An Open Letter to U.S. STEM Leadership on the NSF Graduate Research Fellowship Program

Causal approaches employed at the scale of commercial agriculture are required to build high-quality evidence that climate-smart agricultural interventions result in real emissions reductions and removals. Such project-scale empirical data are additionally required to demonstrate and advance the viability of process-based models and digital measurement, reporting and verification as tools to scale soil carbon accounting.

One of the goals of controversial wolf hunts in the Western U.S. is to help reduce the burden on ranchers, who lose livestock to wolves every year. A new study finds that those hunts have had a measurable, but small effect on livestock depredations.

Accurately attributing ecological shifts to climate change remains a significant challenge. Here, we present an accessible causal inference framework designed for climate change attribution in observ...