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Trees

, Volume 32, Issue 3, pp 881–882 | Cite as

Editor’s highlight for TSAF D-17-00396: carbon and oxygen isotopes in tree rings—climate signals and microsite effects

  • Arthur Gessler
Original Article

Abstract

Key message

Isotopes are important proxies in tree rings but microsite differences are often not taken into account. Esper et al. (Trees 32:1–15, 2018) assessed microsite differences contributing to the understanding of local drivers.

Abstract

Carbon and oxygen isotopes are important proxies in tree ring archives that allow the reconstruction of the past climate as well as to retrospectively assess tree responses towards climatic drivers Esper et al. (Trees 32:1–15, 2018, this issue) took into account potential microsite differences as they not only chose a strong latitudinal gradient in Sweden (Kiruna, north of the polar circle vs. Stockholm) but also collected at both locations tree rings from Pinus sylvestris that grew directly at a lakeshore and trees up to 30 m upslope.

Keywords

Tree ring Isotope Local site conditions 

Carbon and oxygen isotopes are important proxies in tree ring archives that allow the reconstruction of the past climate (e.g. Kress et al. 2010; Treydte et al. 2006) as well as to retrospectively assess tree responses towards climatic drivers (e.g. Jansen et al. 2013). Stable isotopes analyses complement the assessment of more classical tree ring parameters such as tree ring width or maximum latewood density and might be more closely linked to tree physiology (c.f. Gessler et al. 2014) compared to the growth-related patterns. However, the exact physiological signal that is conveyed by tree ring isotopes is difficult to be straightforwardly disentangled. Whilst the fractionation mechanisms during photosynthesis that lead to the carbon isotopic signature (δ13C) of new assimilates are well understood (Farquhar et al. 1982), post-carboxylation discrimination and mixing of various carbon pools might partially uncouple tree ring δ13C information from photosynthesis and its climatic drivers (Offermann et al. 2011; Tcherkez et al. 2007). For the oxygen isotope composition (δ18O) of tree rings, the situation is even more complex

On the one hand, variations in δ18O of the source water taken up by the tree can contain climatic information since air temperature and water vapor pressure amongst other parameters affect precipitation δ18O (Araguás-Araguás et al. 2000). On the other hand, local differences in water access (e.g. river water, ground water) can influence the source water δ18O causing differences not necessarily directly related to climate or weather. Moreover, not only the source water isotopic composition but also evaporative oxygen isotope enrichment of leaf water is imprinted on the organic matter produced during photosynthesis (Barbour 2007) and the enrichment is affected by climate (e.g. VPD) as well as by tree physiological processes (e.g. stomatal response and transpiration). If that were not complex enough, various downstream fractionation steps and oxygen atom exchange between tissue water and organic matter occur and their impact on the tree ring δ18O might not be constant but variable with environmental divers and physiological processes (Song et al. 2014; Sternberg and Ellsworth 2011).

In conclusion, subtle interactions between climate and tree responses but also site-specific conditions (e.g. access to different water sources) might affect the isotope signals in tree ring series complicating climate reconstructions based on δ13C and δ18O.

Esper et al. (2018, this issue) took into account the potential microsite differences as they not only chose a strong latitudinal gradient in Sweden (Kiruna, north of the polar circle vs. Stockholm) but also collected at both locations the tree rings from Pinus sylvestris that grew directly at a lakeshore and trees up to 30 meters upslope with no access to lake and phreatic water. The authors could show that—even though there were significant correlations between all stable isotope microsite chronologies—the moist microsites (at the lakeshore) recorded climate signals more intensively than the drier microsites. Access to lake water also lead to a 13C depletion of approx. 1 ‰ most probably due to higher stomatal conductance compared to the drier site whilst δ18O was not affected by microsite condition. The results indicate that on the one hand, tree rings from moist microsite habitats might provide advantages for climate reconstructions. On the other hand, they show that it should be avoided to mix moist and dry microsites when producing composite chronologies over long time periods (e.g. millennia) as this might cause temporal differences in the climate reconstruction accuracy.

While the study of Esper et al. is an important step forward in understanding and disentangling regional and local drivers for tree ring δ13C and δ18O, we still need to expand the assessments of the mechanisms determining the isotope composition of tree rings over long time periods. One way to go further ahead might be the intra-annual characterization of stable isotopes in tree rings (e.g. Helle and Schleser 2004) in long time series, which might allow a deeper understanding of the temporal linkages between climatic drivers and isotopic responses. Another promising way to exploit the existing mechanistic knowledge for paleo-environmental studies is the use of inverse modelling. Such approaches allow to take advantage of mechanistic models to derive environmental variables from dendroecological parameters including stable isotopes (Gessler et al. 2014).

Author contribution statement

AG has written the manuscript and done all other analyses related to the manuscript.

Notes

Compliance with ethical standards

Conflict of interest

The author declares that he has no conflict of interest.

Human participants and animal rights statement

The research did not involve animals or humans.

References

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Forest DynamicsSwiss Federal Research Institute WSLBirmensdorfSwitzerland
  2. 2.Institute of Terrestrial EcosystemsETH ZurichZurichSwitzerland

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