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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.
Li, Jun; Xu, Yaling; Zhang, Chengye; Guo, Junting; Wang, Xingjuan; Zhang, Yicong.
Afiliação
  • Li J; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China.
  • Xu Y; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China.
  • Zhang C; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China. czhang@cumtb.edu.cn.
  • Guo J; State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing, 102209, China.
  • Wang X; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China.
  • Zhang Y; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, China.
Environ Monit Assess ; 195(1): 224, 2022 Dec 23.
Article em En | MEDLINE | ID: mdl-36562885
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Mineração Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Monit Assess Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Mineração Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Monit Assess Ano de publicação: 2022 Tipo de documento: Article