Arid
DOI10.1007/s00703-015-0419-8
Spatiotemporal properties of growing season indices during 1961-2010 and possible association with agroclimatological regionalization of dominant crops in Xinjiang, China
Ci, Hui1; Zhang, Qiang2,3,4,5; Singh, Vijay P.6,7; Xiao, Mingzhong3,4; Liu, Lin8
通讯作者Zhang, Qiang
来源期刊METEOROLOGY AND ATMOSPHERIC PHYSICS
ISSN0177-7971
EISSN1436-5065
出版年2016
卷号128期号:4页码:513-524
英文摘要

Variations of frost days and growing season length (GSL) have been drawing increasing attention due to their impact on agriculture. The Xinjiang region in China is climatically an arid region and plays an important role in agriculture development. In this study, the GSL and frost events are analyzed in both space and time, based on the daily minimum, mean and maximum air surface temperature data covering a period of 1961-2010. Results indicate that: (1) a significant lengthening of GSL is detected during 1961-2010 in Xinjiang, China. The increasing rate of GSL over Xinjiang is about 2.5 days per decade. Besides, the starting time of growing season is 0.7 days earlier per decade and the ending time is 1.6 days later per decade. Generally, GSL in southern Xinjiang has larger increasing magnitude when compared to other regions of Xinjiang; (2) longer GSL and larger changing magnitude of growing season start (GSS), growing season end (GSE) and GSL in southern Xinjiang implies higher sensitivity of the growing season response to climate warming. Besides, GSL is in close relation with latitude, and higher latitude usually corresponds to later start and earlier end of growing season, and hence shorter GSL. In general, a northward increase of 1A degrees latitude triggers an 8-day delay of the starting time of growing season, 6-day advance of the ending time of growing season, and thus the GSL is 14 days shorter; (3) GSL under different rates can reflect light and heat resources over Xinjiang. The GSL related to 80 % guarantee rate is 5-14 days shorter than the long-term annual mean GSL; (4) Lengthening of GSL has the potential to increase agricultural production. However, negative influences by climate warming, such as enhanced evapotranspiration, increasing weeds, insects, and pathogen-mediated plant diseases, should also be considered in planning, management and development of agriculture in Xinjiang.


类型Article
语种英语
国家Peoples R China ; USA
收录类别SCI-E
WOS记录号WOS:000381083500008
WOS关键词GREATER BALTIC AREA ; CLIMATIC EXTREMES ; 20TH-CENTURY ; TRENDS ; ONSET ; FROST ; VARIABILITY ; NORTHERN ; EUROPE ; CANADA
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/195051
作者单位1.Jiangsu Second Normal Univ, Nanjing 210013, Jiangsu, Peoples R China;
2.Suzhou Univ, Sch Civil Engn & Environm, Suzhou 234000, Anhui, Peoples R China;
3.Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China;
4.Sun Yat Sen Univ, Key Lab Water Cycle & Water Secur Southern China, Guangdong High Educ Inst, Guangzhou 510275, Guangdong, Peoples R China;
5.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China;
6.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA;
7.Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA;
8.Univ Cincinnati, Dept Geog, Cincinnati, OH 45221 USA
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Ci, Hui,Zhang, Qiang,Singh, Vijay P.,et al. Spatiotemporal properties of growing season indices during 1961-2010 and possible association with agroclimatological regionalization of dominant crops in Xinjiang, China[J],2016,128(4):513-524.
APA Ci, Hui,Zhang, Qiang,Singh, Vijay P.,Xiao, Mingzhong,&Liu, Lin.(2016).Spatiotemporal properties of growing season indices during 1961-2010 and possible association with agroclimatological regionalization of dominant crops in Xinjiang, China.METEOROLOGY AND ATMOSPHERIC PHYSICS,128(4),513-524.
MLA Ci, Hui,et al."Spatiotemporal properties of growing season indices during 1961-2010 and possible association with agroclimatological regionalization of dominant crops in Xinjiang, China".METEOROLOGY AND ATMOSPHERIC PHYSICS 128.4(2016):513-524.
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