Category :
Research article
article id 204,
category
Research article
Gaby Deckmyn,
Bostjan Mali,
Hojka Kraigher,
Niko Torelli,
Maarten Op de Beeck,
Reinhart Ceulemans.
(2009).
Using the process-based stand model ANAFORE including Bayesian optimisation to predict wood quality and quantity and their uncertainty in Slovenian beech.
Silva Fennica
vol.
43
no.
3
article id 204.
https://doi.org/10.14214/sf.204
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The purpose of this study was to expand an existing semi-mechanistic forest model, ANAFORE (ANAlysing Forest Ecosystems), to allow for the prediction of log quality and the accompanying uncertainty as influenced by climate and management. The forest stand is described as consisting of trees of different cohorts, either of the same or of different species (deciduous or coniferous). In addition to photosynthesis, transpiration, total growth and yield, the model simulates the daily evolution in vessel biomass and radius, parenchyma and branch development. From these data early and latewood biomass, wood tissue composition, knot formation and density are calculated. The new version presented here, includes the description of log quality, including red heart formation of beeches. A Bayesian optimisation routine for the species parameters was added to the stand model. From a given range of input parameters (prior), the model calculates an optimised range for the parameters (posterior) based on given output data, as well as an uncertainty on the predicted values. A case study was performed for Slovenian beech forests to illustrate the main model functioning and more in particular the simulation of the wood quality. The results indicate that the ANAFORE model is a useful tool for analyzing wood quality development and forest ecosystem functioning in response to management, climate and stand characteristics. However, the Bayesian optimization showed that the remaining uncertainty on the input parameters for the chosen stand was very large, due to the large number of input parameters in comparison to the limited stand data.
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Deckmyn,
Research Group Plant and Vegetation Ecology, University of Antwerpen, Universiteitsplein 1, 2610 Antwerpen, Belgium
E-mail:
gaby.deckmyn@ua.ac.be
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Mali,
Slovenian Forestry Institute, Vecna pot 2, 1000 Ljubljana, Slovenia
E-mail:
bm@nn.si
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Kraigher,
Slovenian Forestry Institute, Vecna pot 2, 1000 Ljubljana, Slovenia
E-mail:
hk@nn.si
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Torelli,
Slovenian Forestry Institute, Vecna pot 2, 1000 Ljubljana, Slovenia
E-mail:
nt@nn.si
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Op de Beeck,
Research Group Plant and Vegetation Ecology, University of Antwerpen, Universiteitsplein 1, 2610 Antwerpen, Belgium
E-mail:
modb@nn.be
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Ceulemans,
Research Group Plant and Vegetation Ecology, University of Antwerpen, Universiteitsplein 1, 2610 Antwerpen, Belgium
E-mail:
rc@nn.be
article id 203,
category
Research article
Matti Maltamo,
Jussi Peuhkurinen,
Jukka Malinen,
Jari Vauhkonen,
Petteri Packalén,
Timo Tokola.
(2009).
Predicting tree attributes and quality characteristics of Scots pine using airborne laser scanning data.
Silva Fennica
vol.
43
no.
3
article id 203.
https://doi.org/10.14214/sf.203
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The development of airborne laser scanning (ALS) during last ten years has provided new possibilities for accurate description of the living tree stock. The forest inventory applications of ALS data include both tree and area-based plot level approaches. The main goal of such applications has usually been to estimate accurate information on timber quantities. Prediction of timber quality has not been focused to the same extent. Thus, in this study we consider here the prediction of both basic tree attributes (tree diameter, height and volume) and characteristics describing tree quality more closely (crown height, height of the lowest dead branch and sawlog proportion of tree volume) by means of high resolution ALS data. The tree species considered is Scots pine (Pinus sylvestris), and the field data originate from 14 sample plots located in the Koli National Park in North Karelia, eastern Finland. The material comprises 133 trees, and size and quality variables of these trees were modeled using a large number of potential independent variables calculated from the ALS data. These variables included both individual tree recognition and area-based characteristics. Models for the dependent tree characteristics to be considered were then constructed using either the non-parametric k-MSN method or a parametric set of models constructed simultaneously by the Seemingly Unrelated Regression (SUR) approach. The results indicate that the k-MSN method can provide more accurate tree-level estimates than SUR models. The k-MSN estimates were in fact highly accurate in general, the RMSE being less than 10% except in the case of tree volume and height of the lowest dead branch.
