Biological Systems: Theory and Innovation

Assessment of the state of phytocenoses of quarry-dump complexes by remote sensing

Anna Mahdiichuk, Olena Demyanyuk, Olena Naumovska
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Abstract

One of the types of anthropogenic activities that leads to negative environmental changes and biodiversity loss is the extraction of minerals within quarry-dump complexes, which requires measures to restore ecological balance following the completion of mining operations. The search for optimal methods to identify disturbed areas, monitor the condition and recovery dynamics of exhausted lands in the context of biodiversity conservation and restoration was the aim of the study, particularly when field research was inaccessible, and there was a need to observe multiple sites simultaneously. This paper presents the results of assessing vegetation cover within territories disturbed by mineral extraction using remote sensing techniques. Methods such as scientific analysis, synthesis, statistical data processing, and the transect method were employed. It has been determined that the analysis and monitoring of Normalised Difference Vegetation Index (NDVI) values, obtained via remote sensing, enable the assessment of the quality of reclamation measures, identification of high-productivity areas, and detection of problem zones for devising effective methods to improve the ecological condition of the studied site. Within the examined Andriikovetskyi quarry-dump complex, the successional stages exhibited heterogeneity, with some areas remaining open without vegetation cover and others characterised by early successional stages and sparse vegetation. The lowest NDVI values were recorded in 2019 and 2022, while between 2020-2021 and 2023-2024, an increase in biomass productivity was observed, with the extent of areas covered by dense and moderate vegetation growing. It was noted that this situation was caused by height differences, surface irregularities, water and wind erosion processes (due to the absence of reclamation measures), instability of the sandy substrate, and a low capacity to supply vegetation with sufficient moisture. The findings of the study highlighted the importance of reclamation measures for post-mining areas and provided practical recommendations for the necessary engineering and technical measures to restore the quarry-dump complex to conditions that are closer to natural ones, promoting the spread of zonal species and self-recovery processes

Keywords

disturbed areas; NDVI; mineral extraction; vegetation; habitat conditions; reclamation; monitoring

Suggested citation
Mahdiichuk, A., Demyanyuk, O., & Naumovska, O. (2024). Assessment of the state of phytocenoses of quarry-dump complexes by remote sensing. Biological Systems: Theory and Innovation, 15(4), 23-33. https://doi.org/10.31548/biologiya/4.2024.23
References

1. Adjiski, V., & Zubíček, V. (2023). Continuous monitoring of the mining activities, restoration vegetation status and solar farm growth in coal mine region using remote sensing data. Mining Revue, 29(1), 26-41. doi: 10.2478/minrv-2023-0003.

2. Alpert, S. (2024). Anapplication of the modern methods for satellite image processing for solution of problems of environmental monitoring. Ukrainian Journal of Remote Sensing, 11(2), 13-18. doi: 10.36023/ujrs.2024.11.2.260.

3. Borysіuk, B., Нurelіa, V., & Statnyk, I. (2022). Study of the influence of activities on flora during the construction and operation of the titanium ore quarry. Herald of the National University of Water and Environmental Engineering: Agriculture Science, 3(99), 15-24. doi: 10.31713/vs320222.

4. Buczyńska,  A., Blachowski, J., & Bugajska-Jędraszek, N. (2023). Analysis of post-mining vegetation development using remote sensing and spatial regression approach: A case study of former “Babina” mine (Western Poland). Remote Sens, 15(3), article number 719. doi: 10.3390/rs15030719.

5. Carabassa, V., Montero, P., Alcañiz, J.M., & Padró, J.C. (2021). Soil erosion monitoring in quarry restoration using drones. Minerals, 11(9), article number 949. doi: 10.3390/min11090949.

6. Crop monitoring. (n.d.). Retrieved from https://crop-monitoring.eos.com.

7. Didur, I., & Shevchuk, V. (2020). Increasing soil fertility as a result of the accumulation of nitrogen by leguminous crops. Agriculture and Forestry, 16(1), 48-60. doi: 10.37128/2707-5826-2020-1-4.

8. Earth observing system. (n.d.). Retrieved from https://eos.com/uk/products/crop-monitoring/key-functions/satellite-monitoring.

9. Firozjaei, M.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, article number 107264. doi: 10.1016/j.ecolind.2020.107264.

