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Impact of open pit coal mining on the forest landscape ecology using spatial metrics: a study of Barabani C.D. block, West Bengal

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Abstract

Mining is an extractive activity that creates pits, scars and waste dump especially when operated on open cast basis that not only degrades the landscape structure but also have significant impact over its functioning. There is a general consensus about the role of forest as an important entity of landscape structure in maintaining the ecological balance which is under immense pressure by the various anthropogenic activities like growth of built up area by means of urban industrial growth and expansion of mining area. This study has been conducted with an objective to assess the ecological health of the forest landscape and to analyse the land use land cover change in Barabini C.D. block of West Bengal, Eastern India where hectares of forest land has been greatly modified by open pit coal mining. The study has employed two satellite images of 2000 and 2017 to assess the land use land cover and spatial metrics of the study area. Modification of land use land cover to a large extent has been reported during the specified time, for instance, forest cover and agricultural land decreased considerably; built up area and mining area has been increased to a great extent. Landscape matrices of class level and landscape level concerning with the surface, shape, edge character and spatial distribution has been calculated to analyzed the spatio temporal character of the landscape. Increase in the landscape level spatial metrics value indicative of the development of a complex landscape structure with shrinking vegetative cover. The result of class level indices also reported that, the forest land not only fragmented by the formation of open cast pit but also experienced huge spatial loss over the specified time. This phenomenal change of the landscape structure is a matter of serious environmental concern that needs immediate attention for the sustainability of the region.

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References

  1. Bowen G.W., Burgess R.L., (1981). A quantitative analysis of forest island pattern in selected Ohio landscapes. ORNL/TM-7759. Oak Ridge National Laboratory, Oak Ridge, Tennessee.

  2. Burgess, R. L., & Sharpe, D. M. (1981). Forest island dynamics in man-dominated landscapes. New York: Springer.

    Book  Google Scholar 

  3. Forman, R. T. T., & Godron, M. (1981). Patches and structural components for a landscape ecology. BioScience, 31, 733–740.

    Article  Google Scholar 

  4. Forman, R. T. T., & Godron, M. (1986). Landscape ecology. New York: Wiley.

    Google Scholar 

  5. Krümmel, J. R., Gardner, R. H., Sugihara, G., O’Neill, R. V., & Coleman, P. R. (1987). Landscape patterns in a disturbed environment. Oikos, 48, 321–324.

    Article  Google Scholar 

  6. Turner, M. G. (1987). Spatial simulation of landscape changes in Georgia: A comparison of 3 transition models. Landscape Ecology, 1, 29–36.

    Article  Google Scholar 

  7. Turner, M. G. (1990). Spatial and temporal analysis of landscape patterns. Landscape Ecology, 4, 21–30.

    Article  Google Scholar 

  8. Turner, M. G., & Gardner, R. H. (Eds.). (1991). Quantitative techniques in Landscape ecology-the analysis and Interpretation of Landscape Heterogeneity. New York: Springer.

    Google Scholar 

  9. Singh, J. S., Roy, P. S., Murthy, M. S. R., & Jha, C. S. (2010). Application of landscape ecology and remote sensing for assessment, monitoring and conservation of biodiversity. photonirvachak. Journal of the Indian Society of Remote Sensing, 38, 365–385.

    Article  Google Scholar 

  10. Ramachandra, T. V., Bharath, S., & Subash, C. (2016). (2016), Geospatial analysis of forest fragmentation in Uttara Kannada District India. Forest Ecosystems, 3, 10. https://doi.org/10.1186/s40663-016-0069-4.

    Article  Google Scholar 

  11. Rajendran, P., & Mani, K. (2015). Quantifying the dynamics of landscape patterns in Thiruvananthapuram corporation using open source gis tools. International Journal of Research in Engineering and Applied Sciences., 5(10), 77–87.

