The impact of traditional gold mining on land use changes and vegetation index in Mandor Subwatershed, West Kalimantan
DOI:
https://doi.org/10.15243/jdmlm.2023.102.4219Keywords:
forest, gold mining, land degradation, land use changes, remote sensingAbstract
Traditional gold mining activities altered the environmental structure of the Mandor Subwatershed significantly. The expansion of critical land in the Mandor Subwatershed causes flooding due to the lack of water catchment areas. The purpose of this study was to identify the impact of traditional gold mining on land use change in the Mandor Subwatershed. The research was conducted with a spatial analysis approach using Landsat multitemporal images from 2002, 2013, and 2022, followed by a field survey. A comparison of the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) methods was used to determine the changing process of vegetation density. The accuracy of vegetation index analysis indicated that the EVI method was more accurate for identifying vegetation density than the NDVI method. Land use change from 2002 to 2022 was dominated by an increase in the land area devoted to mining and oil palm plantations. The impact of this traditional gold mining has led to significant deforestation and land degradation over the past 20 years in the Mandor Subwatershed. This affects the condition of the surrounding environment as well as human health.References
Alcaraz-Segura, D., Cabello, J., Paruelo, J.M. and Delibes, M. 2009. Use of descriptors of ecosystem functioning for monitoring a national park network: a remote sensing approach. Environmental Management 43(1):38-48, doi:10.1007/s00267-008-9154-y.
Andana, E.K. 2015. Development of Landsat-8 satellite image data for mapping horticultural crop areas with various vegetation index algorithm methods (case study: Malang Regency and its surroundings). Proceedings of the National Seminar on Technology Management XXII. Vol. 15 (in Indonesian).
Blanco, G.D., Fernández-Llamazares, Ã., Blanco, G.D., Baker, J., Tagliari, M.S.M., Hayata, M.A., Campos, M.L. and Hanazaki, N. 2022. The impacts of mining on the food sovereignty and security of indigenous peoples and local communities: a global review. Science of the Total Environment 855:158803, doi:10.1016/j.scitotenv.2022.158803.
Cahyono, B.E, Frahma, Y.F. and Nugroho, A.T. 2019. The rate of land cover change using Landsat data in a coal mining area of Sawah Lunto City, Indonesia. Jurnal Penelitian Fisika dan Aplikasinya 9(2):189-203, doi:10.26740/jpfa.v9n2.p189-203 (in Indonesian).
Carvalho, F.M.V.D., Ferreira, L G., Lobo, F.C., Diniz-Filho, J.A.F. and Bini, L.M. 2008. Padrões de autocorrelação espacial de Ãndices de vegetação MODIS no bioma cerrado. Revista Ãrvore 32:279-290, doi:10.1590/S0100-67622008000200011.
Dan-Badjo, A.T., Ibrahim, O.Z., Guéro, Y., Morel, J.L., Feidt, C. and Echevarria, G. 2019. Impacts of artisanal gold mining on soil, water and plant contamination by trace elements at Komabangou, Western Niger. Journal of Geochemical Exploration 205:106328, doi:10.1016/j.gexplo.2019.06.010.
Dero, K., Shiferaw, W. and Zewde, B. 2021. Urban induced land use land cover changes in upper Deme watershed, Southwest Ethiopia. Journal of Degraded and Mining Lands Management 9(1):3045-3153, doi:10.15243/jdmlm.2021.091.3045.
Douine, M., Lazrek, Y., Blanchet, D., Pelleau, S., Chanlin, R., Corlin, F., Hureau, L., Volney, B., Hiwat, H., Vreden, S. and Djossou, F. 2018. Predictors of antimalarial self-medication in illegal gold miners in French Guiana: a pathway towards artemisinin resistance. Journal of Antimicrobial Chemotherapy 73(1):231-239, doi:10.1093/jac/dkx343.
Hidayat, W., Rustiadi, E. and Kartodihardjo, H. 2015. Impact of mining on land use change and suitability of spatial designation (Case study of East Luwu District, South Sulawesi Province). Jurnal Perencanaan Wilayah dan Kota 26(2):130-146, doi:10.5614/jpwk.2015.26.2.5 (in Indonesian).
