Forest planning in a Swedish company – a knowledge management analysis of forest information

Nilsson, Malin; Wästerlund, Dianne Staal; Wahlberg, Olof; Eriksson, Ljusk Ola

doi:10.14214/sf.922

Cited by 14 publications

(17 citation statements)

References 32 publications

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“…Similar studies that have suggested management zoning as an introductive framework for management come from Sweden [106][107][108], the Czech Republic [109][110][111][112], and Poland [19,[113][114][115]. Forest zoning consists of separating the land base into different management zones to address specific objectives; for example, conservation zones, intensive production zones, or even unmanaged zones (Figure 7).…”

Section: Description Of the Structure For Management Planning Zonesmentioning

confidence: 99%

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable Production—Case Study in Huambo Province, Angola

Chiteculo

Surový

2018

Forests

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This paper aims to assess important forest parameters, including tree density, diameter at breast height (DBH), and age distribution, investigate the dynamic growth of miombo tree species, and employ this information to design a management framework in miombo forests. The delineation of the management zones was based on unsupervised land cover classification that began with three zones where ground data was collected and increased to five zones. Eighteen circular plots (25.2 m radius) were randomly distributed over the study areas to assess the current situation and potential growth patterns for each species. The patterns of the six most representative tree species of miombo in Angola were described and we used KORFiT 2.4 software to fit data and develop growth curves for at least three miombo species. Growth function fitness was evaluated by root mean squared error (RMSE), coefficient of determination (R 2 ), significance of the parameters (p < 0.05), and Akaike's information criterion (AIC). The diameter distribution of miombo tree species resembled a typical distribution of uneven-aged forest stands; higher DBH classes had lower abundances of tree species. Logistic and Gompertz growth functions were the best fits for miombo tree species. Brachystegia spiciformis Benth., is suggested as a potential species for timber management in the region because they displayed high growth potential to more quickly reach an assumed minimum DBH of 20 cm. This study concluded that miombo forest stands present an irregular structure in which DBH distribution illustrated only two patterns: many small stems and a bimodal forest structure.

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Section: Description Of the Structure For Management Planning Zonesmentioning

confidence: 99%

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable Production—Case Study in Huambo Province, Angola

Chiteculo

Surový

2018

Forests

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“…They use a hierarchical planning system that is based on a long-term plan (also known as the harvest estimation or strategic plan), a medium-term plan (or tactical plan) and a short-term plan (or operative plan), as shown in Figure 1 [3,4]. This planning hierarchy was introduced by the industrial forest companies in the 1960s and remains in use today [5,6]. The conceptual planning system is seen as a consecutive sequence of decisions in which the range of available options at any one stage is defined by the choices made in the preceding stages.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The planners were asked to rate the statement: "I do not want to put compartments into the TB if the information on their volume or assortment distribution is inaccurate". Their ratings of this statement were as follows: not at all, 7% (6), to some extent, 16% (14), quite a lot, 22% (19), totally, 47% (40), n/a, 7% (6). Figure 6 shows the harvest managers' ratings of the trustworthiness of the data in the TB on the availability of passable roads in each compartment.…”

Section: The Information Within the Tbmentioning

confidence: 99%

Strategy Pattern Creation in Forest Planning in Swedish Forest-Owning Companies

Nilsson

Eriksson

Wästerlund

2013

Forests

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Forest-owning companies in Sweden have both a goal to yield a good short-term rate of return on their forest and a goal to maintain a high long-term rate of return by maintaining the production of wood-based products. Both these objectives are taken into account in the forest planning process. For the long-term goal, the companies develop strategies formulated in the forest planning system and for the short-term goal, sale strategies are formulated in the sale plans. These strategies may raise conflicts on how to use the forest resources. These conflicts would occur in the work with the tract bank (TB), the register of stands ready for harvesting. The objective of this study was to analyze how Swedish forest owning companies form their strategy patterns around the work with the TB and to discuss the implications of the pattern formation for forest planning in the companies. Planners and harvest managers at three large forest-owning companies responded to a questionnaire. The results show that the delivery plan based on the sale strategy is often a main factor in determining the content of the TB.

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“…Methods for addressing multi-criteria decision-making processes and group decision making efforts have also been reviewed [11]. Other recent reviews include assessments of the value of participatory planning approaches in forest management [3,5,12], the incorporation of risk and uncertainty into forest planning [5], the availability and characteristics of decision support systems for forest management purposes [4••, 13, 14] and the lessons learned from the development of these tools [15•], the use of knowledge management tools, approaches and methods [16][17][18] and other computerised tools [19] associated with forest management decision-making processes. Optimisation processes are often, in fact, key components of decision support systems [20].…”

Section: Introductionmentioning

confidence: 99%

Optimisation in Forest Management

et al. 2016

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The field of forestry has employed various computer-assisted optimisation approaches since the early 1960s to address the efficient allocation of resources towards various forest management objectives. These approaches continue to evolve, and in the last 5 years, the research has expanded to demonstrate how complex, non-linear relationships can be recognised and incorporated into planning processes at the tree, stand, forest and landscape levels. In addition to an overview of the use of optimisation in forestry, we provide an examination of work published in the last 5 years from 30 international journals, worldwide, which consistently publish forestry and natural resource management research papers. Through this review, we found that landscape-level optimisation is a relatively new and expanding area of research, most often performed by one large public landowner in regions where the resulting plan of action has an effect on all landowners and resources. We also note that at the forest level, exact methods for optimising systems mainly continue to be used, and at the stand level, optimisation seems to now involve exploration of a variety of analytical methods. A large portion of the recent research in the optimisation of forest management have involved European forests, which is a function of large public ownership of land and the tradition and requirements for management planning, and roughly half of the effort has arisen from researchers located in Nordic countries (Denmark, Finland, Norway and Sweden).

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Forest planning in a Swedish company – a knowledge management analysis of forest information

Cited by 14 publications

References 32 publications

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable Production—Case Study in Huambo Province, Angola

Dynamic Patterns of Trees Species in Miombo Forest and Management Perspectives for Sustainable Production—Case Study in Huambo Province, Angola

Strategy Pattern Creation in Forest Planning in Swedish Forest-Owning Companies

Optimisation in Forest Management

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