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Maltamo,
University of Joensuu, Faculty of Forest Sciences, FI-80101 Joensuu, Finland
E-mail:
matti.maltamo@joensuu.fi
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Peuhkurinen,
University of Joensuu, Faculty of Forest Sciences, FI-80101 Joensuu, Finland
E-mail:
jp@nn.fi
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Malinen,
Finnish Forest Research Institute, Joensuu Research Unit, FI-80101 Joensuu, Finland
E-mail:
jm@nn.fi
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Vauhkonen,
University of Joensuu, Faculty of Forest Sciences, FI-80101 Joensuu, Finland
E-mail:
jv@nn.fi
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Packalén,
University of Joensuu, Faculty of Forest Sciences, FI-80101 Joensuu, Finland
E-mail:
pp@nn.fi
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Tokola,
University of Joensuu, Faculty of Forest Sciences, FI-80101 Joensuu, Finland
E-mail:
tt@nn.fi
article id 202,
category
Research article
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Information on the potential wood supply is important for the wood industry. In this study, the future development of growing stock, cutting potential and wood properties corresponding to the regional scenario of North Karelian Forest Programme 2006–2010 was analysed. The simulations were performed by employing the Finnish MELA system together with the sample plot and tree data of the 9th Finnish National Forest Inventory (NFI9) as initial data for the simulations. Disc-based models for basic wood density, proportion of latewood and fibre length of Norway spruce and Scots pine in Sweden were calibrated and integrated into the MELA system. The wood properties at breast height of both harvested and standing trees were analysed in different strata (age, site type and cutting method) during the scenario period of 50 years (2002–2052). The average wood properties within the same strata varied only slightly over time. However, the results for different strata differed considerably. In general, wood density, fibre length and proportion of latewood increased, on average, as a function of tree age and along with a decrease in site fertility (excl. wood density and proportion of latewood in harvested Norway spruce in the first case and fibre length in the latter case for both species). For trees less than 80 years, properties in harvested trees were equal to or slightly greater than those of standing trees. The values for clear-cuttings were greater or equal to those of thinnings (excl. wood density and proportion of latewood in Norway spruce). The study demonstrates the value of model-based analyses utilising NFI tree measurements in regions that are considered to be sources of raw material.
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Nuutinen,
European Forest Institute, Torikatu 34, FI-80100 Joensuu, Finland
E-mail:
tuula.nuutinen@efi.int
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Kilpeläinen,
University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
E-mail:
ak@nn.fi
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Hirvelä,
Finnish Forest Research Institute, P.O. Box 18, FI-01301 Vantaa, Finland
E-mail:
hh@nn.fi
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Härkönen,
Finnish Forest Research Institute, P.O. Box 18, FI-01301 Vantaa, Finland
E-mail:
kh@nn.fi
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Ikonen,
University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
E-mail:
vpi@nn.fi
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Lempinen,
Finnish Forest Research Institute, P.O. Box 68, FI-80101 Joensuu, Finland
E-mail:
rl@nn.fi
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Peltola,
University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
E-mail:
hp@nn.fi
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Wilhelmsson,
Skogforsk, Uppsala Science Park, SE-751 83 Uppsala, Sweden
E-mail:
lw@nn.fi
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Kellomäki,
University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
E-mail:
sk@nn.fi
article id 201,
category
Research article
Rui Qi,
Véronique Letort,
Mengzhen Kang,
Paul-Henry Cournède,
Philippe de Reffye,
Thierry Fourcaud.
(2009).
Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study.
Silva Fennica
vol.
43
no.
3
article id 201.
https://doi.org/10.14214/sf.201
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The GreenLab model was used to study the interaction between source-sink dynamics at the whole tree level, wood production and distribution within the stem, and tree mechanical stability through simulation and optimization. In this first promising numerical attempt, two GreenLab parameters were considered in order to maximize wood production: the sink strength for cambial growth and a coefficient that determines the way the biomass assigned to cambial growth is allocated to each metamer, through optimization and simulation respectively. The optimization procedure that has been used is based on a heuristic optimization algorithm called Particle Swarm Optimization (PSO). In the first part of the paper, wood production was maximized without considering the effect of wood distribution on tree mechanical stability. Contrary to common idea that increasing sink strength for cambial growth leads to increasing wood production, an optimal value can be found. The optimization results implied that an optimal source and sink balance should be considered to optimize wood production. In a further step, the mechanical stability of trees submitted to their self weight was taken into account based on simplified mechanical assumptions. Simulation results revealed that the allocation of wood at the stem base strongly influenced its global deformation. Such basic mechanical criterion can be an indicator of wood quality if we consider further the active biomechanical processes involved in tree gravitropic responses, e.g. formation of reaction wood.