    Google Scholar 

  12. Cumming, G. S. (2007). Globla biodiversity scenarios and landscape ecology. Landscape Ecology, 22, 671–685.

    Article  Google Scholar 

  13. Li, H., & Wu, J. (2004). Use and misuse of landscape indices. Landscape Ecology, 19, 389–399.

    Article  Google Scholar 

  14. Diaz, S., Fargione, J., Chapin, F., & Tilman, D. (2006). Biodiversity loss threatens human well-being. PLoS Biology, 4(8), 1300–1306.

    Article  Google Scholar 

  15. Ramachandra, T. V., & Kumar, U. (2011). Characterisation of landscape with forest fragmentation dynamics. Journal of Geographic Information System, 3(03), 242.

    Article  Google Scholar 

  16. Fagiewicz K., & Łowicki D., (2019). The dynamics of landscape pattern changes in mining areas: The case study of the Adamów-Koźmin Lignite Basin. Quaestiones Geographicae 38(4), Bogucki Wydawnictwo Naukowe, Poznań, pp. 151–162.

  17. McGarigal, K., Cushman, S.A., & Mc Neel, E. (2002).- FRAGSTATS v3: Spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. http://www.umass.edu/landeco/research/fragstats/fragstats.html.

  18. Pătroescu, M., Toma, S., Sasaki, L., & Apostol, G. (2000). Priorities in the rehabilitation and re-naturation of rural landscape of the Roumanian Plain, southern Romania. Analele Universităţii Bucureşti – Geografie, XLIX.

  19. Walz, U. (2011). Landscape structure, landscape metrics and biodiversity. Living Reviews in Landscape Research, 5, 3. https://doi.org/10.12942/lrlr-2011-3.

    Article  Google Scholar 

  20. McGarigal, K., & Marks, B. (1995). FRAGSTATS: Spatial pattern analysis program for quantifying landscape structure. General Technical Report PNW-GTR-351. USDA Forest Service, Pacific Northwest Research Station, Portland, Oregon, USA.

  21. Bracchetti, L., Carotenuto, L., & Catorci, A. (2012). Land-cover changes in a remote area of central Apennines (Italy) and management directions. Landscape and Urban Planning, 104(2), 157–170.

    Article  Google Scholar 

  22. Cohen, M., Varga, D., Vila, J., & Barrussaud, E. (2011). A multi-scale and multidisciplinary approach to monitor landscape dynamics: A study case in the Catalan pre- Pyrenees (Spain). The Geographical Journal, 177(1), 79–91.

    Article  Google Scholar 

  23. Geri, F., Rocchini, D., & Chiarucci, A. (2010). Landscape metrics and topographical determinants of large-scale forest dynamics in a Mediterranean landscape. Landscape and Urban Planning, 95(1–2), 46–53.

    Article  Google Scholar 

  24. Lasanta, T., Gonzalez-Hidalgo, J. C., Vicente-Serrano, S. M., & Sferi, E. (2006). Using landscape ecology to evaluate an alternative management scenario in abandoned Mediterranean mountain areas. Landscape and Urban Planning, 78(1–2), 101–114.

    Article  Google Scholar 

  25. Pelorosso, R., Della Chiesa, S., Tappeiner, U., Leone, A., & Rocchini, D. (2011). Stability analysis for defining management strategies in abandoned mountain landscapes of the Mediterranean basin. Landscape and Urban Planning, 103(3–4), 335–346.

    Article  Google Scholar 

  26. Cakir, G., Sivrikaya, F., & Keles, S. (2008). Forest cover change and fragmentation using Landsat data in Mac ka State Forest Enterprise in Turkey. Environmental Monitoring and Assessment, 137(1–3), 51–66.

    Article  Google Scholar 

  27. Keleş, S., Sivrikaya, F., Çakir, G., & Köse, S. (2008). Urbanization and forest cover change in regional directorate of Trabzon forestry from 1975 to 2000 using landsat data. Environmental Monitoring and Assessment, 140(1), 1–14.

    Article  Google Scholar 

  28. Pocas, I., Cunha, M., Marcal, A. R., & Pereira, L. S. (2011). An evaluation of changes in a mountainous rural landscape of Northeast Portugal using remotely sensed data. Landscape and Urban Planning, 101(3), 253–26. https://doi.org/10.1016/j.landurbplan.2011.02.030.

