Volume contents
Clim Res 41:169-175 (2010)

Tree-ring based winter temperature reconstruction for the lower reaches of the Yangtze River in southeast China

ABSTRACT: Two robust tree-ring width chronologies were developed for the western Tianmu Mountains and the Xianyu Mountains of southeast China. Both chronologies were significantly correlated with each other and were arithmetically averaged to build a regional chronology (RC). The RC had significant and positive correlations with winter temperature before the growing season. Based on this relationship, the average temperatures of the previous December to the current March were reconstructed using the RC chronology for the period 1852 to 2006. The temperature reconstruction was significantly correlated with the winter half-year temperature in the eastern Qinling Mountains of central China, 720 km west of the study region, suggesting a large-scale coherence of winter temperature variability. The reconstruction corresponds well with an East Asian winter monsoon (EAWM) index in extreme years and reflects the strong influences of the EAWM in this study region. Thus, there is great potential to use tree-ring chronologies to reconstruct past climate change in southeast China, where little dendroclimatic work has been done until now.

KEYWORDS

Jiangfeng Shi (Co-author)

  • School of Geographic and Oceanographic Sciences, Institute for Climate and Global Change Research, Nanjing University, Nanjing 210093, China

Edward R. Cook (Co-author)

  • Tree-Ring Laboratory, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York 10964, USA

Huayu Lu (Co-author)

  • School of Geographic and Oceanographic Sciences, Institute for Climate and Global Change Research, Nanjing University, Nanjing 210093, China

Jinbao Li (Co-author)

  • Tree-Ring Laboratory, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York 10964, USA

William E. Wright (Co-author)

  • Department of Forestry, National Taiwan University, Taipei 106, Taiwan, ROC

Shengfeng Li (Co-author)

  • School of Geographic and Oceanographic Sciences, Institute for Climate and Global Change Research, Nanjing University, Nanjing 210093, China