Abstract
Wetlands are fragile ecosystems that are sensitive to human activities. In mining cities with high groundwater tables, underground mining, urbanization, and land reclamation cause severe disturbance to wetland landscape patterns, which poses a serious threat to the integrity and sustainability of the regional wetland ecosystems. This paper extracted the dynamic patterns of wetlands in Huaibei, China, from the Landsat TM/ETM remote sensing images with a time duration of 30 years from 1991 to 2021. The land-use transfer matrix and the landscape metrics were used to analyze the dynamic evolution of the wetland landscape patterns in this typical mining city. Afterwards, the human disturbance changes in the wetlands during the past 30 years were analyzed by the human disturbance transformation index (HTI). The correlation between the HTI and the changes in the landscape metrics were analyzed to reflect the influences of different human disturbance mechanisms on the evolution of the wetland landscape patterns. The results indicated that the wetland areas gradually increased with rising human disturbance levels from 1991 to 2021. However, the wetland landscape patterns showed a trend of declining landscape connectivity and fragmentation. The human disturbance levels to the wetlands were found significantly increased from 1991 to 2005 and from 2010 to 2015, and declined from 2005 to 2010 and from 2015 to 2021. The correlation between the HTI and landscape metrics indicates that current ecological restoration planning has limitations in improving the wetland landscape patterns. In the future, it is necessary to formulate systematic wetland landscape patterns restoration planning that covers the overall area according to the evolutionary trend of wetlands.
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The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request. All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors and are aware that with minor exceptions, no changes can be made to authorship once the paper is submitted.
References
Cui, L., Li, G., Chen, Y., & Li, L. (2021). Response of landscape evolution to human disturbances in the coastal wetlands in northern Jiangsu Province, China. Remote Sensing, 13(11), 2030. https://doi.org/10.3390/rs13112030
De Pablo, C. L., Peñalver-Alcázar, M., & De Agar, P. M. (2020). Change in landscape and ecosystems services as the basis of monitoring natural protected areas: A case study in the Picos de Europa National Park (Spain). Environmental Monitoring and Assessment, 192(4), 1–22. https://doi.org/10.1007/s10661-020-8132-6
Dolný, A., & Harabiš, F. (2012). Underground mining can contribute to freshwater biodiversity conservation: Allogenic succession forms suitable habitats for dragonflies. Biological Conservation, 145(1), 109–117. https://doi.org/10.1016/j.biocon.2011.10.020
Dong, S., Samsonov, S., Yin, H., Yao, S., & Xu, C. (2015). Spatio-temporal analysis of ground subsidence due to underground coal mining in Huainan coalfield. China. Environmental Earth Sciences, 73(9), 5523–5534. https://doi.org/10.1007/s12665-014-3806-4
Donnelly, J. P., Naugle, D. E., Collins, D. P., Dugger, B. D., Allred, B. W., Tack, J. D., & Dreitz, V. J. (2019). Synchronizing conservation to seasonal wetland hydrology and waterbird migration in semi-arid landscapes. Ecosphere, 10(6), 27–58. https://doi.org/10.1002/ecs2.2758
Elliott, L. H., Igl, L. D., & Johnson, D. H. (2020). The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA. The Condor, 122(1). https://doi.org/10.1093/condor/duz060
