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Article

Environmental Controls of Post-Fire Vegetation Recovery: A Multi-Event Analysis Across 45 Wildfires in Greece

by
Kyriakos Chaleplis
1,*,
Avery Walters
2,
Venkataraman Lakshmi
2 and
Alexandra Gemitzi
1
1
Department of Environmental Engineering, Democritus University of Thrace, V. Sofias 12, 67100 Xanthi, Greece
2
Department of Civil and Environmental Engineering, University of Virginia, 151 Engineers Way, Charlottesville, WV 22904, USA
*
Author to whom correspondence should be addressed.
Land 2026, 15(6), 1093; https://doi.org/10.3390/land15061093 (registering DOI)
Submission received: 12 May 2026 / Revised: 5 June 2026 / Accepted: 18 June 2026 / Published: 20 June 2026

Abstract

Wildfires are a major ecological disturbance in Mediterranean ecosystems, affecting vegetation dynamics and landscape resilience. However, the relative importance of environmental factors controlling post-fire vegetation recovery remains insufficiently quantified at regional scales. This study investigates the drivers of vegetation regeneration following 45 large wildfires (>1000 ha) that occurred across Greece between 2017 and 2023. Vegetation recovery was assessed using Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series, while environmental predictors included burn severity metrics, soil moisture at four depth layers derived from the European Centre for Medium-Range Weather Forecasts Reanalysis 5-Land (ERA5-Land) climate reanalysis dataset, terrain characteristics (slope and aspect), land cover, and time since fire. All variables were harmonized at the fire-perimeter scale and analyzed using two complementary modeling approaches: multiple linear regression and artificial neural network (ANN) modeling. The linear regression model explained approximately 38% of the variability in vegetation recovery (R2 = 0.38), while the ANN showed improved predictive performance, indicating the presence of complex relationships among predictors. Across the applied modeling approaches, burn severity, topographic conditions, and soil moisture emerged as important drivers of post-fire vegetation recovery. In particular, Soil Moisture Layer 1 (SM1) showed the strongest positive association with NDVI recovery, followed by Soil Moisture Layer 4 (SM4), highlighting the importance of water availability for vegetation regeneration under post-fire conditions. Overall, the results confirm that vegetation recovery is strongly controlled by environmental conditions rather than time alone. The findings contribute to a better understanding of post-fire ecosystem dynamics in Mediterranean landscapes and provide a useful framework for supporting wildfire management and restoration planning.
Keywords: wildfire recovery; remote sensing; post-fire regeneration; vegetation resilience; hydroclimatic variability; environmental drivers wildfire recovery; remote sensing; post-fire regeneration; vegetation resilience; hydroclimatic variability; environmental drivers

Share and Cite

MDPI and ACS Style

Chaleplis, K.; Walters, A.; Lakshmi, V.; Gemitzi, A. Environmental Controls of Post-Fire Vegetation Recovery: A Multi-Event Analysis Across 45 Wildfires in Greece. Land 2026, 15, 1093. https://doi.org/10.3390/land15061093

AMA Style

Chaleplis K, Walters A, Lakshmi V, Gemitzi A. Environmental Controls of Post-Fire Vegetation Recovery: A Multi-Event Analysis Across 45 Wildfires in Greece. Land. 2026; 15(6):1093. https://doi.org/10.3390/land15061093

Chicago/Turabian Style

Chaleplis, Kyriakos, Avery Walters, Venkataraman Lakshmi, and Alexandra Gemitzi. 2026. "Environmental Controls of Post-Fire Vegetation Recovery: A Multi-Event Analysis Across 45 Wildfires in Greece" Land 15, no. 6: 1093. https://doi.org/10.3390/land15061093

APA Style

Chaleplis, K., Walters, A., Lakshmi, V., & Gemitzi, A. (2026). Environmental Controls of Post-Fire Vegetation Recovery: A Multi-Event Analysis Across 45 Wildfires in Greece. Land, 15(6), 1093. https://doi.org/10.3390/land15061093

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