Predicting timber properties from tree measurements at felling: Evaluation of the RetroSTEM model and TreeViz software for Norway spruce

Kantola, Anu; Härkönen, Sauli; Mäkinen, Harri; Mäkelä, Annikki

doi:10.1016/j.foreco.2008.02.034

Cited by 8 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Crown shape (m), as determined by the location and number of branches up the stem, as well as total branch mass, is indicative of the number of knots present in the timber and therefore its potential use for various wood products (Kantola et al, 2008). Dimensions of the living crown -sometimes substituted by simpler measures such as tree height, age and BDH -are widely used in modeling wood formation and predicting quality attributes (Houllier et al, 1995).…”

Section: Crown and Canopy Shape And Sizementioning

confidence: 99%

Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review

Leeuwen

Hilker

Coops

et al. 2011

Forest Ecology and Management

101

View full text Add to dashboard Cite

Section: Crown and Canopy Shape And Sizementioning

confidence: 99%

Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review

Leeuwen

Hilker

Coops

et al. 2011

Forest Ecology and Management

101

View full text Add to dashboard Cite

“…These include many of the applications for multiple sequence alignment and phylogenetic analysis. Once the MSA is complete, the SSWAP pipeline can further processes the sequences through FastTree (Price et al 2009) and Tree-Viz (Kantola et al 2008) to generate a phylogeny (Fig. 4).…”

Section: Discussionmentioning

confidence: 99%

CartograTree: connecting tree genomes, phenotypes and environment

Vasquez-Gross

Figueroa

et al. 2013

Molecular Ecology Resources

View full text Add to dashboard Cite

Today, researchers spend a tremendous amount of time gathering, formatting, filtering and visualizing data collected from disparate sources. Under the umbrella of forest tree biology, we seek to provide a platform and leverage modern technologies to connect biotic and abiotic data. Our goal is to provide an integrated web-based workspace that connects environmental, genomic and phenotypic data via geo-referenced coordinates. Here, we connect the genomic query web-based workspace, DiversiTree and a novel geographical interface called CartograTree to data housed on the TreeGenes database. To accomplish this goal, we implemented Simple Semantic Web Architecture and Protocol to enable the primary genomics database, TreeGenes, to communicate with semantic web services regardless of platform or back-end technologies. The novelty of CartograTree lies in the interactive workspace that allows for geographical visualization and engagement of high performance computing (HPC) resources. The application provides a unique tool set to facilitate research on the ecology, physiology and evolution of forest tree species. CartograTree can be accessed at: http://dendrome.ucdavis.edu/cartogratree.

show abstract

“…These data, together with a set of log grades and prices are then used to estimate potential stand value. Kantola et al (2009) demonstrated the potential applicability of the RetroSTEM model (Mäkelä et al, 2002;Kantola et al, 2008) in combination with the InnoSim sawing simulator to solving similar problems related to decision-making about harvests.…”

Section: Models and Simulators Applicable To The Harvest Problemmentioning

confidence: 99%

“…PipeQual (Mäkelä and Mäkinen, 2003;Kantola et al, 2007) is intermediate between these two, deriving growth from the carbon balance but using empirical growth-quality relationships for stem structure. RetroSTEM is a version of PipeQual where tree growth is calculated backwards with empirical functions (Mäkelä et al, 2002;Kantola et al, 2008).…”

Section: Case Studiesmentioning

confidence: 99%

“…Since then, a variety of empirical (Høibo et al, 1997;Mäkinen, 1999;Weiskittel et al, 2007) and theoretical (Mäkelä, 1997(Mäkelä, , 2002) studies have focused on the relationship between tree growth and stem structure, resulting in a number of 3-dimensional stem simulators (e.g. Win-EPIFN, Leban et al, 1996;BLOSSIM, Grace et al, 1999;2006;RetroSTEM, Mäkelä et al, 2002;Kantola et al, 2008).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Simulating wood quality in forest management models

Mäkelä

Grace²,

Deckmyn³

et al. 2010

For. syst.

Self Cite

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

Predicting timber properties from tree measurements at felling: Evaluation of the RetroSTEM model and TreeViz software for Norway spruce

Cited by 8 publications

References 23 publications

Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review

Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review

CartograTree: connecting tree genomes, phenotypes and environment

Simulating wood quality in forest management models

Contact Info

Product

Resources

About