Summary of LMM results analyzing the influence of temperature anomaly on the overall earliest arrival day of Empoasca fabae in the United States during 1951–2012.

For each LMM, temperature anomaly was calculated differently as averages based on distributional range and seasons (see methods for details on overwintering and target states). Models are arranged in increasing values of AIC and BIC (Akaike information and Bayesian information criteria respectively).Summary of LMM results analyzing the influence of temperature anomaly on the overall earliest arrival day of Empoasca fabae in the United States during 1951–2012.