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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F24%3A100457" target="_blank" >RIV/60460709:41320/24:100457 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1007/s40725-024-00222-8" target="_blank" >http://dx.doi.org/10.1007/s40725-024-00222-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s40725-024-00222-8" target="_blank" >10.1007/s40725-024-00222-8</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40100 - Agriculture, Forestry, and Fisheries

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    CURRENT FORESTRY REPORTS

  • ISSN

    2198-6436

  • e-ISSN

    2198-6436

  • Svazek periodika

    2024

  • Číslo periodika v rámci svazku

    23.0

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    23

  • Strana od-do

    1-23

  • Kód UT WoS článku

    001242159300001

  • EID výsledku v databázi Scopus

    2-s2.0-85195606995