Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine
Understanding the impact of mining on surrounding vegetation gross primary productivity (GPP) is crucial for the ecological management of mining areas. Using the simple non-iterative clustering (SNIC) and random forest (RF) methods, we mapped the Dexing Copper Mine (DCM) at a 30 m spatial resolution...
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| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2451162 |
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| author | Duan Huang Zhiping Chen Hengkai Li Hong Chi Ming Liao |
| author_facet | Duan Huang Zhiping Chen Hengkai Li Hong Chi Ming Liao |
| author_sort | Duan Huang |
| collection | DOAJ |
| description | Understanding the impact of mining on surrounding vegetation gross primary productivity (GPP) is crucial for the ecological management of mining areas. Using the simple non-iterative clustering (SNIC) and random forest (RF) methods, we mapped the Dexing Copper Mine (DCM) at a 30 m spatial resolution with Landsat data from 1991 to 2022. The vegetation photosynthesis model (VPM) was selected to simulate vegetation GPP. Sens slope test and Hurst exponent method jointly used to reveal the spatial-temporal evolution of vegetation GPP. Results showed: (1) SNIC+RF was more effective than RF alone. The mine area expanded from 5.23 km2 to 24.97 km2 due to deforestation; (2) The vegetation GPP in 53.17% of the areas has significantly increased. The GPP reduction areas are primarily around the open pit and the tailings; (3) Vegetation GPP loss due to land cover change was −2×1010 gC, −2.7×1010 gC, and −2.79×1010 gC for 1991-2000, 2000-2012, and 2012-2022. |
| format | Article |
| id | doaj-art-5ff67f81d5b04275af186ba3996951cf |
| institution | Kabale University |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-5ff67f81d5b04275af186ba3996951cf2025-01-27T08:16:53ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2451162Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper MineDuan Huang0Zhiping Chen1Hengkai Li2Hong Chi3Ming Liao4Research Center of Resource and Environment Economics, East China University of Technology, Nanchang, ChinaKey Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, ChinaJiangxi Provincial Key Laboratory of Water Ecological Conservation at Headwater Regions, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, ChinaKey Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, ChinaJiangxi Provincial Natural Resources Cause Development Center, Nanchang, ChinaUnderstanding the impact of mining on surrounding vegetation gross primary productivity (GPP) is crucial for the ecological management of mining areas. Using the simple non-iterative clustering (SNIC) and random forest (RF) methods, we mapped the Dexing Copper Mine (DCM) at a 30 m spatial resolution with Landsat data from 1991 to 2022. The vegetation photosynthesis model (VPM) was selected to simulate vegetation GPP. Sens slope test and Hurst exponent method jointly used to reveal the spatial-temporal evolution of vegetation GPP. Results showed: (1) SNIC+RF was more effective than RF alone. The mine area expanded from 5.23 km2 to 24.97 km2 due to deforestation; (2) The vegetation GPP in 53.17% of the areas has significantly increased. The GPP reduction areas are primarily around the open pit and the tailings; (3) Vegetation GPP loss due to land cover change was −2×1010 gC, −2.7×1010 gC, and −2.79×1010 gC for 1991-2000, 2000-2012, and 2012-2022.https://www.tandfonline.com/doi/10.1080/10106049.2025.2451162Gross primary productivityland cover changeopencast miningrandom forestspatial-temporal evolution |
| spellingShingle | Duan Huang Zhiping Chen Hengkai Li Hong Chi Ming Liao Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine Geocarto International Gross primary productivity land cover change opencast mining random forest spatial-temporal evolution |
| title | Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine |
| title_full | Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine |
| title_fullStr | Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine |
| title_full_unstemmed | Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine |
| title_short | Evaluating the impacts of large-scale opencast copper mining on vegetation productivity change in recent thirty years: a case study of Dexing Copper Mine |
| title_sort | evaluating the impacts of large scale opencast copper mining on vegetation productivity change in recent thirty years a case study of dexing copper mine |
| topic | Gross primary productivity land cover change opencast mining random forest spatial-temporal evolution |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2451162 |
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