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

Zhang, Weijie; Shi, Jiangfeng; Zhao, Yun; Shi, Shiyuan; Ma, Xiaoqi; Zhu, Yunlong

doi:10.1007/s00484-020-02067-9

Cited by 8 publications

(1 citation statement)

References 57 publications

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“…Earlywood growth can be related to temperature (e.g., Zhang et al 2021) but is often correlated with the amount of winter and spring precipitation received (for example, November through May; [Stahle et al 2009]). Latewood width has been found to record a summer precipitation signal, especially if its dependence on earlywood growth is statistically removed (Stahle et al 2009, Griffin et al 2013.…”

Section: Introductionmentioning

confidence: 99%

Tree growth sensitivity to climate varies across a seasonal precipitation gradient

et al. 2022

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Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doepublic-access-plan).

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Section: Introductionmentioning

confidence: 99%

Tree growth sensitivity to climate varies across a seasonal precipitation gradient

et al. 2022

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July–August minimum temperature variability encoded in latewood blue intensity in southeastern China

Peng,

Zhou,

Dong

et al. 2024

Intl Journal of Climatology

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Tree‐ring blue intensity (BI) is well known as a relatively new proxy, which has been utilized for temperature reconstructions over some regions of the worldwide, and has great research potential. In this study, based on tree‐ring data from Pinus massoniana in northwestern Wuyi Mountains in southeastern China, we established a series of tree‐ring width (TRW), earlywood BI (EWBI), latewood BI (LWBI) and delta BI (ΔBI) chronologies. The correlation analysis results indicated that BI chronologies are better than TRW chronology in relation to climate factors; EWBI chronology is a positive correlation with three temperatures (Tmean, Tmax and Tmin), whereas ΔBI and LWBI chronologies almost are negative correlations with temperatures. The LWBI chronology exhibited the highest correlation in July–August Tmin during 1955–2021 (r = −0.61, p < 0.01) and for the reconstruction. The reconstruction model could explain 36.64% of the observed variance. The reconstructed series spanned from 1843 to 2021 and documented three warm periods (1843–1863, 1874–1888 and 1992–2021) and one cold period (1911–1991), and Tmin rapidly warming since 1950s, which is similar to variation in the surrounding temperature reconstruction and is also consistent with the rate of global warming published by the IPCC. The result shows that the summer Tmin anomaly in southeast China is related significantly to the quasi‐biennial oscillation in the western Pacific and Indian Ocean.

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The interannual impact of the North Atlantic sea surface temperature on the surface air temperature over southern China in February

et al. 2023

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

Cited by 8 publications

References 57 publications

Tree growth sensitivity to climate varies across a seasonal precipitation gradient

Tree growth sensitivity to climate varies across a seasonal precipitation gradient

July–August minimum temperature variability encoded in latewood blue intensity in southeastern China

The interannual impact of the North Atlantic sea surface temperature on the surface air temperature over southern China in February

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