By pairing disease data with counterfactual climates (without human forcing), researchers ask how disease would differ in a world without warming.
Distinguishing association, projection, and attribution is vital for climate-disease science.

By pairing disease data with counterfactual climates (without human forcing), researchers ask how disease would differ in a world without warming.
Distinguishing association, projection, and attribution is vital for climate-disease science.
Great work by my PhD candidate Gracie Hedgpeth at ND-LEEF Science Sunday! 🐸
Bringing freshwater ecology out of the lab and teaching our community how to identify local amphibian species is a core part of what we do at @rohrecologylab.bsky.social.
Cornell University (@cornelluniversity.bsky.social) is hiring:
Research Associate in Plowright Laboratory
Cornell University (@cornelluniversity.bsky.social) is hiring:
Research Scientist in Disease Ecology and Ecological Immunology
This #ProcB study draws on 200 years of work by ZSL to highlight the links between wildlife health, welfare, conservation, surveillance and policy doi.org/10.1098/rspb... | #WildlifeHealth #DiseaseEcology #Conservation #OneHealth