10. Geoinform Ukraine. (n.d.). Retrieved from http://geoinf.kiev.ua.

11. Google Earth Engine. (n.d.). Retrieved from https://earthengine.google.com/.

12. Horun, M., Pyrih, H., Faifura, V., & Fedirko, M. (2019). Ecology. Ternopil: Ternopil National Economic University.

13. Huang, S., Tang, L., Hupy, J. P., Wang, Y., & Shao, G. (2021). A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32, 1-6. doi: 10.1007/s11676-020-01155-1.

14. International plant name index. (n.d.). Retrieved from https://www.ipni.org/.

15. Kumar, V., & Yarrakula, K. (2022). Environmental impact assessment of limestone quarry using multispectral satellite imagery. Earth Science Informatics, 15, 1905-1923. doi: 10.1007/s12145-022-00845-0.

16. Lischenko, L., Shevchuk, R., & Filipovych, V. (2022). The technique for satellite monitoring of peatlands in order to determinate their fire hazard and combustion risks. Ukrainian Journal of Remote Sensing, 9(1), 16-25. doi: 10.36023/ujrs.2022.9.1.210. 

17. Mironova, N., & Artamonov, B. (2020). The use of GIS technology in the study of mineral deposits of sedimentary origin of the Khmelnitskyi Region. Herald of Khmelnytskyi national university: Technical Science, 3(285), 7-11.

18. Mosyakin, S., & Fedoronchuk, M. (Eds.). (1999). Vascular plants of Ukraine: A nomenclatural checklist. Kyiv: M.G. Kholodny Institute of Botany. doi: 10.13140/2.1.2985.0409.

19. Mudrak, O., & Andrusiak, D. (2022). Influence of the pyrogenic factor on natural ecosystems of Podilski Tovtry National Nature Park. Agroecology Journal, 2, 124-138. doi: 10.33730/2077-4893.2.2022.263328.

20. Padro, J.C., et al. (2022). Drone-based identification of erosive processes in open-pit mining restored areas. Land, 11(2), article number 212. doi: 10.3390/land11020212.

21. Prokop, P. (2020). Remote sensing of severely degraded land: Detection of long-termland-use changes using high-resolution satellite images on the Meghalaya Plateau, northeast India. Remote Sensing Applications: Society and Environment, 20, article number 100432. doi: 10.1016/j.rsase.2020.100432.

22. Protopopova, V., Mosyakin, S., & Shevera, M. (2002). Phytoinvasions in Ukraine as a threat to biodiversity: Сurrent state and tasks for future. Kyiv: M.G. Kholodny Institute of Botany.

23. Shevchuk, R.M. (2019). Monitoring of myliatyn Granular phosphorite quarry current state using remote sensing data. Geological Journal, 2(367), 73-78. doi: 10.30836/igs.1025-6814.2019.2.169937.

24. State cadaster of territories and objects of the nature reserve fund. (2024). Retrieved from https://data.gov.ua/dataset/mepr_05.

25. Suetnov, Ye., & Lazebna, A. (2020). Legal regulation of waste management: Analysis, problems and directions of solution. Man and Environment, 33, 102-108. doi: 10.26565/1992-4224-2020-33-09.

26. Suresh, L., Jothibasu, A., & Anbazhagan, S. (2021). Assessment of land use and land cover changes in the granite mining area of Krishnagiri district, South India using remote sensing data. Indian Journal of Natural Sciences, 12(67), 32976-32988.

27. Vikhot, Yu., Bubniak, I., Kril, S., & Fourman, V. (2022). Using unmanned aerial vehicles (UAV) for geophysical observations. Herald of the Lviv University: Geology, 36, 100-105. doi: 10.30970/vgl.36.08.

28. Vorovencii, I. (2021). Changes detected in the extent of surface mining and reclamation using multitemporal Landsat imagery: A case study of Jiu Valley, Romania. Environmental Monitoring and Assessment, 193(30). doi: 10.1007/s10661-020-08834-w.

29. Wang, Y., Qiao, L.F., Yao, Z.Y., Qi, A.G., & Zhang, Y.C. (2022). Analysis of the change in vegetation coverage of chalk soil wasteland during the growing season based on UAV sequence image. Applied Ecology & Environmental Research, 20(4), 3311-3322. doi: 10.15666/aeer/2004_33113322.