Assessing wildfire vulnerability of vegetated serpentine soils in the Balkan peninsula

Hysa, Artan; Teqja, Zydi; Bani, Aïda; Libohova, Zamir; Cerdà, Artemi

doi:10.1016/j.jnc.2022.126217

Cited by 6 publications

(3 citation statements)

References 43 publications

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“…Additionally, fires destroy local vegetation and alter soil composition, which may lead to reduced ground intrusion of rainwater, effectively increasing surface runoff and the severity of natural hazards such as the rapid erosion of soil or flooding [5][6][7][12][13][14][15][16]. Furthermore, patches of burned ground are often irreversibly altered as local flora struggles to regrow, thus slowing down the overall vegetation recovery rate of the affected area [13,14,17,18]. Another significant effect of forest fires on the general environment and local ecosystems is the rapid production of carbon and other pollutants [19].…”

Section: Introductionmentioning

confidence: 99%

Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece

Dosiou,

Athinelis,

Katris

et al. 2024

Fire

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In 2023, Greece faced its worst wildfire season, with nine major fires causing unprecedented environmental damage of 1470.31 km2. This article uses Copernicus Land Monitoring Service and Sentinel-2 data, employing advanced remote sensing and GIS techniques to analyze spatial dynamics, map burn severity, assess fire extent, and highlight pre-fire tree density and land cover. The study focuses on the catastrophic fire in the Evros region and the damage to the National Forest Park of Dadia–Lefkimmi–Soufli. It also analyzes significant fires in Rhodes, Attica, Thessaly, Evia, Corfu, and Magnesia, emphasizing the compounded challenges posed by terrain, climate, and human factors in those areas. Additionally, the climate data for each affected area were compared with the weather conditions prevailing at the time of the fires. Copernicus Land Cover and Tree Density data are integrated to aid future management, assessment, and restoration. The analysis of maps and fire statistics underscores a notable pattern: areas with higher pre-fire tree density experienced correspondingly higher burn severity. This research underscores the crucial role of such data in assessing wildfire impact. In addition, compared with Copernicus Emergency Management Service, the burned area maps validate the accuracy and reliability of the utilized satellite data. The total burned area was assessed with a high accuracy rate of 96.28%.

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Section: Introductionmentioning

confidence: 99%

Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece

Dosiou,

Athinelis,

Katris

et al. 2024

Fire

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“…The forest fire spread hazard refers to the possibility of a forest fire spreading (assuming that a forest fire has already begun) [1][2][3][4][5][6]. Under the influence of climate change and land use changes, the occurrence probability and intensity of extreme fires have increased significantly [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…Tao et al [32] calculated the probability of canopy fire occurrence and potential canopy fire behavior characteristics of major coniferous forests in the Beijing mountainous area under different gradient burning conditions on the basis of an in-depth understanding of the spatial distribution of fuels in different layers and established the canopy hazard index model of major coniferous forests by using the canopy fire spread critical index model. Hysa et al [2,5] used the wildfire ignition probability index and wildfire spreading capacity index to assess wildfire risk in northern Albania's broad-leaved forests and the wildfire vulnerability of vegetated serpentine soils in the Balkan peninsula. Aparício et al [33] quantified the impact of spatial arrangement of fuels on fire spread connectivity based on wildfire behavior simulations and network analysis methods, providing a basis for reducing the risk of fire spread and the potential impact of extreme fires.…”

Section: Introductionmentioning

confidence: 99%

Forest Fire Spread Hazard and Landscape Pattern Characteristics in the Mountainous District, Beijing

Wang,

Li,

Lai

et al. 2023

Forests

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Objective: This study established an index system for assessing forest fire spread hazards and conducted a forest fire spread hazard assessment in the mountainous district of Beijing (including Fangshan, Mentougou, Changping, Yanqing, Huairou, Miyun, and Pinggu). The relationship between forested landscape spatial pattern and forest fire spread hazard was explored; this method provided the basis for the establishment of a landscape forest fire security guarantee system. Methods: The forest fire spread hazard assessment index system was constructed from four aspects: forest fuel, meteorological factors, topographic factors, and fire behavior. The weighted comprehensive evaluation method and area-weighted average method were used to calculate the forest fire spread hazard indices at the subcompartment scale and township scale. Moran’s I index was selected as the spatial autocorrelation index to analyze the autocorrelation degree and spatial distribution of the forest fire spread hazard index. Eleven representative landscape pattern indices were selected to analyze the main landscape spatial pattern affecting forest fire spread hazard by correlation analysis and principal component analysis. Results: (1) The areas with high, medium–high, medium-low, and low forest fire spread hazard grades accounted for 39.87%, 33.10%, 11.37%, and 15.66% of the study area, respectively, at the subcompartment scale and for 52.36%, 22.58%, 18.39%, and 6.67% of the study area, respectively, at the township scale. (2) The forest fire spread hazard index results obtained at the subcompartment and township scales in the Mountainous District of Beijing showed a spatial agglomeration distribution law. (3) The forest fire spread hazard was influenced mainly by landscape diversity (SHDI and PRD), landscape aggregation (AI, CONTAG, and PD), and landscape area (TA). Conclusions: The overall forest fire spread hazard in the mountainous district of Beijing showed a gradual increase from plains to mountainous areas. The land types of the high-spread hazard subcompartment mainly included general shrubbery and coniferous forestlands, and the dominant species in the high-spread hazard arbor forest subcompartment were mainly Platycladus orientalis, Pinus tabuliformis, and Quercus mongolica.

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Post-wildfire boreal forest vegetation cover change mapping via information fusion for secondary disaster risk assessments

Zhang,

Lovitt,

Fortin

et al. 2024

International Journal of Applied Earth Observation and Geoinfor

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Assessing wildfire vulnerability of vegetated serpentine soils in the Balkan peninsula

Cited by 6 publications

References 43 publications

Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece

Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece

Forest Fire Spread Hazard and Landscape Pattern Characteristics in the Mountainous District, Beijing

Post-wildfire boreal forest vegetation cover change mapping via information fusion for secondary disaster risk assessments

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