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Forest Ecosystem on the Edge: Mapping Forest Fragmentation Susceptibility in Tuchola Forest, Poland
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Amidst the growing urgency to sustain forest ecosystems, this study presents a crucial analysis of forest fragmentation susceptibility in Poland's Tuchola Forest—a region recurrently devastated by windstorm events. Our research aims to innovatively harness remote sensing technologies for a comprehensive assessment of forest fragmentation from 2015 to 2020. The study primarily revolves around three objectives: selecting the most suitable remote sensing dataset for monitoring fragmentation, identifying key contributing factors to forest fragmentation, and developing a susceptibility map to illustrate the forest’s fragmentation dynamics.Employing a comparative analysis with the GTB tool, we scrutinized the capabilities of PALSAR (25m resolution) and Dynamic World (10m resolution) datasets. Our findings highlighted PALSAR's superior proficiency in detecting rare-patchy fragments, despite its marginally higher resolution. To construct a forest fragmentation susceptibility map, we used fragmented patches observed over the last six years as indicators of regions prone to intense fragmentation. These patches were further analyzed through the Weight-of-Evidence (WOE) method, where causative factors were normalized and scrutinized using a Correlation matrix.The results indicate a heightened vulnerability of forest areas proximal to agricultural lands (
Title: Forest Ecosystem on the Edge: Mapping Forest Fragmentation Susceptibility in Tuchola Forest, Poland
Description:
Amidst the growing urgency to sustain forest ecosystems, this study presents a crucial analysis of forest fragmentation susceptibility in Poland's Tuchola Forest—a region recurrently devastated by windstorm events.
Our research aims to innovatively harness remote sensing technologies for a comprehensive assessment of forest fragmentation from 2015 to 2020.
The study primarily revolves around three objectives: selecting the most suitable remote sensing dataset for monitoring fragmentation, identifying key contributing factors to forest fragmentation, and developing a susceptibility map to illustrate the forest’s fragmentation dynamics.
Employing a comparative analysis with the GTB tool, we scrutinized the capabilities of PALSAR (25m resolution) and Dynamic World (10m resolution) datasets.
Our findings highlighted PALSAR's superior proficiency in detecting rare-patchy fragments, despite its marginally higher resolution.
To construct a forest fragmentation susceptibility map, we used fragmented patches observed over the last six years as indicators of regions prone to intense fragmentation.
These patches were further analyzed through the Weight-of-Evidence (WOE) method, where causative factors were normalized and scrutinized using a Correlation matrix.
The results indicate a heightened vulnerability of forest areas proximal to agricultural lands (.
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