使用分形算法评估森林损失数据:东喀尔巴阡山脉-罗马尼亚案例研究

D. Diaconu, Ion Andronache, Andrei-Rafael Gruia, Titus Bazac, Aurel-Mihail BãloI
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引用次数: 0

摘要

伐木会造成区域破碎,对水文过程、山体滑坡或栖息地产生直接影响。对这一破碎化过程进行评估,对于规划未来的伐木、重建和整个生态系统的保护措施具有重要作用。所采用的方法包括应用两种分形指数的成像技术:分形破碎指数(FFI)和分形破碎与混乱指数(FFDI)。结果显示了毁林区域的年度演变和分布情况。只有 3% 的毁林导致了林地的破碎和分裂。其余 97% 的森林砍伐导致了现有紧凑林分的减少,而没有造成破碎。这种方法在量化森林的空间演变、估算碳排放捕获量以及确定鸟类和动物栖息地的可持续性方面有很多优势。分析在罗马尼亚东喀尔巴阡山脉进行,时间跨度为 2001-2022 年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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