Temporal and Spatial Variations of Vegetation Cover in Xinjiang from 2002 to 2015 and Their Response to Climate

被引:3
作者
Liu, S. S. [1 ]
Zhang, Q. [1 ]
Li, X. C. [2 ]
Song, W. J. [1 ]
Yang, J. N. [1 ]
Liu, X. J. [2 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
[2] Shandong Agr Univ, Coll Informat Sci & Engn, Tai An 271018, Shandong, Peoples R China
来源
3RD INTERNATIONAL SYMPOSIUM ON EARTH OBSERVATION FOR ARID AND SEMI-ARID ENVIRONMENTS (ISEO2016) | 2017年 / 74卷
关键词
D O I
10.1088/1755-1315/74/1/012021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, the dataset of normalized difference vegetation indexes (NDVIs) in the arid region in Xinjiang from 2002 to 2015 as well as the climate data from 52 meteorological stations are utilized and the temporal and spatial variations of NDVI in recent years and their response to temperature and precipitation are analyzed in combination with various methods such as the maximum value analysis, correlation analysis and spatial analysis. It is concluded that in the past 14 years, the annual maximum NDVIs of Xinjiang presented a moderate rising tendency; Under the influence of the global background, the temperature and precipitation also showed different degrees of increase, which showed a significant increase in temperature. The annual maximum NDVI had a significant correlation with the annual precipitation (correlation coefficient: 0.634), but no obvious correlation was identified between the annual maximum NDVI and the annual average temperature (correlation coefficient: 0.279). To this end, regarding to the climatic factors, the influence of precipitation on the vegetation cover is higher than that of temperature.
引用
收藏
页数:5
相关论文
共 7 条
[1]  
[戴声佩 Dai Shengpei], 2010, 地球信息科学学报, V12, P315
[2]  
Gao ZQ, 2000, CLIMATIC ENV RES, V5, P155
[3]  
[李净 Li Jing], 2016, [干旱区地理, Arid Land Geography], V39, P387
[4]  
[刘宪锋 Liu Xianfeng], 2015, [生态学报, Acta Ecologica Sinica], V35, P5331
[5]  
[神祥金 Shen Xiangjin], 2015, [地理科学, Scientia Geographica Sinica], V35, P622
[6]  
Yan X X, 2013, METEOROLOGICAL ENV S, V36, P42
[7]  
Zhang Qi, 2016, Chinese Journal of Plant Ecology, V40, P13