Linking the multiple types of monitoring to the adaptive management cycle to support environmental flows
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View abstract on PubMed
Summary
This summary is machine-generated.Adaptive management uses monitoring to improve environmental decisions under uncertainty. This study introduces a double-loop framework to optimize monitoring investments, shifting resources as knowledge grows for more effective ecosystem management.
Area Of Science
- Environmental Science
- Ecology
- Conservation Biology
Background
- Environmental management programs face uncertainty, necessitating adaptive management for iterative decision-making.
- Monitoring is crucial for adaptive management, providing data to assess intervention effectiveness and reduce uncertainty.
- Existing literature on adaptive management often overlooks the specific role and evolution of monitoring programs.
Purpose Of The Study
- To examine the role of different monitoring types in supporting adaptive management.
- To understand how monitoring programs are designed and evolve over time.
- To propose a novel framework for optimizing monitoring investment in environmental management.
Main Methods
- Development of a novel double-loop framework to identify critical uncertainties and adjust monitoring investments.
- Application of the framework to a case study on golden perch (Macquaria australasica) and environmental flows in the Goulburn River, Australia.
- Analysis of monitoring data over 8 years to evaluate knowledge acquisition and inform resource allocation.
Main Results
- The double-loop framework facilitates the identification of critical uncertainties and guides iterative adjustments in monitoring.
- Monitoring investment can be strategically shifted from filling established knowledge gaps to addressing new uncertainties or outcomes.
- In the Goulburn River case study, the flow-spawning relationship for golden perch is now well-understood, allowing for reduced monitoring in this area.
Conclusions
- The proposed double-loop framework enhances the efficiency and effectiveness of environmental management programs.
- This approach strengthens purposeful learning within the adaptive management cycle by optimizing monitoring efforts.
- The framework is broadly applicable across diverse environmental management fields, promoting better decision-making under uncertainty.
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