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Dynamic minimum set problem for reserve design: Heuristic solutions for large problems.

Mathieu Bonneau1,2, Régis Sabbadin3, Fred A Johnson4

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Designing nature reserves is crucial for biodiversity. This study presents two new strategies for dynamic reserve design, helping to protect threatened habitats in changing landscapes.

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Area of Science:

  • Conservation Biology
  • Landscape Ecology
  • Environmental Management

Background:

  • Habitat conversion is a primary driver of biodiversity loss.
  • Reserve design aims to identify optimal areas for habitat preservation.
  • Dynamic reserve design addresses time-dependent constraints and potential habitat loss.

Purpose of the Study:

  • To propose heuristic strategies for dynamic reserve design problems.
  • To evaluate the effectiveness of these strategies in large-scale reserve selection.
  • To identify optimal approaches for protecting threatened habitats under dynamic conditions.

Main Methods:

  • Developed two heuristic strategies for dynamic reserve design.
  • Strategy 1: Combined Marxan and site-ordering algorithms.
  • Strategy 2: An augmented naive myopic heuristic.

Main Results:

  • Evaluated strategies using simulated examples.
  • The augmented greedy heuristic proved effective for threatened habitats.
  • Compactness of the reserve network was also considered.

Conclusions:

  • The augmented greedy heuristic is a promising approach for dynamic reserve design.
  • This method is particularly valuable when protecting highly threatened habitats.
  • Accounting for network compactness enhances reserve design effectiveness.