Husodo, T., Ali, Y., Mardiyah, S.R., Shanida, S.S., Abdoellah, O.S. and Wulandari, I. 2021. Satellite image-based vegetation land change in the Citarum watershed, Bandung, West Java. Majalah Geografi Indonesia 35(1):54-63, doi:10.22146/mgi.61217 (in Indonesian).
Iskandar, M., Sanjoto, T.B. and Sutardji, S. 2012. Vegetation density analysis using remote sensing techniques as a basis for evaluating forest damage in Gunung Gede Pangrango National Park. Geo-Image 1(1), doi:10.15294/geoimage.v1i1.953. (in Indonesian).
Islam, K., Jashimuddin, M., Nath, B. and Nath, T.K. 2018. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science 21(1):37-47, doi:10.1016/j.ejrs.2016.12.005.
Islam, K., Vilaysouk, X. and Murakami, S. 2020. Integrating remote sensing and life cycle assessment to quantify the environmental impacts of copper-silver-gold mining: A case study from Laos. Resources, Conservation and Recycling 154:104630, doi:10.1016/j.resconrec.2019.104630.
Kahhat, R., Parodi, E., Larrea-Gallegos, G., Mesta, C. and Vázquez-Rowe, I. 2019. Environmental impacts of the life cycle of alluvial gold mining in the Peruvian Amazon rainforest. Science of the Total Environment 662:940-951, doi:10.1016/j.scitotenv.2019.01.246.
Karnilawati, K. 2018. Characterization and classification of Ultisol soils in Indrajaya District, Pidie Regency. Jurnal Ilmiah Pertanian 14(2):52-59, doi:10.31849/jip.v14i2.437 (in Indonesian).
Klubi, E., Abril, J. M., Nyarko, E. and Delgado, A. 2018. Impact of gold-mining activity on trace elements enrichment in the West African estuaries: The case of Pra and Ankobra rivers with the Volta estuary (Ghana) as the reference. Journal of Geochemical Exploration 190:229-244, doi:10.1016/j.gexplo.2018.03.014.
Lambin, E.F., Geist, H.J. and Lepers, E. 2003. Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources 28(1):205-241, doi:10.1146/annurev.energy. 28.050302.105459.
Liu, R.P., Xu, Y.N., Rui, H.C., El-Wardany, R.M. and Dong, Y. 2021. Migration and speciation transformation mechanisms of mercury in undercurrent zones of the Tongguan gold mining area, Shaanxi Loess Plateau and impact on the environment. China Geology 4(2):311-328, doi:10.31035/cg2021030.
Mailendra, M. and Buchori, I. 2019. Land damage due to unlicensed gold mining activities around the Singingi River, Kuantan Singingi District. Jurnal Pembangunan Wilayah dan Kota 15(3):174-188, doi:10.14710/pwk.v15i3.21304 (in Indonesian).
Mason, R.P., Baumann, Z., Hansen, G., Yao, K.M., Coulibaly, M. and Coulibaly, S. 2019. An assessment of the impact of artisanal and commercial gold mining on mercury and methylmercury levels in the environment and fish in Cote d'Ivoire. Science of the Total Environment 665:1158-1167, doi:10.1016/ j.scitotenv.2019.01.393.
Nugroho, F.S. 2015. Effect of the number of spectral channels, the correlation between spectral channels and the number of object classes on the accuracy of land cover classification. Jurnal Ilmiah Geomatika 21(1): 163-170 (in Indonesian).
Pang, Q., Gu, J., Wang, H. and Zhang, Y. 2022. Global health impact of atmospheric mercury emissions from artisanal and small-scale gold mining. Iscience 25(9):104881, doi:10.1016/j.isci.2022.104881.
Petit, C., Scudder, T. and Lambin, E. 2001. Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in south-eastern Zambia. International Journal of Remote Sensing 22(17):3435-3456, doi:10.1080/ 01431160010006881.
Pettorelli, N., Vik, J.O., Mysterud, A., Gaillard, J., Tucker, C.J. and Stenseth, C. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution 20(9):503-510, doi:10.1016/j.tree.2005.05.011.