Epting, S. M., Hosen, J. D., Alexander, L. C., Lang, M. W., Armstrong, A. W., & Palmer, M. A. (2018). Landscape metrics as predictors of hydrologic connectivity between coastal plain forested wetlands and streams. Hydrological Processes, 32(4), 516–532. https://doi.org/10.1002/hyp.11433
Festus, O., Ji, W., & Zubair, O. (2020). Characterizing the landscape structure of urban wetlands using terrain and landscape indices. Land, 9(1), 29. https://doi.org/10.3390/land9010029
Gaglio, M., Aschonitis, V. G., Gissi, E., Castaldelli, G., & Fano, E. A. (2017). Land use change effects on ecosystem services of river deltas and coastal wetlands: Case study in Volano–Mesola–Goro in Po River delta (Italy). Wetlands Ecology and Management, 25(1), 67–86. https://doi.org/10.1007/s11273-016-9503-1
Gong, J., Yang, J. X., & Tang, W. W. (2015). Spatially explicit landscape-level ecological risks induced by land use and land cover change in a national ecologically representative region in China. International Journal of Environmental Research and Public Health., 12, 14192–14215. https://doi.org/10.3390/ijerph121114192
Hart, T. M., & Davis, S. E. (2011). Wetland development in a previously mined landscape of East Texas, USA. Wetlands Ecology and Management, 19(4), 317–329. https://doi.org/10.1007/s11273-011-9218-2
Howladar, M. F. (2013). Coal mining impacts on water environs around the Barapukuria coal mining area, Dinajpur. Bangladesh. Environmental Earth Sciences, 70(1), 215–226. https://doi.org/10.1007/s12665-012-2117-x
Hu, T., Chang, J., Liu, X., & Feng, S. (2018). Integrated methods for determining restoration priorities of coal mining subsidence areas based on green infrastructure: A case study in the Xuzhou urban area, of China. Ecological Indicators, 94, 164–174. https://doi.org/10.1016/j.ecolind.2017.11.006
Imbrenda, V., Coluzzi, R., Lanfredi, M., Loperte, A., Satriani, A., & Simoniello, T. (2018). Analysis of landscape evolution in a vulnerable coastal area under natural and human pressure. Geomatics, Natural Hazards and Risk, 9(1), 1249–1279. https://doi.org/10.1080/19475705.2018.1508076
Jiang, P., Cheng, L., Li, M., Zhao, R., & Huang, Q. (2014). Analysis of landscape fragmentation processes and driving forces in wetlands in arid areas: A case study of the middle reaches of the Heihe River. China. Ecological Indictors., 46, 240–252. https://doi.org/10.1016/j.ecolind.2014.06.026
Li, B., Shi, X., Wang, H., & Qin, M. (2020). Analysis of the relationship between urban landscape patterns and thermal environment: A case study of Zhengzhou City. China. Environmental Monitoring and Assessment, 192(8), 1–13.
Li, X. J., & Zhou, J. J. (2020). Research on surface subsidence information extraction method based on high phreatic coal mining area. Coal Science and Technology, 48, 105–112. https://doi.org/10.13199/j.cnki.cst.2020.04.010
Liu H., Zhu X.J., Cheng H. (2021). Key technology of human environment and ecological reconstruction in high submersible level mining subsidence area: A case study from Lv** Lake, Huaibei. Journal of China Coal Society, 46, 4021–4032. https://doi.org/10.13225/j.cnki.jccs.2021.1499
Londe, D. W., Dvorett, D., Davis, C. A., Loss, S. R., & Robertson, E. P. (2022). Inundation of depressional wetlands declines under a changing climate. Climatic Change, 172, 3–19. https://doi.org/10.1007/s10584-022-03386-z
Mao, D., Wang, Z., Wu, J., Wu, B., Zeng, Y., Song, K., Yi, K., & Luo, L. (2018). China’s wetlands loss to urban expansion. Land Degradation & Development, 29(8), 2644–2657.
