Assistant Professor Hongli Feng published in the most recent issue of Scientific Reports. Feng co-authored the article "Assessing systematic biases in farmers’ local weather change perceptions" with Gaurav Arora of Indraprastha Institute of Information Technology.

The article employs spatially-delineated primary surveys to evaluate weather perception biases among corn and soybean farmers located on western frontier of the U.S. Corn Belt where substantial loss of grassland has been documented. The authors find that about 70% farmers in the sample misperceive past weather changes---three-fourths of these misperceiving farmers over-estimate local temperatures and drought frequency and 40% of them under-estimate precipitation trends relative to past records.

Assessing systematic biases in farmers’ local weather change perceptions
Gaurav Arora and Hongli Feng
Scientific Reports 14:26641
doi: 10.1038/s41598-024-76327-8