DOAJ Open Access 2024

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

Daniel Constantin Diaconu Daniel Constantin Diaconu Ion Andronache Andrei Rafael Gruia Andrei Rafael Gruia +3 lainnya

Abstrak

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.

Topik & Kata Kunci

Forestry Environmental sciences

Penulis (8)

Daniel Constantin Diaconu

Ion Andronache

Andrei Rafael Gruia

Titus Bazac

Aurel Mihail Băloi

Format Sitasi

APA MLA BibTeX

Diaconu, D.C., Diaconu, D.C., Andronache, I., Gruia, A.R., Gruia, A.R., Bazac, T. et al. (2024). Evaluation of forest loss data using fractal algorithms: case study Eastern Carpathians–Romania. https://doi.org/10.3389/ffgc.2024.1432739

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.3389/ffgc.2024.1432739
Akses: Open Access ✓