Acknowledgment to the Reviewers of Journal of Environmental & Earth Sciences in 2025
2026-02-06
Environmental Stress and Carbon Storage Optimization in Mining-Driven Land Use in Northern Shaanxi
Authors
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Wei Jing
Yulin University College of Architecture and Engineering, Yulin 71900, China
DOI:
https://doi.org/10.30564/jees.v8i6.13246Abstract
This review synthesizes advances in simulating environmental stress effects and coordinating carbon storage optimization within mining-driven land use evolution, with a focus on the Shaanxi Northern Mining Area Basin. Intensive coal exploitation reshapes land use/land cover patterns through excavation, subsidence, waste dumping, and infrastructure expansion, while simultaneously intensifying coupled stresses such as soil degradation, vegetation loss, hydrological disruption, and erosion. We summarize how recent land system modeling has progressed from static suitability constraints toward dynamic, spatially explicit frameworks that incorporate stress indicators and, increasingly, feedbacks between environmental processes and land conversion. We then assess approaches for quantifying carbon storage under mining disturbance, ranging from coefficient-based carbon accounting to ecosystem service and process-based models, emphasizing uncertainty sources linked to land classification, carbon density heterogeneity, and scale mismatch. Building on these foundations, we review coordinated optimization strategies that integrate carbon storage objectives with land demand and environmental constraints through multi-objective and scenario-based methods. Such frameworks reveal context-dependent trade-offs and synergies among mining development, reclamation, and ecological restoration, and carbon sequestration potential, particularly under water-limited and erosion-prone conditions. Finally, we identify research priorities for mining basins, including tighter coupling of stress, carbon, and land dynamics, improved representation of socio-economic decision-making behavior, long-term monitoring and validation, and uncertainty-aware decision support. These directions can strengthen low-carbon, resilient land use planning in ecologically fragile mining regions.
Keywords:
Mining-Driven Land Use Change, Environmental Stress, Carbon Storage, Land System Simulation, MultiObjective OptimizationReferences
[1] Mashala, M.J., Dube, T., Mudereri, B.T., et al., 2023. A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments. Remote Sensing. 15(16), 3926. DOI: https://doi.org/10.3390/rs15163926
[2] Han, J., Hu, Z., Mao, Z., et al., 2022. How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate. Remote Sensing. 14(9), 2014. DOI: https://doi.org/10.3390/rs14092014
[3] Zhu, X., Li, J., Cheng, H., et al., 2022. Assessing the impacts of ecological governance on carbon storage in an urban coal mining subsidence area. Ecological Informatics. 72, 101901. DOI: https://doi.org/10.1016/j.ecoinf.2022.101901
[4] Yang, Z., Li, W., Pei, Y., et al., 2018. Classification of the type of eco-geological environment of a coal mine district: A case study of an ecologically fragile region in Western China. Journal of Cleaner Production. 174, 1513–1526. DOI: https://doi.org/10.1016/j.jclepro.2017.11.049
[5] Wang, N., Luo, Y., Liu, Z., et al., 2022. Spatial distribution characteristics and evaluation of soil pollution in coal mine areas in Loess Plateau of northern Shaanxi. Scientific Reports. 12(1), 16440. DOI: https://doi.org/10.1038/s41598-022-20865-6
[6] Li, W., Liu, S., Pei, Y., et al., 2018. Zoning for eco-geological environment before mining in Yushenfu mining area, northern Shaanxi, China. Environmental Monitoring and Assessment. 190(10), 619. DOI: https://doi.org/10.1007/s10661-018-6996-5
[7] Lian, X., Hu, H., Li, T., et al., 2020. Main geological and mining factors affecting ground cracks induced by underground coal mining in Shanxi Province, China. International Journal of Coal Science & Technology. 7(2), 362–370. DOI: https://doi.org/10.1007/s40789-020-00308-1
[8] Zhang, K., Liu, S., Bai, L., et al., 2023. Effects of Underground Mining on Soil–Vegetation System: A Case Study of Different Subsidence Areas. Ecosystem Health and Sustainability. 9, 0122. DOI: https://doi.org/10.34133/ehs.0122
