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...
Published in: | Dendrochronologia |
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Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | French |
Published: |
2015
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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 Noire |
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 |
record_format | openpolar |
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 |