Analysis of ecological security pattern of rare earth mining areas in South China based on MCR model

Hengkai Li, Yuting Liu, Qin Li, Xiuli Wang

Article ID: 1304
Vol 3, Issue 1, 2020

VIEWS - 488 (Abstract) 193 (PDF)

Abstract


The rare earth mining area in South China is the main production base of ionic rare earth in the world, which has brought inestimable economic value to the local area and even the whole nation. However, due to the lack of mining technology and excessive pursuit for economic profits, a series of environmental problems have arisen, which is a great threat to the ecosystem of the mining area. Taking Lingbei rare earth mining area in Ganzhou as an example, this paper discriminated and analyzed such aspects as the ecological source, ecological corridor and ecological nodes of the mining area based on the landscape ecological security pattern theory and the minimum cumulative resistance model (MCR) method, and constructed a landscape ecological security pattern of the mining area during the 2009, 2013 and 2018. The results show that: i) The patch area of the ecological source of rare earth mining area is small, mainly concentrated in the east and west sides of the mining area. ii) During the selected year, the ecological source area, ecological corridors, radiation channels and the number of ecological nodes in the rare earth mining area are increasing, indicating that the landscape ecological security of the rare earth mining area has been improved to some extent, but it remains necessary for relevant departments to make a optimized planning to further reconstruct the ecological security pattern of the rare earth mining area.


Keywords


Rare Earth Mining Area; MCR Model; Ecological Source; Ecological Corridor; Ecological Security Pattern

Full Text:

PDF


References


1. Zhang X, Yu W, Cai H. Summary of research on regional ecological environment vulnerability assessment methods. Acta Ecologica Sinica 2018; 38(16): 5970–5981.

2. Liu J, Zhang K, Ma W. Study on ecological security evaluation of mining area based on high-resolution satellite remote sensing image: Taking Jingjing mining area as an example. Geography and Geography Information 2015; 31(5): 121–126.

3. Li H, Lei J, Yang L. Vegetation coverage extraction and landscape pattern analysis of ionic rare earth ore based on Landsat imagery. Transactions of the Chinese Society of Agricultural Engineering 2016; 32(10): 267–276.

4. Wang C, Liu Y, Zhao L, et al. Present situation and development trend of rare earth materials and green preparation technology in China. Progress in Chinese Materials, 2018, 37(11): 1–5.

5. Li H, Lei J, Wu J. Analysis of land damage and recovery process in rare earth mining area based on multi-source time series NDVI. Transactions of the Chinese Society of Agricultural Engineering 2018; 34(1): 232–240.

6. Li H, Wu L, Liu X. Multi-temporal remote sensing monitoring of surface environment changes in rare earth mining areas: Taking Lingbei rare earth mining area as an example. Journal of China University of Mining and Technol-ogy 2014; 43(6): 1087–1094.

7. Horvath B, Gruiz K. Impact of metalliferous ore mining activity on the environment in Gyongyosoroszi, Hungary. Science of the Total Environment 1996; 184(3): 215–227.

8. Schroeter L, Gläβer C. Analyses and monitoring of lignite mining lakes in Eastern Germany with spectral signa-tures of Landsat TM satellite data. International Journal of Coal Geology 2011; 86(1): 27–39.

9. Monjezi M, Shahriar K, Dehghani H, et al. Environmental impact assessment of open pit mining in Iran. Environmental Geology 2009; 58(1): 205–216.

10. Liu X, Bao Y, Hu Z, et al. Ecological safety evaluation of land reclamation in mining area after closure. Transactions of the Chinese Society of Agricultural Engineering 2007; 23(8): 102–106.

11. Fan X, Han Y. Ecological safety assessment of Ningdong Mining Area. China Soil and Water Conservation 2011; 11: 56–59.

12. Yang J, Zhang Y, Zhou Y, et al. Research on ecological security evaluation of Xinjiang Zhundong Open-pit Coal Mine. China Mining Industry 2015; 24(10): 76–82.

13. Pan J, Liu X. Ecological safety assessment and pattern optimization of inland river landscape based on spatial principal component and minimum cumulative resistance model: Taking Ganzhou District of Zhangye City as an example. Chinese Journal of Applied Ecology 2015; 26(10): 3126–3136.

