Antoine Guisan

The paper compares the distribution predictors of glacial specialist and generalist plant species in Switzerland using Species Distribution Models and finds bioclimatic variables strongly predict specialists, while topographic and lithological variables predict generalists more strongly.

This paper develops a reinforcement learning framework for conservation planning that accounts for climate-driven range shifts and niche coverage, improving conservation priorities for European crop wild relatives.

This study examines how glacier retreat affects plant functional diversity by analyzing a 140-year chronosequence, finding shifts in functional richness, dispersion, evenness, and divergence.

The paper develops spatial biodiversity indicators and a composite index for conservation planning in Switzerland using habitat suitability data across 17 taxonomic groups and 7,500 species.

This paper synthesizes research on biodiversity in mountain soils above the treeline, highlighting gaps in geographic and taxonomic coverage and the need for improved data to support conservation efforts.

This paper integrates citizen science data with scientific sampling to model ant community richness, diversity, and abundance across elevation gradients.

The paper examines how environmental factors influence butterfly species richness and composition, finding that generalists are driven by climate variables while specialists depend on habitat and plant diversity.