Benjamin Kellenberger

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.

The Performance and Potential of Deep Learning for Predicting Species Distributions

This study evaluates deep learning models for species distribution prediction, finding they match but do not surpass traditional methods, with performance issues for threatened species and data leakage concerns.