The influence of site quality, silviculture and region on wood density mixed model in Quercus petraea Liebl.

Guilley, Édith; Hervé, Jean-Christophe; Nepveu, Gérard

doi:10.1016/j.foreco.2003.07.033

Cited by 56 publications

(75 citation statements)

References 13 publications

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“…The random tree effects (α i ) were assumed to follow a multivariate normal distribution N(0,G) with variancecovariance matrix G and the residual errors (ε i j ) were assumed to be within-tree auto-correlated according to a first-order autoregressive process, and inter-tree independent. This form is similar, except for the inclusion of CA 2 as an explanatory variable, to that considered by Guilley et al (2004) A similar approach was considered for modelling the distribution of volumetric shrinkage (VS):…”

Section: Methodsmentioning

confidence: 99%

Physical properties of wood in thinned Scots pines (Pinus sylvestris L.) from plantations in northern Spain

2008

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-• The physical properties of wood and the associated variations within and between trees were evaluated by analysing 770 small specimens of clear wood from 11 Pinus sylvestris L. trees thinned from 3 plantations.• Within-tree variations in basic density or volumetric shrinkage increased with cambial age and decreased with increasing ring width. The effect of the height in the stem on wood properties was considered indirect and height was not included as an explanatory variable in the mixed models proposed to estimate basic density and volumetric shrinkage.• The models had random components for the intercept parameter and explained 52.5% of the total variance in basic density and 56% of the total variance in volumetric shrinkage. Linear shrinkage in the direction of the grain was extremely variable.• Between-tree variation and between-plot variation in the physical properties of wood were high, considering that all trees sampled were growing in similar sites and stands. It would then be desirable to predict physical properties of wood on living trees in order to use the quality of wood as a criterion for timber tree selection in thinnings. Scots pine / Pinus sylvestris / wood properties / thinning Résumé -Propriétés physiques du bois de pin sylvestre (Pinus sylvestris L.) issu d'éclaircie dans des plantations du nord de l'Espagne.• Les propriétés physiques du bois et leurs variations intra et inter arbres ont été évaluées à partir de l'analyse de 770 éprouvettes de bois sans noeuds de 11 arbres d'éclaircie répartis sur 3 sites.• La densité et le retrait volumétrique augmentaient dans chaque arbre avec l'âge du cambium et diminuaient avec la largeur de cerne. On a considéré que la hauteur dans la tige n'avait qu'un effet indirect sur les propriétés du bois, aussi la hauteur a-t-elle été exclue des variables explicatives dans les modèles mixtes proposés pour estimer la densité et le retrait volumétrique.• Ces modèles présentent une composante aléatoire pour le terme constant et peuvent expliquer 52,5 % de la variabilité totale de la densité basique et 56 % de la variabilité totale du retrait volumétrique.• Le retrait longitudinal est extrêmement variable. La variation entre arbres et entre sites est très importante, compte tenu de la similarité des peuplements et sites étudiés.pin sylvestre / Pinus sylvestris / propriétés du bois / éclaircie

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Section: Methodsmentioning

confidence: 99%

Physical properties of wood in thinned Scots pines (Pinus sylvestris L.) from plantations in northern Spain

2008

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“…There were several reports that (annual) ring density decreases with increasing ring width, for instance in Norway spruce (Bergqvist, 1998;Dutilleul et al, 1998;Lundgren, 2004;Bouriaud et al, 2005;Franceschini et al, 2010Franceschini et al, , 2013. Wood density was also proved to vary between trees (Wilhelmsson et al, 2002;Guilley et al, 2004), a fact which is never accounted for in studies using diameter surveys to produce biomass increment estimations.…”

Section: O Bouriaud Et Al: Influence Of Wood Density On Productivitymentioning

confidence: 99%

“…The relation between wood density, ring width, and cambial age were proven to fluctuate between trees sampled within a same stand for many species: oak (Guilley et al, 2004;Bergès et al, 2008), common beech (Bouriaud et al, 2004), Norway spruce (Mäkinen et al, 2002;Jaakola et al, 2005;Franceschini et al, 2010). For a given radial growth rate, the trees are building more or less biomass and so storing more or less carbon, according to the density of the wood.…”

