No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set
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.
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Climate signal, Correlation analysis, Dendro-provenancing, Directional growth, Principal Component Gradient Analysis, Tree-rings, |
Online Access: | https://research.wur.nl/en/publications/no-systematic-effects-of-sampling-direction-on-climate-growth-rel |
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dig-wur-nl-wurpubs-5540032024-10-02 Gut, Urs Árvai, Mátyás Bijak, Szymon Camarero, J.J. Cedro, Anna Cruz-García, Roberto Garamszegi, Balázs Hacket-Pain, Andrew Hevia, Andrea Huang, Weiwei Isaac-Renton, Miriam Kaczka, Ryszard J. Kazimirović, Marko Kędziora, Wojciech Kern, Zoltán Klisz, Marcin Kolář, Tomáš Körner, Michael Kuznetsova, Veronica Montwé, David Petritan, Any Mary Petritan, Ion Catalin Plavcová, Lenka Rehschuh, Romy Rocha, Eva Rybníček, Michal Sánchez-Salguero, Raúl Schröder, Jens Schwab, Niels Stajić, Branko Tomusiak, Robert Wilmking, Martin Sass-Klaassen, Ute Buras, Allan Article/Letter to editor Dendrochronologia 57 (2019) ISSN: 1125-7865 No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set 2019 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. en application/pdf https://research.wur.nl/en/publications/no-systematic-effects-of-sampling-direction-on-climate-growth-rel 10.1016/j.dendro.2019.125624 https://edepot.wur.nl/501079 Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings |
spellingShingle |
Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings Gut, Urs Árvai, Mátyás Bijak, Szymon Camarero, J.J. Cedro, Anna Cruz-García, Roberto Garamszegi, Balázs Hacket-Pain, Andrew Hevia, Andrea Huang, Weiwei Isaac-Renton, Miriam Kaczka, Ryszard J. Kazimirović, Marko Kędziora, Wojciech Kern, Zoltán Klisz, Marcin Kolář, Tomáš Körner, Michael Kuznetsova, Veronica Montwé, David Petritan, Any Mary Petritan, Ion Catalin Plavcová, Lenka Rehschuh, Romy Rocha, Eva Rybníček, Michal Sánchez-Salguero, Raúl Schröder, Jens Schwab, Niels Stajić, Branko Tomusiak, Robert Wilmking, Martin Sass-Klaassen, Ute Buras, Allan No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
description |
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. |
format |
Article/Letter to editor |
topic_facet |
Climate signal Correlation analysis Dendro-provenancing Directional growth Principal Component Gradient Analysis Tree-rings |
author |
Gut, Urs Árvai, Mátyás Bijak, Szymon Camarero, J.J. Cedro, Anna Cruz-García, Roberto Garamszegi, Balázs Hacket-Pain, Andrew Hevia, Andrea Huang, Weiwei Isaac-Renton, Miriam Kaczka, Ryszard J. Kazimirović, Marko Kędziora, Wojciech Kern, Zoltán Klisz, Marcin Kolář, Tomáš Körner, Michael Kuznetsova, Veronica Montwé, David Petritan, Any Mary Petritan, Ion Catalin Plavcová, Lenka Rehschuh, Romy Rocha, Eva Rybníček, Michal Sánchez-Salguero, Raúl Schröder, Jens Schwab, Niels Stajić, Branko Tomusiak, Robert Wilmking, Martin Sass-Klaassen, Ute Buras, Allan |
author_facet |
Gut, Urs Árvai, Mátyás Bijak, Szymon Camarero, J.J. Cedro, Anna Cruz-García, Roberto Garamszegi, Balázs Hacket-Pain, Andrew Hevia, Andrea Huang, Weiwei Isaac-Renton, Miriam Kaczka, Ryszard J. Kazimirović, Marko Kędziora, Wojciech Kern, Zoltán Klisz, Marcin Kolář, Tomáš Körner, Michael Kuznetsova, Veronica Montwé, David Petritan, Any Mary Petritan, Ion Catalin Plavcová, Lenka Rehschuh, Romy Rocha, Eva Rybníček, Michal Sánchez-Salguero, Raúl Schröder, Jens Schwab, Niels Stajić, Branko Tomusiak, Robert Wilmking, Martin Sass-Klaassen, Ute Buras, Allan |
author_sort |
Gut, Urs |
title |
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
title_short |
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
title_full |
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
title_fullStr |
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
title_full_unstemmed |
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
title_sort |
no systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set |
url |
https://research.wur.nl/en/publications/no-systematic-effects-of-sampling-direction-on-climate-growth-rel |
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