From a strategic to a tactical forest management plan using a hierarchic optimization approach

Kangas, Annika; Nurmi, Mikko; Rasinmäki, Jussi

doi:10.1080/02827581.2013.863962

Cited by 16 publications

(12 citation statements)

References 18 publications

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“…Despite expectations, considering the problem being dealt with, that there should be many studies devoted to operational planning, this is not commonplace when objectives not having a production orientation such as biodiversity are integrated (Ezquerro et al, 2016). On the other hand, and although integration between the diverse levels is not always easy (Rönnqvist et al, 2015) or univocal (Kangas et al, 2014;McDill, 2014), a high percentage of studies combining more than one management level has been found, specifically, those unifying strategic planning with operational aspects, which seems to provide a balance between economic and environmental benefits (Augustynczik et al, 2016). With regard to the strategic planning models, the reasons for justifying the selection of one or the other are not clear, although, recently, this aspect has triggered an interesting debate in the literature.…”

Section: Resultsmentioning

confidence: 99%

A critical survey of optimization methods in industrial forest plantations management

Belavenutti

Romero

Dı́az-Balteiro

2018

Sci. agric. (Piracicaba, Braz.)

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ABSTRACT:The application of optimization methods to forest management has given rise to a successful line of investigation in recent decades. However, there have been few publications associated with the application of these techniques to the management of industrial forest plantations (those with short or medium rotations, always less than 50 years), which consider the important role played by these forest systems in the supply of diverse goods and services.This study presents an overview of this literature which, by analyzing 67 articles published in journals contained in the ISI Web of Science, highlight, among other aspects, the techniques employed, their evolution, their planning type (strategic, tactical or operational), the functional objectives and constraints considered, or the type of software deployed in these studies. The results show how Model I has been the one most frequently used in these studies, and how the spatial component is increasing in importance. However, classic optimization methods, such as mixed integer programming, have been those most commonly resorted to, although the employment of multi-criteria techniques such as goal programming and analytic hierarchical process have strongly emerged in recent years.

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Section: Resultsmentioning

confidence: 99%

A critical survey of optimization methods in industrial forest plantations management

Belavenutti

Romero

Dı́az-Balteiro

2018

Sci. agric. (Piracicaba, Braz.)

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“…Kangas et al [98] also developed a simulated annealing algorithm, but to maximise the utility of a forest plan, where utility was defined to include economic, commodity production, forest fragmentation and patch size interests. Kangas et al [66] developed a tabu search algorithm to minimise deviations from 36 commodity production goals subject to constraints related to the area of, and volume generated from, broadleaved stands, and the retention of older forest areas.…”

Section: Forest-level Optimisationmentioning

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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“…This 12 work can be seen as an extension of Kangas et al (2014), where they developed a hierarchical The dataset used for this study has been utilized in two previous studies. The first attempt to 1 solve this landscape level plan was by Virtanen (2010), where she attempted to find a solution 2 which optimized the spatial arrangements in harvesting.…”

mentioning

confidence: 99%

“…In addition to solving computationally difficult problems, hierarchical planning can be applicable scales to regional level spatial scales (Kangas et al 2014). The hierarchical framework could also 6 be multi-layered, linking both spatial and temporal concerns together.…”

mentioning

confidence: 99%

“…The first attempt to 1 solve this landscape level plan was by Virtanen (2010), where she attempted to find a solution 2 which optimized the spatial arrangements in harvesting. The second study used a bottom-up 3 hierarchical approach (Kangas et al 2014), which used a goal programming framework to 4 minimize the differences in harvest levels to targets set in a strategic-level natural resources plan 5 (NRP). The NRP involves multiple stakeholders, and through a participatory planning process 6 they define the overall plan for the region for the next 10 year period (see e.g.…”

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Evaluating a hierarchical approach to landscape-level harvest scheduling

Eyvindson

Rasinmäki²,

Kangas

2018

Can. J. For. Res.

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1The conduct of landscape level forest planning has the potential to become a large intractable 2 problem. In Finland, Metsähallitus (the state enterprise which manages federally owned land) 3 creates strategic plans to determine the appropriate harvest level. While these plans are feasible, 4 they are not implementable in practice as the harvests are scattered temporally and spatially. 5Requiring that harvests be organized both temporally and spatially for practical implementation 6 can result in an intractable problem. Through a hierarchical approach the problem can be 7 organized into steps, where the intractable problem is broken down into smaller easily solvable

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From a strategic to a tactical forest management plan using a hierarchic optimization approach

Cited by 16 publications

References 18 publications

A critical survey of optimization methods in industrial forest plantations management

A critical survey of optimization methods in industrial forest plantations management

Optimisation in Forest Management

Evaluating a hierarchical approach to landscape-level harvest scheduling

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