Evaluating a hierarchical approach to landscape-level harvest scheduling

Eyvindson, Kyle; Rasinmäki, Jussi; Kangas, Annika

doi:10.1139/cjfr-2017-0298

Cited by 8 publications

(6 citation statements)

References 18 publications

(6 reference statements)

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“…They recommended the extended goal programming (GP) technique to incorporate different spatial issues, including third-level operational level (monthly/weekly) activities. While such an approach is in the embryonic stage, the future challenge is the ability to hybridize a nonlinear GP model with a metaheuristic approach in accommodating stochastic events and multiple ecosystem services with different spatial features at various levels [9,121]. However, perception of using models as a panacea (i.e., blind applications of decision techniques) in the case of increasingly complex problems and risks and uncertainties may overwhelm decision-makers using DSS, as noted by Vacik et al [101] and Ananda and Herarth [6].…”

Section: Discussionmentioning

confidence: 99%

A Design for Addressing Multiple Ecosystem Services in Forest Management Planning

Başkent

Borges

Kašpar

et al. 2020

Forests

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Forest policy and decision-makers are challenged by the need to balance the increasing demand for multiple ecosystem services while addressing the impacts of natural disturbances (e.g., wildfires, droughts, wind, insect attacks) and global change scenarios (e.g., climate change) on its potential supply. This challenge motivates the development of a framework for incorporating concerns with a wide range of ecosystem services in multiple criteria management planning contexts. Thus, the paper focused on both the analysis of the current state-of-the art research in forest management planning and the development of a conceptual framework to accommodate various components in a forest management process. On the basis of a thorough recent classification of forest management planning problems and the state-of-the-art research, we defined the key dimensions of the framework and the process. The emphasis was on helping to identify how concerns with a wide range of ecosystem services may be analyzed and better understood by forest ecosystem management planning. This research discusses the potential of contemporary management planning approaches to address multiple forest ecosystem services. It highlights the need for a multi-level perspective and appropriate spatial resolution to integrate multiple ecosystem services. It discusses the importance of methods and tools that may help support stakeholders’ involvement and public participation in hierarchical planning processes. The research addresses the need of methods and tools that may encapsulate the ecological, economic, and social complexity of forest ecosystem management to provide an efficient plan, information about tradeoffs between ecosystem services, and the sensitivity of the plan to uncertain parameters (e.g., prices, climate change) on time.

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Section: Discussionmentioning

confidence: 99%

A Design for Addressing Multiple Ecosystem Services in Forest Management Planning

Başkent

Borges

Kašpar

et al. 2020

Forests

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“…Therefore, it may become necessary to scale down and simplify the problem to attain a manageable solution within a hierarchical process. Eyvindson et al [3] demonstrated this approach by integrating the upper hierarchical level with a subset of lower hierarchical level issues, forming a comprehensive optimization problem solved with a variation of the goal programming technique with an iterative methodology. The landscape-level management plans generated through this iterative process exhibited significant improvements in strategic solutions, approaching the global optimum.…”

Section: Approaches/methods and Decision-making Techniques Used In Sp...mentioning

confidence: 99%

“…The structure of forest landscapes, including the composition and the configuration of the landscape, impacts the provision of multiple ecosystem services (ES) and must thus be addressed by forest management planning. It plays a critical role in maintaining ecological integrity, which encompasses a wide range of ecological functions and processes, ultimately leading to the provision of several ecosystem services [1][2][3][4]. The functions include for example facilitating habitat connectivity, regulating carbon sequestration, supporting water provision and enhancing erosion control activities.…”

Section: Introductionmentioning

confidence: 99%

An Updated Review of Spatial Forest Planning: Approaches, Techniques, Challenges, and Future Directions

Baskent,

Borges,

Kašpar

2024

Curr. For. Rep.