    Article  Google Scholar 

  29. Teixido, A. L., Quintanilla, L. G., Carreno, F., & Gutierrez, D. (2010). Impacts of changes in land use and fragmentation patterns on Atlantic coastal forests in northern Spain. Journal of Environmental Management, 91(4), 879–886. https://doi.org/10.1016/j.jenvman.2009.11.004.

    Article  Google Scholar 

  30. Terzioğlu, S., Başkent, E. Z., & Kadıoğulları, A. İ. (2009). Monitoring forest structure at landscape level: A case study of Scots pine forest in NE Turkey. Environmental Monitoring and Assessment, 152(1), 71–81.

    Article  Google Scholar 

  31. Chelaru, D., Oiste, A., & Mihai, F. (2014). Quantifying the changes in landscape configuration using open source GIS. Case study: Bistritasubcarpathian valley. In 14th international multidisciplinary scientific geoconference on ecology, economics, education and legislation SGEM 2014, conference proceedings (Vol. 1, pp. 557–565).

  32. Batar, A. K, Watanabe, T., & Kumar, A. (2017) Assessment of land-use/land-cover change and forest fragmentation in the Garhwal Himalayan region of India Environments, 4, 34; doi:https://doi.org/10.3390/environments4020034.www.mdpi.com/journal/environments.

  33. Dutta, S., & Guchhait, S. K. (2016). Impact of development and urbanization on forest tract: a study of Ajay- Damodar interfluve of Barddhaman District, West Bengal. Environmental Degradation and Disaster: A Vision Plan for Sustainable Development (ed) WB 87–100 .

  34. Chatterjee .S .(2016). Spatio temporal transformation of land and its implication on the economy of Asansol Durgapur planning region. Unpublished PhD thesis submitted to Visva Bharati university.

  35. Rimal, B., Rijal, S., & Kunwar, R. (2020). Comparing support vector machines and maximum likelihood classifiers for mapping of urbanization. Journal of the Indian Society of Remote Sensing, 48(1), 71–79.

    Article  Google Scholar 

  36. Das, M., & Das, A. (2020). Assessing the impact of master plan on the dynamicity and resilience of forest cover change: a study on Adina Deer Park Forest. West Bengal, India: GeoJournal. https://doi.org/10.1007/s10708-020-10213-4.

    Book  Google Scholar 

  37. Griffiths, G. H., Lee, J., & Eversham, B. C. (2000). Landscape pattern and species richness; regional scale analysis from remote sensing. International Journal of Remote Sensing, 21, 2685–2704.

    Article  Google Scholar 

  38. Ritters, K. H., O’Neill, R. V., Hunsaker, C. T., Wickham, J. D., Yankee, D. H., & Timmins, S. P. (1995). A factor analysis of landscape pattern and structure metrics. Landscape Ecology, 10, 23–39.

    Article  Google Scholar 

  39. Gupta, S. K., & Pandey, A. C. (2020). Change detection of landscape connectivity arisen by forest transformation in Hazaribagh wildlife sanctuary, Jharkhand (India). Spatial Information Research, 28, 391–404. https://doi.org/10.1007/s41324-019-00301-0.

    Article  Google Scholar 

  40. Gu, Y., Wylie, B. K., Howard, D. M., Phuyal, K. P., & Ji, L. (2013). NDVI saturation adjustment: A new approach for improving cropland performance estimates in the Greater Platte River Basin, USA. Ecological Indicators, 30, 1–6.

    Article  Google Scholar 

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Correspondence to Soumen Chatterjee.

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Chatterjee, S. Impact of open pit coal mining on the forest landscape ecology using spatial metrics: a study of Barabani C.D. block, West Bengal. Spat. Inf. Res. 29, 645–659 (2021). https://doi.org/10.1007/s41324-021-00382-w

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  • DOI: https://doi.org/10.1007/s41324-021-00382-w

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