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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Ciobotaru, AM; Andronache, I; Ahammer, H; Jelinek, HF; Radulovic, M; Pintilii, RD; Peptenatu, D; Draghici, CC; Simion, AG; Papuc, RM; Marin, M; Radu, RA; Grecu, A; Gruia, AK; Loghin, IV; 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(4): 308 Doi: 10.3390/f10040308 [OPEN ACCESS]
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Co-Autor*innen der Med Uni Graz
Ahammer Helmut
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Abstract:
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.

Find related publications in this database (Keywords)
forest disturbance
deforested areas
tree cover
Fractal Fragmentation-Compaction Index
entropy analysis
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