Marschalko, M., Yilmaz, I., Lamich, D., Drusa, M., Kubečková, D., Peňaz, T., Burkotová, T., Slivka, V., Bednárik, M., & Krčmář, D. (2014). Unique documentation, analysis of origin and development of an undrained depression in a subsidence basin caused by underground coal mining (Kozinec, Czech Republic). Environmental Earth Sciences, 72(1), 11–20. https://doi.org/10.1007/s12665-013-2930-x
Mason, T. J., Krogh, M., Popovic, G. C., Glamore, W., & Keith, D. A. (2021). Persistent effects of underground longwall coal mining on freshwater wetland hydrology. Science of the Total Environment, 772, 1–8. https://doi.org/10.1016/j.scitotenv.2020.144772
Middleton, B. A. (2017). Climate and land-use change in wetlands: A dedication. Ecosystem Health and Sustainability, 3(9), 1–13. https://doi.org/10.1080/20964129.2017.1392831
Mondal, B., Dolui, G., Pramanik, M., Maity, S., Biswas, S. S., & Pal, R. (2017). Urban expansion and wetland shrinkage estimation using a GIS-based model in the East Kolkata Wetland. India. Ecological Indictors., 83, 62–73. https://doi.org/10.1016/j.ecolind.2017.07.037
Neill, R. V., Hunsaker, C. T., Timmins, S. P., Jackson, B. L., Jones, K. B., Riitters, K. H., & Wickham, J. D. (1996). Scale problems in reporting landscape pattern at the regional scale. Landscape Ecology, 11(3), 169–180.
Orimoloye, I. R., Mazinyo, S. P., Kalumba, A. M., Nel, W., Adigun, A. I., & Ololade, O. O. (2019). Wetland shift monitoring using remote sensing and GIS techniques: Landscape dynamics and its implications on Isimangaliso Wetland Park. South Africa. Earth Science Informatics, 12(4), 553–563. https://doi.org/10.1007/s12145-019-00400-4
Qin, P., & Zhang, Z. (2021). Evolution of wetland landscape disturbance in Jiaozhou Gulf between 1973 and 2018 based on remote sensing. European Journal of Remote Sensing, 54(2), 145–154. https://doi.org/10.1080/22797254.2020.1758963
Sun, Q. Y., Lu, C. H., Li, H., Liu, B. J., Lu, C. Y., & Li, C. (2015). Forecasting and analysis of change for river systems and watersheds in mining subsidence areas. Water Resources and Power, 33, 26–33.
Taddeo, S., & Dronova, I. (2020). Landscape metrics of post-restoration vegetation dynamics in wetland ecosystems. Landscape Ecology, 35(2), 275–292. https://doi.org/10.1007/s10980-019-00946-0
Thompson, D. K., Simpson, B. N., Whitman, E., Barber, Q. E., & Parisien, M. A. (2019). Peatland hydrological dynamics as a driver of landscape connectivity and fire activity in the boreal plain of Canada. Forests, 10, 1–21. https://doi.org/10.3390/f10070534
Walz, U., & Stein, C. (2014). Indicators of hemeroby for the monitoring of landscapes in Germany. Journal for Nature Conservation, 22(3), 279–289. https://doi.org/10.1016/j.jnc.2014.01.007
Worlanyo, A. S., & Jiangfeng, L. (2021). Evaluating the environmental and economic impact of mining for post-mined land restoration and land-use: A review. Journal of Environmental Management, 279, 1–16. https://doi.org/10.1016/j.jenvman.2020.111623
Wu, J., Zhu, Q., Qiao, N., Wang, Z., Sha, W., Luo, K., Wang, H., & Feng, Z. (2021a). Ecological risk assessment of coal mine area based on “source-sink” landscape theory – A case study of **shuo mining area. Journal of Cleaner Production, 295, 1–18. https://doi.org/10.1016/j.jclepro.2021.126371
Wu, M., Li, C., Du, J., He, P., Zhong, S., Wu, P., Lu, H., & Fang, S. (2019). Quantifying the dynamics and driving forces of the coastal wetland landscape of the Yangtze River Estuary since the 1960s. Regional Studies in Marine Science, 32, 100854. https://doi.org/10.1016/j.rsma.2019.100854
Wu, T., Zha, P., Yu, M., Jiang, G., Zhang, J., You, Q., & **e, X. (2021b). Landscape pattern evolution and its response to human disturbance in a newly metropolitan area: A case study in **-Yi metropolitan area. Land, 10(8), 767. https://doi.org/10.3390/land10080767
**ao, W., Fu, Y., Wang, T., & Lv, X. (2018). Effects of land use transitions due to underground coal mining on ecosystem services in high groundwater table areas: A case study in the Yanzhou coalfield. Land Use Policy, 71, 213–221. https://doi.org/10.1016/j.landusepol.2017.11.059
**ao, W., Chen, W. Q., He, T. T., Zhao, Y. L., & Hu, Z. Q. (2022). Remote sensing monitoring and impact assessment of mining disturbance in mining area with high underground water level. Journal of China Coal Society, 43, 1–10. https://doi.org/10.13225/j.cnki.jccs.xr21.1872
Yan, N., Liu, G., Xu, L., Deng, X., & Casazza, M. (2022). Emergy-based eco-credit accounting method for wetland mitigation banking. Water Research, 210, 18–28.
