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中国伊犁河流域春小麦生产的气象干湿特征分析。

Analysis of meteorological dryness/wetness features for spring wheat production in the Ili River basin, China.

机构信息

Department of Ecology, Yangzhou University, Yangzhou, 225009, China.

School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.

出版信息

Int J Biometeorol. 2018 Dec;62(12):2197-2204. doi: 10.1007/s00484-018-1623-2. Epub 2018 Oct 27.

DOI:10.1007/s00484-018-1623-2
PMID:30368677
Abstract

Understanding the impacts of climate change on crop yield is important for improving crop growth and yield formation in northwestern China. In this study, we evaluated the relationship between meteorological dryness/wetness conditions and spring wheat yield in the Ili river basin (IRB). The climate and yield data from 1961 to 2013 were collected to analyze characteristics and correlations between these two variables using the standardized precipitation evapotranspiration index (SPEI), yield detrending method, modified Mann-Kendall test and Spearman correlation analysis. Main results were as follows: (1) correlations between monthly SPEI values (MSV) and climatic yield of spring wheat indicated that the dryness/wetness condition in May was a key factor affecting yield in the whole region; (2) although the MSV in May and yield fluctuated from negative to positive values in time, the severely and extremely dryness events were in good agreement with the higher yield losses; (3) each increase of 0.5 MSV in May promoted over 3% increase of yield in most part of IRB; however, the larger variability of MSV in May resulted in larger yield fluctuations; and (4) the Tibetan Plateau index in April showed significant correlations with the MSV in May and yield, which provided a precursory signal for decision-makers to better understand potential yield fluctuations.

摘要

了解气候变化对作物产量的影响,对于改善中国西北地区的作物生长和产量形成至关重要。本研究评估了伊犁河流域(IRB)气象干旱/湿润条件与春小麦产量之间的关系。收集了 1961 年至 2013 年的气候和产量数据,采用标准化降水蒸散指数(SPEI)、产量去趋势方法、修正曼肯德尔检验和 Spearman 相关分析,分析了这两个变量之间的特征和相关性。主要结果如下:(1)月 SPEI 值(MSV)与春小麦气候产量之间的相关性表明,5 月的干湿条件是影响整个地区产量的关键因素;(2)尽管 5 月 MSV 和产量随时间从负值到正值波动,但严重和极度干旱事件与更高的产量损失一致;(3)5 月 MSV 每增加 0.5,IRB 大部分地区的产量就会增加超过 3%;然而,5 月 MSV 的更大变异性导致了更大的产量波动;(4)4 月青藏高原指数与 5 月 MSV 和产量呈显著相关,为决策者提供了潜在产量波动的前兆信号。

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本文引用的文献

1
A comprehensively quantitative method of evaluating the impact of drought on crop yield using daily multi-scale SPEI and crop growth process model.一种利用每日多尺度标准化降水蒸散指数(SPEI)和作物生长过程模型评估干旱对作物产量影响的综合定量方法。
Int J Biometeorol. 2017 Apr;61(4):685-699. doi: 10.1007/s00484-016-1246-4. Epub 2016 Nov 25.
2
The role of drought on wheat yield interannual variability in the Iberian Peninsula from 1929 to 2012.1929年至2012年干旱对伊比利亚半岛小麦产量年际变化的影响
Int J Biometeorol. 2017 Mar;61(3):439-451. doi: 10.1007/s00484-016-1224-x. Epub 2016 Oct 28.