Biases in RCS tree ring chronologies due to sampling heights of trees

The Regional Curve Standardization (RCS) is one of the most employed standardization methods to remove biological signals in long tree ring chronologies. The approach assumes that an overall age-related growth trend typify all tree ring series to be included in a standardized tree ring chronology. A...

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Published in:Dendrochronologia
Main Authors: Autin, Julia, Gennaretti, Fabio, Arseneault, Dominique, Bégin, Yves
Format: Article in Journal/Newspaper
Language:French
Published: 2015
Subjects:
Online Access:https://semaphore.uqar.ca/id/eprint/1626/
https://semaphore.uqar.ca/id/eprint/1626/1/Julia_Autin_et_al_septembre2015.pdf
https://doi.org/10.1016/j.dendro.2015.08.002
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author Autin, Julia
Gennaretti, Fabio
Arseneault, Dominique
Bégin, Yves
author_facet Autin, Julia
Gennaretti, Fabio
Arseneault, Dominique
Bégin, Yves
author_sort Autin, Julia
collection Université du Québec à Rimouski (UQAR): Sémaphore
container_start_page 13
container_title Dendrochronologia
container_volume 36
description The Regional Curve Standardization (RCS) is one of the most employed standardization methods to remove biological signals in long tree ring chronologies. The approach assumes that an overall age-related growth trend typify all tree ring series to be included in a standardized tree ring chronology. Although several potential problems of the method have been examined, the influence of varying the sampling height along tree stems has not been evaluated. Considering that age-related growth trends may vary with stem height, biases may arise when combining samples from unknown or variable sampling heights, a frequent situation with subfossil logs. In this study we perform a detailed stem analysis of 15 lakeshore black spruce (Picea mariana Mill. B.S.P.) trees in the taiga of eastern Canada to describe how the age-related growth trend varies with stem height and evaluate associated biases in RCS chronologies built from living and subfossil trees. Results show that the age-related growth trends vary markedly and systematically along stems, potentially generating large methodological biases in RCS chronologies, especially near the recent chronology end. These biases may lead to erroneous reconstructions of recent climatic trends and cause false divergence between tree ring and climate series. We have developed a correction procedure that appears efficient in removing these biases from chronologies built with the lakeshore trees and associated subfossil logs. -- Keywords : Dendrochronology Paleoclimatology Tree ring chronology Subfossil tree Living tree Sampling height Methodological bias Boreal forest Picea mariana RCS standardization.
format Article in Journal/Newspaper
genre taiga
genre_facet taiga
geographic Canada
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geographic_facet Canada
Noire
id ftunivquebecar:oai:semaphore.uqar.ca:1626
institution Open Polar
language French
long_lat ENVELOPE(140.019,140.019,-66.666,-66.666)
op_collection_id ftunivquebecar
op_container_end_page 22
op_doi https://doi.org/10.1016/j.dendro.2015.08.002
op_relation https://semaphore.uqar.ca/id/eprint/1626/1/Julia_Autin_et_al_septembre2015.pdf
Autin, Julia et Gennaretti, Fabio et Arseneault, Dominique et Bégin, Yves (2015). Biases in RCS tree ring chronologies due to sampling heights of trees. Dendrochronologia, 36 . p. 13-22.
publishDate 2015
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spelling ftunivquebecar:oai:semaphore.uqar.ca:1626 2025-01-17T01:03:58+00:00 Biases in RCS tree ring chronologies due to sampling heights of trees Autin, Julia Gennaretti, Fabio Arseneault, Dominique Bégin, Yves 2015-11 application/pdf https://semaphore.uqar.ca/id/eprint/1626/ https://semaphore.uqar.ca/id/eprint/1626/1/Julia_Autin_et_al_septembre2015.pdf https://doi.org/10.1016/j.dendro.2015.08.002 fr fre https://semaphore.uqar.ca/id/eprint/1626/1/Julia_Autin_et_al_septembre2015.pdf Autin, Julia et Gennaretti, Fabio et Arseneault, Dominique et Bégin, Yves (2015). Biases in RCS tree ring chronologies due to sampling heights of trees. Dendrochronologia, 36 . p. 13-22. Dendrochronologie Paléoclimatologie Arbres Cernes Erreurs systématiques Hauteur Échantillonnage Épinette noire Picea mariana Article Évalué par les pairs 2015 ftunivquebecar https://doi.org/10.1016/j.dendro.2015.08.002 2023-07-08T23:10:25Z The Regional Curve Standardization (RCS) is one of the most employed standardization methods to remove biological signals in long tree ring chronologies. The approach assumes that an overall age-related growth trend typify all tree ring series to be included in a standardized tree ring chronology. Although several potential problems of the method have been examined, the influence of varying the sampling height along tree stems has not been evaluated. Considering that age-related growth trends may vary with stem height, biases may arise when combining samples from unknown or variable sampling heights, a frequent situation with subfossil logs. In this study we perform a detailed stem analysis of 15 lakeshore black spruce (Picea mariana Mill. B.S.P.) trees in the taiga of eastern Canada to describe how the age-related growth trend varies with stem height and evaluate associated biases in RCS chronologies built from living and subfossil trees. Results show that the age-related growth trends vary markedly and systematically along stems, potentially generating large methodological biases in RCS chronologies, especially near the recent chronology end. These biases may lead to erroneous reconstructions of recent climatic trends and cause false divergence between tree ring and climate series. We have developed a correction procedure that appears efficient in removing these biases from chronologies built with the lakeshore trees and associated subfossil logs. -- Keywords : Dendrochronology Paleoclimatology Tree ring chronology Subfossil tree Living tree Sampling height Methodological bias Boreal forest Picea mariana RCS standardization. Article in Journal/Newspaper taiga Université du Québec à Rimouski (UQAR): Sémaphore Canada Noire ENVELOPE(140.019,140.019,-66.666,-66.666) Dendrochronologia 36 13 22
spellingShingle Dendrochronologie
Paléoclimatologie
Arbres
Cernes
Erreurs systématiques
Hauteur
Échantillonnage
Épinette noire
Picea mariana
Autin, Julia
Gennaretti, Fabio
Arseneault, Dominique
Bégin, Yves
Biases in RCS tree ring chronologies due to sampling heights of trees
title Biases in RCS tree ring chronologies due to sampling heights of trees
title_full Biases in RCS tree ring chronologies due to sampling heights of trees
title_fullStr Biases in RCS tree ring chronologies due to sampling heights of trees
title_full_unstemmed Biases in RCS tree ring chronologies due to sampling heights of trees
title_short Biases in RCS tree ring chronologies due to sampling heights of trees
title_sort biases in rcs tree ring chronologies due to sampling heights of trees
topic Dendrochronologie
Paléoclimatologie
Arbres
Cernes
Erreurs systématiques
Hauteur
Échantillonnage
Épinette noire
Picea mariana
topic_facet Dendrochronologie
Paléoclimatologie
Arbres
Cernes
Erreurs systématiques
Hauteur
Échantillonnage
Épinette noire
Picea mariana
url https://semaphore.uqar.ca/id/eprint/1626/
https://semaphore.uqar.ca/id/eprint/1626/1/Julia_Autin_et_al_septembre2015.pdf
https://doi.org/10.1016/j.dendro.2015.08.002