Resin pocket occurrence in Norway spruce depending on tree and climate variables

Seifert, Thomas; J, Breibeck; Seifert, Stefan; Biber, Peter

doi:10.1016/j.foreco.2010.03.024

Cited by 15 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The data from CT-scanners can also be used for research purposes. In this field it can be used for analysing branch angles, stem form, knot occlusion (Seifert et al, 2010) and, if weather data is available, the reaction of the tree to certain environmental conditions can even be analysed.…”

Section: Objectivesmentioning

confidence: 99%

“…While proven a versatile method in tree and wood research (e.g. Nikolova et al 2009, Seifert et al 2010) the disadvantage of CT-scanning is that it is very expensive. CT scanning systems are usually also located in a laboratory not necessarily close to forests (although portable CT scanners have been developed in the past i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Information obtained in this study regarding branches, will be used in another study. Temnerud et al (1999) and Seifert et al (2010), in accordance with Larson (1994), chose to define resin pockets as: "...an intercellular circumferentially elongated pocket in the xylem with resin and wound tissue, which is usually occluded the same year as it is formed." A resin pocket is considered as a defect in some wood products as it decreases the value of timber and veneer and there is a need to understand the occurrence and causes of formation better.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A method for three-dimensional stem analysis and its application in a study on the occurrence of resin pockets in Pinus patula

et al. 2017

View full text Add to dashboard Cite

Section: Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A method for three-dimensional stem analysis and its application in a study on the occurrence of resin pockets in Pinus patula

et al. 2017

View full text Add to dashboard Cite

“…Some virtual stem models also consider the irregular shape of the stem profile, with the possibility of lean, warp (Moberg, 1999;Usenius, 2002;Hapca et al, 2007) and asymmetrical circumference about the pith (Leban et al, 2002). Defects such as resin pockets (Seifert et al, 2010) and compression wood (Leban et al, 2002) have also been included in some of the recent virtual stem models.…”

Section: Model Complexitymentioning

confidence: 99%

“…Importantly, these parameters include defects that contribute to the variability in wood properties within the stem, such as reaction (compression) wood, resin pockets, and the distribution of different types of knot (Leban et al, 2002;Seifert et al, 2010). Another important feature with impacts on wood quality are the mechanical stresses that develop in trees as they grow (Archer, 1987;Kubler, 1987;Eder et al, 2009), causing crook and warp when released in utilisable timber.…”

Section: Challengesmentioning

confidence: 99%

Simulating wood quality in forest management models

Mäkelä

Grace²,

Deckmyn³

et al. 2010

For. syst.

View full text Add to dashboard Cite

The raw material properties of wood develop as the tree grows, laying down wood cells with specific properties, and forming the stem structure that is the basis of timber quality. This development is influenced by genetic and environmental factors and forest management practices. It is desirable in growth and yield models intended for the economic assessment of management practices to include some indication of wood quality and how it is affected by genetics, environmental factors and silvicultural measures.In forestry, understanding the development and variation of wood quality is important for different management and planning problems which can be broadly classif ied under (1) management for harvest operations, and (2) long-term silvicultural planning. This paper reviews approaches and models that allow us to study these two problems in quantitative terms. We start the review by discussing the concept of «wood quality model», then classify the approaches on the basis of their complexity, underlying principle and intended application. We illustrate three advanced dynamic quality models and their applications with example case studies. These include empirical, hybrid, and mechanistic models applied to predictions of both sawn timber and fibre properties. Finally, we consider the current challenges for wood quality modelling in connection with forest management.Key words: wood quality; mixed models; empirical models; hybrids models. ResumenSimulación de la calidad de madera en los modelos de gestión forestal Las propiedades de la madera se desarrollan cuando crece el arbol, estableciendose las células de la madera con propiedades específicas, y formandose la estructura del tronco que es central para la calidad de la madera. Esta desarrollo se ve influido por factores genéticos y ambientales y por las prácticas de gestión forestal. Es deseable incluir en los modelos de crecimiento y producción destinados a la evaluación económica de las prácticas de gestión una indicación de la calidad de la madera y cómo se ve afectada por factores genéticos y ambientales y por las medidas silvícolas.En el sector forestal, la comprensión del desarrollo y la variación de la calidad de la madera es importante en distintos programas de gestión y planificación que se pueden clasificar en (1) la gestión de las operaciones de cosecha, y (2) la planificación silvícola a largo plazo. Este artículo discute los principales enfoques y modelos que nos permiten estudiar estos dos problemas en términos cuantitativos. Comenzamos la revisión discutiendo el concepto de «mo-delo de calidad de madera», y luego clasificamos los enfoques sobre la base de su complejidad, el principio subyacente y el uso previsto. Mostramos tres modelos dinámicos avanzados de calidad y sus aplicaciones con estudios de casos. Estos incluyen modelos empíricos, híbridos y mecánicistas aplicadaos a las predicciones tanto de la madera aserrada como a las propiedades de la fibra. Por último, consideramos los retos actuales para el modelado de la calidad de la madera...

show abstract

Analysis of regional species distribution models based on radio‐telemetry datasets from multiple small‐scale studies

et al. 2013

View full text Add to dashboard Cite

The identification of core habitat areas and resulting prediction maps are vital tools for land managers. Often, agencies have large datasets from multiple studies over time that could be combined for a more informed and complete picture of a species. Colorado Parks and Wildlife has a large database for greater sage‐grouse (Centrocercus urophasianus) including 11 radio‐telemetry studies completed over 12 years (1997–2008) across northwestern Colorado. We divided the 49,470‐km2 study area into 1‐km2 grids with the number of sage‐grouse locations in each grid cell that contained at least 1 location counted as the response variable. We used a generalized linear mixed model (GLMM) using land cover variables as fixed effects and individual birds and populations as random effects to predict greater sage‐grouse location counts during breeding, summer, and winter seasons. The mixed effects model enabled us to model correlations that may exist in grouped data (e.g., correlations among individuals and populations). We found only individual groupings accounted for variation in the summer and breeding seasons, but not the winter season. The breeding and summer seasonal models predicted sage‐grouse presence in the currently delineated populations for Colorado, but we found little evidence supporting a winter season model. According to our models, about 50% of the study area in Colorado is considered highly or moderately suitable habitat in both the breeding and summer seasons. As oil and gas development and other landscape changes occur in this portion of Colorado, knowledge of where management actions can be accomplished or possible restoration can occur becomes more critical. These seasonal models provide data‐driven, distribution maps that managers and biologists can use for identification and exploration when investigating greater sage‐grouse issues across the Colorado range. Using historic data for future decisions on species management while accounting for issues found from combining datasets allows land managers the flexibility to use all information available. © 2013 The Wildlife Society.

show abstract

Resin pocket occurrence in Norway spruce depending on tree and climate variables

Cited by 15 publications

References 16 publications

A method for three-dimensional stem analysis and its application in a study on the occurrence of resin pockets in Pinus patula

A method for three-dimensional stem analysis and its application in a study on the occurrence of resin pockets in Pinus patula

Simulating wood quality in forest management models

Analysis of regional species distribution models based on radio‐telemetry datasets from multiple small‐scale studies

Contact Info

Product

Resources

About