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Wood anatomy of Juniperus communis : a promising proxy for palaeoclimate reconstructions in the Arctic

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TLDR
A clear age trend is documented in the investigated growth parameters, which indicates the need for detrending the time series prior to possible climate correlation analyses and climate or environmental reconstructions, and is the first demonstration of using cell anatomical parameter of J. communis shrubs as palaeoclimatological proxy for the Arctic.
Abstract
The Arctic is one of the most sensitive areas worldwide with respect to climate changes, and recent climate change impacts are evident throughout Arctic ecosystems. In order to put current and projected changes in a palaeoclimatic context, exact information of past conditions and therefore detailed knowledge of proxy archives are crucial. Here, we investigated wood anatomical and other growth-related records of the long-lived and widespread Arctic tundra shrub Juniperus communis L. Annual ring-widths and cell anatomical parameters of 20 individuals from south-west Greenland were measured to test for age-related trends in the proxy time series and to correlate them with past climatic conditions. We documented a clear age trend in the investigated growth parameters (ring-widths, conduit-lumen areas, and cell wall thicknesses), which indicates the need for detrending the time series prior to possible climate correlation analyses and climate or environmental reconstructions. Prostrate growth forms of J. communis do not exhibit the general trend of an exponential widening of the conduit-lumen areas during ontogeny, as has been observed for many tree species, but their conduit lumens stop to increase in size at some point. This is possibly caused by a combination of extreme climate and physiological adaptations, which result in a prostrate growth form. Of the tested growth parameters, only detrended cell wall thickness showed stable correlations with summer temperature and the summer standardized precipitation evapotranspiration index (SPEI). The other growth parameters did not pass cross-calibration verification analyses, although for ring-widths we found the strongest climate correlations. Despite the fact that the ecophysiological processes behind our observations (i.e. reduced cell wall thickness combined with wider rings under dry conditions in the vegetation season) yet are not fully understood, we recognize the potential of J. communis for climate reconstructions. To our knowledge, this is the first demonstration of using cell anatomical parameter of J. communis shrubs as palaeoclimatological proxy for the Arctic.

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Citations
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Recent advances in dendroclimatology in China

TL;DR: Wang et al. as discussed by the authors established new tree-ring sampling sites across the Tibetan Plateau, as well as the northeastern and sub-tropical eastern parts of China, with the longest one extending back to 2637BCE (before Common Era).
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Differences in growth between shrubs and trees: How does the stature of woody plants influence their ability to thrive in cold regions?

TL;DR: The main advantage of shrubs over trees resides in the earlier completion of wood formation and thus a shorter growing season, which is generally shorter growing period than trees.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

TL;DR: In this article, a new climatic drought index, the standardized precipitation evapotranspiration index (SPEI), is proposed, which combines multiscalar character with the capacity to include the effects of temperature variability on drought assessment.
Journal ArticleDOI

Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850

TL;DR: HadCRUT3 as mentioned in this paper is a new version of this data set, benefiting from recent improvements to the sea surface temperature data set which forms its marine component, and from improving to the station records which provide the land data.
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