Earlywood and latewood density in pines from northern subtropical China exhibit distinct and robust climate signals

• MND and MXD chronologies were built in northern tropical forest of China. • MND responds strongly to maximum temperature and drought during May–June. • MXD responds strongly to same climate factors during August–September. • Absence of warming trends were observed in either season. • The maximum temperatures across different seasons exhibited asynchronization. Tree-ring densitometric parameters are essential tools in ecological and climate change studies. Among these, maximum latewood density (MXD) is the most widely used for summer temperature reconstructions, particularly in high-latitude and high-elevation regions where tree growth is primarily limited by temperature. In drought-prone sites, minimum earlywood density (MND) has been shown to reflect moisture variability. However, the application of these parameters in tropical or subtropical regions has been less well-explored. In this study, we conducted tree-ring densitometric studies in a northern subtropical forest of China to investigate the potential of tree-ring density parameters for climate reconstructions. MND exhibited significant positive correlations with maximum temperature and negative correlations with the Standardized Precipitation Evapotranspiration Index (SPEI) during May-June. MXD showed analogous response patterns to the same climate factors during August–September. Based on these robust correlations, we reconstructed the maximum temperatures during May-June and August-September separately. However, no synchronization was observed between these two temperature reconstructions on annual scale. Our study represents one of the first comprehensive densitometric investigations capturing extensive and strong climatic signals, highlighting the great potential of tree-ring densitometric parameters for climate reconstruction within subtropical regions.

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Publication Details

Journal
Ecological Indicators
Published
2025-05-09
DOI
https://doi.org/10.1016/j.ecolind.2025.113575
Citations
1
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
1.30
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article

Earlywood and latewood density in pines from northern subtropical China exhibit distinct and robust climate signals

Huiming Song, Changfeng Sun, Yifan Ma, Yu Liu et al.
1 citations
Ecological Indicators
Tree-ring climate responses
1.30
article

Earlywood and latewood density in pines from northern subtropical China exhibit distinct and robust climate signals

Huiming Song, Changfeng Sun, Yifan Ma, Yu Liu, Jesper Björklund, Quan Zhang, Qiang Li, Pei Li, Xuan Wu, Xueli Zeng
article en
1 citations

Abstract

• MND and MXD chronologies were built in northern tropical forest of China. • MND responds strongly to maximum temperature and drought during May–June. • MXD responds strongly to same climate factors during August–September. • Absence of warming trends were observed in either season. • The maximum temperatures across different seasons exhibited asynchronization. Tree-ring densitometric parameters are essential tools in ecological and climate change studies. Among these, maximum latewood density (MXD) is the most widely used for summer temperature reconstructions, particularly in high-latitude and high-elevation regions where tree growth is primarily limited by temperature. In drought-prone sites, minimum earlywood density (MND) has been shown to reflect moisture variability. However, the application of these parameters in tropical or subtropical regions has been less well-explored. In this study, we conducted tree-ring densitometric studies in a northern subtropical forest of China to investigate the potential of tree-ring density parameters for climate reconstructions. MND exhibited significant positive correlations with maximum temperature and negative correlations with the Standardized Precipitation Evapotranspiration Index (SPEI) during May-June. MXD showed analogous response patterns to the same climate factors during August–September. Based on these robust correlations, we reconstructed the maximum temperatures during May-June and August-September separately. However, no synchronization was observed between these two temperature reconstructions on annual scale. Our study represents one of the first comprehensive densitometric investigations capturing extensive and strong climatic signals, highlighting the great potential of tree-ring densitometric parameters for climate reconstruction within subtropical regions.

Ecological IndicatorsVol. 175
University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Guangzhou University (CN), National Institute of Biological Sciences, Beijing (CN), Institute of Earth Environment (CN), Xi'an Jiaotong University (CN), University of Gothenburg (SE)
Climate action
Openalex Percentile: Top 23%
Tree-ring climate responses
1.30
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