Focal-Point Aggregation Under Area Restrictions through Spatially Constrained Optimal Harvest Scheduling

Yoshimoto, Atsushi; Asante, Patrick

doi:10.1093/forsci/fxy044

Cited by 7 publications

(8 citation statements)

References 30 publications

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“…In most studies relying on distance as a spatial attribute, the use of Euclidean metric is a default assumption. Another example of legacy is the preference for approaches based on individual land units in area-based planning, where a priori blocking is carried out using aggregation approaches to avoid issues of enumeration (see Murray and Weintraub 2002;Yoshimoto and Asante 2019), even though this may lead to incorrect model/problem specification (Murray 1999). The reality is that such legacy approaches are now well known to be problematic, often suffering from modifiable areal unit issues, ignoring obvious barriers to travel, having flawed behavioral assumptions, etc., in relation to the problem contexts they address.…”

Section: Discussionmentioning

confidence: 99%

Spatial Analysis and Modeling: Advances and Evolution

Murray

2020

Geographical Analysis

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This review is based on a plenary lecture delivered at a recent annual meeting of the American Association of Geographers, sponsored by the Spatial Analysis and Modeling specialty group. This group began around 1979 as Mathematical Models & Quantitative Methods, with a subsequent name change in 2000 to better reflect the maturing interests and concerns of members. Some twenty years down the road, advances in computing, methods, and models across academic disciplines have brought about many advances and evolution in capabilities. This article discusses a number of important spatial analytical methods with the intent of highlighting understanding and solution. Further, this is based upon development efforts rooted in the fundamentals of GIScience and spatial data science. Three spatial analytical approaches are reviewed, offering insight regarding evolved capabilities. Of particular emphasis is the ability to take advantage of derived geographic knowledge in order to structure, solve, and apply these methods.

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Section: Discussionmentioning

confidence: 99%

Spatial Analysis and Modeling: Advances and Evolution

Murray

2020

Geographical Analysis

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“…In fact, quantifying, measuring and modeling landscape pattern or structure has long been the primary focus of spatial forest planning. Many researchers have focused on restoring habitat connectivity, reducing habitat fragmentation, and preserving suitable old growth habitats to establish spatial forest integrity [10,17,34,44,79,80]. Both the exact models and heuristics have been used to generate solutions to control landscape fragmentation and establish spatial integrity in a landscape through designing harvest scheduling activities.…”

Section: Spatial Constraints (Biodiversity Conservation)mentioning

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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“…Spatial planning principally refers to the geographic arrangements of both patches such as forest types, stands and habitats, and management intervention units such as harvest blocks across a landscape [11,17,21,[46][47][48]. Typically, it is associated with tactical and operational planning levels.…”

Section: Spatial Planningmentioning

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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Focal-Point Aggregation Under Area Restrictions through Spatially Constrained Optimal Harvest Scheduling

Cited by 7 publications

References 30 publications

Spatial Analysis and Modeling: Advances and Evolution

Spatial Analysis and Modeling: Advances and Evolution

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

A Design for Addressing Multiple Ecosystem Services in Forest Management Planning

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