Temperature variation at the low‐latitude regions of East Asia recorded by tree rings during the past six centuries

Liu, Yu; Li, Ching-Yao; Sun, Changfeng; Song, Huiming; Li, Qiang; Cai, Qiufang; Liu, Ruoshi

doi:10.1002/joc.6287

Cited by 9 publications

(2 citation statements)

References 44 publications

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“…To test the assumption that the GST reconstruction generally represented the past temperature change in EC, where long temperature reconstructions covering the past 350 years were relatively rare (He et al 2019), we compared the reconstructed GST from the GXAM in northern EC (Zhang et al 2018), our reconstructed GST at MSM in central EC and the reconstructed SAT from Taiwan (TW) in southern EC (Liu et al 2020) over the past 350 years (figure 5). The temperature in the three regions began to rise in approximately 1950; the warmest period was at the end of the 20th century and the beginning of the 21st century.…”

Section: Temporal and Spatial Differences In Temperature Changes In Ecmentioning

confidence: 99%

Tree rings reveal changes in the temperature pattern in eastern China before and during the Anthropocene

Sun

Li²,

Liu³

et al. 2022

Environ. Res. Lett.

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Comprehensive understanding of the spatial characteristics of warming trends and temperature variability is important given global warming. Paleoclimate reconstruction has played an important role in evaluating warming and extreme climactic events in recent decades. Using the ring width of Pinus tabulaeformis, we reconstructed the ground surface temperature (GST) changes at Mengshan Mountain, in the central part of eastern China (EC), from 1667 to 2019. There were 3 extremely low-temperature years, 42 low-temperature years, 256 normal years, 37 high-temperature years and 15 extremely high-temperature years over the past 353 years. High and extremely high temperatures mainly occurred in the first half of the 19th century, the end of the 20th century and the beginning of the 21st century; low and extremely low temperatures occurred in almost all periods except for the last 50 years. By combining the past temperature reconstructions at the Great Xing’an Mountains in northern EC and Taiwan in southern EC, we also found that after the start of the Anthropocene, there were strong positive correlations among the temperatures of the northern, central and southern parts of EC. However, before the Anthropocene, these correlations were weak, and there was even a significant negative correlation during some periods. Additionally, the temperature in EC exhibited different change patterns before and during the Anthropocene. Before the Anthropocene, the temperature in southern EC showed an upward trend; in central EC, the temperature first rose and then began to decline in the 1820s; there was no obvious trend in the temperature changes in the northern EC. The spatial consistency of temperature changes during the Anthropocene might be related to the fact that greenhouse gases emitted by human activates diffuse evenly with the atmospheric circulation and absorb longwave radiation to directly heat the atmosphere.

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Section: Temporal and Spatial Differences In Temperature Changes In Ecmentioning

confidence: 99%

Tree rings reveal changes in the temperature pattern in eastern China before and during the Anthropocene

Sun

Li²,

Liu³

et al. 2022

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Tree-ring studies in China have witnessed a rapid development in recent decades, but mostly concentrate in arid and semi-arid regions [8][9][10][11][12][13][14][15] and on the Tibetan Plateau [16][17][18][19][20][21][22]. More studies are emerging in central and eastern China in recent years [23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

A Tree-Ring-Based Assessment of Pinus armandii Adaptability to Climate Using Two Statistical Methods in Mt. Yao, Central China during 1961–2016

Peng

Jin-bao

et al. 2021

Forests

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Assessing the characteristics and limiting factors of tree growth is of practical significance for environmental studies and climatic reconstruction, especially in climate transition zones. In this study, four sites of Pinus armandii Franeh are investigated to understand regional climate-tree growth response in Mt. Yao, central China. Based on the high similarity of four residual chronologies and high correlations between chronologies and climatic factors, we analyzed the correlations of regional residual chronology with monthly climatic factors and the self-calibrating Palmer Drought Severity Index (scPDSI) from 1961–2016. The results indicate that the hydrothermal combination of prior August and current May and the scPDSI in May are main limiting factors of regional tree growth in Mt. Yao. The results of stepwise regression models also show that temperature and scPDSI in May are the main limiting factors of tree growth, but the limiting effect of scPDSI is more than temperature in this month. Through the analysis of the number of tree growth years corresponding to high temperature and high scPDSI, it was further confirmed that scPDSI in May is the main limiting factor on the growth of P. armandii in Mt. Yao. However, the influence of scPDSI in May has weakened, while temperature in May has increasingly significant influence on tree growth. The above findings will help improve our understanding of forest dynamics in central China under global climate change.

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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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Temperature variation at the low‐latitude regions of East Asia recorded by tree rings during the past six centuries

Cited by 9 publications

References 44 publications

Tree rings reveal changes in the temperature pattern in eastern China before and during the Anthropocene

Tree rings reveal changes in the temperature pattern in eastern China before and during the Anthropocene

A Tree-Ring-Based Assessment of Pinus armandii Adaptability to Climate Using Two Statistical Methods in Mt. Yao, Central China during 1961–2016

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

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