The eiLab carried out a novel study to identify how drought vulnerability is shifting across Europe and to develop more effective diagnostic tools for climate risk management. Drought is a complex hazard, yet conventional indices often fail to capture its actual socio-economic and ecological consequences. Since different regions respond differently to water scarcity, understanding the specific “impact-drivers” is crucial for effective adaptation. Impact-based diagnostics are essential to bridge the gap between meteorological events and actual damage to ecosystems and agriculture.

In the study published in Environmental Research Letters, the authors developed impact-based combined drought indices (iCDIs) using machine learning to relate hydroclimatic drivers directly to remotely sensed vegetation stress. The comprehensive analysis identified 1) the specific hydroclimatic variables that trigger vegetation anomalies in different European macro-regions, 2) a distinct northward shift in drought risk under warming scenarios, with Central Europe emerging as an increasingly vulnerable hotspot, and 3) the buffering role of water infrastructure in Mediterranean regions, which often decouples vegetation stress from immediate precipitation deficits.
The study outlines a novel “bottom-up” framework to help researchers and decision-makers prioritize adaptation actions and improve the reliability of drought monitoring systems in a changing climate.

The paper is available here: https://iopscience.iop.org/article/10.1088/1748-9326/ae4ca7