Unmixing the coupling influence from driving factors on vegetation changes considering spatio-temporal heterogeneity in mining areas: a case study in Xilinhot, Inner Mongolia, China

被引:9
|
作者
Li, Jun [1 ]
Xu, Yaling [1 ]
Zhang, Chengye [1 ]
Guo, Junting [2 ]
Wang, Xingjuan [1 ]
Zhang, Yicong [1 ]
机构
[1] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
[2] State Key Lab Water Resource Protect & Utilizat Co, Beijing 102209, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional vegetation cover; Mining area; Geographically and temporally weighted regression; Driving factors; Coupling influence; Contribution; CLIMATE-CHANGE; DYNAMICS; MINE; ENVIRONMENT; PREDICTION; QUALITY;
D O I
10.1007/s10661-022-10815-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Considering the spatio-temporal heterogeneity, this study resolved the coupling influence of a variety of driving factors on vegetation changes in mining areas and discovered the influencing characteristics of the respective driving factors, especially mining activities. First, the spatio-temporal characteristics of FVC (fractional vegetation cover) variation were analyzed in the Sheng-Li mining area. Second, the quantitative relationships among the natural factors (temperature, precipitation, and elevation), artificial factors (mining activities, urban activities), and FVC were constructed by GTWR (geographically and temporally weighted regression) to quantify the contribution of each factor to the change in FVC. Third, the influencing characteristics of the respective driving factors, especially mining activities, were analyzed and summarized. The results show that (1) the FVC change was mainly influenced by natural factors in the areas far from mines and towns and artificial factors in the areas close to mines and towns. (2) The contribution of mining activities to vegetation change (C-Mine) was spatially characterized by two features: (a) distance attenuation characteristics: C-Mine showed logarithmic decrement with distance; (b) directional heterogeneity: C-Mine varied significantly in different directions. In particular, there was a high C-Mine area located near multiple mining areas, and the range of this area shifted to include the mine with more production over time. Overall, unmixing the coupling influence from driving factors with spatio-temporal heterogeneity and achieving a quantitative description of the influencing characteristics in mining areas were the main contributions of this study. The quantification methods and results in this paper provide important support for decision-making on ecological protection and restoration in mining areas.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Spatio-Temporal Changes of Vegetation Net Primary Productivity and Its Driving Factors on the Qinghai-Tibetan Plateau from 2001 to 2017
    Zhang, Yin
    Hu, Qingwu
    Zou, Fengli
    REMOTE SENSING, 2021, 13 (08)
  • [32] Response of vegetation dynamics in environmentally sensitive and fragile areas to natural and anthropogenic factors: A case study in Inner Mongolia Autonomous Region, China
    Zhao, Dan
    Wang, Zuwei
    Wu, Xiangjun
    Qiu, Tian
    ANTHROPOCENE, 2023, 44
  • [33] Spatio-temporal heterogeneity and coupling effect of mining economy, social governance and environmental conservation: Evidence from Guangxi Zhuang Autonomous Region, China
    Liu, Mingkai
    Zhang, Hongyan
    Hou, Kaixin
    Gong, Xiaoju
    Liu, Changxin
    PLOS ONE, 2024, 19 (04):
  • [34] Spatio-temporal analysis of the influence of mining on the surface - A case study from the Ostrava-Karvina Coal Field
    Jirankova, E.
    Waclawik, P.
    ROCK MECHANICS FOR RESOURCES, ENERGY AND ENVIRONMENT, 2013, : 739 - 743
  • [35] Spatio-Temporal Evolution of Vegetation Coverage and Eco-Environmental Quality and Their Coupling Relationship: A Case Study of Southwestern Shandong Province, China
    Ma, Dongling
    Wang, Qian
    Huang, Qingji
    Lin, Zhenxin
    Yan, Yingwei
    FORESTS, 2024, 15 (07):
  • [36] Spatio-temporal evolution of the early-warning status of cultivated land and its driving factors: A case study of Heilongjiang Province, China
    Chen, Lili
    Song, Ge
    Meadows, Michael E.
    Zou, Chaohui
    LAND USE POLICY, 2018, 72 : 280 - 292
  • [37] Exploration of Spatio-Temporal Characteristics of Carbon Emissions from Energy Consumption and Their Driving Factors: A Case Analysis of the Yangtze River Delta, China
    Wang, Weiwu
    Chen, Huan
    Wang, Lizhong
    Li, Xinyu
    Mao, Danyi
    Wang, Shan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (15)
  • [38] Spatio-Temporal Evolution of Ecological Resilience in Ecologically Fragile Areas and Its Influencing Factors: A Case Study of the Wuling Mountains Area, China
    Wu, Jilin
    Yang, Manhong
    Zuo, Jinyou
    Yin, Ningling
    Yang, Yimin
    Xie, Wenhai
    Liu, Shuiliang
    SUSTAINABILITY, 2024, 16 (09)
  • [39] Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China
    Na, Jiaming
    Zhu, Jie
    Zheng, Jiazhu
    Di, Shaoning
    Ding, Hu
    Ma, Lingfei
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (05)
  • [40] Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region-A Case Study of 17 Cities in Hubei Province, China
    Tan, Shukui
    Zhang, Maomao
    Wang, Ao
    Ni, Qianlin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (05) : 1 - 18