Koala conservation in central Queensland: anecdotes and perspectives from landholders and community
Year: 2026
Type: article
Abstract: Central Queensland (CQ) is characterised by low-density koala populations, primarily inhabiting large cattle properties. This study seeks to better understand various stakeholders’ (mainly landholders) experiences and perspectives on koalas across CQ in order to identify population trends and conservation needs. The research is based on substantial qualitative interview data, which is corroborated with available historical and scientific literature to present a narrative-style social analysis. This ‘hybrid’ research approach revealed a unique picture of relationships between people and koalas in CQ. Semi-structured interviews were conducted with 88 stakeholders (landholders, community members and conservation officers) across CQ. An analysis of the interview data revealed emergent topics that provide insight into the conservation efforts and challenges related to koala management in the region. The research finds a complex but hopeful picture for CQ koalas: koalas persist across much of Central Queensland; some populations are recovering while others remain vulnerable or locally extinct; landholders care deeply about koalas but fear regulatory consequences if government knows they have koalas existing on their property. Additionally, local knowledge provides critical insight for conservation, and conservation success will depend on collaboration, trust–building, and context–specific management. This research offers a nuanced understanding of the complex relationships between koalas, land use, and local communities. It informs effective conservation strategies and gives hope for this iconic species’ survival in this region through stakeholder collaboration.
Source: Australian Zoologist
DOI: 10.1071/az26001
Institution: Central Queensland University
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
OpenAlex ID: W7160825976
