Predicting lumber grade and by-product yields for Scots pine trees

Lyhykäinen, Henna; Mäkinen, Harri; Mäkelä, Annikki; Pastila, Sami; Heikkilä, Antti; Usenius, Arto

doi:10.1016/j.foreco.2009.03.054

Cited by 25 publications

(17 citation statements)

References 20 publications

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“…The growth classes predicted from MNL show an alternative technique for forest growth modeling in Mediterranean forestry. Data in studies on topics such as differences among ecological guilds (Boltz and Carter, 2006), product distribution from regional inventories (Teeter and Zhou, 1998), and lumber grade and by-product yields in Scots pine (Lyhykäinen, Mäkinen et al, 2009) have been predicted by MNL regression. In Finland, strategic groups were identified by MNL, using forest-owner and forest-holding characteristics as explanatory variables (Kurttila, Hämäläinen et al, 2001).…”

Section: Mnl Growth Model For Mediterranean Pine Forestsmentioning

confidence: 99%

Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain

Escalante¹,

Pando²,

Ordóñez³

et al. 2011

Annals of Forest Science

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Introduction:Understanding diameter growth of the Mediterranean pine species is fundamental for evaluating and making appropriate strategic decisions in forest management. A matrix diameter growth model for two Mediterranean pine forests ecosystems in Spain has been developed. Methods:Multinomial logistic (MNL) regression was employed to estimate the transition probabilities of a matrix growth model. The model combines individual-tree and stand attributes and explores the effects of independent variables and their relationships with tree size and the probabilities of stand diameter growth. The aim was to predict growth of individual trees by diameter class for a five-year period.Results: MNL model results for diameter growth gave better predictions for Maritime pine (Pinus pinaster Aiton) than for Scots pine (Pinus sylvestris L.). Stand simulations showed that diameter growth probabilities depended on productivity and stand density. Stand simulations under fixed conditions showed that the probabilities of diameter growth increased as site productivity increased and decreased with increased stand density index. Conclusions:This study demonstrates the usefulness of matrix growth models as tools to predict growth in Mediterranean pine forests. Stand density and site productivity are key factors in explaining Scots pine and Maritime pine forest growth in the study area.

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Section: Mnl Growth Model For Mediterranean Pine Forestsmentioning

confidence: 99%

Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain

Escalante¹,

Pando²,

Ordóñez³

et al. 2011

Annals of Forest Science

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“…oak species can range from 590 to 930 kg/m 3 , while western redcedar is approximately 380 kg/m 3 ). At the tree scale, knot size, type and placement (Duchesne et al, 1997), crown development (Mansfield et al, 2007;Lyhykäinen et al, 2009), branch size and branch placement (Mäkinen and Colin, 1998), stem diameter, ring width and cambial age (Amarasekara and Denne, 2002;Wilhelmsson et al, 2002) of the wood have all been shown to influence wood fiber properties. More broadly, at the stand scale, stocking density, thinning (commercial and pre-commercial), moisture and nutrient availability (including fertilization), climate, competition, and disturbance are also important determinants of wood properties, with responses varying by location, species and clones (Watt et al, 2006;Wilhelmsson et al, 2002;Ramirez et al, 2009).…”

Section: Introductionmentioning

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

102

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“…Therefore, the initial states used in the present study are well representative for Scots pine in Finnish conditions. In this study we employed the process-based growth model, PipeQual (Mäkelä 1997(Mäkelä , 2002Mäkelä and Mäkinen 2003), as the stand growth simulator, and models for predicting sawn wood grading of Scots pine (Lyhykäinen et al 2009), as the sawing simulator. The process-based model was first linked with an economic optimization model in Hyytiäinen et al (2004).…”

Section: Methodsmentioning

confidence: 99%

“…In this study, multinomial logistic regression models for predicting yields of lumber grades and by-products of individual Scots pine trees developed by Lyhykäinen et al (2009) were linked with the PipeQual simulator. The sawn wood grading models use stem and crown dimensions as explanatory variables.…”

Section: Methodsmentioning

confidence: 99%

An integrated assessment approach to optimal forest bioenergy production for young Scots pine stands

Cao

Hyytiäinen

Hurttala³

et al. 2015

For. Ecosyst.

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Background: Bioenergy is re-shaping opportunities and imperatives of forest management. This study demonstrates, through a case study in Scots pine (Pinus sylvestris L.), how forest bioenergy policies affect stand management strategies. Methods: Optimization studies were examined for 15 Scots pine stands of different initial stand densities, site types, and temperature sum regions in Finland. Stand development was modelled using the PipeQual stand simulator coupled with the simulation-optimization tool OptiFor Bioenergy to assess three forest bioenergy policies on energy wood harvest from early thinnings. Results: The optimal solutions maximizing bare land value indicate that conventional forest management regimes remain optimal for sparse stands. Energy harvests occurred only when profitable, led to lower financial returns. A forest bioenergy policy which included compulsory energy wood harvesting was optimal for denser stands. At a higher interest rate (4 %), increasing energy wood price postponed energy wood harvesting. In addition, our results show that early thinning somewhat reduced wood quality for stands in fertile sites. For less fertile sites, the changes were insignificant. Conclusions: A constraint of profitable energy wood harvest is not rational. It is optimal to carry out the first thinning with a flexible forest bioenergy policy depending on stand density.

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Predicting lumber grade and by-product yields for Scots pine trees

Cited by 25 publications

References 20 publications

Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain

Multinomial logit estimation of a diameter growth matrix model of two Mediterranean pine species in Spain

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

An integrated assessment approach to optimal forest bioenergy production for young Scots pine stands

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