首页> 外文OA文献 >Application of a progressive-difference method to identify climatic factors causing variation in the rice yield in the Yangtze Delta, China
【2h】

Application of a progressive-difference method to identify climatic factors causing variation in the rice yield in the Yangtze Delta, China

机译:应用渐进差分法识别长江三角洲水稻产量变化的气候因子

摘要

Time series of rice yields consist of a technology-driven trend and variations caused by climate fluctuations. To explore the relationship between yields and climate, the trend and temporal variation often have to be separated. In this study, a progressive-difference method was applied to eliminate the trend in time series. By differentiating yields and climatic factors in 2 successive years, the relationship between variations in yield and climatic factors was determined with multiple-regression analysis. The number of hours of sunshine, the temperature and the precipitation were each defined for different intervals during the growing season and used as different regression variables. Rice yields and climate data for the Yangtze Delta of China from 1961 to 1990 were used as a case study. The number of hours of sunshine during the tillering stage and the heading to milk stage particularly affected the yield. In both periods radiation was low. In the first period, the vegetative organs of the rice crop were formed while in the second period solar radiation was important for grain filling. The average temperature during the tillering to jointing stage reached its maximum, which affected rice yields negatively. Precipitation was generally low during the jointing and booting stages, which had a positive correlation with yield, while high precipitation had a negative effect during the milk stage. The results indicate that the climatic factors should be expressed as 20- to 30-day averages in the Yangtze Delta; a shorter or longer period, e.g. 10 or 40 days, is less appropriate.
机译:水稻产量的时间序列包括技术驱动的趋势和气候波动引起的变化。为了探索产量与气候之间的关系,往往必须将趋势和时间变化分开。在这项研究中,采用了一种渐进差分方法来消除时间序列的趋势。通过连续2年区分产量和气候因子,通过多元回归分析确定了产量和气候因子之间的关系。在生长季节中以不同的时间间隔分别定义日照小时数,温度和降水量,并用作不同的回归变量。以1961-1990年中国长江三角洲的水稻产量和气候数据为例。分till期和抽穗期的日照小时数特别影响产量。在这两个时期中,辐射都很低。在第一阶段,水稻作物的营养器官形成了,而在第二阶段,太阳辐射对于谷物的填充很重要。分er至拔节期的平均温度达到最高值,对水稻单产产生负面影响。在拔节和孕穗期,降水通常较低,这与产量呈正相关,而在牛奶期,高降水对产量有负面影响。结果表明,应将长江三角洲的气候因子表示为20至30天的平均值。较短或更长时间,例如10或40天不太合适。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号