The Impact of Meteorological Drought at Different Time Scales from 1986 to 2020 on Vegetation Changes in the Shendong Mining Area

被引:0
|
作者
Chen, Zhichao [1 ]
Qin, He [1 ]
Zhang, Xufei [1 ]
Xue, Huazhu [1 ]
Wang, Shidong [1 ]
Zhang, Hebing [1 ]
机构
[1] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China
基金
中国国家自然科学基金;
关键词
SPEI; meteorological drought; correlation analysis; spatiotemporal dynamic changes; CHINA;
D O I
10.3390/rs16152843
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Shendong Mining Area, being the largest coal base in the world, has significant challenges in the intensive development and utilization of coal resources, as well as the impact of a dry climate, which can have serious negative effects on the growth of flora in the region. Investigating the spatial and temporal patterns of how meteorological drought affects vegetation in the Shendong Mining Area at various time scales can offer a scientific foundation for promoting sustainable development and ecological restoration in the region. This study utilizes the Standardized Precipitation Evapotranspiration Index (SPEI) and Normalized Difference Vegetation Index (NDVI) data from 1986 to 2020 in the Shendong Mining Area. It employs Slope trend analysis, a Mann-Kendall test, a Geographic Detector, and other methods to examine the spatiotemporal distribution characteristics of meteorological drought at various time scales. Additionally, the study investigates the influence of these drought patterns on vegetation growth in the Shendong Mining Area. Across the mining area, there was a general decrease in the monthly average SPEI on an annual basis. However, on a seasonal, semi-annual, and annual basis, there was a gradual increase in the annual average SPEI, with a higher rate of increase in the southern region compared to the northern region. When considering the spatial variation trend in different seasons, both positive and negative trends were observed in winter and summer. The negative trend was mainly observed in the western part of the mining area, while the positive trend was observed in the eastern part. In spring, the mining area generally experienced drought, while in autumn, it generally experienced more precipitation. The mining area exhibits a prevailing distribution of vegetation, with a greater extent in the southeast and a lesser extent in the northwest. The vegetation coverage near the mine is insufficient, resulting in a low NDVI value, which makes the area prone to drought. Over the past few years, the mining area has experienced a significant increase in vegetation coverage, indicating successful ecological restoration efforts. Various forms of land use exhibit distinct responses to drought, with forests displaying the most positive correlation and barren land displaying the strongest negative correlation. Various types of landforms exhibit varying responses to drought. Loess ridge and hill landforms demonstrate the most pronounced positive association with monthly-scale SPEI values, whereas alluvial and floodplain landforms display the poorest positive correlation with yearly scale SPEI values. The general findings of this research can be summarized as follows: (1) The mining area exhibits a general pattern of increased humidity, with the pace of humidity increase having intensified in recent times. Seasonal variations exhibit consistent cyclic patterns. (2) There are distinct regional disparities in NDVI values, with a notable peak in the southeast and a decline in the northwest. The majority of the mining area exhibits a positive trend in vegetation recovery. (3) Regional meteorological drought is a significant element that influences changes in vegetation coverage in the Shendong Mining Area. Nevertheless, it displays complexity and is more obviously impacted by other factors at a small scale. (4) It should be noted that forests and barren land exert a more significant influence on SPEI values, despite their relatively lesser spatial coverage. The predominant land use type in most locations is grasslands; however, they have a relatively minor influence on SPEI. (5) A shorter time period, higher elevation, and steeper slope gradient all contribute to a larger correlation with drought.
引用
收藏
页数:26
相关论文
共 44 条
  • [21] Response of vegetation to water balance conditions at different time scales across the karst area of southwestern China-A remote sensing approach
    Zhou, Qiuwen
    Luo, Ya
    Zhou, Xu
    Cai, Mingyong
    Zhao, Cuiwei
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 645 : 460 - 470
  • [22] Analysis of Flash Drought and Its Impact on Forest Normalized Difference Vegetation Index (NDVI) in Northeast China from 2000 to 2020
    Adhikari, Saraswoti
    Zhou, Wanying
    Dou, Zeyu
    Sakib, Nazmus
    Ma, Rong
    Chaudhari, Bhavana
    Liu, Binhui
    ATMOSPHERE, 2024, 15 (07)
  • [23] Spatiotemporal Changes of Vegetation Growth and Its Influencing Factors in the Huojitu Mining Area from 1999 to 2023 Based on kNDVI
    Chen, Zhichao
    Cheng, Yiqiang
    Zhang, Xufei
    Zhu, Zhenyao
    Wang, Shidong
    Zhang, Hebing
    Zou, Youfeng
    Hao, Chengyuan
    REMOTE SENSING, 2025, 17 (03)
  • [24] Changes in Vegetation Resistance and Resilience under Different Drought Disturbances Based on NDVI and SPEI Time Series Data in Jilin Province, China
    Ma, Jiani
    Zhang, Chao
    Li, Shaner
    Yang, Cuicui
    Chen, Chang
    Yun, Wenju
    REMOTE SENSING, 2023, 15 (13)
  • [25] Effects of multi-time scales drought on vegetation dynamics in Qaidam River Basin, Qinghai-Tibet Plateau from 1998 to 2015
    Yongxiu Sun
    Shiliang Liu
    Yuhong Dong
    Shikui Dong
    Fangning Shi
    Theoretical and Applied Climatology, 2020, 141 : 117 - 131
  • [26] Effects of multi-time scales drought on vegetation dynamics in Qaidam River Basin, Qinghai-Tibet Plateau from 1998 to 2015
    Sun, Yongxiu
    Liu, Shiliang
    Dong, Yuhong
    Dong, Shikui
    Shi, Fangning
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 141 (1-2) : 117 - 131
  • [28] Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning
    Ming, Lei
    Wang, Yuandong
    Liu, Guangxu
    Meng, Lihong
    Chen, Xiaojie
    ECOLOGICAL INFORMATICS, 2024, 84
  • [29] Changes in Hydrothermal Conditions During the Spring Maize Growth Period in Inner Mongolia from 1961 to 2020 and Their Impact on the Meteorological Yield
    Qiao, Shuaishuai
    Yang, Xiujuan
    Yang, Feng
    Han, Congying
    Chen, Xuan
    Zhou, Hui
    Liu, Ye
    Cui, Chao
    WATER, 2025, 17 (03)
  • [30] Characteristics and impact factors of water and heat flux changes at different time scales during the growing season of desert grasslands
    Han, Xin
    Zhang, Baozhong
    Che, Zheng
    Wang, Jun
    Zhou, Qingyun
    Han, Nana
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2024, 40 (15): : 65 - 75