Causal Loop Analysis Can Identify Solutions to Complex Dog Management Problems in Remote Australian Aboriginal...

Area of Science:

• Community-based participatory research
• Animal management
• Public health

Background:

• Companion animal management in Australian remote Aboriginal communities presents complex challenges due to diverse stakeholder needs and resources.
• The Comm4Unity approach was developed to address multifaceted community issues.

Purpose of the Study:

• To adapt and test causal loop analysis (CLA) as a tool for understanding systemic causes of dog overpopulation in Wurrumiyanga.
• To co-develop transformational management solutions with community stakeholders.

Main Methods:

• Employed the Comm4Unity framework's second step, adapting causal loop analysis.
• Conducted ten focus group discussions with three key stakeholder groups.
• Utilized causal loop analysis to map feedback loops driving dog overpopulation.

Main Results:

• Identified 13 positive feedback loops perpetuating dog overpopulation.
• Co-developed 22 collaborative, transformational solutions with community groups.
• Training and education emerged as top priority solutions across all stakeholder groups.

Conclusions:

• Causal loop analysis effectively identified systemic drivers of dog overpopulation in a remote community setting.
• Collaborative development of solutions fostered community capacity and agency for implementation.
• The study highlights the potential of participatory approaches for effective companion animal management.