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Comprehensive climate factor characteristics and quantitative analysis of their impacts on grain yields in Chinas grain-producing areas

机译:气候因素综合特征及其对我国粮食主产区粮食产量影响的定量分析

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摘要

Climate change elements are important indicators for assessing the impact of climate change on the agricultural economy. A Comprehensive Climate Factor (CCF) that is composed of three indicators, growing season mean temperature, precipitation and sunshine hours indicators was developed. These indicators are aggregated into a single index that is a measure of the sensitivity of regionally integrated climate change. This paper uses this factor to explore the integrated climate variations over China's grain-producing areas in 1981–2015, divide the areas into climate change-sensitive zones, and quantitatively assess the impact intensity of CCF variation on grain yield. The results indicate that the growing season mean CCF basically increased in most grain-producing areas. The climatic tendency of the North plate is greater than that of the South plate, reaching 0.52 decade , and the South plate has a quasi-4a periodic variation. The patterns of the impact of climate change on grain yield show that the impact intensity of climate change gradually decreased in each decade (from 0.25 to 0.2) and was stronger in the southwest than in the northeast. This research can be applied to improve the accuracy of economic-climate model simulations and predictions and to provide a theoretical reference and scientific support for assessing the impact and risk of climate change.
机译:气候变化要素是评估气候变化对农业经济影响的重要指标。制定了由三个指标组成的综合气候因子(CCF),即生长季节平均温度,降水和日照时间指标。这些指标汇总为一个单一指标,用于衡量区域一体化气候变化的敏感性。本文利用这一因素探讨了1981-2015年中国粮食主产区的综合气候变化,将这些区域划分为对气候变化敏感的区域,并定量评估了CCF变化对粮食产量的影响强度。结果表明,大多数谷物产区的生长季节平均CCF基本增加。北板块的气候趋势大于南板块的气候趋势,达到0.52个十年,南板块具有准4a周期变化。气候变化对谷物产量的影响模式表明,气候变化的影响强度在每十年中逐渐降低(从0.25降低到0.2),西南地区要强于东北地区。该研究可用于提高经济气候模型模拟和预测的准确性,并为评估气候变化的影响和风险提供理论参考和科学支持。

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