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Purpose of Review The spatial forest planning concept has evolved as an essential component of the forest management planning process. The development of both exact and heuristic modeling techniques as analytical solution techniques have seen significant progress in application to spatial forest planning over the last two decades. This paper aims at providing a comprehensive review of the current state of spatial forest planning in both scope and depth, focusing on different approaches and techniques used, the challenges faced, and the potential future developments. For that purpose, we conduct a world-wide literature review and an extensive analysis of the status and trends over the past two decades in spatial forest planning. Recent Findings The literature review indicates that recent advancements have led to the development of new algorithms/formulations for addressing spatial constraints in forest planning with exact solution techniques. Nevertheless, it highlights further that heuristic techniques are still widely used, especially in large real-world problems that encompass multiple ecosystem services and constraints. Besides the provisioning services, there has been a noticeable increase in the proportion of regulating, supporting and cultural services addressed in objective functions of forest management planning models. Adjacency/green-up relationships, opening size, core area, wildlife habitat and the spatial arrangement of fuel treatments have been considered as indicators to address the provision of these services and spatial forest problem. Summary We pinpoint persistent challenges to using exact modeling techniques to address large real problems with multiple ecosystems services. We highlight further that determining the optimal combination and values of heuristic parameters and assessing the quality of heuristic solutions remains a central challenge. Finally, we highlight the potential of artificial intelligence to overcome computational obstacles to the application of both exact and heuristic techniques to spatially explicit forest management planning.

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“…Forest planning problems are recognized as complex and ill-structured due to long time-horizons, the complex production system of forests, multiple goals and the various ways to manage forests. As a measure to cope with these, the practice of dividing forest planning problems into subproblems in a hierarchy is widely acknowledged by large-scale forest owners (Bettinger et al, 2016;Borges et al, 2014;Duvemo et al, 2014;Eyvindson et al, 2018;Kangas et al, 2015;Martell et al, 1998;Ulvdal et al, 2022;Weintraub and Cholaky, 1991). The literature offers the nomenclature of long-, medium-and short-term planning (Borges et al, 2014;Nilsson, 2013) but we will adhere to the stages as strategic, tactical and operational planning (Bettinger et al, 2016;Ulvdal et al, 2022).…”

Section: Forest Planningmentioning

confidence: 99%

“…The burdens of large datasets and long computation times are, however, an argument for full introduction of high-resolution data and spatial planning models in the later stages of the planning process, when harvest levels are set, geographical areas smaller and planning horizons shorter. Such a trade-off between level of detail and complexity is nothing new in forest planning, where techniques for dealing with complexity are already relevant (Bettinger et al, 2016;Borges et al, 2014;Duvemo et al, 2014;Eyvindson et al, 2018;Kangas et al, 2015;Martell et al, 1998;Nilsson, 2013;Weintraub and Cholaky, 1991). Finally, the solution methods available in forest DSS may be a challenge.…”

Section: Dtu Planning -Possibilities and Challenges In Swedenmentioning

confidence: 99%

Forest planning utilizing high spatial resolution data

2023

Acta Universitatis Agriculturae Sueciae

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This thesis presents planning approaches adapted for high spatial resolution data from remote sensing and evaluate whether such approaches can enhance the provision of ecosystem services from forests. The presented methods are compared with conventional, stand-level methods. The main focus lies on the planning concept of dynamic treatment units (DTU), where treatments in small units for modelling ecosystem processes and forest management are clustered spatiotemporally to form treatment units realistic in practical forestry. The methodological foundation of the thesis is mainly airborne laser scanning data (raster cells 12.5x12.5 m2), different optimization methods and the forest decision support system Heureka. Paper I demonstrates a mixed-integer programming model for DTU planning, and the results highlight the economic advances of clustering harvests. Paper II and III presents an addition to a DTU heuristic from the literature and further evaluates its performance. Results show that direct modelling of fixed costs for harvest operations can improve plans and that DTU planning enhances the economic outcome of forestry. The higher spatial resolution of data in the DTU approach enables the planning model to assign management with higher precision than if stand-based planning is applied. Paper IV evaluates whether this phenomenon is also valid for ecological values. Here, an approach adapted for cell-level data is compared to a schematic approach, dealing with stand-level data, for the purpose of allocating retention patches. The evaluation of economic and ecological values indicate that high spatial resolution data and an adapted planning approach increased the ecological values, while differences in economy were small. In conclusion, the studies in this thesis demonstrate how forest planning can utilize high spatial resolution data from remote sensing, and the results suggest that there is a potential to increase the overall provision of ecosystem services if such methods are applied.

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Evaluating a hierarchical approach to landscape-level harvest scheduling

Cited by 8 publications

References 18 publications

A Design for Addressing Multiple Ecosystem Services in Forest Management Planning

A Design for Addressing Multiple Ecosystem Services in Forest Management Planning

An Updated Review of Spatial Forest Planning: Approaches, Techniques, Challenges, and Future Directions

Forest planning utilizing high spatial resolution data

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