Assessing Climate Impacts on Biodiversity

A cross-disciplinary working group to improve scientific inference based on imperfect data

This project brings together experts from across UCL and beyond to address the urgent challenge of understanding biodiversity change under climate stress. Through two structured workshops, the team will explore how to improve scientific inference using limited and often biased ecological and climate datasets. The project focuses on integrating model- and design-based approaches, identifying underused statistical methods, and enhancing reproducibility in biodiversity research. Key questions include how to handle nonprobability samples, scale mismatches in climate data, and causal inference under uncertainty.

The initiative aims to produce best-practice guidance and peer-reviewed outputs that inform national and international policy. By fostering new collaborations across disciplines, the project lays the foundation for long-term research partnerships and more effective use of existing data to address biodiversity loss in a rapidly changing world.