We present a novel predictive variance partitioning and scenario framework for drivers of species and communities. By addressing data gaps and incorporating climatic conditions, habitat, and species ...

Aim To test whether spatial trait–temperature relationships predicted by ecogeographic rules (Bergmann's rule and the thermal melanism hypothesis) can be used as space-for-time substitutions to anti...

In recent years, the increase in data availability through citizen science data collection has raised questions about the quality of this data. Specie…

A study led by the University of Helsinki highlights the need to include both climate and habitat changes when assessing the state of biodiversity in Finland and globally.

YouTube video by REC - Research Centre for Ecological Change