期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 823, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2022.153807
关键词
Wildfire; Biogeographic regions; Vegetation spectral recovery; Fire severity; Spectral indices
资金
- Italian Ministry of University and Research [D.D. 2261 del 6.9.2018]
- Forest and Food Sciences'
This study provides valuable insights into wildfire severity and post-fire recovery processes in European forests. The analysis reveals geographical differences and interannual variability in fire severity, as well as differential sensitivities of the analyzed remote sensing-spectral metrics. The results also indicate a growing lag in post-fire vegetation recovery across European forests.
Wildfires have large-scale and profound effects on forest ecosystems, and they force burned forest areas toward a wide range of post-fire successional trajectories from simple reduction of ecosystem functions to transitions to other stable non-forest states. Fire disturbances represent a key driver of changes in forest structure and composition due to post -fire succession processes, thus contributing to modify ecosystem resilience to subsequent disturbances. Here, we aimed to provide useful insights into wildfire severity and post-fire recovery processes at the European continental scale, con-tributing to improved description and interpretation of large-scale wildfire spatial patterns and their effects on forest ecosystems in the context of climate change. We analyzed fire severity and short-term post-fire vegetation recovery patterns across the European forests between 2004 and 2015 using Corine Land Cover Forest classes and bioregions, based on MODIS-derived spectral metrics of the relativized burn ratio (RBR), normalized difference vegetation index (NDVI) and relative recovery indicator (RRI). The RBR-based fire severity showed geographic differences and interannual variability in the Boreal bioregion com-pared to that in other biogeographic regions. The NBR-based RRI showed a slower post-fire vegetation recovery rate with respect to the NDVI, highlighting the differential sensitivities of the analyzed remote sensing-spectral metrics. Moreover, the RRI showed a significant decreasing trend during the observation period, suggesting a growing lag in post-fire vegetation recovery across European forests.
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