Modeling Harvest Scheduling in Multifunctional Planning of Forests for Longterm Water Yield Optimization

Zengin, Hayati; Asan, Ünal; Destan, Sinan; Ünal, Murat; Yeşil, Ahmet; Bettinger, Pete; Değermenci, Ahmet Salih

doi:10.1111/nrm.12057

Cited by 13 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was considered as appropriate to perform maintenance efforts in accordance with the stand Table 1. Minimum and maximum thinning cut ratios to be obtained from stands (Zengin et al 2015).…”

Section: Methodsmentioning

confidence: 99%

“…developmental stages and to consider the thinning cut to be based on the stand volume, which is the common measurement unit. For this purpose, the lower and upper limits of the amount of thinning in accordance with the developmental stage of each stand is presented in table 1 (Zengin et al 2015). The aim of determining the lower limit is to ensure the calculation of thinning cut for each stand and for every period except for the regeneration period.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Spatial harvest scheduling for oak coppices conversion into high forest involving wood production management

et al. 2018

Self Cite

View full text Add to dashboard Cite

Oak forests in northern Turkey have been largely managed as coppice. Nevertheless, in parallel with the decrease in demand of firewood and charcoal, the coppices, having no social demand or regional pressure, have been converted into high forests since 2006. Because of this new regulation, a potential need has arisen to schedule forest harvests activities, which is based on the natural regeneration in those forests. The objective of this research was to develop a spatial forest planning process to schedule new harvests activities in coppices conversion into high forests. In the proposed study, four different planning strategies were used to estimate the most appropriate period for regeneration. Constraints essentially included those related to the need for an even flow, adjacency and to adhere to a maximum opening size. The scheduling process employed a mixed integer linear programming to schedule harvest activities and to maximize amount of harvested volume in planning horizon. The process was employed for the development of 100-year planning horizon for a Sergen forest range in the Thrace region of northern Turkey that was 3,448.8 ha in size. For obtaining various spatial data and solving the mathematical model, ArcMap and GAMS programs were used, respectively. Results showed that the value of the objective function in the case study forests could significantly increase when there is no constraint under the proposed harvesting plans in strategy 1 (3,652,072.8 m³). The amounts of wood production were similar in strategy 2 (3,547,613.5 m³) and strategy 4 (3,547,393.5 m³).

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Spatial harvest scheduling for oak coppices conversion into high forest involving wood production management

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other pioneer forestry applications of GP included analyzing potential gains from tree improvement programs [31,32], addressing an accounting problem in the forest industry [33], improving decisions about regulation of wilderness use [34], evaluating land use planning options for national forests [35], and selecting forest residue treatment alternatives [36]. Others have illustrated how GP can be used to address traditional forest management objectives that relate to commodity production, wood flow, economic returns, and perhaps other objectives [37][38][39][40][41][42][43][44][45][46]. More recently, spatial considerations have been incorporated into a GP problem.…”

Section: Introductionmentioning

confidence: 99%

Using Mixed Integer Goal Programming in Final Yield Harvest Planning: A Case Study from the Mediterranean Region of Turkey

Demirci

Yeşil

Bettinger

2020

Forests

Self Cite

View full text Add to dashboard Cite

A mixed integer goal programming model is developed to address the regeneration planning problems of even-aged forests in the Mediterranean region of Turkey. The unique aspect of the goal programming formulation is to minimize deviations in scheduled wood product volumes and the size of harvest areas within each time period, as these are important goals for the management area. About 98% of the forests in Turkey are considered even-aged, and 2% are uneven-aged. Therefore, an age class method is used for the planning of even-aged forests. For the areas where this method is applied, reaching the optimal age class structure is the first priority. This involves implementing final harvests (clearcuts) to regenerate an amount of forest area into each age class. To meet the local market’s needs, forest enterprises also require the final yield to be fairly equal each year. Further, it is desired that the harvest area (regeneration area) is relatively equal each year, to address operational considerations. A linear goal programming model is developed to address the problem. The minimization of deviations from both the harvest area and harvest volume targets are incorporated as goals in the objective function of the model. Several scenarios are solved using the extended version of Lingo 16. A scenario with weights of 0.8 for area and 0.2 for volume produces the best results. Here, the total deviation for 20 years is 3.8 ha in area and 2889 m3 in volume. In the actual regeneration plan, the area deviation for 10 years is 54.72 ha (6.2% of total regeneration area), and the volume deviation is 20,472 m3 (9.8% of harvest volume). The model described through this study can be developed further and integrated into forest management planning software and processes used for the planning of even-aged forests in the Mediterranean region.

show abstract

“…Based on established programing and optimization methods and the long experience of development of DSSs in forestry, harvest scheduling models are a particular type of tool currently available with the purpose of supporting decision making based on the multiple-criteria approach. Examples include the model to address forest production and biodiversity conservation [25], the forest management scheduling model for timber and old forest production [26], spatial forest planning processes for volume, carbon, and spatial aggregation of management activities [27], and the planning method addressing wood production and hydrologic functions [28], among many others. Until recently, forest models had very limited transferability.…”

Section: Introductionmentioning

confidence: 99%

Solving Multi-Objective Problems for Multifunctional and Sustainable Management in Maritime Pine Forest Landscapes

Rodríguez¹,

Nunes

Azevedo

2018

Climate

View full text Add to dashboard Cite

Forest management based on sustainability and multifunctionality requires reliable and user-friendly tools to address several objectives simultaneously. In this work we present FlorNExT Pro®, a multiple-criteria landscape-scale forest planning and management computer tool, and apply it in a region in the north of Portugal to find optimized management solutions according to objectives such as maximization of net present value (NPV), volume growth, and carbon storage, and minimization of losses due to fire. Comparisons made among single- and multi-objective solutions were made to explore the range of possible indicators provided by the tool such as carbon sequestered, volume growth, probability of fire occurrence, volume of wood extracted, and evenness of harvesting in the management period. Results show that FlorNExT Pro® is a reliable, flexible, and useful tool to incorporate multiple criteria and objectives into spatially explicit complex management problems and to prepare sustainable and multifunctional forest management plans at the landscape level. FlorNExT Pro® is also suited to guiding and adapting forest management for uncertainty scenarios for the assessment of ecosystem services and fire risk, therefore playing an important role in the maintenance of sustainable landscapes in the south of Europe.

show abstract

Modeling Harvest Scheduling in Multifunctional Planning of Forests for Longterm Water Yield Optimization

Cited by 13 publications

References 33 publications

Spatial harvest scheduling for oak coppices conversion into high forest involving wood production management

Spatial harvest scheduling for oak coppices conversion into high forest involving wood production management

Using Mixed Integer Goal Programming in Final Yield Harvest Planning: A Case Study from the Mediterranean Region of Turkey

Solving Multi-Objective Problems for Multifunctional and Sustainable Management in Maritime Pine Forest Landscapes

Contact Info

Product

Resources

About