María Luisa Rubio Teso

Future-proofing agrobiodiversity: climate and niche-aware conservation planning using reinforcement learning.

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.

Detecting Phenotypic Variability in Lupinus angustifolius Through Ecogeographic Land Characterization

The paper uses Ecogeographical Land Characterization maps to classify Lupinus angustifolius accessions into ecological regions, capturing moderate phenotypic variation across the Iberian Peninsula.

Evidence of flowering time advance in blue lupin (Lupinus angustifolius) in the last decades revealed by herbarium data and citizen science databases

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.