[1]TIAN Hongwei,HU Chengda,HUANG Jin,et al.Spatial and Temporal Evolution of Annual Meteorological Harvest of Winter Wheat and Its Relationship with Atmospheric Circulation in Henan Province in Recent 30 Years[J].Research of Soil and Water Conservation,2020,27(06):346-352.
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Spatial and Temporal Evolution of Annual Meteorological Harvest of Winter Wheat and Its Relationship with Atmospheric Circulation in Henan Province in Recent 30 Years
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 06
Page number:
346-352
Column:
目次
Public date:
2020-10-20
- Title:
- Spatial and Temporal Evolution of Annual Meteorological Harvest of Winter Wheat and Its Relationship with Atmospheric Circulation in Henan Province in Recent 30 Years
- CLC:
- S162.5
- DOI:
- -
- Abstract:
- The objective of this study is to explore the responses of annual meteorological harvest of winter wheat to atmospheric circulation anomalies. Based on the yield record of winter wheat during 1988—2017 in 17 cites of Henan Province and the data of large-scale atmospheric circulation indices(LACI), the spatiotemporal variability of annual meteorological harvest of winter wheat was evaluated with climate-driven yield index(CDYI), and the main results are as follows.(1)By using principal component analysis, Henan could be divided into four sub-regions with different temporal variations in CDYI such as central-east, west, north, and south areas, and the fluctuation of CDYI in each sub-regions tended to moderate after 2000.(2)Compared with other sub-regions, the interdecadal oscillation of CDYI in north Henan was stronger, showing a increasing-decreasing-increasing-decreasing wavelike evolution.(3)Compared with other sub-regions, the linear relationship between CDYI and LACI in central Henan was the most significant.(4)Among different LACI, the average SST of El Nino1+2 region in December was the key precursor signal for annual meteorological harvest of winter wheat in central-east Hean, and every 1% increase in SST would lead to the yield decrease in 0.56%. In general, the antecedent LACI anomalies can be well used to predict the annual meteorological harvest of grain crops.
- References:
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Last Update:
2020-10-20