[9] Singh, H., Shah, S., Giri, K., et al., 2026. Carbon Neutrality and Environmental Sustainability: Concept and Significance. In: Singh, H. (Ed.). Forestry for a Carbon-Neutral and Sustainable Future, Sustainability Solutions. Springer Nature: Cham, Switzerland. pp. 1–25. DOI: https://doi.org/10.1007/978-3-032-06427-1_1
[10] Liu, K., Cheng, P., Zhang, A., et al., 2025. Beyond environmental sustainability: Low‐carbon land use policies can contribute to the realization of comprehensive sustainable development. Sustainable Development. 33(1), 1315–1332. DOI: https://doi.org/10.1002/sd.3180
[11] Wang, G., Zhou, J., 2025. Optimizing the spatial layout of mining areas to help carbon neutrality: Land use change driven by improved NSGA II algorithms. Environment, Development and Sustainability. DOI: https://doi.org/10.1007/s10668-025-06255-8
[12] Ma, J., Zhou, Y., He, L., 2025. A Systematic Review of Carbon Sink Pathways and Deployment Strategies. Preprints. DOI: https://doi.org/10.20944/preprints202509.0346.v1
[13] Li, S., Dan, Z., Yin, T., 2026. Mining-induced land use change and ecological restoration: Lessons from three developing economies. Physics and Chemistry of the Earth, Parts A/B/C. 142, 104267. DOI: https://doi.org/10.1016/j.pce.2025.104267
[14] Padhiary, M., Kumar, R., 2024. Assessing the Environmental Impacts of Agriculture, Industrial Operations, and Mining on Agro-Ecosystems. In: Azrour, M., Mabrouki, J., Alabdulatif, A., et al. (Eds.). Smart Internet of Things for Environment and Healthcare, Studies in Computational Intelligence. Springer Nature: Cham, Switzerland. pp. 107–126. DOI: https://doi.org/10.1007/978-3-031-70102-3_8
[15] Song, W., Song, W., Gu, H., et al., 2020. Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas. International Journal of Environmental Research and Public Health. 17(6), 1846. DOI: https://doi.org/10.3390/ijerph17061846
[16] Dhakate, R., Modi, D., Rao, V.V.S.G., 2019. Impact assessment of coal mining on river water and groundwater and its interaction through hydrological, isotopic characteristics, and simulation flow modeling. Arabian Journal of Geosciences. 12(1), 8. DOI: https://doi.org/10.1007/s12517-018-4110-5
[17] Smith, P., House, J.I., Bustamante, M., et al., 2016. Global change pressures on soils from land use and management. Global Change Biology. 22(3), 1008–1028. DOI: https://doi.org/10.1111/gcb.13068
[18] Ekka, P., Patra, S., Upreti, M., et al., 2023. Land Degradation and Its Impacts on Biodiversity and Ecosystem Services. In: Raj, A., Jhariya, M.K., Banerjee, A., et al. (Eds.). Land and Environmental Management through Forestry. Wiley: London, UK. pp. 77–101. DOI: https://doi.org/10.1002/9781119910527.ch4
[19] Punia, A., Bharti, R., 2023. Loss of soil organic matter in the mining landscape and its implication to climate change. Arabian Journal of Geosciences. 16(1), 86. DOI: https://doi.org/10.1007/s12517-023-11177-8
[20] Paraskevis, N., Servou, A., Roumpos, C., et al., 2021. Spatiotemporal Interactions between Surface Coal Mining and Land Cover and Use Changes. Journal of Sustainable Mining. 20(2), 72–89. DOI: https://doi.org/10.46873/2300-3960.1053
[21] Su, Y., Ma, X., Feng, Q., et al., 2023. Patterns and controls of ecosystem service values under different land-use change scenarios in a mining-dominated basin of northern China. Ecological Indicators. 151, 110321. DOI: https://doi.org/10.1016/j.ecolind.2023.110321
[22] Song, J., Yang, Z., Xia, J., et al., 2021. The impact of mining-related human activities on runoff in northern Shaanxi, China. Journal of Hydrology. 598, 126235. DOI: https://doi.org/10.1016/j.jhydrol.2021.126235
[23] Lambin, E.F., Meyfroidt, P., 2010. Land use transitions: Socio-ecological feedback versus socio-economic change. Land Use Policy. 27(2), 108–118. DOI: https://doi.org/10.1016/j.landusepol.2009.09.003
[24] Kerényi, A., McIntosh, R.W., 2020. Changes on Earth as a Result of Interaction Between the Society and Nature. In Sustainable Development in Changing Complex Earth Systems, Sustainable Development Goals Series. Springer International Publishing: Cham, Switzerland. pp. 75–202. DOI: https://doi.org/10.1007/978-3-030-21645-0_4
[25] Patel, J.B., Raval, Z., 2024. The Impacts of Urbanization on Ecological Systems: A Comprehensive Study of the Complex Challenges Arising from Rapid Urban Growth. Research Review Journal of Indian Knowledge Systems. 1(1), 1–10. DOI: https://doi.org/10.31305/rrjiks.2024.v1.n1.001
