A linear regression analysis was conducted to examine the relationships between the number of spring frost events in the ISF areas and temperature anomaly. The analysis, illustrated in Figure 2, revealed a significant strengthening of the correlation between these variables over time. The coefficient of determination of regression (R2) values for the period 1948-1982 were lower than those for the period 1983-2016, suggesting that the correlation became stronger as global temperatures rose. This observation is further supported by comparing Figures 2A, B, C (representing the 1948-1982 period) with Figures 2D, E, F (representing the 1983-2016 period), where a stronger correlation is evident in the latter period.

Further analysis revealed non-significant results (p > 0.05) for the regression except for April during the 1948-1982 period. However, in the 1983-2016 period, the regression analysis showed significant results (p < 0.05) for all three months. This indicates a positive correlation between temperature anomaly and the number of spring frost events, and this correlation has strengthened in the more recent period.

These findings highlight the potential impact of climate change and rising global temperatures on the occurrence of spring frost events in the ISF areas. The strengthening correlation between temperature anomaly and spring frost events in the more recent period suggests that climate change may be contributing to an increased occurrence of these events. Future research could further investigate the specific mechanisms behind this correlation and explore the potential implications for the ISF areas and beyond.

Increased Correlation Between Spring Frost Events and Temperature Anomaly in ISF Areas: A Study of 1948-2016

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