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Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration
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Passive and active adaptive management: approaches and an example.

Byron K Williams1

  • 1U.S. Geological Survey Cooperative Research Units, Reston, VA 20192, USA. byron_ken_williams@usgs.gov

Journal of Environmental Management
|November 16, 2010
PubMed
Summary
This summary is machine-generated.

Adaptive management offers iterative learning for resource conservation. This study clarifies active versus passive adaptive management (AM) approaches using a wildlife refuge drawdown example, detailing costs and learning rates.

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Area of Science:

  • Environmental Science
  • Conservation Biology
  • Resource Management

Background:

  • Adaptive management (AM) is crucial for resource conservation, promoting iterative, learning-based decisions.
  • Confusion persists regarding the practical implementation and specific approaches within adaptive management frameworks.
  • A key distinction lies between active and passive adaptive decision-making strategies.

Purpose of the Study:

  • To clarify and illustrate active and passive adaptive management approaches.
  • To contrast these approaches using a practical example of water impoundment drawdown in a wildlife refuge.
  • To analyze objectives, costs, and learning rates associated with each adaptive management strategy.

Main Methods:

  • Illustrative example: Drawdown of water impoundments on a wildlife refuge.
  • Comparative analysis of active versus passive adaptive management strategies.
  • Discussion of practical challenges and cost-benefit trade-offs in implementing adaptive management.

Main Results:

  • Demonstrated distinct approaches for active and passive adaptive management in the drawdown scenario.
  • Contrasted strategies based on specific objectives, implementation costs, and potential for learning.
  • Highlighted trade-offs between initial investment costs and long-term conservation benefits.

Conclusions:

  • Active and passive adaptive management offer different pathways for iterative learning in conservation.
  • Understanding these distinctions is vital for effective resource decision-making and achieving long-term conservation goals.
  • Practical implementation requires careful consideration of costs, learning potential, and specific management objectives.