Future-proofing agrobiodiversity: climate and niche-aware conservation planning using reinforcement learning.
Luca Bütikofer, Daniele Silvestro, María Luisa Rubio Teso, Ada Molina, Carlos Lara‐Romero, Raúl García‐Valdés, Olivier Broennimann, José María Iriondo, Antoine Guisan, Blaise Petitpierre, Sylvain Aubry
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.
bioRxiv · May 7, 2026 · PreprintEcology