No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set

Urs Gut*, Mátyás Árvai, Szymon Bijak, J.J. Camarero, Anna Cedro, Roberto Cruz-García, Balázs Garamszegi, Andrew Hacket-Pain, Andrea Hevia, Weiwei Huang, Miriam Isaac-Renton, Ryszard J. Kaczka, Marko Kazimirović, Wojciech Kędziora, Zoltán Kern, Marcin Klisz, Tomáš Kolář, Michael Körner, Veronica Kuznetsova, David MontwéAny Mary Petritan, Ion Catalin Petritan, Lenka Plavcová, Romy Rehschuh, Eva Rocha, Michal Rybníček, Raúl Sánchez-Salguero, Jens Schröder, Niels Schwab, Branko Stajić, Robert Tomusiak, Martin Wilmking, Ute Sass-Klaassen, Allan Buras

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

Ring-width series are important for diverse fields of research such as the study of past climate, forest ecology, forest genetics, and the determination of origin (dendro-provenancing) or dating of archaeological objects. Recent research suggests diverging climate-growth relationships in tree-rings due to the cardinal direction of extracting the tree cores (i.e. direction-specific effect). This presents an understudied source of bias that potentially affects many data sets in tree-ring research. In this study, we investigated possible direction-specific growth variability based on an international (10 countries), multi-species (8 species) tree-ring width network encompassing 22 sites. To estimate the effect of direction-specific growth variability on climate-growth relationships, we applied a combination of three methods: An analysis of signal strength differences, a Principal Component Gradient Analysis and a test on the direction-specific differences in correlations between indexed ring-widths series and climate variables. We found no evidence for systematic direction-specific effects on tree radial growth variability in high-pass filtered ring-width series. In addition, direction-specific growth showed only marginal effects on climate-growth correlations. These findings therefore indicate that there is no consistent bias caused by coring direction in data sets used for diverse dendrochronological applications on relatively mesic sites within forests in flat terrain, as were studied here. However, in extremely dry, warm or cold environments, or on steep slopes, and for different life-forms such as shrubs, further research is advisable.

Original languageEnglish
Article number125624
JournalDendrochronologia
Volume57
DOIs
Publication statusPublished - Oct 2019

Keywords

  • Climate signal
  • Correlation analysis
  • Dendro-provenancing
  • Directional growth
  • Principal Component Gradient Analysis
  • Tree-rings

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