Unveiling short-term variability in post-fire recovery of Mediterranean vegetation with Sentinel-2 time series analysis

Forest fires are a frequent disturbance in the Mediterranean Basin, and native vegetation has evolved adaptations to them. However, climate-driven changes in fire regime increase the need to monitor post-fire recovery, especially under large, high-severity events, shifts in climate, and repeated burning. Post-fire vegetation dynamics using Sentinel-2 Normalized Burn Ratio (NBR) time series were analyzed in four common Mediterranean forest and shrubland types (~4500 ha burned in six 2017 summer wildfires in Sicily). Using TIMESAT, phenology metrics were extracted from NBR and recovery for up to 76 months (Aug 2017-Dec 2023) post-fire was tracked. High-resolution Google Earth imagery supported physiognomic classification, while Random Forest models assessed the influence of burn severity, climate, reburning, and topography. Mediterranean maquis showed the fastest recovery, reaching pre-fire NBR values within 4, 6, and 8 months under low, moderate, and high severity, respectively. By contrast, conifer reforestations recovered poorly, rarely returning to pre-fire levels even at low severity, a pattern confirmed by analysis of Google Earth imagery. Results from Random Forest models highlighted pre-fire conditions among the top predictors for all vegetation types. Fire severity strongly influenced Quercus ilex forests and maquis, whereas climate variables were more significant for Eucalyptus spp. plantations and conifers. Reburning and topography were less influential. Overall, Mediterranean maquis was the most resilient, while conifer reforestations were the least. These findings stress the importance of monitoring systems to guide land management, identify areas with poor recovery, and detect ongoing ecosystem degradation. • Open-access, multi-source approach was used to investigate post-fire phenology. • Random Forest models were used to assess influence of several factors on recovery. • Mediterranean maquis showed the fastest recovery, conifers the poorest. • Pre-fire conditions, fire severity and climate influenced recovery the most. • Reburning and topography were less influential on short-term recovery.

Authors

Institutions

Publication Details

Journal
Ecological Informatics
Published
2025-11-05
DOI
https://doi.org/10.1016/j.ecoinf.2025.103508
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling short-term variability in post-fire recovery of Mediterranean vegetation with Sentinel-2 time series analysis

Anna Barbati, Mulatu Mengist, Chiara Zabeo, Olakunle Joshua Ogunyemi
Ecological Informatics
Fire effects on ecosystems
article

Unveiling short-term variability in post-fire recovery of Mediterranean vegetation with Sentinel-2 time series analysis

Anna Barbati, Mulatu Mengist, Chiara Zabeo, Olakunle Joshua Ogunyemi
article en

Abstract

Forest fires are a frequent disturbance in the Mediterranean Basin, and native vegetation has evolved adaptations to them. However, climate-driven changes in fire regime increase the need to monitor post-fire recovery, especially under large, high-severity events, shifts in climate, and repeated burning. Post-fire vegetation dynamics using Sentinel-2 Normalized Burn Ratio (NBR) time series were analyzed in four common Mediterranean forest and shrubland types (~4500 ha burned in six 2017 summer wildfires in Sicily). Using TIMESAT, phenology metrics were extracted from NBR and recovery for up to 76 months (Aug 2017-Dec 2023) post-fire was tracked. High-resolution Google Earth imagery supported physiognomic classification, while Random Forest models assessed the influence of burn severity, climate, reburning, and topography. Mediterranean maquis showed the fastest recovery, reaching pre-fire NBR values within 4, 6, and 8 months under low, moderate, and high severity, respectively. By contrast, conifer reforestations recovered poorly, rarely returning to pre-fire levels even at low severity, a pattern confirmed by analysis of Google Earth imagery. Results from Random Forest models highlighted pre-fire conditions among the top predictors for all vegetation types. Fire severity strongly influenced Quercus ilex forests and maquis, whereas climate variables were more significant for Eucalyptus spp. plantations and conifers. Reburning and topography were less influential. Overall, Mediterranean maquis was the most resilient, while conifer reforestations were the least. These findings stress the importance of monitoring systems to guide land management, identify areas with poor recovery, and detect ongoing ecosystem degradation. • Open-access, multi-source approach was used to investigate post-fire phenology. • Random Forest models were used to assess influence of several factors on recovery. • Mediterranean maquis showed the fastest recovery, conifers the poorest. • Pre-fire conditions, fire severity and climate influenced recovery the most. • Reburning and topography were less influential on short-term recovery.

Ecological InformaticsVol. 92
Università degli Studi della Tuscia (IT)
Openalex Percentile: Top 70%
Fire effects on ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.