2015
DOI: 10.5194/cp-11-1153-2015
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A millennial summer temperature reconstruction for northeastern Canada using oxygen isotopes in subfossil trees

Abstract: Climatic reconstructions for northeastern Canada are scarce such that this area is under-represented in global temperature reconstructions. To fill this lack of knowledge and identify the most important processes influencing climate variability, this study presents the first summer temperature reconstruction for eastern Canada based on a millennial oxygen isotopic series (δ18O) from tree rings. For this purpose, we selected 230 well-preserved subfossil stems from the bottom of a boreal lake and five living tre… Show more

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Cited by 39 publications
(40 citation statements)
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“…Thus, this variable was retained for the climate reconstruction. This is consistent with previous findings showing that summer temperatures control the growth and isotopic values of these trees (Gennaretti et al 2014;Naulier et al 2014Naulier et al , 2015. Low and high temperature frequencies were treated separately and obtained with the same method as for the ring width chronology such that the LF chronology was comparable with that of the stable…”
Section: Bayesian Proxy Analysissupporting
confidence: 78%
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“…Thus, this variable was retained for the climate reconstruction. This is consistent with previous findings showing that summer temperatures control the growth and isotopic values of these trees (Gennaretti et al 2014;Naulier et al 2014Naulier et al , 2015. Low and high temperature frequencies were treated separately and obtained with the same method as for the ring width chronology such that the LF chronology was comparable with that of the stable…”
Section: Bayesian Proxy Analysissupporting
confidence: 78%
“…The R 2 of the LF 3P-STREC versus the temperature of the last century was 0.81. This is a substantial improvement relative to previous reconstructions with the same ring width data (STREC; R 2 = 0.64; Gennaretti et al 2014) or with the same δ 18 O data (i-STREC; R 2 = 0.58 or 0.64 if considering mean maximal temperature values such as in Naulier et al 2015). Note that here and hereafter, the comparisons with previous data were performed under the same conditions (using the same climate variable, frequency components, smoothing algorithm and 1905-2006 or 997-2006 periods).…”
Section: Final Reconstructionmentioning
confidence: 49%
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