Literature DB >> 30368677

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

Cheng Li1,2, Ranghui Wang3, Jianxiang Xu4, Yunjian Luo4, Mou Leong Tan5, Yelin Jiang3.   

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.

Entities:  

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

Mesh:

Year:  2018        PMID: 30368677     DOI: 10.1007/s00484-018-1623-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

1.  The role of drought on wheat yield interannual variability in the Iberian Peninsula from 1929 to 2012.

Authors:  P Páscoa; C M Gouveia; A Russo; R M Trigo
Journal:  Int J Biometeorol       Date:  2016-10-28       Impact factor: 3.787

2.  A comprehensively quantitative method of evaluating the impact of drought on crop yield using daily multi-scale SPEI and crop growth process model.

Authors:  Qianfeng Wang; Jianjun Wu; Xiaohan Li; Hongkui Zhou; Jianhua Yang; Guangpo Geng; Xueli An; Leizhen Liu; Zhenghong Tang
Journal:  Int J Biometeorol       Date:  2016-11-25       Impact factor: 3.787

  2 in total

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