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Related Experiment Video

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Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

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Published on: June 7, 2024

Learning about colonization when managing metapopulations under an adaptive management framework.

Darren M Southwell, Cindy E Hauser, Michael A McCarthy

Ecological Applications : a Publication of the Ecological Society of America

|April 5, 2016

Summary

This summary is machine-generated.

Adaptive management can guide metapopulation restoration by learning colonization rates. Optimal strategies depend on whether managers actively seek information or passively adapt to new data.

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Area of Science:

Ecological management
Conservation biology
Population dynamics

Background:

Adaptive management is key for resolving uncertainty in complex ecological systems.
Its application in environmental management, particularly metapopulation restoration, is limited.
Significant uncertainty surrounds metapopulation restoration actions.

Purpose of the Study:

To determine optimal learning strategies for colonization rates in metapopulation management.
To apply adaptive management to metapopulation restoration under uncertainty.
To develop a framework for managing mainland-island metapopulations.

Main Methods:

Developed a mainland-island metapopulation model for the bay checkerspot butterfly.
Assessed three management approaches: adding patches, increasing patch area, or doing nothing.
Utilized stochastic dynamic programming to find optimal passive and active adaptive management strategies.

Main Results:

Passive adaptive strategy: increasing patch area is optimal below a colonization rate threshold; adding patches is optimal above it.
Active adaptive strategy: adding patches is optimal only when confident in high colonization rates.
Monitoring colonization of vacant patches is crucial for learning.

Conclusions:

Provides a framework for adaptive metapopulation management under uncertainty.
Highlights the importance of learning about colonization dynamics for effective conservation.
Informs strategies for restoring threatened species like the bay checkerspot butterfly.