José María Iriondo

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.

The paper evaluates artificial selection and assisted gene flow in Lupinus angustifolius to advance flowering onset, finding assisted gene flow more effective under natural conditions.

The paper shows climate, not latitude, drives plant-pollinator specialisation globally, with specialisation peaking at northern mid-latitudes and declining in warmer, more seasonal climates.

This study observes rapid genetic adaptation and population dynamics in Arabidopsis thaliana across diverse climates over 5 years, showing predictable adaptation trends linked to survival and extinction risks.

This study shows blue lupin flowering has advanced over the last 60 years, with fewer vernalization days and higher thermal time, using herbarium and citizen science data.