Evaluation of forest loss data using fractal algorithms: case study Eastern Carpathians–Romania

Logging causes the fragmentation of areas with direct implications for hydrological processes, landslides, or habitats. The assessment of this fragmentation process plays an important role in the planning of future logging, reconstruction, and protection measures for the whole ecosystem. The methodo...

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Vydané v:Frontiers in Forests and Global Change Ročník 7; s. 1432739
Hlavní autori: Diaconu, Daniel Constantin, Andronache, Ion, Gruia, Andrei Rafael, Bazac, Titus, Băloi, Aurel Mihail
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Lausanne Frontiers Media SA 01.07.2024
Frontiers Media S.A
Predmet:
Altitude
Biodiversity
Climate change
Deforestation
Emissions
Environmental conditions
Flood control
Floods
forest management
Forests
fractal algorithms
fractal analysis
Fractals
Fragmentation
Genetic diversity
Geology
imaging technique
Imaging techniques
Land degradation
Landslides
Logging
Mountains
Pollinators
Remote sensing
Carpathian Mountains
Romania
ISSN:2624-893X, 2624-893X
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Abstract Logging causes the fragmentation of areas with direct implications for hydrological processes, landslides, or habitats. The assessment of this fragmentation process plays an important role in the planning of future logging, reconstruction, and protection measures for the whole ecosystem. The methodology used includes imaging techniques applying two fractal indices: the Fractal Fragmentation Index (FFI) and the Fractal Fragmentation and Disorder Index (FFDI). The results showed the annual evolution and disposition of deforested areas. Only 3% of deforestation resulted in the fragmentation and splitting of forest plots. The remaining 97% resulted in the reduction of existing compact stands without fragmentation. The method has many advantages in quantifying the spatial evolution of forests, estimating the capture of carbon emissions and establishing sustainability of bird and animal habitats. The analysis took place in the Eastern Carpathians, in Romania, in the time period of 2001–2022.
AbstractList Logging causes the fragmentation of areas with direct implications for hydrological processes, landslides, or habitats. The assessment of this fragmentation process plays an important role in the planning of future logging, reconstruction, and protection measures for the whole ecosystem. The methodology used includes imaging techniques applying two fractal indices: the Fractal Fragmentation Index (FFI) and the Fractal Fragmentation and Disorder Index (FFDI). The results showed the annual evolution and disposition of deforested areas. Only 3% of deforestation resulted in the fragmentation and splitting of forest plots. The remaining 97% resulted in the reduction of existing compact stands without fragmentation. The method has many advantages in quantifying the spatial evolution of forests, estimating the capture of carbon emissions and establishing sustainability of bird and animal habitats. The analysis took place in the Eastern Carpathians, in Romania, in the time period of 2001–2022.
Author Băloi, Aurel Mihail
Bazac, Titus
Diaconu, Daniel Constantin
Gruia, Andrei Rafael
Andronache, Ion
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CitedBy_id crossref_primary_10_1080_17538947_2025_2509841
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SubjectTerms Altitude
Biodiversity
Climate change
Deforestation
Emissions
Environmental conditions
Flood control
Floods
forest management
Forests
fractal algorithms
fractal analysis
Fractals
Fragmentation
Genetic diversity
Geology
imaging technique
Imaging techniques
Land degradation
Landslides
Logging
Mountains
Pollinators
Remote sensing
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Title Evaluation of forest loss data using fractal algorithms: case study Eastern Carpathians–Romania
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