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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Main Authors: 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
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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spelling 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
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic 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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