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Related Experiment Videos

Multidimensional evaluation of managed relocation.

David M Richardson1, Jessica J Hellmann, Jason S McLachlan

  • 1Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Matieland 7602, South Africa. rich@sun.ac.za

Proceedings of the National Academy of Sciences of the United States of America
|June 11, 2009
PubMed
Summary
This summary is machine-generated.

Managed relocation (MR) is a climate change adaptation strategy. A new multidimensional framework integrates ecological and social factors for evaluating MR decisions, improving transparency and acknowledging tradeoffs.

Related Experiment Videos

Area of Science:

  • Ecology and Conservation Biology
  • Climate Change Adaptation
  • Biodiversity Management

Background:

  • Climate change necessitates novel biodiversity management interventions.
  • Managed relocation (MR), also known as assisted colonization, is a proposed strategy.
  • Current decision-making for MR often relies on linear, limited frameworks.

Purpose of the Study:

  • To develop a more inclusive strategy for evaluating managed relocation.
  • To address the need for tools that integrate scientific information and social values under uncertainty.
  • To provide a pragmatic framework for complex MR decision-making.

Main Methods:

  • Development of a heuristic tool incorporating ecological and social criteria.
  • Creation of a multidimensional decision-making framework.
  • Visualization of criteria in a 2-D space by collapsing them into 4 classes.

Main Results:

  • The proposed framework captures uncertainty in evaluation criteria.
  • It enhances transparency in the managed relocation evaluation process.
  • It explicitly recognizes inherent tradeoffs among stakeholders.

Conclusions:

  • A multidimensional framework offers a pragmatic approach to managed relocation decisions.
  • This tool aids in summarizing key dimensions of MR evaluations.
  • It supports informed decision-making by integrating diverse considerations and acknowledging uncertainty.