The key literature of, and trends in, forest-level management planning in North America, 1950–2001

Bettinger, Pete; Chung, Woodam

doi:10.1505/ifor.6.1.40.32061

Cited by 61 publications

(48 citation statements)

References 105 publications

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“…Further, the use of linear programming as the main management tool for optimisation is not surprising since we focused on optimisation methods (rather than simulation or heuristic methods). At least at the forest-level, this is consistent with the findings of a decade ago for North America [122].…”

Section: Discussionsupporting

confidence: 91%

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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Section: Discussionsupporting

confidence: 91%

Optimisation in Forest Management

et al. 2016

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“…The large number of variables and constraints involved, the existence of non-linear relationships between variables, and the need to simultaneously optimize for different objectives often make the optimization of models an arduous task. In this case, heuristic techniques can be applied as they can handle the model complexity more efficiently (Bettinger & Chung 2004, Pukkala & Kurttila 2005, Liu et al 2006. Among these techniques, Simulated Annealing, Genetic Algorithms, Tabu Search, Threshold Accepting, and Ant Colony Algorithms were successfully applied in forest planning (Pukkala & Kurttila 2005, Liu et al 2006, Zeng et al 2007, Zhu & Bettinger 2008, Quintero et al 2011.…”

Section: Introductionmentioning

confidence: 99%

Heuristic forest planning model for optimizing timber production and carbon sequestration in teak plantations

Quintero-Méndez¹,

Jerez-Rico²

2017

iForest

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We developed a forest planning model integrating two operational scales (single-stand and forest levels) for the optimization of timber production and carbon sequestration in forest teak (Tectona grandis L. f.) plantations. At the stand level, growth and yield simulations using a heuristic thinning optimizer provided a set of near-optimal thinning regimes for individual stands differing on initial spacing and site quality, given biological, silvicultural, and financial constraints. The set of near-optimal thinning regimes obtained were then used as input of the forest-level model, which generated optimal harvest plans for the whole plantation by simultaneously maximizing the net present value of merchantable wood and carbon sequestration. The net amount of carbon captured by the biomass and the emissions produced by decomposition of woody debris and timber products after harvest were estimated. The growth and yield model was based on a system of differential equations incorporating heuristics (genetic algorithms) to optimize age and intensity of thinnings. The full model can handle the optimization of harvest schedules for projects up to 10,000 ha and 200 stands and was tested on a validation dataset including teak plantations from Venezuela and other Latin American countries. Results indicated that regimes favoring carbon sequestration reduce the benefits of timber production, and equal profitability of carbon sequestration and timber production was obtained for carbon prices over 40 $US Gg -1 . Sensitivity analysis showed that the proposed model is sensible to variation in growth rates, carbon and timber prices, and production quotas, and barely sensible to harvest and transport costs. The developed model has a modular structure that allows its calibration to incorporate data from a wide range of management regimes for teak and other forest species.

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“…As a result, man has profoundly modified over the years the natural environment, leading to a spatial mosaic of distinct and interacting types of rural land uses (Scarascia Mugnozza 2009). Consequently, environmental concerns have led to important modifications in forest planning models (Marchetti & Mariano 2006), paying mostly attention on the well being of rural population, shifting from wood production and economic goals to no-timber goals (Bettinger & Chung 2004), including habitat protection and wildlife. Forest planning plays a strategic role in applying Sustainable Forest Management (SFM) principles.…”

Section: Introductionmentioning

confidence: 99%

Application of indicators network analysis to support local forest management plan development: a case study in Molise, Italy

Santopuoli¹,

Requardt²,

Marchetti³

2012

iForest

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Forest management plans and Criteria and Indicators are the most important tools to support sustainable forest management. Due to the important role of forests in contributing to humans’ well being through the numerous ecosystem services they provide, in the last two decades many efforts have been made to develop new forest management tools at different scale levels. Territorial Forest Plan and Criteria and Indicators for SFM are considered as the innovative tools to support forest management. A participatory approach, providing a better knowledge of social framework conditions and trends on local markets, is considered the focus of new forest management tools. Territorial Forest Plan allows to identify the main function of forest stands at territorial level, based on both forest type and stakeholders’ opinions. On the other hand, the Indicators Network can be helpful to support forest management because it allows to identify the main causal paths and crucial linkages involving the indicators and to offer decision makers the opportunity to manage the forest ecosystem in a more holistic way. In this work, an application of indicators network analysis to support Territorial Forest Plan development in the Nature 2000 site has been studied. Based on the results obtained, an integrated use of both approaches may provide an added value to sustainable forest management

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The key literature of, and trends in, forest-level management planning in North America, 1950–2001

Cited by 61 publications

References 105 publications

Optimisation in Forest Management

Optimisation in Forest Management

Heuristic forest planning model for optimizing timber production and carbon sequestration in teak plantations

Application of indicators network analysis to support local forest management plan development: a case study in Molise, Italy

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