This study modeled wild edible mushroom yields in Mediterranean forests using Planet satellite imagery, LiDAR, climate data, and field measurements. Results show that seasonal NDVI differences, precipitation, and forest structure are key predictors. Integrating high-resolution intra-annual remote sensing significantly improves yield prediction and ecological understanding.

This study examines how early competition influences growth and structure in young mixed forests. Results show that competition strongly affects height, biomass allocation, and species interactions. Managing competition early is crucial for maintaining diversity, reducing dominance, and building climate-resilient forests, making early interventions more effective and cost-efficient.