Author

Blaise Petitpierre

University of LausanneORCID 0000-0002-3087-3422Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:plant (other)· 1

Frequent Co-Authors

Ada Molina· 1 shared Antoine GuisaniD· 1 shared Carlos Lara‐RomeroiD· 1 shared Daniele SilvestroiD· 1 shared José María IriondoiD· 1 shared Luca BütikoferiD· 1 shared María Luisa Rubio TesoiD· 1 shared Olivier BroennimanniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEcology

Ada Molina

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1 paper

Recent·Most cited

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