14. Zhang J, Qiao Q, Liu C, et al. Study on the planning of ecological land use in Beijing based on the model of minimum cumulative drag. Acta Ecologica Sinica 2017; 37(19): 6313–6321.

15. Meng J, Wang Y, Wang X, et al. Construction of landscape ecological security pattern in Guiyang City based on minimum cumulative resistance model. Resources and Environment in the Yangtze Basin 2016; 25(7): 1052–1061.

16. Tan H, Zhao Y, Sun Z, et al. Micro-scale ecological safety assessment and optimization system for abandoned site restoration. China Environmental Science 2016; 36(7): 2169–2177.

17. Li H, Yang L, Lei J. Comparison of Landsat-8 thermal infrared data for retrieving surface temperature of rare earth mines. Journal of the Chinese Rare Earth Society 2017; 35(5): 657–666.

18. Wang S, Song Q. Risk assessment of debris flow in Jiangxi Dingnan rare earth mining area supported by spatial information. Remote Sensing Information 2012; (1): 59–63.

19. Greenberg JA, Rueda C, Hestir EL, et al. Least cost distance analysis for spatial interpolation. Computers and Geosciences 2011; 37: 272–276.

20. Du Y, Hu Y, Yang Y, et al. Building ecological security patterns in southwestern mountainous areas based on ecological importance and ecological sensitivity: A case study of Dali Bai Autonomous Prefecture, Yunan Province. Acta Ecologica Sinica 2017; 37(24): 8241–8253.

21. Li Q, Zhang Z, Wan L, et al. Landscape pattern optimization of the Ningjiang River Basin based on landscape ecological risk assessment. Acta Geographica Sinica 2019; 74(7): 1420–1437.

22. Wu J, Zhang L, Peng J, et al. Comprehensive identification of landscape ecological security patterns in Shenzhen. Acta Ecologica Sinica 2013; 33(13): 4125–4133.

23. Wei C, Zhang J, Cheng M, et al. Study on landscape safety pattern of Wu’an City based on Minimum Resistance Model. Resource Development and Market 2017; 33(12): 1417–1421, 1408.

24. Huang C, Yin X, Huang G, et al. The construction of ecological security pattern in Tong’an District of Xiamen City. Tropical Geography 2018; 38(6): 874–883.

25. Wang X, Yang L, Li H. Ecological safety evaluation of rare earth mining area based on PSRAHP Model. Journal of the Chinese Rare Earth Society 2018; 36(4): 504–512.

26. Pan J, Su Y, Huang Y, et al. Land use and landscape pattern change and its driving force in Yumen City in the past 30 years. Geographical Research 2012; 31(9): 1631–1639.

27. Huang Z, Fu B, Chen L. Differentiation of soil and water loss in different slopes, land use types and precipitation changes in Loess Hilly Region. China Soil and Water Conservation Science 2005; 4: 11–18, 26.

28. Li Y. County ecological land use identification and safety pattern construction based on MCR model. Chongqing: Southwest University; 2017.

29. Meng J, Wang X, Zhou Z. Comprehensive optimization of landscape pattern in arid regions: a case of the middle reaches of Heihe River. Journal of Peking University (Natural Science Edition) 2017; 53(3): 451–461.

30. Zhao Y, Tan W, Yi Q, et al. Construction of ecological security pattern in typical plateau lake basin: Taking the Penghu Basin as an example. China Environmental Science 2019; 39(2): 768–777.

31. Li H, Yi N, Yao W, et al. Ecological land use planning in Shangri-La County based on landscape safety pattern. Acta Ecologica Sinica 2011; 31(20): 5928–5936.

32. Liu J, Lü X, Yang Q, et al. Wetland Ecological Security Pattern Design in the Northeast of Sanjiang Plain. Acta Ecologica Sinica 2009; 29(3): 1083–1090.

33. Yu K. Sur face ecology strategic point identification method and surface model of theoretical geography. Acta Geographica Sinica 1998; 65(S1): 11–18.

34. Wu W, Lu P. Identification of key locations of land ecosystem: A case study of Huimin County in the Yellow River Delta. Hebei Agricultural Sciences 2011; 15(4): 68–72.




DOI: https://doi.org/10.24294/jgc.v3i1.1304

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution 4.0 International License.