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Frame Analysis: An Inclusive Stakeholder Analysis Tool for Companion Animal Management in Remote Aboriginal

Brooke P A Kennedy¹, Wendy Y Brown¹, James R A Butler²

¹School of Environmental and Rural Science, University of New England, Armidale, NSW 2353, Australia.

Animals : an Open Access Journal From MDPI

|March 3, 2021

Summary

This summary is machine-generated.

Companion animal management in Australian remote Aboriginal communities requires understanding diverse stakeholder perspectives. Frame analysis revealed shared concerns about dog overpopulation but differing priorities for management strategies.

Keywords:

animal management collective learning dog overpopulation indigenous resource management knowledge cultures power frames stakeholder participation

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Area of Science:

Community-based participatory research
Animal management in Indigenous communities
Social science research methods

Background:

Companion animal management in Australian remote Aboriginal communities (rAcs) is complex due to diverse stakeholder needs and resources.
Effective strategies require understanding the interplay of knowledge, power, and differing perspectives.

Purpose of the Study:

To present and apply the CoMM4Unity approach, a participatory systemic action research process.
To analyze stakeholder perspectives, knowledge, and power dynamics in animal management within a remote Aboriginal community.

Main Methods:

Frame analysis was employed to examine stakeholder viewpoints.
Twenty individuals from key stakeholder groups in Wurrumiyanga were interviewed.

Main Results:

Four distinct stakeholder groups were identified: Indigenous Locals, Indigenous Rangers, Non-Indigenous Locals, and Animal Managers.
All groups agreed on dog overpopulation as the primary issue, but differed in their opinions on management strategies, indicating a misalignment of goals and values rather than opposing frames.

Conclusions:

Frame analysis effectively reveals subtle variations in stakeholder identities, goals, and values.
Understanding these variations is crucial for prioritizing and implementing effective companion animal management measures in rAcs.