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Vegetation dynamics of coal mining city in an arid desert region of Northwest China from 2000 to 2019

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Abstract

Coal mining has led to serious ecological damages in arid desert region of Northwest China. However, effects of climatic factor and mining activity on vegetation dynamics and plant diversity in this region remain unknown. Wuhai City located in the arid desert region of Northwest China is an industrial city and dominated by coal mining. Based on Landsat data and field investigation in Wuhai City, we analyzed the vegetation dynamics and the relationships with climate factors, coal mining activity and ecological restoration projects from 2000 to 2019. Results showed that vegetation in Wuhai City mostly consisted of desert plants, such as Caragana microphylla, Tetraena mongolica and Achnatherum splendens. And the vegetation fractional coverage (VFC) and greenness rate of change (GRC) showed that vegetation was slightly improved during the study period. Normalized difference vegetation index (NDVI) was positively correlated with annual mean precipitation, relative humidity and annual mean temperature, indicating that these climate factors might play important roles in the improved vegetation. Vegetation coverage and plant diversity around the coal mining area were reduced by coal mining, while the implementation of ecological restoration projects improved the vegetation coverage and plant diversity. Our results suggested that vegetation in the arid desert region was mainly affected by climate factors, and the implementation of ecological restoration projects could mitigate the impacts of coal mining on vegetation and ecological environment.

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References

  • Abdourhamane T A, Tidjani A D, Rajot J L, et al. 2019. Dynamics of wind erosion and impact of vegetation cover and land use in the Sahel: A case study on sandy dunes in southeastern Niger. CATENA, 177: 272–285.

    Article  Google Scholar 

  • Basarin B, Lukić T, Pavić D, et al. 2016. Trends and multi-annual variability of water temperatures in the river Danube, Serbia. Hydrological Processes, 30(18): 3315–3329.

    Article  Google Scholar 

  • Brown J, Howard D, Wylie B, et al. 2015. Application-ready expedited MODIS data for operational land surface monitoring of vegetation condition. Remote Sensing, 7(12): 16226–16240.

    Article  Google Scholar 

  • Cao M, Woodward F I. 1998. Dynamic responses of terrestrial ecosystem carbon cycling to global climate change. Nature, 393(6682): 249–252.

    Article  Google Scholar 

  • Chen C, Park T, Wang X, et al. 2019. China and India lead in greening of the world through land-use management. Nature Sustainability, 2: 122–129.

    Article  Google Scholar 

  • Chu H S, Venevsky S, Wu C, et al. 2019. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015. Science of the Total Environment, 650: 2051–2062.

    Article  Google Scholar 

  • Dardel C, Kergoat L, Hiernaux P, et al. 2014. Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger). Remote Sensing of Environment, 140: 350–364.

    Article  Google Scholar 

  • Dong G G, Zhong K B, Tie L S, et al. 2011. Impacts of coal mining on the aboveground vegetation and soil quality: a case study of Qinxin coal mine in Shanxi Province, China. Clean-Soil, Air, Water, 39(3): 219–225.

    Article  Google Scholar 

  • Duan H, Yan C, Tsunekawa A, et al. 2011. Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data. Environmental Earth Sciences, 64(4): 1011–1020.

    Article  Google Scholar 

  • Feng Y, Wang J M, Bai Z K, et al. 2019. Effects of surface coal mining and land reclamation on soil properties: A review. Earth-Science Reviews, 191: 12–25.

    Article  Google Scholar 

  • Gebrehiwot K, Demissew S, Woldu Z, et al. 2019. Elevational changes in vascular plants richness, diversity, and distribution pattern in Abune Yosef mountain range, Northern Ethiopia. Plant Diversity, 41(4): 220–228.

    Article  Google Scholar 

  • González-Hernández M P, Mouronte V, Romero R, et al. 2020. Plant diversity and botanical composition in an Atlantic heather-gorse dominated understory after horse grazing suspension: Comparison of a continuous and rotational management. Global Ecology and Conservation, 23: e01134.

    Article  Google Scholar 

  • Hicke J A, Asner G P, Randerson J T, et al. 2002. Trends in North American net primary productivity derived from satellite observations, 1982–1998. Global Biogeochemical Cycles, 16(2): 1018.

    Article  Google Scholar 

  • Huang F, Xu S L. 2016. Spatio-temporal variations of rain-use efficiency in the west of Songliao Plain, China. Sustainability, 8(4): 308.

    Article  Google Scholar 

  • Karan S K, Samadder S R, Maiti S K. 2016. Assessment of the capability of remote sensing and GIS techniques for monitoring reclamation success in coal mine degraded lands. Journal of Environmental Management, 182: 272–283.

    Article  Google Scholar 

  • Li S J, Sun Z G, Tan M H, et al. 2016. Effects of rural-urban migration on vegetation greenness in fragile areas: A case study of Inner Mongolia in China. Journal of Geographical Sciences, 26: 313–324.

    Article  Google Scholar 

  • Lin Y, Xin X P, Zhang H B, et al. 2015. The implications of serial correlation and time-lag effects for the impact study of climate change on vegetation dynamics-a case study with Hulunber meadow steppe, Inner Mongolia. International Journal of Remote Sensing, 36(19–20): 5031–5044.

