Context Recent shifts in fire regimes challenge recovery of forest ecosystems. In Catalonia, Spain, the capacity of Pinus nigra to persist has been affected by recent high severity fires. Objectives To understand the biophysical conditions that support P. nigra recovery after high severity fire, we investigate the main biophysical drivers—seed availability, community interactions, water, and nutritional constraints—affecting post-fire regeneration patterns in Catalonia. Methods We identified fire refugia and calculated the distance-weighted refugia density (DWD) across four fire footprints to …

Wildfires pose an increasing threat to society, requiring appropriate approaches to understand the components of risk to design effective mitigation strategies. Under this premise, we present a comprehensive methodology to assess the probability of ignition of human-caused wildfires, one of the key drivers of risk. Our approach combines historical ignition records of fires larger than 5 ha (849 ignitions during 1998–2016) in eastern Spain and geospatial information regarding ignition variables. The method leverages the Random Forest algorithm to train a spatially-explicit model of ignition …

Wildfires are particularly prevalent in the Mediterranean, being expected to increase in frequency due to the expected increase in regional temperatures and decrease in precipitation. Effectively suppressing large wildfires requires a thorough understanding of containment opportunities across landscapes, to which empirical spatial modelling can contribute largely. The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. We employed …

In recent years, the EU Commission has enacted various firefighting policies to combat and diminish the adverse effects of wildfires. The Mediterranean area has experienced an observable extension of its wildfire season, coupled with rapid shifts in fire-weather dynamics, resulting in exceptionally severe wildfire occurrences. As of 2022, the EU has recorded an approximate total burned area of 792,902 hectares, with forests accounting for 66% of this figure (Rodrigues et al., 2023). The main objective of this study is to anticipate extreme wildfire conditions by providing a synthetic product …

In this work we showcase the in-progress results from the FirePATHS project (PID2020-116556RA-I00). The project aims to assess the evolution of fire danger under different emission and forest management scenarios through the explicit interaction of the climate-vegetation-fire system. For this purpose, a methodological framework combining different simulation models of the elements of this system is proposed. The core of the process lies in the modeling of vegetation dynamics at stand scale according to different trajectories of climatic evolution to characterize the state and typology of fuels …

Link to radio program Newspaper interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

Link to newspaper interview Newspaper interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

TV interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

Link to documentary TV documentary about socioeconomical model of Pyrenees related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

Link to newspaper interview Newspaper interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

TV interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

Link to radio program Radio interview related to the article: Gelabert, P., M. Rodrigues, J.J. Vidal-Macua, A. Ameztegui, and C. Vega-Garcia. 2022. Spatially Explicit Modeling of the Probability of Land Abandonment in the Spanish Pyrenees.

TV interview related to the article: Gelabert, P., M. Rodrigues, J. de la Riva, A. Ameztegui, M.T. Sebastià, and C. Vega-Garcia. 2021. LandTrendr Smoothed Spectral Profiles Enhance Woody Encroachment Monitoring.