Identifying ontogenetic, environmental and individual components of forest tree growth
Background and Aims: This study aimed to identify and characterize the ontogenetic, environmental and individual components of forest tree growth. In the proposed approach, the tree growth data typically correspond to the retrospective measurement of annual shoot characteristics (e.g. length) along the trunk. Methods: Dedicated statistical models (semi-Markov switching linear mixed models) were applied to data sets of Corsican pine and sessile oak. In the semi-Markov switching linear mixed models estimated from these data sets, the underlying semi-Markov chain represents both the succession of growth phases and their lengths, while the linear mixed models represent both the influence of climatic factors and the inter-individual heterogeneity within each growth phase. Key Results: On the basis of these integrative statistical models, it is shown that growth phases are not only defined by average growth level but also by growth fluctuation amplitudes in response to climatic factors and inter-individual heterogeneity and that the individual tree status within the population may change between phases. Species plasticity affected the response to climatic factors while tree origin, sampling strategy and silvicultural interventions impacted inter-individual heterogeneity. Conclusions: The transposition of the proposed integrative statistical modelling approach to cambial growth in relation to climatic factors and the study of the relationship between apical growth and cambial growth constitute the next steps in this research.
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Subjects: | U10 - Informatique, mathématiques et statistiques, F62 - Physiologie végétale - Croissance et développement, P40 - Météorologie et climatologie, K01 - Foresterie - Considérations générales, arbre forestier, Pinus nigra, Quercus petraea, http://aims.fao.org/aos/agrovoc/c_3052, http://aims.fao.org/aos/agrovoc/c_5901, http://aims.fao.org/aos/agrovoc/c_24692, http://aims.fao.org/aos/agrovoc/c_1442, |
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dig-cirad-fr-5517842024-01-28T17:42:53Z http://agritrop.cirad.fr/551784/ http://agritrop.cirad.fr/551784/ Identifying ontogenetic, environmental and individual components of forest tree growth. Chaubert-Pereira Florence, Caraglio Yves, Lavergne Christian, Guédon Yann. 2009. Annals of Botany, 104 (5) : 883-896.https://doi.org/10.1093/aob/mcp189 <https://doi.org/10.1093/aob/mcp189> Identifying ontogenetic, environmental and individual components of forest tree growth Chaubert-Pereira, Florence Caraglio, Yves Lavergne, Christian Guédon, Yann eng 2009 Annals of Botany U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 Centre (France) http://aims.fao.org/aos/agrovoc/c_1442 Background and Aims: This study aimed to identify and characterize the ontogenetic, environmental and individual components of forest tree growth. In the proposed approach, the tree growth data typically correspond to the retrospective measurement of annual shoot characteristics (e.g. length) along the trunk. Methods: Dedicated statistical models (semi-Markov switching linear mixed models) were applied to data sets of Corsican pine and sessile oak. In the semi-Markov switching linear mixed models estimated from these data sets, the underlying semi-Markov chain represents both the succession of growth phases and their lengths, while the linear mixed models represent both the influence of climatic factors and the inter-individual heterogeneity within each growth phase. Key Results: On the basis of these integrative statistical models, it is shown that growth phases are not only defined by average growth level but also by growth fluctuation amplitudes in response to climatic factors and inter-individual heterogeneity and that the individual tree status within the population may change between phases. Species plasticity affected the response to climatic factors while tree origin, sampling strategy and silvicultural interventions impacted inter-individual heterogeneity. Conclusions: The transposition of the proposed integrative statistical modelling approach to cambial growth in relation to climatic factors and the study of the relationship between apical growth and cambial growth constitute the next steps in this research. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/551784/1/document_551784.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1093/aob/mcp189 10.1093/aob/mcp189 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=201876 info:eu-repo/semantics/altIdentifier/doi/10.1093/aob/mcp189 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1093/aob/mcp189 |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 http://aims.fao.org/aos/agrovoc/c_1442 U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 http://aims.fao.org/aos/agrovoc/c_1442 |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 http://aims.fao.org/aos/agrovoc/c_1442 U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 http://aims.fao.org/aos/agrovoc/c_1442 Chaubert-Pereira, Florence Caraglio, Yves Lavergne, Christian Guédon, Yann Identifying ontogenetic, environmental and individual components of forest tree growth |
description |
Background and Aims: This study aimed to identify and characterize the ontogenetic, environmental and individual components of forest tree growth. In the proposed approach, the tree growth data typically correspond to the retrospective measurement of annual shoot characteristics (e.g. length) along the trunk. Methods: Dedicated statistical models (semi-Markov switching linear mixed models) were applied to data sets of Corsican pine and sessile oak. In the semi-Markov switching linear mixed models estimated from these data sets, the underlying semi-Markov chain represents both the succession of growth phases and their lengths, while the linear mixed models represent both the influence of climatic factors and the inter-individual heterogeneity within each growth phase. Key Results: On the basis of these integrative statistical models, it is shown that growth phases are not only defined by average growth level but also by growth fluctuation amplitudes in response to climatic factors and inter-individual heterogeneity and that the individual tree status within the population may change between phases. Species plasticity affected the response to climatic factors while tree origin, sampling strategy and silvicultural interventions impacted inter-individual heterogeneity. Conclusions: The transposition of the proposed integrative statistical modelling approach to cambial growth in relation to climatic factors and the study of the relationship between apical growth and cambial growth constitute the next steps in this research. |
format |
article |
topic_facet |
U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement P40 - Météorologie et climatologie K01 - Foresterie - Considérations générales arbre forestier Pinus nigra Quercus petraea http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_5901 http://aims.fao.org/aos/agrovoc/c_24692 http://aims.fao.org/aos/agrovoc/c_1442 |
author |
Chaubert-Pereira, Florence Caraglio, Yves Lavergne, Christian Guédon, Yann |
author_facet |
Chaubert-Pereira, Florence Caraglio, Yves Lavergne, Christian Guédon, Yann |
author_sort |
Chaubert-Pereira, Florence |
title |
Identifying ontogenetic, environmental and individual components of forest tree growth |
title_short |
Identifying ontogenetic, environmental and individual components of forest tree growth |
title_full |
Identifying ontogenetic, environmental and individual components of forest tree growth |
title_fullStr |
Identifying ontogenetic, environmental and individual components of forest tree growth |
title_full_unstemmed |
Identifying ontogenetic, environmental and individual components of forest tree growth |
title_sort |
identifying ontogenetic, environmental and individual components of forest tree growth |
url |
http://agritrop.cirad.fr/551784/ http://agritrop.cirad.fr/551784/1/document_551784.pdf |
work_keys_str_mv |
AT chaubertpereiraflorence identifyingontogeneticenvironmentalandindividualcomponentsofforesttreegrowth AT caraglioyves identifyingontogeneticenvironmentalandindividualcomponentsofforesttreegrowth AT lavergnechristian identifyingontogeneticenvironmentalandindividualcomponentsofforesttreegrowth AT guedonyann identifyingontogeneticenvironmentalandindividualcomponentsofforesttreegrowth |
_version_ |
1792497392683057152 |