Identifying ontogenetic, environmental and individual components of forest tree growth Export

@article{chaubert2009, abstract = {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. the length) along the trunk. Methods: Dedicated statistical models, called 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, we show 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 modeling approach to cambial growth in relation to climatic factors and the study of the relation between apical growth and cambial growth constitute the next steps in this research.}, author = {Chaubert-Pereira, Florence and Caraglio, Yves and Lavergne, Christian and Guedon, Yann}, citeulike-article-id = {6032287}, journal = {Annals of Botany}, keywords = {markov}, posted-at = {2009-10-29 14:18:04}, priority = {0}, title = {Identifying ontogenetic, environmental and individual components of forest tree growth}, year = {2009} }

TY - JOUR ID - chaubert2009 L3 - citeulike-article-id:6032287 N2 - 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. the length) along the trunk. Methods: Dedicated statistical models, called 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, we show 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 modeling approach to cambial growth in relation to climatic factors and the study of the relation between apical growth and cambial growth constitute the next steps in this research. JF - Annals of Botany TI - Identifying ontogenetic, environmental and individual components of forest tree growth KW - markov AU - Chaubert-Pereira, Florence AU - Caraglio, Yves AU - Lavergne, Christian AU - Guedon, Yann PY - 2009/// ER -