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

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

Author information

1
Department of Ecology, Yangzhou University, Yangzhou, 225009, China. lichengnuist@163.com.
2
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China. lichengnuist@163.com.
3
School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
4
Department of Ecology, Yangzhou University, Yangzhou, 225009, China.
5
Geoscience and Digital Earth Centre, Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.

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.

KEYWORDS:

Ili river basin; Meteorological dryness/wetness features; Spring wheat yield

PMID:
30368677
DOI:
10.1007/s00484-018-1623-2
[Indexed for MEDLINE]

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