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Related Experiment Videos

Finding the tradeoffs between the reserve design and representation.

Kristina D Rothley1

  • 1School of Resource and Environmental Management, Simon Fraser University, Burnaby, Canada. krothley@sfu.ca

Environmental Management
|May 12, 2006
PubMed
Summary

Conservation planning can now balance species representation with design principles for reserve networks. This approach optimizes reserve selection for efficiency and effectiveness, considering species dispersal capabilities.

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Area of Science:

  • Conservation Biology
  • Ecological Planning
  • Biodiversity Management

Background:

  • Traditional reserve selection tools prioritize minimum cost for meeting conservation targets.
  • These methods often treat crucial design factors like persistence as secondary objectives.
  • This can lead to suboptimal reserve networks with practical risks.

Purpose of the Study:

  • To develop a method for generating reserve networks that simultaneously maximize species representation and design effectiveness.
  • To explore trade-offs between representation and design principles under site number constraints.
  • To account for varying dispersal capabilities of species in reserve network design.

Main Methods:

  • Generated reserve networks for a hypothetical landscape using multi-objective optimization.

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  • Calculated network efficiency based on species captured per site.
  • Measured network effectiveness using patch size, total area, and interpatch connectivity.

    • Main Results:

    • Produced trade-off curves illustrating compromise solutions between representation and design.
    • Identified non-dominated alternatives for reserve selection considering different dispersal abilities.
    • Provided detailed site lists and connectivity information for each alternative reserve network.

    Conclusions:

    • Integrating design principles directly into reserve selection yields more effective and robust conservation networks.
    • The trade-off analysis provides valuable insights for decision-making in conservation planning.
    • This approach offers a more holistic strategy for biodiversity conservation.