Robin Zbinden

Multi-scale neural networks enhance species distribution modelling across predictors and taxonomic groups

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.

Migrating in a warming world: A deep learning approach to predict pan-American seasonal shifts in the monarch butterfly niche

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.