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Open AccessArticle

Recent Deforestation Pattern Changes (2000–2017) in the Central Carpathians: A Gray-Level Co-Occurrence Matrix and Fractal Analysis Approach

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University of Bucharest-Research Center for Integrated Analysis and Territorial Management, 4-12, Regina Elisabeta Avenue; 030018 Bucharest, Romania
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Research Institute of the University of Bucharest (ICUB), 36-46 Mihail Kogălniceanu Avenue, 050107 Bucharest, Romania
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Faculty of Geography, University of Bucharest, 1, Nicolae Bălcescu Avenue, 010041 Bucharest, Romania
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Centre for Physiological Medicine, Institute of Biophysics, Medical University of Graz, 8010 Graz, Austria
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Centre for Research in Complex Systems, School of Community Health, Charles Sturt University, Albury NSW 2640, Australia
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Laboratory of Cancer Cell Biology, Institute for Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia
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Faculty of Administration and Business, University of Bucharest, 4-12, Regina Elisabeta Avenue, 030018 Bucharest, Romania
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Intergraph Computer Services, Puţul lui Zamfir Street, 22-24, 011683 Bucharest, Romania
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Department of Geosciences and Natural Resource Management, University of Copenhagen, Oster Voldgade 10, DK-1350 Copenhagen, Denmark
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Author to whom correspondence should be addressed.
Forests 2019, 10(4), 308; https://doi.org/10.3390/f10040308
Received: 17 January 2019 / Revised: 19 March 2019 / Accepted: 31 March 2019 / Published: 3 April 2019
The paper explores the distribution of tree cover and deforested areas in the Central Carpathians in the central-east part of Romania, in the context of the anthropogenic forest disturbances and sustainable forest management. The study aims to evaluate the spatiotemporal changes in deforested areas due to human pressure in the Carpathian Mountains, a sensitive biodiverse European ecosystem. We used an analysis of satellite imagery with Landsat-7 Enhanced Thematic Mapper Plus (Landsat-7 ETM+) from the University of Maryland (UMD) Global Forest Change (GFC) dataset. The workflow started with the determination of tree cover and deforested areas from 2000–2017, with an overall accuracy of 97%. For the monitoring of forest dynamics, a Gray-Level Co-occurrence Matrix analysis (Entropy) and fractal analysis (Fractal Fragmentation-Compaction Index and Tug-of-War Lacunarity) were utilized. The increased fragmentation of tree cover (annually 2000–2017) was demonstrated by the highest values of the Fractal Fragmentation-Compaction Index, a measure of the degree of disorder (Entropy) and heterogeneity (Lacunarity). The principal outcome of the research reveals the dynamics of disturbance of tree cover and deforested areas expressed by the textural and fractal analysis. The results obtained can be used in the future development and adaptation of forestry management policies to ensure sustainable management of exploited forest areas. View Full-Text
Keywords: forest disturbance; deforested areas; tree cover; Fractal Fragmentation-Compaction Index; entropy analysis forest disturbance; deforested areas; tree cover; Fractal Fragmentation-Compaction Index; entropy analysis
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Ciobotaru, A.-M.; Andronache, I.; Ahammer, H.; Jelinek, H.F.; Radulovic, M.; Pintilii, R.-D.; Peptenatu, D.; Drăghici, C.-C.; Simion, A.-G.; Papuc, R.-M.; Marin, M.; Radu, R.-A.; Grecu, A.; Gruia, A.K.; Loghin, I.-V.; Fensholt, R. Recent Deforestation Pattern Changes (2000–2017) in the Central Carpathians: A Gray-Level Co-Occurrence Matrix and Fractal Analysis Approach. Forests 2019, 10, 308.

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