Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai-Tibetan Plateau from 1982 to 2011

被引:139
|
作者
Che, Mingliang [1 ,2 ]
Chen, Baozhang [1 ,3 ]
Innes, John L. [3 ]
Wang, Guangyu [3 ]
Dou, Xianming [4 ]
Zhou, Tianmo [5 ]
Zhang, Huifang [1 ,2 ]
Yan, Jianwu [1 ,2 ]
Xu, Guang [1 ,2 ]
Zhao, Hongwei [1 ,2 ]
机构
[1] Chinese Acad Sci, IGSNRR, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ British Columbia, Dept Forest Resource Management, Vancouver, BC V6T 1Z4, Canada
[4] China Univ Min & Technol, Sch Resources & Earth Sci, Xuzhou 221116, Peoples R China
[5] Capital Normal Univ, Key Lab Resources Environm & GIS, Beijing 100048, Peoples R China
基金
美国国家科学基金会;
关键词
Autumn phenology; End date of the vegetation growing season (EGS); Spatial-temporal variation; AVHRR LAI; Qinghai-Tibetan Plateau; TIME-SERIES; SPRING PHENOLOGY; MANN-KENDALL; TEMPERATURE; DYNAMICS; PATTERNS; TRENDS; TESTS;
D O I
10.1016/j.agrformet.2014.01.004
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The spatial and temporal variations in the end date of the vegetation growing season (EGS) and their relationships with climate factors across the Qinghai-Tibetan Plateau yet have not been well researched. In this study, we used the rate of the change in the curvature of the S-curve function which integrated a logistic function and an asymmetric Gaussian function and showed a better performance for fitting the LAI (leaf area index) data to extract the EGS from a long-term time series of AVHRR (advanced very high resolution radiometer) LAI data. The spatial distribution pattern of the EGS averaged from 1982 to 2011 presented a gradual decrease from the southeast to northwest plateau. The various vegetation types showed different phenological EGS timing. The EGS occurred earlier with increasing altitude (slope = -3 day km(-1), p < 0.001). Throughout the entire Qinghai-Tibetan Plateau, the monthly air temperature and precipitation were positively correlated with the EGS, whereas the monthly sunshine duration showed a negative correlation. At the regional scale, a less pronounced increasing EGS trend (shifting about 1 day over 24 years, p = 0.084) was observed during the entire study period. By analyzing the trend turning points, we found that the EGS occurred later during 1982-1994 (slope = 0.155 day yr(-1), p = 0.045) and 1999-2011 (slope = 0.096 day yr(-1), p = 0.3), but occurred earlier during 1994-1999 (slope = -0.373 day yr(-1),p = 0.049). During 1982-2011, the annual changes of EGS negatively correlated with precipitation (p < 0.1) in June, but positively with precipitation (p < 0.1) in August. As the same time, the annual changes of EGS positively correlated with sunshine duration (p < 0.1) in June, yet negatively with sunshine duration (p < 0.1) in August. During 1982-1994, the annual changes of EGS positively correlated with air temperature (p < 0.01) and negatively with precipitation (p < 0.1) in June. During 1994-1999, the annual changes of EGS only negatively correlated with air temperature (p < 0.05)in August. During 1999-2011, the annual changes of EGS only negatively correlated with sunshine duration (p < 0.1) in August. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:81 / 90
页数:10
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