2014
DOI: 10.1088/1748-9326/9/10/104021
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Winter precipitation effect in a mid-latitude temperature-limited environment: the case of common juniper at high elevation in the Alps

Abstract: Common juniper (Juniperus communis L.) is by far the most widespread conifer in the world. However, tree-ring research dealing with this species is still scarce, mainly due to the difficulty in crossdating associated with the irregular stem shape with strip-bark growth form in older individuals and the high number of missing and wedging rings. Given that many different species of the same genus have been successfully used in tree-ring investigations and proved to be reliable climate proxies, this study aims to… Show more

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Cited by 44 publications
(41 citation statements)
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“…Previous investigations across the Siberian subarctic, including some of our Polar study sites, detected a post-1960s divergence between tree growth and summer temperatures which was explained by a delayed snow melt due to increasing winter precipitation (Vaganov et al, 1999). Similar detrimental effect of snow pack duration on growth has been described for prostrate junipers in the Alps (Pellizzari et al, 2014). Similar detrimental effect of snow pack duration on growth has been described for prostrate junipers in the Alps (Pellizzari et al, 2014).…”
Section: Discussionsupporting
confidence: 79%
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“…Previous investigations across the Siberian subarctic, including some of our Polar study sites, detected a post-1960s divergence between tree growth and summer temperatures which was explained by a delayed snow melt due to increasing winter precipitation (Vaganov et al, 1999). Similar detrimental effect of snow pack duration on growth has been described for prostrate junipers in the Alps (Pellizzari et al, 2014). Similar detrimental effect of snow pack duration on growth has been described for prostrate junipers in the Alps (Pellizzari et al, 2014).…”
Section: Discussionsupporting
confidence: 79%
“…In the case of junipers, we chose a spline function with a 50% frequency cut-off at 100 years; in this way, we removed the long-term biological growth trend, maintaining high (annual)-to midfrequency (multidecadal) growth variability resulting in dimensionless ring-width indices (Helama et al, 2004). Tree chronologies were similarly detrended to remove the typical age-related trend of declining ring-width (often absent in junipers; see Pellizzari et al, 2014) using firstly a negative exponential curve and then applying a 100-year-long spline. Finally, with both growth forms, junipers and trees, the first-order autocorrelation of the standardized ring-width indices was removed through autoregressive modelling.…”
Section: Dendrochronological Methodsmentioning
confidence: 99%
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“…Srur & Villalba 2009; Garc ıa-Cervig on Morales et al 2012;Gazol & Camarero 2012;Liang et al 2012Liang et al , 2015Schweingruber et al 2013). To date, only a few long (>150 years) shrub ring-width chronologies have been developed to the best of our knowledge (see Hallinger et al 2010;Weijers et al 2010;Boulanger-Lapointe et al 2014;Pellizzari et al 2014;Myers-Smith et al 2015).…”
mentioning
confidence: 99%