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The spatio-temporal variations of frost-free period in China from 1951 to 2012  ( SCI-EXPANDED收录)  

文献类型:期刊文献

中文题名:The spatio-temporal variations of frost-free period in China from 1951 to 2012

英文题名:The spatio-temporal variations of frost-free period in China from 1951 to 2012

作者:Ning, Xiaoju[1,2];Liu, Gangjun[3];Zhang, Lijun[1];Qin, Xiaoyang[4];Zhou, Shenghui[1];Qin, Yaochen[1,2]

第一作者:Ning, Xiaoju;宁晓菊

通讯作者:Qin, YC[1];Qin, YC[2]

机构:[1]Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Henan, Peoples R China;[2]Henan Univ Econ & Law, Coll Resources & Environm, Henan Three New Types Coordinated Dev Ctr, Zhengzhou 450046, Peoples R China;[3]RMIT Univ, Coll Sci Engn & Hlth, 124 LaTrobe St, Melbourne, Vic 3000, Australia;[4]Henan Acad Sci, Inst Geog, Zhengzhou 450052, Peoples R China

第一机构:Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Henan, Peoples R China

通讯机构:[1]corresponding author), Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Henan, Peoples R China;[2]corresponding author), Henan Univ Econ & Law, Coll Resources & Environm, Henan Three New Types Coordinated Dev Ctr, Zhengzhou 450046, Peoples R China.|[104848]河南财经政法大学资源与环境学院;[10484]河南财经政法大学;

年份:2017

卷号:27

期号:1

起止页码:23-42

中文期刊名:地理学报:英文版

外文期刊名:JOURNAL OF GEOGRAPHICAL SCIENCES

收录:CSTPCD;;Scopus(收录号:2-s2.0-84996560109);WOS:【SCI-EXPANDED(收录号:WOS:000388979600002)】;CSCD:【CSCD2017_2018】;

基金:Foundation: National Basic Program of China (973 Program), No. 2012CB955800; National Natural Science Foundation of China, No. 41671536, No. 41501588; Qinghai Key Laboratory Open Fund of Disaster Prevention and Reduction, No. QHKF201401; Key Scientific Research Projects in Colleges and Universities, No. 17A170005

语种:英文

中文关键词:时空变化;无霜期;中国;农业生产;FFP;移动平均;时间序列;日最低气温

外文关键词:frost-free period; first frost date; last frost date; spatio-temporal variations; agricultural region; China

摘要:The frost-free period(FFP)first frost date(FFD) and last frost date(LFD) have been regard as the important climate variables for agricultural production. Understanding the spatio-temporal variations of the FFPFFD and LFD is beneficial to reduce the harmful impacts of climate change on agricultural production and enhance the agricultural adaptation. This study examined daily minimum temperatures for 823 national-level meteorological stationscalculated the values of FFDLFD and FFP for station-specific and region-specific from 1951 to 2012estimated the gradients of linear regression for station-specific moving averages of FFDLFD and FFPand assessed station-specific time series of FFP and detected the abrupt change. The results as follows: at both the station level and the regional levelthe FFP across China decreases with the increase of latitude from south to northand with the increase of altitude from east to west generally. At the station levelthe inter-annual fluctuations of FFDLFD and FFP in south and west agricultural regions are greater than those in north and east. At the regional levelexcluding the QT regiontemporal changes of FFP are relatively small in both the low-latitude and the high-latitude regionsbut for the mid-latitude regions. According to the linear trend gradients of the moving average values of station-specific FFDLFD and FFPFFD was delayedLFD advancedand FFP extended gradually over the 80% of China. Furthermorethe change magnitudes for FFDLFD and FFP in the north and east agricultural regions are higher than that in the southern and western. Among the 659 station-specific time series of FFP examined by the Mann-Kendall test341 stationslocated mainly in the north regionhave one identifiable and significant abrupt change. And at the 341 stations with identified abrupt changesmost(57%) abrupt changes occurred during 1991–2012followed by the periods of 1981–1990(28%)1971–1980(12%)and 1951–1970(3%). The spatio-temporal variations of FFDLFD and FFP would provide important guidance to agricultural practices.
The frost-free period (FFP), first frost date (FFD) and last frost date (LFD) have been regard as the important climate variables for agricultural production. Understanding the spatio-temporal variations of the FFP, FFD and LFD is beneficial to reduce the harmful impacts of climate change on agricultural production and enhance the agricultural adaptation. This study examined daily minimum temperatures for 823 national-level meteorological stations, calculated the values of FFD, LFD and FFP for station-specific and region-specific from 1951 to 2012, estimated the gradients of linear regression for station-specific moving averages of FFD, LFD and FFP, and assessed station-specific time series of FFP and detected the abrupt change. The results as follows: at both the station level and the regional level, the FFP across China decreases with the increase of latitude from south to north, and with the increase of altitude from east to west generally. At the station level, the inter-annual fluctuations of FFD, LFD and FFP in south and west agricultural regions are greater than those in north and east. At the regional level, excluding the QT region, temporal changes of FFP are relatively small in both the low-latitude and the high-latitude regions, but for the mid-latitude regions. According to the linear trend gradients of the moving average values of station-specific FFD, LFD and FFP, FFD was delayed, LFD advanced, and FFP extended gradually over the 80% of China. Furthermore, the change magnitudes for FFD, LFD and FFP in the north and east agricultural regions are higher than that in the southern and western. Among the 659 station-specific time series of FFP examined by the Mann-Kendall test, 341 stations, located mainly in the north region, have one identifiable and significant abrupt change. And at the 341 stations with identified abrupt changes, most (57%) abrupt changes occurred during 1991-2012, followed by the periods of 1981-1990 (28%), 1971-1980 (12%), and 1951-1970 (3%). The spatio-temporal variations of FFD, LFD and FFP would provide important guidance to agricultural practices.

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