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Qi,
Ecole Centrale Paris, Laboratory of Applied Mathematics, Grande Voie des Vignes, 92295 Chatenay-Malabry, France; Institute of Automation, Chinese Academy of Sciences, LIAMA/NLPR, P.O.Box 2728, Beijing, China
E-mail:
qiruitree@gmail.com
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Letort,
Ecole Centrale Paris, Laboratory of Applied Mathematics, Grande Voie des Vignes, 92295 Chatenay-Malabry, France
E-mail:
vl@nn.fr
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Kang,
Institute of Automation, Chinese Academy of Sciences, LIAMA/NLPR, P.O.Box 2728, Beijing, China
E-mail:
mk@nn.cn
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Cournède,
Ecole Centrale Paris, Laboratory of Applied Mathematics, Grande Voie des Vignes, 92295 Chatenay-Malabry, France; INRIA saclay Ile-de-France, EPI Digiplant, Parc Orsay Université, 91893 Orsay cedex, France
E-mail:
phc@nn.fr
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Reffye,
INRIA saclay Ile-de-France, EPI Digiplant, Parc Orsay Université, 91893 Orsay cedex, France; CIRAD, UMR AMAP, Montpellier, F-34000 France
E-mail:
pdr@nn.fr
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Fourcaud,
CIRAD, UMR AMAP, Montpellier, F-34000 France
E-mail:
tf@nn.fr
article id 200,
category
Research article
Peder Gjerdrum,
Mauro Bernabei.
(2009).
Three-dimensional spiral grain pattern in five large Norway spruce stems.
Silva Fennica
vol.
43
no.
3
article id 200.
https://doi.org/10.14214/sf.200
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There is a great deal of interest involved in investigating and understanding grain angle in trees. The objective of the study presented in this paper has been to identify a joint, three-dimensional model for grain angle in stems of Norway spruce (Picea abies (L.) Karst.) Five large spruce trees were sampled. Transverse disks were extracted at regular intervals along the stem, split through the pith with a blunt knife, and observed for grain angle and cambial age along the north radius, setting pith observation to zero angle. The overall finding confirmed grain pattern congruent to distance from pith along the stem, a pattern that varies from tree to tree. Models expressing distance from the pith in cambial age performed slightly better than models in spatial distance. Grain pattern changed slightly along the stem, and this change was found to be consistent for the five stems: the left-handed grain angle in the juvenile wood was more pronounced upwards in the stem, and the angle changed faster towards right-handed spiralling. The model did not account for grain variation related to knots, undulating pith or other irregularities. Model residuals were normally distributed and seemingly homogeneous for all trees and for all height levels. The model is an extension of existing two-dimensional models for stem cross-cuts. After verification in a wider sample, the results should be applicable in tree and wood modelling.
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Gjerdrum,
Norwegian Forest and Landscape Institute, P.O. Box 115, N-1431 Ås, Norway
E-mail:
peder.gjerdrum@skogoglandskap.no
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Bernabei,
Norwegian Forest and Landscape Institute, P.O. Box 115, N-1431 Ås, Norway
E-mail:
mb@nn.no
article id 199,
category
Research article
R. Edward Thomas.
(2009).
Modeling the relationships among internal defect features and external Appalachian hardwood log defect indicators.
Silva Fennica
vol.
43
no.
3
article id 199.
https://doi.org/10.14214/sf.199
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As a hardwood tree grows and develops, surface defects such as branch stubs and wounds are overgrown. Evidence of these defects remain on the log surface for decades and in many instances for the life of the tree. As the tree grows the defect is encapsulated or grown over by new wood. During this process the appearance of the defect in the tree’s bark changes. The defect becomes flatter and its dimension changes. This progressional change in appearance is predictable, permitting the size and location of the internal defect to be reliably estimated. This paper concerns the development and analysis of models for the prediction of internal features. With the advent of surface scanning and external detection systems, the prediction of internal features promises to significantly improve the quality, yield, and value of sawn wood products.
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Thomas,
USDA Forest Service, 241 Mercer Springs Road, Princeton, WV 24740, USA
E-mail:
edthomas@gmail.com
article id 198,
category
Research article
Henrik Heräjärvi.
(2009).
Effect of drying technology on aspen wood properties.
Silva Fennica
vol.
43
no.
3
article id 198.
https://doi.org/10.14214/sf.198