School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, 85721, USA.
Int J Biometeorol. 2021 Jun;65(6):883-894. doi: 10.1007/s00484-020-02067-9. Epub 2021 Jan 18.
Extremely cold temperatures are a significant threat to agriculture and transportation in winter in southeastern China. However, due to the shortness of instrumental records and the scarcity of long-term temperature reconstructions, more high-quality temperature reconstructions are still needed to fully examine their spatial-temporal variability over the past several centuries. In this study, we built an earlywood width (EWW) chronology, a latewood width (LWW) chronology, and a tree-ring width (TRW) chronology using tree-ring samples of Pinus taiwanensis Hayata from the western Tianmu Mountains and the Xianyu Mountains in southeastern China. The tree growth-climate relationships were analyzed, and we found the strongest correlation between December and March mean temperature and the EWW chronology. The December-March mean temperature history was then reconstructed over the period of 1871-2016 using a linear regression model, which is the first EWW-based temperature reconstruction in southeastern China. With a higher explained variance (47.0%) than that (31.7%) of a previous reconstruction using a TRW chronology, the quality of the model has largely improved. This reconstruction was also comparable with other nearby records, further demonstrating the reliability of our new model. Furthermore, our reconstruction exhibits a significantly negative relationship with the East Asian winter monsoon index (EAWMI) since the 1920s, which may be attributed to the obviously enhanced EAWMI thereafter.
在中国东南部的冬季,极低的温度对农业和交通构成了重大威胁。然而,由于仪器记录的时间较短,长期温度重建的数量较少,因此仍需要更多高质量的温度重建,以充分检验过去几个世纪它们的时空变化。在这项研究中,我们利用来自中国东南部西天目山和仙寓山的台湾松(Pinus taiwanensis Hayata)的树木年轮样本,建立了早材宽度(EWW)年表、晚材宽度(LWW)年表和树木年轮宽度(TRW)年表。分析了树木生长与气候的关系,发现 EWW 年表与 12 月和 3 月的平均温度之间存在最强的相关性。然后,我们使用线性回归模型重建了 1871 年至 2016 年期间的 12 月至 3 月平均温度历史,这是中国东南部首次基于 EWW 的温度重建。与使用 TRW 年表的先前重建(解释方差为 31.7%)相比,该模型的解释方差(47.0%)更高,模型质量有了很大提高。该重建与其他附近的记录也具有可比性,进一步证明了我们新模型的可靠性。此外,自 20 世纪 20 年代以来,我们的重建与东亚冬季风指数(EAWMI)呈显著负相关,这可能归因于此后东亚冬季风指数的明显增强。