## 3 Results
### Pesticide Use
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multicolumn{1}{c}{**Model**} & \multicolumn{1}{c}{**Scenario**} & \multicolumn{1}{c}{**Projected Period**} & \multicolumn{2}{c}{
\begin{tabular}{c} **Historical vs. CanESM2** \\ **F-Statistics** \\ \end{tabular} } \\ \hline \multirow{10}{*}{**CenESM2**} & \multirow{4}{*}{RCP2.6} & PP1 & \(1.19\times 10^{2}\) & \(1.05\times 10^{-25}\) \\  & & PP2 & \(1.17\times 10^{2}\) & \(2.72\times 10^{-25}\) \\  & & PP3 & \(9.33\times 10^{1}\) & \(8.77\times 10^{-21}\) \\  & & Total & \(1.10\times 10^{2}\) & \(6.34\times 10^{-24}\) \\ \cline{2-5}  & & PP1 & \(1.09\times 10^{2}\) & \(1.03\times 10^{-23}\) \\  & & PP2 & \(1.43\times 10^{2}\) & \(5.74\times 10^{-30}\) \\  & & PP3 & \(1.41\times 10^{2}\) & \(1.10\times 10^{-29}\) \\  & & Total & \(1.31\times 10^{2}\) & \(8.74\times 10^{-28}\) \\ \cline{2-5}  & & PP1 & \(1.09\times 10^{2}\) & \(1.06\times 10^{-23}\) \\  & & PP2 & \(1.50\times 10^{2}\) & \(2.21\times 10^{-31}\) \\  & & PP3 & \(1.46\times 10^{2}\) & \(1.52\times 10^{-30}\) \\  & & Total & \(1.35\times 10^{2}\) & \(1.64\times 10^{-28}\) \\ \hline \multirow{10}{*}{**CenESM2**} & \multirow{4}{*}{RCP2.6} & PP1 & \(1.43\times 10^{2}\) & \(4.08\times 10^{-30}\) \\  & & PP2 & \(1.04\times 10^{2}\) & \(9.01\times 10^{-23}\) \\  & & PP3 & \(1.31\times 10^{2}\) & \(8.58\times 10^{-28}\) \\  & & Total & \(1.26\times 10^{2}\) & \(6.83\times 10^{-27}\) \\ \cline{2-5}  & & PP1 & \(1.45\times 10^{2}\) & \(2.36\times 10^{-30}\) \\  & & PP2 & \(1.49\times 10^{2}\) & \(3.51\times 10^{-31}\) \\  & & PP3 & \(1.48\times 10^{2}\) & \(5.56\times 10^{-31}\) \\  & & Total & \(1.47\times 10^{2}\) & \(7.44\times 10^{-31}\) \\ \cline{2-5}  & & PP1 & \(1.28\times 10^{2}\) & \(2.87\times 10^{-27}\) \\  & & PP2 & \(1.48\times 10^{2}\) & \(5.72\times 10^{-31}\) \\  & & PP3 & \(1.54\times 10^{2}\) & \(4.07\times 10^{-32}\) \\  & & Total & \(1.44\times 10^{2}\) & \(3.78\times 10^{-30}\) \\ \hline \multirow{10}{*}{**CenESM2**} & \multirow{4}{*}{RCP2.6} & PP1 & \(7.13\times 10^{2}\) & \(1.82\times 10^{-16}\) \\  & & PP2 & \(2.37\times 10^{2}\) & \(1.40\times 10^{-6}\) \\  & & PP3 & \(2.57\times 10^{2}\) & \(2.69\times 10^{-49}\) \\  & & Total & \(5.36\times 10^{2}\) & \(7.00\times 10^{-13}\) \\ \cline{2-5}  & & PP1 & \(1.79\times 10^{2}\) & \(1.84\times 10^{-36}\) \\  & & PP2 & \(5.27\times 10^{2}\) & \(2.20\times 10^{-2}\) \\  & & PP3 & \(5.94\) & \(1.50\times 10^{-2}\) \\  & & Total & \(4.72\times 10^{1}\) & \(1.47\times 10^{-11}\) \\ \cline{2-5}  & & PP1 & \(4.72\times 10^{1}\) & \(1.46\times 10^{-11}\) \\  & & PP2 & \(7.40\times 10^{-1}\) & \(3.90\times 10^{-1}\) \\  & & PP3 & \(1.38\times 10^{1}\) & \(2.23\times 10^{-4}\) \\  & & Total & \(1.94\times 10^{1}\) & \(1.26\times 10^{-5}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Results of the ANOVA analysis comparing historical pesticide usage data with climate projections from the CanESM2 and CanESM5 models across various scenarios and projected periods. area, with the most significant relative difference observed in the north and some parts of the east of the study area. A comparison of the relative differences between historical pesticide use and the projected use based on both models reveals that the average value of this index for CanESM2 is 724%, while for CanESM5, it stands at 391%. Comparison of the CanESM2 (scenarios RCP4.5) and CanESM5 (Scenario SSP2-4.5) for the PP1 reveals that the range depicted in the maps for both figures shows that there is no significant difference between the minimum and maximum values of the RD calculated by two models. However, the difference in calculated RD values between the two models varies by location. In the southwest and south of the study area, the calculated RD based on the projected pesticide use by CanESM2 is higher than CanESM5, with up to a 300% difference. In other locations, the RD values do not show a consistent trend; in various parts of the study area, the RD value for CanESM2 is sometimes higher than that of CanESM5, and at other times, it is the other way around.