    Article  Google Scholar 

  • Liu S L, Li W P, Qiao W, et al. 2019. Effect of natural conditions and mining activities on vegetation variations in arid and semiarid mining regions. Ecological Indicators, 103: 331–345.

    Article  Google Scholar 

  • Liu Z J, Wang J Y, Wang X Y, et al. 2020. Understanding the impacts of ‘Grain for Green’ land management practice on land greening dynamics over the Loess Plateau of China. Land Use Policy, 99: 105084.

    Article  Google Scholar 

  • Mantero P, Moser G, Serpico S B. 2005. Partially supervised classification of remote sensing images through SVM-based probability density estimation. IEEE Transactions on Geoscience and Remote Sensing, 43(3): 559–570.

    Article  Google Scholar 

  • Pettorelli N, Vik J, Mysterud A, et al. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20(9): 503–510.

    Article  Google Scholar 

  • Piao S L, Fang J Y. 2001. Dynamic vegetation cover change over the last 18 years in China. Quaternary sciences, 21(4): 294–302.

    Google Scholar 

  • Ruan M Y, Zhang Y X, Chai T Y. 2020. Rhizosphere soil microbial properties on Tetraena mongolica in the arid and semi-arid regions, China. International Journal of Environmental Research and Public Health, 17(14): 5142.

    Article  Google Scholar 

  • Sellers P, Meeson B, Hall F, et al. 1995. Remote sensing of the land surface for studies of global change: Models-algorithms-experiments. Remote Sensing of Environment, 51(1): 3–26.

    Article  Google Scholar 

  • Shi Y, Jin N, Ma X L, et al. 2020. Attribution of climate and human activities to vegetation change in China using machine learning techniques. Agricultural and Forest Meteorology, 294: 108146.

    Article  Google Scholar 

  • Tian H J, Cao C X, Chen W, et al. 2015. Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012. Ecological Engineering, 82: 276–289.

    Article  Google Scholar 

  • Tong S Q, Zhang J Q, Ha S, et al. 2016. Dynamics of fractional vegetation coverage and its relationship with climate and human activities in Inner Mongolia, China. Remote Sensing, 8(9): 776.

    Article  Google Scholar 

  • Wang S F, Cao Y G, Pietrzykowski M, et al. 2020 Spatial distribution of soil bulk density and its relationship with slope and vegetation allocation model in rehabilitation of dumping site in loess open-pit mine area. Environmental Monitoring and Assessment, 192: 740.

    Article  Google Scholar 

  • Wang W F, Hao W D, Bian Z F, et al. 2014. Effect of coal mining activities on the environment of Tetraena mongolica in Wuhai, Inner Mongolia, China-A geochemical perspective. International Journal of Coal Geology, 132: 94–102.

    Article  Google Scholar 

  • Wu G L, Du G Z, Liu Z H, et al. 2009. Effect of fencing and grazing on a Kobresia-dominated meadow in the Qinghai-Tibetan Plateau. Plant and Soil, 319(1): 115–126.

    Article  Google Scholar 

  • Xu Z W, Hu R, Wang K X, et al. 2018. Recent greening (1981–2013) in the Mu Us dune field, northcentral China, and its potential causes. Land Degradation & Development, 29(5): 1509–1520.

    Article  Google Scholar 

  • Zhang D J, Jia Q Q, Xu X, et al. 2018. Contribution of ecological policies to vegetation restoration: A case study from Wuqi County in Shaanxi Province, China. Land Use Policy, 73: 400–411.

    Article  Google Scholar 

  • Zhang X Z, Dai J H, Ge Q S. 2013. Variation in vegetation greenness in spring across eastern China during 1982–2006. Journal of Geographical Sciences, 23: 45–46.

    Article  Google Scholar 

  • Zhen J H. 2012. Change of landscape pattern and its impact in the distribution region of Tetraena mongolica Maxim. Applied Mechanics and Materials, 229–231: 2694–2697.

    Article  Google Scholar 

  • Zhu J, Wang X, Zhang L X, et al. 2015. System dynamics modeling of the influence of the TN/TP concentrations in socioeconomic water on NDVI in shallow lakes. Ecological Engineering, 76(5210): 27–35.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (2017YFC0504400) and the Fundamental Research Funds for the Central Universities (2020YJSHH06). Thanks to Prof. LI Zhaoliang and Dr. GAO Maofang of Chinese Academy of Agricultural Sciences for their generous assistance in data collection. Thanks to Prof. JIANG Xiaoguang of University of Chinese Academy of Science for careful editing the manuscript and suggestions. Thanks to Prof. YANG Keming of China University of Mining and Technology (Beijing) for the guidance in the methodology of remote sensing.

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Correspondence to Yuxiu Zhang.

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Zhou, S., Duan, Y., Zhang, Y. et al. Vegetation dynamics of coal mining city in an arid desert region of Northwest China from 2000 to 2019. J. Arid Land 13, 534–547 (2021). https://doi.org/10.1007/s40333-021-0007-3

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  • DOI: https://doi.org/10.1007/s40333-021-0007-3

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