This research improves flood prediction by analysing data from more than 3,000 rivers worldwide and using local fitting techniques to compare similar weather events. By relying on relevant historical data rather than human intuition, the model aims to produce more accurate flood forecasts and strengthen disaster preparedness under climate change.

This research investigates whether a population of southern African skinks represents a distinct species using genetic and geographic data. Findings suggest river barriers and environmental gradients may drive speciation. By combining phylogenetics and ecological modeling, the study explores how landscape and climate shape biodiversity and species divergence in lizard populations.