue and trigger targeted and timely response and climate risk reduction measures.
机译:评估作物生产变化对于全球农业和粮食安全性具有重要意义。 El Ni的影响是对理解这些变化的事件尤为重要。除了个体El Ni吗?O和La Ni?一个事件,新识别的EL Ni?O和La Ni?一个主导的循环还将另一个维度添加到分析中。作为世界上最大的食品生产国和进口商,中国致力于增加其农业生产,同时降低了随着时间的推移而降低气候风险。通过使用基于卫星的指标,enso(El Ni?O-Southern振荡)对中国的指数和粮食产量统计,分析了ENSO事件的特点,以及与作物日益增长的条件和不同行政水平的产量的关系。结果表明,对EL NI的农业影响的评估?一个事件应该考虑事件发生的主导周期以及事件本身的特征,与当地作物候选相结合。此外,县和县级分析表明,在中国的长期内,与EL NI的影响相比,在中国,LA NI倾向于对谷物生产力进行净积极影响。提出的分析和方法可以扩展到世界其他国家,并有助于更好地了解EL NI和LA NI的当地农业影响?一个现象。反过来,这将改善农业和粮食安全相关的国家的早期预警能力,以发布和引发目标和及时的响应和气候风险降低措施。

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