Fractal analysis of spatio-temporal changes of forest cover in Istanbul, Turkey
DOI:
https://doi.org/10.3986/AGS.10206Keywords:
fractal analysis, fractal dimension, lacunarity index, spatio-temporal changes, forest cover, land use changeAbstract
In this study, the spatio-temporal changes in forest cover in Istanbul, one of the provinces with the most changes in forest areas in Turkey due to the pressure of urbanization and industrialization, were investigated using fractal analysis. The areal changes and changes in spatial patterns were determined to assess the spatio-temporal changes in the period 2000–2017. Fragmentation/compactness and heterogeneity/homogeneity of forest cover were determined by fractal dimension and lacunarity index, respectively. The results show that the forest areas have significantly decreased and become more fragmented and heterogeneous. In conclusion, this study reveals that fractal analysis can provide considerable information in the examination and interpretation of spatial changes in forest areas.
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Allain, C., Cloitre, M. 1991: Characterizing the lacunarity of random and deterministic fractal sets. Physics Review A 44-6. DOI: https://doi.org/10.1103/physreva.44.3552
Andronache, I. C., Ahammer, H., Jelinek, H. F., Peptenatu, D., Ciobotaru, A. M., Drăghici, C. C., Pintilii, R. D., et al. 2016: Fractal analysis for studying the evolution of forests. Chaos, Solitons and Fractals 91. DOI: https://doi.org/10.1016/j.chaos.2016.06.013
Andronache, I., Marin, M., Fischer, R., Ahammer, H., Radulovic, M., Ciobotaru, A. M., Jelinek, H. F., et al. 2019: Dynamics of forest fragmentation and connectivity using particle and fractal analysis. Scientific Reports 9. DOI: https://doi.org/10.1038/s41598-019-48277-z
Atmiş, E., Özden, S., Lise, W. 2007: Urbanization pressures on the natural forests in Turkey: An overview. Urban Forestry and Urban Greening 6-2. DOI: https://doi.org/10.1016/j.ufug.2007.01.002
Balthazar, V., Vanacker, V., Molina, A., Lambin, E. F. 2015: Impacts of forest cover change on ecosystem services in high Andean mountains. Ecological Indicators 48. DOI: https://doi.org/10.1016/j.ecolind.2014.07.043
Bogaert, J., Barima, Y. S. S., Iyongo Waya Mongo, L., Bamba, I., Mama, A., Toyi, M., Lafortezza, R. 2011. Forest fragmentation: Causes, ecological impacts and implications for landscape management. Landscape Ecology in Forest Management and Conservation. Berlin, Heidelberg. DOI: https://doi.org/10.1007/978-3-642-12754-0_12
Broadbent, E. N., Asner, G. P., Keller, M., Knapp, D. E., Oliveira, P. J. C., Silva, J. N. 2008: Forest fragmentation and edge effects from deforestation and selective logging in the Brazilian Amazon. Biological Conservation 141-7. DOI: https://doi.org/10.1016/j.biocon.2008.04.024
Buajan, S., Jinfu, L., Zhongsheng, H., Xueping, F., Muhammad, A. 2017: The effect of light on micro-environment and specific leaf area within the gap, subtropical forest, China. Pakistan Journal of Botany 49-1.
Çakir, G., Özdemir, M. 2015: Determination to results of forest management planning applications with land use changes from 1971 to 2008 in Yalova-Turkey. Journal of the Indian Society of Remote Sensing 43-1. DOI: https://doi.org/10.1007/s12524-014-0374-8
Çakir, G., Ün, C., Baskent, E. Z., Köse, S., Sivrikaya, F., Keleş, S. 2008: Evaluating urbanization, fragmentation and land use/land cover change pattern in Istanbul city, Turkey from 1971 to 2002. Land Degradation and Development 19-6. DOI: https://doi.org/10.1002/ldr.859
Chakravarty, S., Ghosh, S. K., Suresh, C. P., Dey, A. N., Shukla, G. 2012: Deforestation: Causes, effects and control strategies. Global Perspectives on Sustainable Forest Management. Rijeka. DOI: https://doi.org/10.5772/33342
Dasari, S., Gupta, S. 2020: Application of fractal analysis in evaluation of urban road networks in small sized city of India: Case city of Karimnagar. Transportation Research Procedia 48. DOI: https://doi.org/10.1016/j.trpro.2020.08.227
Diaconu, D. C., Andronache, I., Ahammer, H., Ciobotaru, A. M., Zelenakova, M., Dinescu, R., Pozdnyakov, A. V., Chupikova, S. A. 2017: Fractal drainage model - A new approach to determinate the complexity of watershed. Acta Montanistica Slovaca 22-1.
Diaconu, D. C., Papuc, R. M., Peptenatu, D., Andronache, I., Marin, M., Dobrea, R. C., Drăghici, C. C., et al. 2020: Use of fractal analysis in the evaluation of deforested areas in Romania. Advances in Forest Management under Global Change. London. DOI: https://doi.org/10.5772/intechopen.91621
Dogan, M. 2013: Geçmişten günümüze İstanbul'da sanayileşme süreci ve son 10 yıllık değişimi. Marmara Geographical Review 27-1.
