2013
DOI: 10.5558/tfc2013-036
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Tree-ring based reconstruction of mean maximum temperatures since AD 1829

Abstract: The correlation between tree-ring widths and climate was developed using Pinus sylvestris var. mongolica after which mean maximum temperatures of June-July since 1829 were reconstructed. Results show that the transfer function of temperature explains more than 40% of the variance and that the reconstruction sequence was consistent with several reconstructed temperature variations in the region. Over the past 181 years, climate in the region has undergone eight distinct low temperature and eight high temperatur… Show more

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Cited by 2 publications
(2 citation statements)
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References 28 publications
(23 reference statements)
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“…2). Similar results were also obtained by studies of other tree species in various areas of China (Bao et al, 2012;Gao et al, 2013;Lu et al, 2016;Shi et al, 2013;Tian et al, 2009). The hot summer temperatures might limit the growth of Larix gmelinii due to the increased water deficits caused by the enhanced forest respiration and evaporation of soil moisture (Huang et al, 2010;.…”
Section: Tree Growth-climate Responsessupporting
confidence: 77%
“…2). Similar results were also obtained by studies of other tree species in various areas of China (Bao et al, 2012;Gao et al, 2013;Lu et al, 2016;Shi et al, 2013;Tian et al, 2009). The hot summer temperatures might limit the growth of Larix gmelinii due to the increased water deficits caused by the enhanced forest respiration and evaporation of soil moisture (Huang et al, 2010;.…”
Section: Tree Growth-climate Responsessupporting
confidence: 77%
“…Tree rings can provide annual proxy climate information, and have been widely used for temperature and precipitation reconstructions over the past several centuries (Cook et al 2004). China's tree-ring eco-climatology research has focused on sites on the Tibetan Plateau and on other areas of northwestern China (Zhu et al 2009, Liu et al 2010, Shi et al 2013. However, there has been no research on predicting future carbon pools under climate change using the relationship between tree-ring width and climate variability.…”
Section: Introductionmentioning
confidence: 99%