Efficiency in forest management: A multiobjective harvest scheduling model

Hernández, Mónica; Gómez, Trinidad; Molina, Julián; León, M. A.; Caballero, Rafael

doi:10.1016/j.jfe.2014.06.002

Cited by 18 publications

(13 citation statements)

References 20 publications

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“…However, unlike the work of Diaz-Balteiro and Romero (2008), the number of studies which can be included under the heading "harvest scheduling" or "extended harvest scheduling" is clearly on the rise. There is no doubt that the use of hybrid methodologies enables a resolution of complex problems that would not be easily tackled by any single technique (Hernández et al, 2014). However, the number of papers with this orientation is not very significant.…”

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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“…The most common reason for using heuristic techniques instead of mathematical techniques may be the need to incorporate complex spatial objectives into the planning problems formulation that are not easily represented by linear or non-linear equations, but rather by computer programming logic (as in Bettinger et al 1997). For example, heuristic techniques have been applied to forestry planning problems that involve the maximization of economic and commodity production objectives Crowe and Nelson 2005;Strimbu et al 2010), the maintenance and development of wildlife habitat (Hof and Flather 1996;Kurttila et al 2006;Marshalek et al 2014), the maintenance of forest stand-level structure (Tang et al 2004;Bettinger et al 2007), the issues related to carbon sequestration of a forest (Hernandez et al 2014;Pukkala 2014), the issues concerning fragmentation of a forested landscape Bettinger et al 2007), and the impact of management activities on water quality (Bettinger et al 1998;Fotakis 2015). Numerous examples of the use of heuristics for solving complex combinatorial problems from fields outside of forestry can also be found in the literature (Los and Lardinois 1982;Fuller et al 2012;Sinclair et al 2014;Arikan et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the neighborhood, hybrid and reversion search techniques of a simulated annealing algorithm in solving forest spatial harvest scheduling problems

Dong¹,

Bettinger²,

Liu³

et al. 2016

Silva Fenn.

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Highlights• The performances of neighborhood, hybrid and reversion search strategies of simulated annealing were evaluated when implemented with a forest spatial harvest scheduling problem.• The performances of alternative search strategies of simulated annealing were all systematic and clear better than the conventional strategy.• The reversion techniques were significant superior to the other search strategies in solving forest spatial harvest scheduling problems. AbstractHeuristic techniques have been increasingly used to address the complex forest planning problems over the last few decades. However, heuristics only can provide acceptable solutions to difficult problems, rather than guarantee that the optimal solution will be located. The strategies of neighborhood, hybrid and reversion search processes have been proved to be effective in improving the quality of heuristic results, as suggested recently in the literature. The overall aims of this paper were therefore to systematically evaluate the performances of these enhanced techniques when implemented with a simulated annealing algorithm. Five enhanced techniques were developed using different strategies for generating candidate solutions. These were then compared to the conventional search strategy that employed 1-opt moves (Strategy 1) alone. The five search strategies are classified into three categories: i) neighborhood search techniques that only used the change version of 2-opt moves (Strategy 2); ii) self-hybrid search techniques that oscillate between 1-opt moves and the change version of 2-opt moves (Strategy 3), or the exchange version of 2-opt moves (Strategy 4); iii) reversion search techniques that utilize 1-opt moves and the change version of 2-opt moves (Strategy 5) or the exchange version of 2-opt moves (Strategy 6). We found that the performances of all the enhanced search techniques of simulated annealing were systematic and often clear better than conventional search strategy, however the required computational time was significantly increased. For a minimization planning problem, Strategy 6 produced the lowest mean objective function values, which were less than 1% of the means developed using conventional search strategy. Although Strategy 6 performed very well, the other search strategies should not be neglected because they also have the potential to produce high-quality solutions.

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“…Field validation in summer 2017 conducted by the authors of this study confirmed that the high areas of deforested areas and illegal logging are located mostly in Călimani, Rarău, Giurgeu and Hășmaș Mountains. The decreased forest areas during the last decades as a response to needs for timber and financial benefits were also mentioned by [17,28,48]. The restoration of forest landscape (FLR) and the increasing necessity of wood and ecosystem services for communities were also described by [17].…”

Section: Discussionmentioning

confidence: 99%

“…A multi-objective model for the planning of timber production forest and contribution for an efficient management plan and analysis of the trade-offs between economic and ecological objectives is presented by [28]. We provide, in conjunction, an analysis of textural and fractal algorithms for useful analysis of deforestation patterns in Moldo-Transylvanian Carpathians based on high-resolution images ( ).…”

Section: Discussionmentioning

confidence: 99%

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Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania

Ciobotaru¹,

Andronache²,

Ahammer³

et al. 2018

Preprint

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Monitoring the ratio of forested and deforested areas plays a key role in studying the dynamics of forest areas. Appropriate mapping of anthropogenic forest disturbances is particularly important in the context of sustainable forest management. It provides ecological, social and economic information which is crucial for forest policymakers. In the last two decades, the forest areas of the Moldo-Transylvanian Carpathians have been subject to a high rate of deforestation which at present state lacks proper quantification. We present a novel methodology for monitoring the forest disturbance dynamics in Moldo-Transylvanian Carpathians by use of fractal analysis including entropy, Fractal Fragmentation Index (FFI) and Tug-of-War lacunarity ( ). This was necessary to quantify and identify the disorder (entropy), the fragmentation (FFI) and heterogeneity of the spatial distribution ( ) patterns. Based on satellite images of the forest areas (annually 2000-2014), increased fragmentation was demonstrated by FFI increase, a measure of the degree of disorder (entropy) and heterogeneity (lacunarity). Our results revealed that textural and fractal analysis can be an effective tool for the extraction of quantitative information about the spatiotemporal dynamics of forest disturbance. The methods developed, and results obtained are a complementary approach to forest disturbance mapping (based on traditional image Preprints (www.preprints.org) | NOT PEER-REVIEWED |

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Efficiency in forest management: A multiobjective harvest scheduling model

Cited by 18 publications

References 20 publications

A critical survey of optimization methods in industrial forest plantations management

A critical survey of optimization methods in industrial forest plantations management

Evaluating the neighborhood, hybrid and reversion search techniques of a simulated annealing algorithm in solving forest spatial harvest scheduling problems

Using Multitemporal Landsat ETM+ Imagery to Determine a Sustainable Exploitation Patterns of the Forest Resources in the Moldo-Transylvanian Carpathians - Romania

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