Chiara Vanalli

This study evaluates multi-scale deep learning models for species distribution, showing improved performance and reduced sensitivity to scale selection across plant and animal species.

This study develops a time-aware deep learning model to predict seasonal shifts in the monarch butterfly's niche under climate change, finding a northwestward range shift and contraction in key overwintering sites.

The paper analyzes the spread of H5N1 avian influenza in North America, identifying seasonal patterns and a phase transition linked to mammalian cases and regional viral amplification.

This study models how diet affects viral shedding and spillover risk in Jamaican fruit bats infected with H18N11, finding diet-dependent interactions between citrulline and TNF influence shedding and transmission.

This study examines how climate change will shift the ecological niches of Prunus species by analyzing phenological models and their response to changing climatic conditions.

The paper projects yield losses in peach production under climate change scenarios and evaluates adaptation strategies to maintain national yield.

The paper develops a metapopulation model integrating landscape factors to predict airborne pathogen spread in peach orchards, identifying high-risk areas along the Rhone Valley.

The paper models how climate change affects helminth infection hazard by developing a temperature- and humidity-dependent model based on experimental data from nine trichostrongylid species.