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  11. Automatic Detection Of Forest Management Units To Optimally Coordinate Planning And Operations In Forest Enterprises

Automatic detection of forest management units to optimally coordinate planning and operations in forest enterprises

Leo Gallus Bont1, Clemens Blattert1, Lioba Rath1

  • 1Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Sustainable Forestry Group, Zuercherstrasse 111, CH 8903, Birmensdorf, Switzerland.

Journal of Environmental Management
|November 19, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a spatial optimization model to automatically delineate forest management units (FMUs). This method enhances forest management planning and operational efficiency by creating compact, homogeneous units for targeted operations.

Area of Science:

  • Forestry Science
  • Spatial Optimization
  • Ecosystem Management

Background:

  • Mountain forests offer vital resources like timber and ecosystem services, including hazard protection, recreation, and carbon sequestration.
  • Efficient forest management requires integrating planning and harvesting operations, which are often handled separately.
  • Dividing forests into homogeneous Forest Management Units (FMUs) is crucial for linking planning with operations.

Purpose of the Study:

  • To develop a spatial optimization model for the automatic identification of Forest Management Units (FMUs).
  • To ensure FMUs are compact, operationally coordinated, and homogeneous in terms of site properties and ecosystem services.

Main Methods:

  • A spatial optimization model was developed using a p-median problem formulation.
Keywords:
Cable yardingDecision support systemForest operationLocation–allocation model

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  • The model employs mixed-integer linear programming for efficient computation.
  • Three distinct solving strategies were implemented for practical application.

    • Main Results:

    • The spatial optimization model successfully and automatically identifies Forest Management Units (FMUs).
    • The model generates comprehensible solutions within reasonable computation times.
    • The approach facilitates the evaluation of more management scenarios compared to traditional methods.

    Conclusions:

    • The developed spatial optimization model is an effective tool for automatically delineating FMUs.
    • This automated approach improves the quality and efficiency of forest management planning.
    • Expert review of the model's output is recommended to refine planning processes.
    Spatial optimisation