[26] Zine, H., Hakkou, R., Papazoglou, E.G., et al., 2024. Revegetation and ecosystem reclamation of post-mined land: toward sustainable mining. International Journal of Environmental Science and Technology. 21(15), 9775–9798. DOI: https://doi.org/10.1007/s13762-024-05697-3
[27] Noszczyk, T., 2019. A review of approaches to land use changes modeling. Human and Ecological Risk Assessment: An International Journal. 25(6), 1377–1405. DOI: https://doi.org/10.1080/10807039.2018.1468994
[28] Firozjaei, M.K., Sedighi, A., Firozjaei, H.K., et al., 2021. A historical and future impact assessment of mining activities on surface biophysical characteristics change: A remote sensing-based approach. Ecological Indicators. 122, 107264. DOI: https://doi.org/10.1016/j.ecolind.2020.107264
[29] Aspinall, R., Staiano, M., 2017. A Conceptual Model for Land System Dynamics as a Coupled Human–Environment System. Land. 6(4), 81. DOI: https://doi.org/10.3390/land6040081
[30] Mia, M., Karikar, B.A., Mohibul, S., et al., 2026. Environmental and Socio-economic Impacts of River Sand and Gravel Mining: A Review. Environmental Management. 76(3), 76. DOI: https://doi.org/10.1007/s00267-025-02370-4
[31] Blanco, H., Lal, R., 2023. Soil Resilience. In Soil Conservation and Management. Springer Nature: Cham, Switzerland. pp. 525–544. DOI: https://doi.org/10.1007/978-3-031-30341-8_21
[32] Chang, X., Zhang, F., Cong, K., et al., 2021. Scenario simulation of land use and land cover change in mining area. Scientific Reports. 11(1), 12910. DOI: https://doi.org/10.1038/s41598-021-92299-5
[33] Lucas, L.V., Brown, C.J., Robertson, D.M., et al., 2025. Gaps in Water Quality Modeling of Hydrologic Systems. Water. 17(8), 1200. DOI: https://doi.org/10.3390/w17081200
[34] Sonter, L.J., Moran, C.J., Barrett, D.J., et al., 2014. Processes of land use change in mining regions. Journal of Cleaner Production. 84, 494–501. DOI: https://doi.org/10.1016/j.jclepro.2014.03.084
[35] Magris, R.A., Marta-Almeida, M., Monteiro, J.A.F., et al., 2019. A modelling approach to assess the impact of land mining on marine biodiversity: Assessment in coastal catchments experiencing catastrophic events (SW Brazil). Science of The Total Environment. 659, 828–840. DOI: https://doi.org/10.1016/j.scitotenv.2018.12.238
[36] Azimi Sardari, M.R., Bazrafshan, O., Panagopoulos, T., et al., 2019. Modeling the Impact of Climate Change and Land Use Change Scenarios on Soil Erosion at the Minab Dam Watershed. Sustainability. 11(12), 3353. DOI: https://doi.org/10.3390/su11123353
[37] Feng, Y., Harrison, J.P., Bozorgzadeh, N., 2019. Uncertainty in In Situ Stress Estimations: A Statistical Simulation to Study the Effect of Numbers of Stress Measurements. Rock Mechanics and Rock Engineering. 52(12), 5071–5084. DOI: https://doi.org/10.1007/s00603-019-01891-9
[38] Li, G., Mizuta, Y., Ishida, T., et al., 2009. Stress field determination from local stress measurements by numerical modelling. International Journal of Rock Mechanics and Mining Sciences. 46(1), 138–147. DOI: https://doi.org/10.1016/j.ijrmms.2008.07.009
[39] Yu, H., Zahidi, I., 2023. Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Science of The Total Environment. 864, 161135. DOI: https://doi.org/10.1016/j.scitotenv.2022.161135
[40] Hu, B., Zhang, Q., Li, S., et al., 2022. Application of Numerical Simulation Methods in Solving Complex Mining Engineering Problems in Dingxi Mine, China. Minerals. 12(2), 123. DOI: https://doi.org/10.3390/min12020123
[41] Bastante, F.G., Taboada, J., Alejano, L., et al., 2008. Optimization tools and simulation methods for designing and evaluating a mining operation. Stochastic Environmental Research and Risk Assessment. 22(6), 727–735. DOI: https://doi.org/10.1007/s00477-007-0182-6
[42] Feng, H., Wang, S., Zou, B., et al., 2023. Contribution of land use and cover change (LUCC) to the global terrestrial carbon uptake. Science of The Total Environment. 901, 165932. DOI: https://doi.org/10.1016/j.scitotenv.2023.165932
[43] Gomes, L.C., Faria, R.M., De Souza, E., et al., 2019. Modelling and mapping soil organic carbon stocks in Brazil. Geoderma. 340, 337–350. DOI: https://doi.org/10.1016/j.geoderma.2019.01.007