Dong, P. 2000: Lacunarity for spatial heterogeneity measurement in GIS. Geographic Information Sciences 6-1. DOI: https://doi.org/10.1080/10824000009480530
Drăghici, C. C., Andronache, I., Ahammer, H., Peptenatu, D., Pintilii, R. D., Ciobotaru, A. M., Simion, A. G., et al. 2017: Spatial evolution of forest areas in the northern Carpathian Mountains of Romania. Acta Montanistica Slovaca 22-2.
Foški, M. 2019: Using the parcel shape index to determine arable land division types. Acta geographica Slovenica 59-1. DOI: https://doi.org/10.3986/AGS.4574
Global Forest Change 2000–2017 Database. University of Maryland, Department of Geographical Sciences. College Park, 2018.
Gökburun, İ. 2017: İstanbul'da nüfusun gelişimi ve ilçelere dağılımı (1950–2015). Journal of Anatolian Cultural Research 1-3.
Hu, S., Tong, L., Frazier, A. E., Liu, Y. 2015: Urban boundary extraction and sprawl analysis using Landsat images: A case study in Wuhan, China. Habitat International 47. DOI: https://doi.org/10.1016/j.habitatint.2015.01.017
Ianăş, A. N., Germain, D. 2018: Quantifying landscape changes and fragmentation in a national park in the Romanian Carpathians. Carpathian Journal of Earth and Environmental Sciences 13-1. DOI: https://doi.org/10.26471/cjees/2018/013/014
Işık, Ş. 2005: Türkiye’de kentleşme ve kentleşme modelleri. Aegean Geographical Journal 14-1.
Jiang, B., Brandt, S. A. 2016: A fractal perspective on scale in geography. ISPRS International Journal of Geo-Information 5-6. DOI: https://doi.org/10.3390/ijgi5060095
Jovanović, M. M., Milanović, M. M., Zorn, M. 2018: The use of NDVI and CORINE Land Cover databases for forest management in Serbia. Acta geographica Slovenica 58-1. DOI: https://doi.org/10.3986/AGS.818
Karaburun, A., Demirci, A., Suen, I. S. 2010: Impacts of urban growth on forest cover in Istanbul (1987–2007). Environmental Monitoring and Assessment 166-1–4. DOI: https://doi.org/10.1007/s10661-009-1000-z
Karpinski, M., Kuznichenko, S., Kazakova, N., Fraze-Frazenko, O., Jancarczyk, D. 2020: Geospatial assessment of the territorial road network by fractal method. Future Internet 12-11. DOI: https://doi.org/10.3390/fi12110201
Li, X., Liu, L., Dong, X. 2011: Quantitative analysis of urban expansion using RS and GIS, A case study in Lanzhou. Journal of Urban Planning and Development 137-4. DOI: https://doi.org/10.1061/(ASCE)UP.1943-5444.0000078
Lorimer, N. D., Haight, R. G., Leary, R. A. 1994: The fractal forest: Fractal geometry and applications in forest science. General Technical Report NC-170. St. Paul. DOI: https://doi.org/10.2737/NC-GTR-170
Lu, Y., Tang, J. 2004: Fractal dimension of a transportation network and its relationship with urban growth: A study of the Dallas-Fort Worth area. Environment and Planning B: Planning and Design 31-6. DOI: https://doi.org/10.1068/b3163
Man, X., Chen, Y. 2020: Fractal-based modeling and spatial analysis of urban form and growth: A case study of Shenzhen in China. ISPRS International Journal of Geo-Information 9-11. DOI: https://doi.org/10.3390/ijgi9110672
Morency, C., Chapleau, R. 2003: Fractal geometry for the characterisation of urban-related states: Greater Montreal Case. Harmonic and Fractal Image Analysis 2003.
Ni, C., Zhang, S., Chen, Z., Yan, Y., Li, Y. 2017: Mapping the spatial distribution and characteristics of lineaments using fractal and multifractal models: A case study from northeastern Yunnan province, China. Scientific Reports 7. DOI: https://doi.org/10.1038/s41598-017-11027-0
Nunoo, E. K. 2008: EIA performance standards and thresholds for sustainable forest management in Ghana. Standards and Thresholds for Impact Assessment. Berlin, Heidelberg. DOI: https://doi.org/10.1007/978-3-540-31141-6_18
Official Statistics. Turkish Meteorological Service. Ankara, 2019.
