2021
DOI: 10.1016/j.dendro.2020.125785
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Cell wall dimensions reign supreme: cell wall composition is irrelevant for the temperature signal of latewood density/blue intensity in Scots pine

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Cited by 32 publications
(23 citation statements)
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“…However, this period is unlikely to be long enough nor sufficiently severe to cause the anomalous wood anatomy and low MXD seen in the 1783 ring [Begum et al, 2012]. Low August and September temperatures that cause an early end to the growing season, as well as ephemeral cold snaps, have been previously linked to lower MXD and associated with 'light rings' [Szeicz , 1996;Gindl et al, 2000;Vaganov et al, 2006;Edwards et al, 2021] or 'blue rings' [Piermattei et al, 2015;Matisons et al, 2020;Piermattei et al, 2020;Björklund et al, 2021], neither of which are observed in the 1783 rings. Damage to vegetation from Laki acid deposition was often at the time erroneously attributed to overnight frost across Europe, including in Sweden [Thordarson and Self , 2003].…”
Section: Potential Causes Of Low Mxd and Iadfs In 1783mentioning
confidence: 94%
“…However, this period is unlikely to be long enough nor sufficiently severe to cause the anomalous wood anatomy and low MXD seen in the 1783 ring [Begum et al, 2012]. Low August and September temperatures that cause an early end to the growing season, as well as ephemeral cold snaps, have been previously linked to lower MXD and associated with 'light rings' [Szeicz , 1996;Gindl et al, 2000;Vaganov et al, 2006;Edwards et al, 2021] or 'blue rings' [Piermattei et al, 2015;Matisons et al, 2020;Piermattei et al, 2020;Björklund et al, 2021], neither of which are observed in the 1783 rings. Damage to vegetation from Laki acid deposition was often at the time erroneously attributed to overnight frost across Europe, including in Sweden [Thordarson and Self , 2003].…”
Section: Potential Causes Of Low Mxd and Iadfs In 1783mentioning
confidence: 94%
“…In our study, wood density was mostly correlated with the density of the fibers in both stands which, in turn, was mostly explained by the thickness of the fiber cell walls (Figures 6C,D). A strong correlation between CWT and wood density has been well reported for conifers (Björklund et al, 2017(Björklund et al, , 2021, but remains less clear for angiosperms, where vessels, fibers, and parenchyma influence density in different ways. Interannual wood density variability in alder, although also influenced by the fiber to vessel area ratio (Supplementary Figure 16), is mostly driven by interannual variability in fiber CWT, which is more related to intrinsic physiological processes or biotic factors than climate variables or changing water regimes (Figure 3 and Supplementary Figure 12).…”
Section: Alder Wood Density and Its Links To Anatomymentioning
confidence: 96%
“…The adjustment of the wood anatomical architecture to environmental fluctuations may be linked to other structural modifications in the xylem fiber cells and, consequently, the wood density ( Ziemińska et al, 2013 ; Björklund et al, 2021 ). Wood density is an important wood property for timber production and wood utilization, and it is strongly related to tree C sequestration ( Babst et al, 2014 ).…”
Section: Introductionmentioning
confidence: 99%
“…A data adaptive age-dependent spline (ADS -149 Melvin et al, 2007), constrained to retain increasing trends, using the signal-free framework 150 (ADS-SF, hereafter - Melvin & Briffa, 2008) was applied to detrend the raw DBI data. Previous 151 work has shown that this approach captures mid-to-high frequency information very well 152 (Wilson et al, 2019) but it is still susceptible to the loss of potential low frequency information…”
Section: Accepted Articlementioning
confidence: 99%
“…Blue intensity (BI) is a relatively new advancement that uses blue light reflectance properties in high-resolution scans of tree-ring samples to derive a relative-density parameter of the latewood in conifer rings (Björklund et al, 2021;Campbell et al, 2007;Larsson, 2016;McCarroll et al, 2002). BI has proven to be a highly robust climate-sensitive parameter in dendrochronology and has been utilized around the globe (Babst et al, 2016;Björklund et al, 2014Björklund et al, , 2015Björklund et al, , 2019Buckley et al, 2018;Österreicher et al, 2015;Rydval et al, 2014;Wilson et al, 2014Wilson et al, , 2019.…”
mentioning
confidence: 99%