New publication from the LICCI team!

“A collaborative approach to bring insights from local observations of climate change impacts into global climate change research”

Distribution of world meteorological stations based on the CRUTEM.4.6.0.0 dataset and locations of the reviewed case studies along with the main climates according to the Koeppen–Geiger classification.

Based on a review of research on place-based observations of climate change impacts, in this paper the LICCI team explores the challenges and potentials of bringing insights from indigenous and local knowledge (ILK) into climate research. Specifically, we explore the transferability, integration, and scalability of ILK, and conclude that despite the untapped potential of ILK as data source, there are important geographical gaps and insufficient coordinating efforts to reach that potential. We suggest creating a community of practice as a necessary step to bring place-based climate knowledge into climate change research and policy agendas.

Open access: https://www.sciencedirect.com/science/article/pii/S1877343518301295?via%3Dihub

Check the LICCI-classification tree!