Oliveira, M. A. B. de, Brandi, A. C., dos Santos, C. A., Botelho, P. H. H., Cortez, J. L. L., de Godoy, M. F., Braile, D. M. 2014: Comparison of fractal dimension and Shannon entropy in myocytes from rats treated with histidine-tryptophan-glutamate and histidine-tryptophan cetoglutarate. Brazilian Journal of Cardiovascular Surgery 29-2. DOI: https://doi.org/10.5935/1678-9741.20140052
Ozturk, D. 2017: Assessment of urban sprawl using Shannon’s entropy and fractal analysis: A case study of Atakum, Ilkadim and Canik (Samsun, Turkey). Journal of Environmental Engineering and Landscape Management 25-3. DOI: https://doi.org/10.3846/16486897.2016.1233881
Peh, K. S. H., Lin, Y., Luke, S. H., Foster, W. A., Turner, E. C. 2014: Forest fragmentation and ecosystem function. Global Forest Fragmentation. Oxfordshire. DOI: https://doi.org/10.1079/9781780642031.0096
Peitgen, H. O., Jürgens, H., Saupe, D. 2004: Chaos and Fractals. New Frontiers of Science. New York. DOI: https://doi.org/10.1007/b97624
Pintilii, R. D., Andronache, I. C., Simion, A. G., Draghici, C. C., Peptenatu, D., Ciobotaru, A. M., Dobrea, R. C., Papuc, R. M. 2016: Determining forest fund evolution by fractal analysis (Suceava-Romania). Urbanism. Architecture. Constructions 7-1.
Polenšek, M., Pirnat, J. 2018: Forest patch connectivity: The case of the Kranj–Sora Basin, Slovenia. Acta geographica Slovenica 58-1. DOI: https://doi.org/10.3986/AGS.3001
Pourghasemi, H. R., Moradi, H. R., Fatemi Aghda, S. M., Sezer, E. A., Goli Jirandeh, A., Pradhan, B. 2014. Assessment of fractal dimension and geometrical characteristics of the landslides identified in North of Tehran, Iran. Environmental Earth Sciences 71-8. DOI: https://doi.org/10.1007/s12665-013-2753-9
Provincial and district surface areas. Turkish General Directorate of Maps. Ankara, 2018.
Purevtseren, M., Tsegmid, B., Indra, M., Sugar, M. 2018: The fractal geometry of urban land use: The case of Ulaanbaatar city, Mongolia. Land 7-2. DOI: https://doi.org/10.3390/land7020067
Reddy, C. S., Jha, C. S., Diwakar, P. G., Dadhwal, V. K. 2015: Nationwide classification of forest types of India using remote sensing and GIS. Environmental Monitoring and Assessment 187-12. DOI: https://doi.org/10.1007/s10661-015-4990-8
Ren, C., Chen, L., Wang, Z., Zhang, B., Xi, Y., Lu, C. 2019: Spatio–temporal changes of forests in northeast China: Insights from Landsat images and geospatial analysis. Forests 10-11. DOI: https://doi.org/10.3390/f10110937
Sahitya, K. S., Prasad, C. S. R. K. 2020: Fractal modelling of an urban road network using Geographical Information Systems (GIS). World Review of Intermodal Transportation Research 9-4. DOI: https://doi.org/10.1504/WRITR.2020.111078
Shao, G., Reynolds, K. M. 2006: Introduction. Computer Applications in Sustainable Forest Management. Including Perspectives on Collaboration and Integration. Dordrecht. DOI: https://doi.org/10.1007/978-1-4020-4387-1_1
Statistics. Turkish Statistical Institute. Ankara, 2021.
Sun, T., Wu, K., Chen, L., Liu, W., Wang, Y., Zhang, C. 2017: Joint application of fractal analysis and weights-of-evidence method for revealing the geological controls on regional-scale tungsten mineralization in Southern Jiangxi Province, China. Minerals 7-12. DOI: https://doi.org/10.3390/min7120243
Sun, Z., Jia, P., Kato, H., Hayashi, Y. 2007: Distributive continuous fractal analysis for urban transportation network. Journal of the Eastern Asia Society for Transportation Studies 7. DOI: https://doi.org/10.11175/easts.7.1519
Tannier, C., Thomas, I., Vuidel, G., Frankhauser, P. 2011: A fractal approach to identifying urban boundaries. Geographical Analysis 43-2. DOI: https://doi.org/10.1111/j.1538-4632.2011.00814.x
Terzi, F., Kaya, H. S. 2011: Dynamic spatial analysis of urban sprawl through fractal geometry: The case of Istanbul. Environment and Planning B: Planning and Design 38-1. DOI: https://doi.org/10.1068/b35096
Tian, G., Yang, Z., Xie, Y. 2007: Detecting spatiotemporal dynamic landscape patterns using remote sensing and the lacunarity index: A case study of Haikou City, China. Environment and Planning B: Planning and Design 34-3. DOI: https://doi.org/10.1068/b3155
Wang, G., Carranza, E. J. M., Zuo, R., Hao, Y., Du, Y., Pang, Z., Sun, Y., Qu, J. 2012: Mapping of district-scale potential targets using fractal models. Journal of Geochemical Exploration 122. DOI: https://doi.org/10.1016/j.gexplo.2012.06.013
Yang, B., Yuan, J., Duan, L., Liu, Q. 2019: Using GIS and fractal theory to evaluate degree of fault complexity and water yield. Mine Water and the Environment 38-2. DOI: https://doi.org/10.1007/s10230-018-0563-8
Zhao, G., Shao, G., Reynolds, K. M., Wimberly, M. C., Warner, T., Moser, J. W., Rennolls, K., et al. 2005: Digital forestry: A white paper. Journal of Forestry 103-1.
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