Huge thanks to @nbuchmann.bsky.social, @tommaso-jucker.bsky.social, Luca Belelli Marchesini, Michele Dalponte, Michele Scotton, Loris vescovo, and Damiano Gianelle —couldn't have done this without you!

At higher elevations, some species had unusually green canopies in response to the heatwave suggesting they benefitted from warmer conditions.

🥵 The hot drought had its largest impact on Quercus ilex L. forests growing at low elevations: there was a clear decrease in canopy greenness from July onwards in 2022, but no residual impacts were observed the following years.

🥶 The effects of 2019 frost affected the canopy spectral response and phenology of Fagus sylvatica L. in areas around 1000 m a.s.l.. There, trees had developed buds and some juvenile leaves when frost occurred, resulting in the wilting or dropping of the earliest leaves but no lasting impacts.

Forest parcels dominated by ≥70% of a single species were classified using regional inventory data, enabling species-specific analysis at 10 m spatial resolution.

We analyzed NDVI time series (2018–2024) from Sentinel-2 imagery across 3000 km² of Alpine forests in Trentino, Italy, examining canopy responses of 16 tree species to two extreme climatic events: a late spring frost in May 2019 and a hot drought in July 2022.

with Michele Dalponte, @janawicklein.bsky.social @francesco-pirotti.bsky.social, Harin Aiyanna Cheriyanda Raveendra

This was our first dive into correlative methods for species distribution modelling. I loved this research area, which nicely integrates species ecology with spatial data analysis and predictive modeling. Congrats to Damiano Oberosler!