Evidence map›Paper›PMID 33462711›Full record

ArticleInternational journal of biometeorology2021

December-March temperature reconstruction from tree-ring earlywood width in southeastern China during the period of 1871-2016.

Weijie Zhang, Jiangfeng Shi, Yesi Zhao, Shiyuan Shi, Xiaoqi Ma, Yuxin Zhu

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Article in International journal of biometeorology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Weijie ZhangSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Jiangfeng ShiSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China. shijf@nju.edu.cn.
Yesi ZhaoSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Shiyuan ShiSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Xiaoqi MaSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Yuxin ZhuSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.

Funding

Key R&D Program of China 2016YFA0600503National Natural Science Foundation of China 41671193Natural Science Foundation of Jiangsu Province BK20161394
6 · The paper itself

Abstract

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.

Indexed as

ClimateTreesChinaReproducibility of ResultsTemperatureEarlywoodEast Asian winter monsoonSoutheastern ChinaWinter temperature

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