Section: Variations Between Treesmentioning

confidence: 99%

Influence of wood density in tree-ring-based annual productivity assessments and its errors in Norway spruce

et al. 2015

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Abstract. Estimations of tree annual biomass increments are used by a variety of studies related to forest productivity or carbon fluxes. Biomass increment estimations can be easily obtained from diameter surveys or historical diameter reconstructions based on tree rings' records. However, the biomass models rely on the assumption that wood density is constant. Converting volume increment into biomass also requires assumptions about the wood density. Wood density has been largely reported to vary both in time and between trees. In Norway spruce, wood density is known to increase with decreasing ring width. This could lead to underestimating the biomass or carbon deposition in bad years. The variations between trees of wood density have never been discussed but could also contribute to deviations. A modelling approach could attenuate these effects but will also generate errors.Here a model of wood density variations in Norway spruce, and an allometric model of volume growth were developed. We accounted for variations in wood density both between years and between trees, based on specific measurements. We compared the effects of neglecting each variation source on the estimations of annual biomass increment. We also assessed the errors of the biomass increment predictions at tree level, and of the annual productivity at plot level.Our results showed a partial compensation of the decrease in ring width in bad years by the increase in wood density. The underestimation of the biomass increment in those years reached 15 %. The errors related to the use of an allometric model of volume growth were modest, around ±15 %. The errors related to variations in wood density were much larger, the biggest component being the inter-tree variability. The errors in plot-level annual biomass productivity reached up to 40 %, with a full account of all the error sources.

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“…Generally these factors affect ring density via the effects in ring width (Guilley et al 2004). Nevertheless, wood density can follow a complex pattern with important changes principally in juvenile wood (Zobel and Sprague 1998).…”

Section: Discussionmentioning

confidence: 99%

Phenotypic variation of basic wood density in Pinus ponderosa plus trees

et al. 2011

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SUMMARYPhenotypic selection generally reduces the variability of both the selected trait and other associated characteristics. Some species show a negative strong relationship between growth traits and wood density. In the present study, basic wood density was assessed in a group of 23 control trees and 25 Pinus ponderosa plus trees, selected for growth and form traits in the Argentine Patagonia region. Trees were sampled in four different sites from the environmental and silvicultural point of view. We aim to study if the phenotypic variation in wood density is somehow influenced by the selection for productivity and form. The average wood density of plus trees was 0.37 g cm -3 , ranging from 0.29 to 0.46 g cm -3 . These values were not significantly different to control trees and were similar to those previously found in P. ponderosa plantations growing in the region. Wood density of the improved population, represented by plus trees did not differ from that of base population from which plus trees were selected. Significant differences were found in wood basic density among sites and age-classes. The phenotypic variation of the increment of wood density from pith to bark and among trees was different from zero. Not significant association was found between wood basic density and growth and form traits, except for stem straightness. It would be possible to identify high wood density trees at half of the rotation age.Key words: specific wood density, repeated measurements, genetic breeding, Patagonian, Argentine. RESUMENLa selección fenotípica generalmente reduce la variabilidad de los caracteres seleccionados y la de los caracteres asociados. Algunas especies muestran asociación negativa entre crecimiento y densidad de la madera. En este estudio, se evaluó la densidad básica de la madera en un grupo de 23 árboles control y 25 árboles plus de Pinus ponderosa seleccionados por criterios de crecimiento y forma en la región norpatagónica de Argentina. Las muestras provinieron de cuatro sitios con diferente clima y silvicultura. El objetivo fue determinar si la variación fenotípica de la densidad de la madera pudo haber sido afectada por la selección para productividad y forma. La densidad media de la madera de los arboles plus fue de 0,37 g cm -3 , variando desde 0,29 hasta 0,46 g cm -3 . Estos valores no fueron significativamente diferentes a los registrados en los árboles control y similares a los previamente registrados para P. ponderosa creciendo en la región. La densidad de la madera de la población de mejora (árboles plus) no difirió de la población base donde fue seleccionada. Diferencias significativas para la densidad de la madera se pudieron establecer entre sitios y clases de edad. El incremento de la densidad desde la médula hacia la corteza y la variación fenotípica entre árboles fue significativamente diferente de cero. La densidad no se encontró asociada a las características de crecimiento y forma, por las cuales los árboles plus fueron seleccionados, excepto con la rectitud de fuste. Sería posible...

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The influence of site quality, silviculture and region on wood density mixed model in Quercus petraea Liebl.

Cited by 56 publications

References 13 publications

Physical properties of wood in thinned Scots pines (Pinus sylvestris L.) from plantations in northern Spain

Physical properties of wood in thinned Scots pines (Pinus sylvestris L.) from plantations in northern Spain

Influence of wood density in tree-ring-based annual productivity assessments and its errors in Norway spruce

Phenotypic variation of basic wood density in Pinus ponderosa plus trees

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