single-substrate model to interpret intra-annual stable isotope signals in tree-ring cellulose

The carbon and oxygen stable isotope composition of wood cellulose (δ¹³Ccellulose and δ¹⁸Ocellulose, respectively) reveal well-defined seasonal variations that contain valuable records of past climate, leaf gas exchange and carbon allocation dynamics within the trees. Here, we present a single-subst...

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Veröffentlicht in:Plant, cell and environment cell and environment, 2009-08, Vol.32 (8), p.1071-1090
Hauptverfasser: OGÉE, J, BARBOUR, M.M, WINGATE, L, BERT, D, BOSC, A, STIEVENARD, M, LAMBROT, C, PIERRE, M, BARIAC, T, LOUSTAU, D, DEWAR, R.C
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container_end_page 1090
container_issue 8
container_start_page 1071
container_title Plant, cell and environment
container_volume 32
creator OGÉE, J
BARBOUR, M.M
WINGATE, L
BERT, D
BOSC, A
STIEVENARD, M
LAMBROT, C
PIERRE, M
BARIAC, T
LOUSTAU, D
DEWAR, R.C
description The carbon and oxygen stable isotope composition of wood cellulose (δ¹³Ccellulose and δ¹⁸Ocellulose, respectively) reveal well-defined seasonal variations that contain valuable records of past climate, leaf gas exchange and carbon allocation dynamics within the trees. Here, we present a single-substrate model for wood growth to interpret seasonal isotopic signals collected in an even-aged maritime pine plantation growing in South-west France, where climate, soil and flux variables were also monitored. Observed seasonal patterns in δ¹³Ccellulose and δ¹⁸Ocellulose were different between years and individuals, and mostly captured by the model, suggesting that the single-substrate hypothesis is a good approximation for tree ring studies on Pinus pinaster, at least for the environmental conditions covered by this study. A sensitivity analysis revealed that the model was mostly affected by five isotopic discrimination factors and two leaf gas-exchange parameters. Modelled early wood signals were also very sensitive to the date when cell wall thickening begins (twt). Our model could therefore be used to reconstruct twt time series and improve our understanding of how climate influences this key parameter of xylogenesis.
doi_str_mv 10.1111/j.1365-3040.2009.01989.x
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Our model could therefore be used to reconstruct twt time series and improve our understanding of how climate influences this key parameter of xylogenesis.</abstract><cop>Oxford, UK</cop><pub>Oxford, UK : Blackwell Publishing Ltd</pub><pmid>19422614</pmid><doi>10.1111/j.1365-3040.2009.01989.x</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-3990-400X</orcidid><orcidid>https://orcid.org/0000-0003-1921-1556</orcidid><orcidid>https://orcid.org/0000-0002-7467-2577</orcidid><orcidid>https://orcid.org/0000-0002-3365-8584</orcidid></addata></record>
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source MEDLINE; Wiley Online Library; Wiley Free Archive; Alma/SFX Local Collection; EZB Electronic Journals Library
subjects biogeochemical cycles
Biological and medical sciences
carbon
Carbon - analysis
carbon cycle
carbon isotope
Carbon Isotopes - analysis
Cellulose - analysis
Cellulose - chemistry
Climate
Continental interfaces, environment
dendroclimatology
Environmental Sciences
France
Fundamental and applied biological sciences. Psychology
Global Changes
hydrologic cycle
isotopes
Models, Biological
oxygen
Oxygen - analysis
oxygen isotope
Oxygen Isotopes - analysis
Pinus - chemistry
Pinus - growth & development
Sciences of the Universe
Seasons
Soil - analysis
Trees - chemistry
Trees - growth & development
water cycle
Wood - analysis
Wood - chemistry
xylogenesis
title single-substrate model to interpret intra-annual stable isotope signals in tree-ring cellulose
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