Abstract:Based on the developed chronology of Pinus tabuliformis width at Yao Mountain, the relationship between radial growth and climatic factors such as temperature and precipitation as well as the correlation between tree growth and mean maximum temperature before and after temperature rise were analyzed. The results showed that mean maximum temperature in April-July, with r=-0.64 (P<0.05), was the main limiting factor for the radial growth of P. tabuliformis in the region. Under the influence of climate warming, the chronology was significantly positively correlated with the mean maximum temperature in September and October and was significantly positively correlated with precipitation in February and March. The correlation with the mean maximum temperature from April to July was relatively stable. Based on this, the mean maximum temperature from April to July at the Yao Mountain was reconstructed. The variance of the reconstruction equation was explained by 40% (38.9% after adjusting for the degrees of freedom). During the past 216 years of high temperature reconstruction history, this area has experienced six warmer periods: 1801-1825, 1845-1853, 1876-1889, 1922-1944, 1957-1975, and 1996-2013 and five colder periods: 1826-1844, 1854-1875, 1890-1921, 1945-1956, and 1978-1995. These results were similar to the May-July maximum temperature reconstruction at Longchiman in Funiu Mountain. The spectral analysis found that 2-4 years (ENSO cycle) and 35.23-48.47 years were the main periods of temperature change at Yao Mountain and the wavelet analysis showed that the climate changed from a long cycle to a short cycle around 1920. Spatial correlation analysis indicated that the reconstructed maximum temperature was representative of the temperature variation in the eastern Henan plain area and a high positive correlation with temperature over 850 hPa of the North Pacific subtropical high showed that the maximum temperature fluctuations in the eastern Henan might be related to the North Pacific sea-atmosphere oscillation. These results provide basic reference data for forest management in mountain areas and agricultural production in plain areas.