Historical and future spatially-explicit climate change impacts on mycorrhizal and saprotrophic macrofungal productivity in Mediterranean pine forests

Fungi are responsible for many of the processes that occur in natural ecosystems and largely determine forest ecosystem dynamics, such as ability trees to access limiting nutrients sequester carbon. Understanding predicting climate change impacts on fungal dynamics over large scales is key order gain further insights into effects global functioning related services. In this study, we use predictive models based machine learning algorithms estimate, a spatially explicit way, historical future (1976–2100) evolution mycorrhizal saprotrophic macrofungal productivity Mediterranean areas under scenarios. The greatest changes total productivity, well fungi, predicted subalpine montane pine forests, where estimated decrease, will be more pronounced scenarios with higher expected increase temperature. contrast species, fungi could benefit from their supra- mesomediterranean regions at mid-range elevations. Moreover, has also changed historically some scattered years may have led decrease productivity. This study contributes raising awareness need anticipating potential element functioning, deploying possible management policies oriented toward maintaining important role both mitigation adaptation.