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Optimizing forest landscape composition for multiple ecosystem services based on uncertain stakeholder preferences.

Claudia Chreptun1, Andrej Ficko2, Elizabeth Gosling1

  • 1Institute of Forest Management, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany.

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Summary
This summary is machine-generated.

Optimizing forest landscapes involves balancing stakeholder needs and uncertain data. Diversified forests, featuring mixed stands, best provide multiple ecosystem services (ES) while ensuring resilience.

Keywords:
Forest stand typesLong-term forest compositionMulti-objective decision-makingRobust optimization

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Area of Science:

  • Forestry Science
  • Ecosystem Services Research
  • Optimization Modeling

Background:

  • Balancing diverse stakeholder preferences and uncertain data for forest landscape composition is complex.
  • Ecosystem services (ES) provision varies significantly across different forest types and management strategies.

Purpose of the Study:

  • To determine optimal forest landscape compositions that reconcile stakeholder preferences and minimize trade-offs between multiple ES.
  • To develop a robust optimization framework for adaptive forest management under uncertainty.

Main Methods:

  • Combined multi-objective robust optimization with online surveys of forest stakeholders in Slovenia and Germany.
  • Assessed the capacity of eight forest types to supply five key ES: avalanche control, carbon storage, recreation, timber production, and water flow regulation.

Main Results:

  • Optimized portfolios consistently included at least two forest types, emphasizing uneven-aged native deciduous and conifer mixed stands in both countries.
  • Germany's optimal portfolio included exotic species, while Slovenia's highlighted unmanaged stands for certain ES. Nature conservationists' preferences significantly differed, favoring unmanaged stands.
  • Diversified forest landscapes were shown to provide multiple ES and secure single ES provision under uncertainty.

Conclusions:

  • Multi-objective robust optimization provides a robust starting point for participatory planning in adaptive forest management.
  • Diversified forest landscapes are crucial for maximizing ecosystem service provision and ensuring resilience in the face of future uncertainties.