Spatiotemporal Analysis of Vegetation Cover in Relation to Its Driving Forces in Qinghai-Tibet Plateau

被引:11
作者
Xu, Tong [1 ,2 ]
Wu, Hua [1 ,2 ]
机构
[1] Tibet Univ, Sch Engn, Lhasa 850032, Peoples R China
[2] Joint Lab Remote Sensing Monitoring Plateau Surfac, Lhasa 850032, Peoples R China
来源
FORESTS | 2023年 / 14卷 / 09期
关键词
Qinghai-Tibet plateau; Normalized Difference Vegetation Index (NDVI); spatial and temporal changes; driving forces; geographic detector; CLIMATE; RESPONSES; NDVI; TEMPERATURE; GRASSLANDS; INCREASE;
D O I
10.3390/f14091835
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The Tibet Plateau of Qinghai supports complex vegetation types that are ecologically fragile and sensitive to climatic factors. Therefore, it is important to understand the changes in vegetation and the factors responsible for these changes and to maintain the ecosystem balance and promote sustainable development in the region. Therefore, this paper is based on annual SPOT/VEG NDVI (Normalized Difference Vegetation Index) data, land use data, topographic data, temperature data, and precipitation data from 1999 to 2019. The spatiotemporal variation in the NDVI over the Tibetan Plateau in the last 21 years and its response to different driving factors were investigated by using the Theil-Sen slope method, Mann-Kendall test, partial correlation analysis, and geographical detector method. The results showed that (1) the vegetation coverage on the Qinghai-Tibet Plateau showed an increasing trend from 1999 to 2019, with increases in approximately 67.00% of the plateau area. (2) The spatial differences in vegetation coverage were large; notably, low-density vegetation areas decreased obviously, moderate-density vegetation areas accounted for approximately 50% of the total area, high-density vegetation areas were the least common, and the overall growth rate was significant. (3) The NDVI was positively correlated with temperature and precipitation, and a positive correlation was observed in more than 66% of the region. (4) The order of the influence of single driving factors on the NDVI was as follows: precipitation > soil type > altitude > temperature > gradient > slope > population density > GDP. (5) The combined effect of the factors was significantly higher than that of single driving factors, with a notable nonlinear influence. The interactions between meteorological factors, such as precipitation, and topographic factors, such as altitude, were important, with a q-value over 0.79. The results of this study provide some methodological support for the ecological conservation of the Tibetan Plateau, and at the same time establish a scientific and reasonable strategy for vegetation restoration.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Spatiotemporal Variation of Vegetation on the Qinghai-Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000-2019)
    Chen, Junhan
    Yan, Feng
    Lu, Qi
    REMOTE SENSING, 2020, 12 (19)
  • [22] Spatial and Temporal Variation in Vegetation Cover and Its Response to Topography in the Selinco Region of the Qinghai-Tibet Plateau
    Huang, Hongxin
    Xi, Guilin
    Ji, Fangkun
    Liu, Yiyang
    Wang, Haoran
    Xie, Yaowen
    REMOTE SENSING, 2023, 15 (16)
  • [23] Trend analysis of vegetation dynamics in Qinghai-Tibet Plateau using Hurst Exponent
    Peng, Jian
    Liu, Zhenhuan
    Liu, Yinghui
    Wu, Jiansheng
    Han, Yinan
    ECOLOGICAL INDICATORS, 2012, 14 (01) : 28 - 39
  • [24] Evaluating the Snow Cover Service Value on the Qinghai-Tibet Plateau
    Gao, Xianglong
    Feng, Qi
    Liu, Wen
    Deng, Xiaohong
    Zhu, Meng
    Zhang, Baiting
    Xue, Jian
    REMOTE SENSING, 2024, 16 (14)
  • [25] Effects of climate change on vegetation dynamics of the Qinghai-Tibet Plateau, a causality analysis using empirical dynamic modeling
    Li, Zhaoni
    Qu, Hongchun
    Li, Lin
    Zheng, Jian
    Wei, Dianwen
    Wang, Fude
    HELIYON, 2023, 9 (05)
  • [26] Analysis of vegetation changes and dominant factors on the Qinghai-Tibet Plateau, China
    HongWei Wang
    Yuan Qi
    ChunLin Huang
    XiaoYing Li
    XiaoHong Deng
    JinLong Zhang
    Sciences in Cold and Arid Regions, 2019, 11 (02) : 150 - 158
  • [27] Analysis of spatiotemporal variation of formaldehyde column concentration in Qinghai-Tibet Plateau and its influencing factors
    Yongjia Zhang
    Tianzhen Ju
    Yao Shi
    QingQing Wang
    FengShuai Li
    Guoqiang Zhang
    Environmental Science and Pollution Research, 2021, 28 : 55233 - 55251
  • [28] Analysis of spatiotemporal variation of formaldehyde column concentration in Qinghai-Tibet Plateau and its influencing factors
    Zhang, Yongjia
    Ju, Tianzhen
    Shi, Yao
    Wang, QingQing
    Li, FengShuai
    Zhang, Guoqiang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (39) : 55233 - 55251
  • [29] Climate Change and Livestock Management Drove Extensive Vegetation Recovery in the Qinghai-Tibet Plateau
    Liu, Enqin
    Xiao, Xiangming
    Shao, Huaiyong
    Yang, Xin
    Zhang, Yali
    Yang, Yang
    REMOTE SENSING, 2021, 13 (23)
  • [30] Spatiotemporal Distribution Characteristics of Actual Evapotranspiration in the Qinghai-Tibet Plateau
    Huang, Shan
    Xiao, Tiangui
    Jia, La
    Han, Lin
    ATMOSPHERE, 2023, 14 (09)