Mapping and assessment of ecological vulnerability to wildfires in Europe DOI Creative Commons
Fátima Arrogante‐Funes, Florent Mouillot,

Bruno Moreira

и другие.

Fire Ecology, Год журнала: 2024, Номер 20(1)

Опубликована: Окт. 18, 2024

Abstract Background Wildfires play a significant and complex role in ecosystems, influencing various aspects of their functioning structure. These natural disturbances can positively negatively impact shaping landscapes, nutrient cycles, biodiversity, ecological processes. This study focuses on assessing integrating the different factors that affect vulnerability to wildfires at European scale. Our methodology follows three steps. Firstly, values based biological distinctiveness conservation status were estimated understand pre-fire conditions better. Secondly, we obtain vegetation’s coping capacity (or resistance) impacts fire, considering functional traits plants fire characteristics through extreme scenario. Finally, post-fire recovery time was calculated by species-specific time, starting growth rate, environmental constraints affecting optimal vegetation response. variables combined using dynamic model assumed change value due integrated throughout time. Results results indicate tundra biome emerges as most ecologically vulnerable primarily its high long which outweigh moderate capacity. Following closely, temperate conifer forests also exhibit driven despite values. The boreal rank next, with Mediterranean region, although having shows notable influenced lower broadleaf mixed demonstrate relatively owing balanced values, substantial Lastly, grasslands, savannas, shrublands are least vulnerable, benefiting from fastest alongside capacity, collectively reduce overall vulnerability. Furthermore, found is factor wildfires. Conclusions identifies key zones for or national policies prevention post-wildfire regeneration. It offers insights into effective forest management policies, applicable current conditions. Additionally, methods predict future climatic socio-economic trends.

Язык: Английский

Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal DOI Creative Commons
José Manuel Fernández‐Guisuraga, Paulo M. Fernandes

Remote Sensing, Год журнала: 2023, Номер 15(3), С. 768 - 768

Опубликована: Янв. 29, 2023

The wall-to-wall prediction of fuel structural characteristics conducive to high fire severity is essential provide integrated insights for implementing pre-fire management strategies designed mitigate the most harmful ecological effects in fire-prone plant communities. Here, we evaluate potential point cloud density LiDAR data from Portuguese áGiLTerFoRus project characterize surface and canopy structure predict wildfire severity. study area corresponds a pilot flight around 21,000 ha central Portugal intersected by mixed-severity that occurred one month after survey. Fire was assessed through differenced Normalized Burn Ratio (dNBR) index computed pre- post-fire Sentinel-2A Level 2A scenes. In addition continuous data, also categorized (low or high) using appropriate dNBR thresholds communities area. We several metrics related distribution fuels strata with mean 10.9 m−2. Random Forest (RF) algorithm used capacity set accuracy RF regression classification model respectively, remarkably (pseudo-R2 = 0.57 overall 81%) considering only focused on variables loading. highest contribution models were proxies horizontal continuity (fractional cover metric) loads openness up 10 m height (density metrics), indicating increased higher load vertical continuity. Results evidence technical specifications acquisitions framed within enable accurate predictions density.

Язык: Английский

Процитировано

8
Revealing post-megafire spectral and compositional recovery in the Siberian boreal forest using Landsat time series and regression-based unmixing approach DOI

Suri G. Bao,

Wen J. Wang,

Zhihua Liu

и другие.

Remote Sensing of Environment, Год журнала: 2024, Номер 311, С. 114307 - 114307

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

3
Post-Fire Vegetation (Non-)Recovery across the Edges of a Wildfire: An Unexplored Theme DOI Creative Commons
Ivo Rossetti, Giulia Calderisi, Donatella Cogoni

и другие.

Fire, Год журнала: 2024, Номер 7(7), С. 250 - 250

Опубликована: Июль 13, 2024

Wildfires have a significant influence on ecosystems globally, shaping vegetation, biodiversity, landscapes, soil properties, and other ecosystem processes. Despite extensive research different aspects of wildfires, the edges burned areas remain understudied, even though they involve complex dynamics. In this study, we analyzed post-fire vegetation recovery across large wildfire in Mediterranean area. The investigations were focused patches woodlands that, previous showed normalized burn ratio (NBR) decline one year after fire. Field surveys carried out characterized by NBR rates outside area as controls. Five hypotheses tested, identifying delayed tree mortality key factor linked to decline, particularly low-severity fire zones proximity edges. Delayed mortality, observed predominantly near edges, may also affect unburned or less severely within main perimeter, highlighting need for ongoing monitoring. As these play crucial role succession dynamics, understanding second-order effects is imperative effective management. This study underscores importance long-term assessment impacts, emphasizing necessity field alongside remote sensing. Continued observation essential elucidate enduring impacts wildfires facilitate informed restoration strategies.

Язык: Английский

Процитировано

3
Spatiotemporal patterns and drivers of extreme fire severity in Spain for the period 1985–2018 DOI
Albert Alvarez, Judit Lecina‐Diaz, Enric Batllori

и другие.

Agricultural and Forest Meteorology, Год журнала: 2024, Номер 358, С. 110185 - 110185

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

3
Mapping and assessment of ecological vulnerability to wildfires in Europe DOI Creative Commons
Fátima Arrogante‐Funes, Florent Mouillot,

Bruno Moreira

и другие.

Fire Ecology, Год журнала: 2024, Номер 20(1)

Опубликована: Окт. 18, 2024

Abstract Background Wildfires play a significant and complex role in ecosystems, influencing various aspects of their functioning structure. These natural disturbances can positively negatively impact shaping landscapes, nutrient cycles, biodiversity, ecological processes. This study focuses on assessing integrating the different factors that affect vulnerability to wildfires at European scale. Our methodology follows three steps. Firstly, values based biological distinctiveness conservation status were estimated understand pre-fire conditions better. Secondly, we obtain vegetation’s coping capacity (or resistance) impacts fire, considering functional traits plants fire characteristics through extreme scenario. Finally, post-fire recovery time was calculated by species-specific time, starting growth rate, environmental constraints affecting optimal vegetation response. variables combined using dynamic model assumed change value due integrated throughout time. Results results indicate tundra biome emerges as most ecologically vulnerable primarily its high long which outweigh moderate capacity. Following closely, temperate conifer forests also exhibit driven despite values. The boreal rank next, with Mediterranean region, although having shows notable influenced lower broadleaf mixed demonstrate relatively owing balanced values, substantial Lastly, grasslands, savannas, shrublands are least vulnerable, benefiting from fastest alongside capacity, collectively reduce overall vulnerability. Furthermore, found is factor wildfires. Conclusions identifies key zones for or national policies prevention post-wildfire regeneration. It offers insights into effective forest management policies, applicable current conditions. Additionally, methods predict future climatic socio-economic trends.

Язык: Английский

Процитировано

3