Comparing model-based approaches with bucking simulation-based approach in the prediction of timber assortment recovery

Malinen, Jukka; Kilpeläinen, Harri; Piira, Teppo; Redsven, Visa; Wall, Tapio; Nuutinen, Tuula

doi:10.1093/forestry/cpm012

Cited by 33 publications

(26 citation statements)

References 4 publications

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“…The assortment volumes of harvested trees were calculated with the taper models of Laasasenaho [42]. Quality deductions were made on saw log volume, based on the models of Mehtätalo [43] and the results of Malinen et al [44]. The deduction was implemented by moving a part of saw log volume into pulpwood assortment.…”

Section: Use Of the Monsu Planning Systemmentioning

confidence: 99%

Synergies and Trade-Offs in the Production of NWFPs Predicted in Boreal Forests

Kurttila

Pukkala

Miina

2018

Forests

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The global growth of the consumption of non-wood forest products (NWFPs) is evident due to the current trends in lifestyle and consumption. Alongside the increased popularity and commercial use of NWFPs, their yields are also more often taken into account in forest management planning. Empirical yield models recently developed for different NWFPs enable forest managers to include their predicted yields in multi-objective optimization. However, knowledge on the synergies and trade-offs between timber production and different NWFPs is scanty. In this study, we analyzed these relationships through correlation matrices and production possibility frontiers in two case study forest holdings from Finland. A large number of Pareto optimal forest holding level plans were produced by multi-objective optimization and used to analyze trade-offs and synergies. Empirical yield models for 12 NWFPs, representing different berries, mushrooms, and tree-based products, were utilized in the analyses. The results revealed synergies and possibilities for joint-production for NWFPs, but also trade-offs between NWFPs and timber production. NWFPs often had a negative correlation with cutting removals, with the only exception being cowberry. Despite the overall negative correlation, the maximum yields of NWFPs called for some cuttings. Negative correlations with the net present value of timber production were weaker. The results are valuable when the aim is to diversify the use of boreal forests and open avenues for truly multi-objective decision support services to facilitate the decision making of forest owners.

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Section: Use Of the Monsu Planning Systemmentioning

confidence: 99%

Synergies and Trade-Offs in the Production of NWFPs Predicted in Boreal Forests

Kurttila

Pukkala

Miina

2018

Forests

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“…The purpose was to transfer a part of log volume to pulpwood volume due to defects which are present but not taken into account in the taper models. The predictions of Mehtätalo's models were multiplied with correction factors which were 0.7 for pine, 0.4 for spruce, and 1.2 for birch (Malinen et al 2007). This is because it has been noticed (Malinen et al 2007) that Mehtätalo's models overestimate the reduction in pine and spruce, and underestimate it in birch.…”

Section: Yield Modelmentioning

confidence: 99%

Population-based methods in the optimization of stand management

Pukkala¹

2009

Silva Fenn.

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In Finland, the growth and yield models for tree stands are simulation programs that consist of several sub-models. These models are often non-smooth and non-differentiable. Direct search methods such as the Hooke-Jeeves algorithm (HJ) are suitable tools for optimizing stand management with this kind of complicated models. This study tested a new class of direct search methods, namely population-based methods, in the optimization of stand management. The tested methods were differential evolution, particle swarm optimization, evolution strategy, and the Nelder-Mead method. All these methods operate with a population of solution vectors, which are recombined and mutated to obtain new candidate solutions. The management schedule of 719 stands was optimized with all population-based methods and with the HJ method. The population-based methods were competitive with the HJ method, producing 0.57% to 1.74% higher mean objective function values than HJ. On the average, differential evolution was the best method, followed by particle swarm optimization, evolution strategy, and Nelder-Mead method. However, differences between the methods were small, and each method was the best in several stands. HJ was alone the best method in 7% of stands, and a population based method in 3% (Nelder-Mead) to 29% (differential evolution) of stands. All five methods found the same solution in 18% of stands.

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“…The adjusted cutting patterns left little wastage in the top section of the taper trees in the simulations but kept any waste section that was cut from the lower stem of their most similar trees. In doing so, the simulated cutting patterns remained the most realistic, unlike some CTL and bucking-to-value simulations that used modelled taper curves (Malinen et al 2007). In the final data set generated by the CTL simulations, SEDOB TL ranged from 3.9 to 20.4 cm with a median of 12.1 cm and the minimum total log length was 4.2 m, while the length of the top section varied from 1.2 to 14.0 m, with a median of 5.9 m, but the length of 90% of the top sections was between 3.0 and 8.8 m.…”

Section: Cut-to-length (Ctl) Simulationsmentioning

confidence: 99%

Reconstructing the size of individual trees using log data from cut-to-length harvesters in Pinus radiata plantations: a case study in NSW, Australia

Watt

et al. 2017

J. For. Res.

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With their widespread utilization, cut-to-length harvesters have become a major source of ''big data'' for forest management as they constantly capture, and provide a daily flow of, information on log production and assortment over large operational areas. Harvester data afford the calculation of the total log length between the stump and the last cut but not the total height of trees. They also contain the length and end diameters of individual logs but not always the diameter at breast height overbark (DBHOB) of harvested stems largely because of time lapse, operating and processing issues and other system deficiencies. Even when DBHOB is extracted from harvester data, errors and/or bias of the machine measurements due to the variation in the stump height of harvested stems from that specified for the harvester head prior to harvesting and diameter measurement errors may need to be corrected. This study developed (1) a system of equations for estimating DBHOB of trees from diameter overbark (DOB) measured by a harvester head at any height up to 3 m above ground level and (2) an equation to predict the total height of harvested stems in P. radiata plantations from harvester data. To generate the data required for this purpose, cut-to-length simulations of more than 3000 trees with detailed taper measurements were carried out in the computer using the cutting patterns extracted from the harvester data and stump height survey data from clearfall operations. The equation predicted total tree height from DBHOB, total log length and the small end diameter of the top log. Prediction accuracy for total tree height was evaluated both globally over the entire data space and locally within partitioned subspaces through benchmarking statistics. These statistics were better than that of the conventional height-diameter equations for P. radiata found in the literature, even when they incorporated stand age and the average height and diameter of dominant trees in the stand as predictors. So this equation when used with harvester data would outperform the conventional equations in tree height prediction. Tree and stand reconstructions of the harvested forest is the necessary first step to provide the essential link of harvester data to conventional inventory, remote sensing imagery and LiDAR data. The equations developed in this study will provide such a linkage for the most effective combined use of harvester data in predicting the attributes of individual trees, stands and forests, and product recovery for the management and planning of P. radiata plantations in New South Wales, Australia.

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Comparing model-based approaches with bucking simulation-based approach in the prediction of timber assortment recovery

Cited by 33 publications

References 4 publications

Synergies and Trade-Offs in the Production of NWFPs Predicted in Boreal Forests

Synergies and Trade-Offs in the Production of NWFPs Predicted in Boreal Forests

Population-based methods in the optimization of stand management

Reconstructing the size of individual trees using log data from cut-to-length harvesters in Pinus radiata plantations: a case study in NSW, Australia

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