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Guidelines for systematic review in conservation and environmental management.

Andrew S Pullin1, Gavin B Stewart

  • 1Centre for Evidence-Based Conservation, School of Biosciences, The University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom. a.s.pullin@bham.ac.uk

Conservation Biology : the Journal of the Society for Conservation Biology
|December 22, 2006
PubMed
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Systematic reviews offer significant benefits for conservation decision-making. Further engagement is needed to develop and adopt evidence-based frameworks for environmental management.

Area of Science:

  • Environmental science
  • Conservation biology
  • Ecology

Background:

  • Applied disciplines increasingly use evidence-based frameworks for policy and management interventions.
  • Evidence-based frameworks aim for efficient and unbiased decision-making through accessible research findings.

Purpose of the Study:

  • To advocate for the adoption of systematic review frameworks in conservation.
  • To present guidelines for conducting systematic reviews adapted for conservation and environmental management.

Main Methods:

  • Developed guidelines for systematic reviews based on a health services model.
  • Included stages for protocol formation, search strategy, data inclusion, extraction, and analysis.
  • Highlighted modifications for ecological data through case studies, addressing quantity, accessibility, and quality challenges.

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Main Results:

  • Ecological data presents unique but manageable challenges for systematic reviews.
  • Guidelines were critically modified for protocol formulation, data quality assessment, extraction, and synthesis.
  • A Web-based open-access library is planned for review dissemination.

Conclusions:

  • Systematic reviews offer substantial benefits for conservation and environmental management.
  • Increased scientific and practitioner engagement is crucial for developing and implementing evidence-based frameworks.
  • Further systematic reviews are needed to fully realize the potential of evidence-based conservation.