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<p>The continuous intensification of human activities has led to a rise in global surface temperatures. However, understanding long-term climate variations and their driving mechanisms in the Changbai Mountains in Northeast China is hindered by the limited duration of observation data and climate reconstructions, especially in the absence of reconstructions using latewood blue intensity. To address this, we constructed a 239-year-long latewood blue intensity chronology of <i>Picea jezoensis</i>. Correlation analysis resulted in a correlation coefficient of 0.648 between the latewood blue intensity of tree-rings and monthly mean temperatures recorded at ChangbaiMeteorological Station during May to September. The reconstruction accounts for 42% of the variance in the observed values, and it indicates an average reconstructed temperature of 15.4&#xa0;°C. Since 2010, temperatures in this region have surpassed historical averages. Spectral and composite analyses indicated that the Atlantic Multidecadal Oscillation (AMO) is a primary factor influencing temperature variability, with higher temperatures occurred during the positive phase and lower temperatures during the negative phase.</p>

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A 239-year reconstruction of May-to-September mean temperature in the Changbai Mountains, Northeast China, derived from the tree-ring latewood blue intensity of Picea jezoensis

  • 期刊论文

  • 发表日期：

    2026年3月24日

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  • Zhe Chen,
  • Heli Zhang,
  • Feng Chen,
  • Youping Chen,
  • Tiyuan Hou,
  • Jiachang Wei,
  • Shijie Wang,
  • Mao Hu,
  • Honghua Cao

摘要

The continuous intensification of human activities has led to a rise in global surface temperatures. However, understanding long-term climate variations and their driving mechanisms in the Changbai Mountains in Northeast China is hindered by the limited duration of observation data and climate reconstructions, especially in the absence of reconstructions using latewood blue intensity. To address this, we constructed a 239-year-long latewood blue intensity chronology of Picea jezoensis. Correlation analysis resulted in a correlation coefficient of 0.648 between the latewood blue intensity of tree-rings and monthly mean temperatures recorded at ChangbaiMeteorological Station during May to September. The reconstruction accounts for 42% of the variance in the observed values, and it indicates an average reconstructed temperature of 15.4 °C. Since 2010, temperatures in this region have surpassed historical averages. Spectral and composite analyses indicated that the Atlantic Multidecadal Oscillation (AMO) is a primary factor influencing temperature variability, with higher temperatures occurred during the positive phase and lower temperatures during the negative phase.