Yan, X., & Niu, Z. G. (2019). Preliminary study on wetland connectivity in Baiyangdian basin. Acta Ecologica Sinica, 39, 9200–9210. https://doi.org/10.5846/stxb20180932127
Yang, M., Gong, J., Zhao, Y., Wang, H., Zhao, C., Yang, Q., Yin, Y., Wang, Y., & Tian, B. (2021). Landscape pattern evolution processes of wetlands and their driving factors in the **ong’an new area of China. International Journal of Environmental Research and Public Health, 18(9), 4403. https://doi.org/10.3390/ijerph18094403
Zhang, M., Yuan, X., Guan, D., Liu, H., Sun, K., Zhang, G., Wang, K., Zhou, L., Wang, F., & Sun, J. (2020). An ecological scenario prediction model for newly created wetlands caused by coal mine subsidence in the Yanzhou, China. Environmental Geochemistry and Health, 42(7), 1991–2005. https://doi.org/10.1007/s10653-019-00460-x
Zheng, X. J., Sun, P., Zhu, W. H., Xu, Z., Fu, J., Man, W. D., Li, H. L., Zhang, J., & Qin, L. (2017). Landscape dynamics and driving forces of wetlands in the Tumen River Basin of China over the past 50 years. Landscape and Ecological Engineering, 13(2), 237–250. https://doi.org/10.1007/s11355-016-0304-8
Zheng, Y., Liu, H., Zhuo, Y., Li, Z., Liang, C., & Wang, L. (2019). Dynamic changes and driving factors of wetlands in Inner Mongolia Plateau, China. PLoS ONE, 14, 1–17. https://doi.org/10.1371/journal.pone.0221177
Zhou, S., Chang, J., Hu, T., Luo, P., & Zhou, H. (2020). Spatiotemporal variations of land use and landscape ecological risk in a resource-based city, from rapid development to recession. Polish Journal of Environmental Studies, 29(1), 475–490. https://doi.org/10.15244/pjoes/102778
Zhu, X., Ning, Z., Cheng, H., Zhang, P., Sun, R., Yang, X., & Liu, H. (2022). A novel calculation method of subsidence waterlogging spatial information based on remote sensing techniques and surface subsidence prediction. Journal of Cleaner Production, 335, 1–16. https://doi.org/10.1016/j.jclepro.2022.130366
Funding
This research was funded by the National Natural Science Foundation of China, grant number 52208091; the Xuzhou Science and Technology Planning Project, grant number KC21145; and Humanities and Social Sciences planning fund of the Ministry of Education of China, grant number 18YJAZH062.
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Shiyuan Zhou contributed to the research conception and wrote the major manuscript. Jiang Chang and **jia Luo revised the core structure and the main findings. Yuan Kang contributed in data collection and interpretation. Sha Li proofed the research data and the English wording. All authors reviewed the manuscript.
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Zhou, S., Chang, J., Luo, P. et al. Landscape dynamics and human disturbance processes in wetlands in a mining city: a case study in Huaibei, China. Environ Monit Assess 195, 192 (2023). https://doi.org/10.1007/s10661-022-10795-1
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DOI: https://doi.org/10.1007/s10661-022-10795-1