The Impact of Extreme Weather of Agricultural Land Use
Conference
10th International Conference on Agricultural Statistics
Format: CPS Paper - ICAS 2026
Keywords: "spatiotemporal, *normalize, extreme, land, use, weather
Abstract
We develop novel distributional weather measures to examine U.S. agricultural land use adaptation to climate shifts. Using location-specific z-scores and Wasserstein distance to quantify distributional changes between baseline and recent climate normals, we analyze cropland transitions from 2008 to 2024. Results show mean temperature shift captures the primary climate signal nationally, but significant regional heterogeneity exists. These findings suggest conventional analyses relying on mean-based measures may overlook important climate dimensions, particularly where changes in variability or extreme event frequency diverge from central tendency trends.