[44] Estes, L., Chen, P., Debats, S., et al., 2018. A large‐area, spatially continuous assessment of land cover map error and its impact on downstream analyses. Global Change Biology. 24(1), 322–337. DOI: https://doi.org/10.1111/gcb.13904
[45] Ren, H., Zhao, Y., He, T., 2025. Remote Sensing in Mining-Related Eco-Environmental Monitoring and Assessment. Remote Sensing. 18(1), 103. DOI: https://doi.org/10.3390/rs18010103
[46] Lu, C., Wang, K., 2023. Natural resource conservation outpaces and climate change: Roles of reforestation, mineral extraction, and natural resources depletion. Resources Policy. 86, 104159. DOI: https://doi.org/10.1016/j.resourpol.2023.104159
[47] Tang, N., 2025. Barriers, Opportunities, and Pathways for Climate Adaptation in China Toward Carbon Neutrality: Sustainable Mining Practices and Land Management. Land Degradation & Development. 36(18), 6564–6581. DOI: https://doi.org/10.1002/ldr.70091
[48] Guo, H., Yu, Q., Pei, Y., et al., 2021. Optimization of landscape spatial structure aiming at achieving carbon neutrality in desert and mining areas. Journal of Cleaner Production. 322, 129156. DOI: https://doi.org/10.1016/j.jclepro.2021.129156
[49] Simpson, G.B., Ferguson, K., Slingerland, N., et al., 2025. Integrating the sustainable development goals into post-mining land use selection. Scientific Reports. 15(1), 31974. DOI: https://doi.org/10.1038/s41598-025-15980-z
[50] Zhou, D., Xu, J., Lin, Z., 2017. Conflict or coordination? Assessing land use multi-functionalization using production-living-ecology analysis. Science of The Total Environment. 577, 136–147. DOI: https://doi.org/10.1016/j.scitotenv.2016.10.143
[51] Li, X., Lu, Z., 2025. Exploring the Balance Between Ecosystem Services and Economic Benefits via Multi-Objective Land Use Optimization. Land. 14(5), 920. DOI: https://doi.org/10.3390/land14050920
[52] Liu, Y., Guo, H., Zhang, Z., et al., 2007. An Optimization Method Based on Scenario Analysis for Watershed Management Under Uncertainty. Environmental Management. 39(5), 678–690. DOI: https://doi.org/10.1007/s00267-006-0029-9
[53] Fan, Y., Wang, L., Song, Y., 2025. Ecological Effect Assessment and Reclamation Pattern of Surface Mining: Based on the Perspective of Ecosystem Services. International Journal of Environmental Research. 19(5), 198. DOI: https://doi.org/10.1007/s41742-025-00854-z
[54] Zhang, Y., Zhao, D., Hou, H., et al., 2022. Change in Landscape Multifunctionality and Its Trade-off–Synergy Relationship in Mined Land. Land. 11(11), 1948. DOI: https://doi.org/10.3390/land11111948
[55] Renaud, F.G., Zhou, X., Bosher, L., et al., 2022. Synergies and trade-offs between sustainable development goals and targets: innovative approaches and new perspectives. Sustainability Science. 17(4), 1317–1322. DOI: https://doi.org/10.1007/s11625-022-01209-9
[56] Dong, J., Guo, Z., Zhao, Y., et al., 2023. Coupling coordination analysis of industrial mining land, landscape pattern and carbon storage in a mining city: A case study of Ordos, China. Geomatics, Natural Hazards and Risk. 14(1), 2275539. DOI: https://doi.org/10.1080/19475705.2023.2275539
[57] Zhang, J., Fu, M., Hassani, F.P., et al., 2011. Land Use-Based Landscape Planning and Restoration in Mine Closure Areas. Environmental Management. 47(5), 739–750. DOI: https://doi.org/10.1007/s00267-011-9638-z
[58] Guo, W., Teng, Y., Yan, Y., et al., 2022. Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China. Sustainability. 14(20), 13436. DOI: https://doi.org/10.3390/su142013436
[59] Chen, G., Peng, Q., Fan, Q., et al., 2024. Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated Valuation of Ecosystem Services and Tradeoffs-Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain’s Rim as an Example. Land. 14(1), 14. DOI: https://doi.org/10.3390/land14010014
[60] Tan, L., Zhang, Z., Luo, W., et al., 2026. Terrestrial ecosystem carbon storage responses to land cover evolution under future multi-scenario in ecological function zone for soil and water conservation of the Three Gorges Reservoir, China. Geocarto International. 41(1), 2621457. DOI: https://doi.org/10.1080/10106049.2026.2621457
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Jing, W. (2026). Environmental Stress and Carbon Storage Optimization in Mining-Driven Land Use in Northern Shaanxi. Journal of Environmental & Earth Sciences, 8(6), 163–177. https://doi.org/10.30564/jees.v8i6.13246
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