Analysis of factors influencing spatiotemporal differentiation of the NDVI in the upper and middle reaches of the Yellow River from 2000 to 2020

被引:7
|
作者
Gao, Siqi [1 ,2 ,3 ]
Dong, Guotao [3 ,4 ]
Jiang, Xiaohui [1 ,2 ]
Nie, Tong [1 ,2 ,3 ]
Guo, Xinwei [3 ]
机构
[1] Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Carr, Xian, Peoples R China
[2] Northwest Univ, Coll Urban & Environm Sci, Dept Phys geog, Xian, Peoples R China
[3] Yellow River Inst Hydraul Res, Yellow River Conservancy Commiss, Zhengzhou, Peoples R China
[4] Heihe Water Resources & Ecol Protect Res Ctr, Lanzhou, Peoples R China
关键词
NDVI; spatial heterogeneity; spatiotemporal variations; driving factors; geographical detector model; upper and middle reaches of the yellow river; CHINA; PRECIPITATION; ECOSYSTEMS; REGION; IMPACT; BASIN; EARTH; SOIL;
D O I
10.3389/fenvs.2022.1072430
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Surface vegetation represents a link between the atmosphere, water, and human society. The quality of the ecological environment in the upper and middle reaches of the Yellow River (UMRYR) has a direct impact on the downstream basin. However, only few studies have investigated vegetation changes in the UMRYR. Therefore, we used the coefficient of variation and linear regression analyses to investigate spatiotemporal variations in the normalized difference vegetation index (NDVI). Further, we used the geographical detector model (GDM) to determine the spatial heterogeneity of the NDVI and its driving factors and then investigated the factors driving the spatial distribution of the NDVI in different climatic zones and vegetation types. The results showed that the NDVI in the UMRYR was high during the study period. The NDVI was distributed in a spatially heterogeneous manner, and it decreased from the southeast to the northwest. We observed severe degradation in the southeast, mild degradation in the northwest and the Yellow River source region, and substantial vegetation recovery in the central basin. Precipitation and vegetation type drove the spatial distribution of the NDVI. Natural factors had higher influence than that of anthropogenic factors, but the interactions between the natural and anthropogenic factors exhibited non-linear and bivariate enhancements. Inter-annual variations in precipitation were the main natural factor influencing inter-annual NDVI variations, while precipitation and anthropogenic ecological restoration projects jointly drove NDVI changes in the UMRYR. This study provides a better understanding of the current status of the NDVI and mechanisms driving vegetation restoration in the UMRYR.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Spatiotemporal dynamics of net primary productivity and its influencing factors in the middle reaches of the Yellow River from 2000 to 2020
    Xuan, Wenxi
    Rao, Liangyi
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [2] Geographic Exploration of the Driving Forces of the NDVI Spatial Differentiation in the Upper Yellow River Basin from 2000 to 2020
    Han, Jinxu
    Zhang, Xiangyu
    Wang, Jianhua
    Zhai, Jiaqi
    SUSTAINABILITY, 2023, 15 (03)
  • [3] Spatiotemporal analysis of habitat quality and driving factors in the middle reaches of the Yellow River Basin
    Wang, Luyao
    Jia, Dong
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2025, 197 (04)
  • [4] Driving factors and trend prediction for annual runoff in the upper and middle reaches of the yellow river from 1990 to 2020
    Liu, Jie
    Tian, Jia
    Wu, Jingjing
    Feng, Xuejuan
    Li, Zishuo
    Wang, Yingxuan
    Ya, Qian
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (08):
  • [5] Driving Factors and Trend Prediction for Annual Sediment Transport in the Upper and Middle Reaches of the Yellow River from 2001 to 2020
    Wu, Jingjing
    Tian, Jia
    Liu, Jie
    Feng, Xuejuan
    Wang, Yingxuan
    Ya, Qian
    Li, Zishuo
    WATER, 2023, 15 (06)
  • [6] Spatiotemporal Changes in Prehistoric Land Use in Upper and Middle Reaches of Yellow River Valley
    Luan, Yajie
    Yu, Yanyan
    Yin, Huiyong
    LAND, 2024, 13 (06)
  • [7] Spatiotemporal evolution of vegetation phenology and its response to environmental factors in the upper and middle reaches of the Yellow River Basin
    Li, Xue
    Yu, Kunxia
    Xu, Guoce
    Li, Peng
    Li, Zhanbin
    Jia, Lu
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 380
  • [8] Spatiotemporal Changes and Influencing Factors of Rural Settlements in the Middle Reaches of the Yangtze River Region, 1990-2020
    Yao, Xiaowei
    Wu, Di
    LAND, 2023, 12 (09)
  • [9] Measurement and influencing factor analysis of TFEE in middle reaches of the Yellow River
    Wang H.
    Shang Y.
    Lv Y.
    Arabian Journal of Geosciences, 2021, 14 (13)
  • [10] Identifying Spatiotemporal Heterogeneity of PM2.5 Concentrations and the Key Influencing Factors in the Middle and Lower Reaches of the Yellow River
    Zhao, Hongbo
    Liu, Yaxin
    Gu, Tianshun
    Zheng, Hui
    Wang, Zheye
    Yang, Dongyang
    REMOTE SENSING, 2022, 14 (11)