Opening a path to predict mushroom yields in Mediterranean pine forests

In a recent study led by José Miguel Olano, we have found that mushroom yields in Mediterranean pine forests not only depend on autumn rainfall, but also on primary productivity of the previous year. This relation has been discovered thanks to the use of NDVI (Normalized Difference Vegetation Index) remote sensing data combined with 24-year time series of mushroom production. The study, framed in our project about remote sensing to track and predict global change impacts on forest services, opens a path to develop future models of mushroom yields.

Check the news in La Vanguardia, Heraldo-Diario de Soria and El Correo de Burgos, and the interview to José Miguel Olano in Heraldo-Diario de Soria (in Spanish)