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Chinese Journal of Applied Ecology ›› 2022, Vol. 33 ›› Issue (9): 2347-2355.doi: 10.13287/j.1001-9332.202209.005

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Reconstructing mean temperature of April-July in 1809-2018 based on tree-ring of Pinus taiwanensis in the Tianmu Mountain, East China

XU Jia-rui1, WANG Hui1, ZHAO Ming-shui2, SHI Shi-yuan1, ZHANG Ya-ping1, SHI Jiang-feng1*   

  1. 1School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China;
    2Management Bureau of Tianmu Mountain National Nature Reserve, Lin’an 311311, Zhejiang, China
  • Received:2022-01-18 Accepted:2022-06-13 Online:2022-09-15 Published:2023-03-15

Abstract: We established 340-year chronologies of total ring width, early wood width, and late wood width with tree-ring samples of Pinus taiwanensis at high altitude collected from the western Tianmu Mountain in northern Zhejiang Province. According to the criterion that subsample signal strength (SSS) should be larger than 0.8, the reliable period was from 1810 to 2019. Through the correlation analysis between chronologies and climatic factors, we examined the responses of tree ring growth to climate. The results showed that radial growth of P. taiwanensis was more sensitive to temperature than to precipitation. Comprehensively considering the correlation analysis results for the raw and first-order difference series, early wood width was significantly correlated with the early growing season mean and maximum temperatures of the prior year, while late wood width with prior May and current September mean and maximum temperatures. The correlation pattern of total ring width was similar to that of early wood width, although at a low level. The optimal correlation was between early wood width and prior April-July mean temperature. Based on this relationship, April-July mean temperature of the Tianmu Mountain, East China was reconstructed for the period of 1809-2018 with an explained variance of 61.5%. Both the raw and first-order difference series passed the split sample calibration-verification test. The warm periods were 1809-1833 and 1965-2018, with a cold period in 1834-1964. Temperature had risen rapidly since the 1960s. From the standpoint of low frequency, it reached an unprecedented level since the 1980s over the past 210 years. Spatial correlation analysis showed that the reconstructed temperature series could represent temperature variations of East China, which had a good agreement with a reconstructed regional temperature series from East China. Our results showed that P. taiwanensis had a great potential for paleoclimate reconstruction in East China.

Key words: Pinus taiwanensis, early wood width, late wood width, air temperature