What can decision analysis do for invasive species management?

Area of Science:

• Ecology
• Conservation Biology
• Decision Science

Background:

• Invasive species management decisions are complex due to uncertain outcomes, conflicting objectives, and diverse stakeholder values.
• Existing risk assessment protocols for invasive species often separate assessment from management, and rely on subjective expert judgment.
• This separation and subjectivity can lead to decisions that do not adequately incorporate social values or robust scientific predictions.

Purpose of the Study:

• To demonstrate how multiattribute decision analysis (MADA) can enhance invasive species management.
• To highlight the importance of explicitly incorporating social values and preferences into management decisions.
• To address the limitations of current risk assessment and management frameworks.

Main Methods:

• Utilizing the values structuring and probability-modeling components of formal decision analysis.
• Integrating scientific knowledge with social values to inform management strategies.
• Applying the framework to a case study of feral pig management in Hawaiian ecosystems.

Main Results:

• MADA provides a structured approach to make invasive species management decisions explicit and transparent.
• The proposed method integrates scientific predictions of impacts with societal preferences.
• This integration ensures management actions are responsive to both scientific evidence and public values.

Conclusions:

• Formal decision analysis offers a robust framework for improving invasive species management.
• Explicitly structuring social values and using probability modeling can overcome flaws in current approaches.
• An integrated approach is essential for effective and socially acceptable invasive species management, as illustrated by the feral pig example.