Prescott, G.W., Baird, M., Geenen, S., Nkuba, B., Phelps, J. and Webb, E.L. 2022. Formalizing artisanal and small-scale gold mining: A grand challenge of the Minamata Convention. One Earth 5(3):242-251, doi:10.1016/j.oneear.2022.02.005.
Prince, S.D., Becker-Reshef, I. and Rishmawi, K. 2009. Detection and mapping of long-term land degradation using local net production scaling: application to Zimbabwe. Remote Sensing of Environment 113(5):1046-1057, doi:10.1016/j.rse.2009.01.016.
Romiyanto, R., Barus, B. and Sudadi, U. 2015. A spatial model of land damage and water pollution due to unlicensed gold mining activities in the Raya river basin, West Kalimantan. Jurnal Tanah dan Lingkungan 17(2):47-53, doi:10.29244/jitl.17.2.47-53 (in Indonesian).
Rwanga, S.S. and Ndambuki, J.M. 2017. Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences 8(04):611, doi:10.4236/ijg.2017.84033.
Seki, H.A., Thorn, J.P., Platts, P.J., Shirima, D.D., Marchant, R.A., Abeid, Y., Baker, N., Annandale, M. and Marshall, A.R. 2022. Indirect impacts of commercial gold mining on adjacent ecosystems. Biological Conservation 275:109782, doi:10.1016/j.biocon.2022.109782.
Siahaya, W.A., Danoedoro, P., Khakhim, N. and Baiquni, M. 2015. The comparison analysis of land cover change based on vegetation index and multispectral classification (Case study Leihitu Peninsula Ambon City District). Journal of Degraded and Mining Lands Management 2(4):415-426, doi:10.15243/ jdmlm.2015.024.415.
Son, N.T., Chen, C.F., Chen, C.R., Minh, V.Q. and Trung, N.H. 2014. A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation. Agricultural and Forest Meteorology 197:52-64, doi:10.1016/j.agrformet.2014.06.007.
Sousa, R.N., Veiga, M.M., Klein, B., Telmer, K., Gunson, A.J. and Bernaudat, L. 2010. Strategies for reducing the environmental impact of reprocessing mercury-contaminated tailings in the artisanal and small-scale gold mining sector: insights from Tapajos River Basin, Brazil. Journal of Cleaner Production 18(16-17):1757-1766, doi:10.1016/j.jclepro.2010.06.016.
Sudiana, D. and Diasmara, E. 2008. Vegetation Index Analysis using NOAA/AVHRR and TERRA/AQUA-MODIS Satelit Satellite Data. Seminar on Intelligent Technology and Its Applications 3(2):423-428. (in Indonesian).
Triana, L., Nurjazuli, N. and Wahyuningsih, N.E. 2013. Analysis of mercury heavy metal contamination in water and shrimp in Mandor river, Mandor sub-district, Landak district. Jurnal Kesehatan Lingkungan Indonesia 11(2):144-152 (in Indonesian).
Ulrich, S., Trench, A. and Hagemann, S. 2022. Gold mining greenhouse gas emissions, abatement measures, and the impact of a carbon price. Journal of Cleaner Production 340:130851, doi:10.1016/j.jclepro.2022.130851.
USGS. 2016, Landsat-Earth Observation Satellites, Fact Sheet 2015-3081, ver. 1.1, U.S. Department of the Interior, U.S. Geological Survey.
Wang, Q., Adiku, S., Tenhunen, J. and Granier, A. 2005. On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment 94(2):244-255, doi:10.1016/j.rse.2004.10.006.
Yengoh, G.T., Dent, D., Olsson, L., Tengberg, A.E. and Tucker III, C.J. 2015. Use of the Normalized Difference Vegetation Index (NDVI) to assess Land degradation at multiple scales: current status, future trends, and practical considerations. Lund University Center for Sustainability Studies (LUCSUS), and The Scientific and Technical Advisory Panel of the Global Environment Facility (STAP/GEF), doi:10.1007/978-3-319-24112-8.
Yudistira, R., Meha, A.I. and Prasetyo, S.Y.J. 2019. Land conversion changes using NDVI, EVI, SAVI and PCA on Landsat 8 Imagery (Case Study: Salatiga City). Indonesian Journal of Computing and Modeling 2(1):25-30 (in Indonesian).
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