Power to the People, Power to the Reef: Harnessing Community Capital to Scale Adaption Delivery in the Great Barrier Reef
Ananya Majumdar, Rachel Eberhard, Karen Vella, Adam Smith, Ryan F. Donnelly, D.L. Foster, Dorean Erhart, Trevor Meldrum, Peppi Iovanella, Olivia Brodhurst, Diane Tarte, Daniel Kimberley
- Year
- 2025
- Citations
- 1
- Access
- Open access
Abstract
The literature on resilience-building in the Great Barrier Reef (GBR) is predominated by institutional voices. Although community involvement is appreciated in this scholarship, the perspectives are mainly those of scientists and researchers. Community input is used mainly to inform and strengthen academic findings, and there are few articles in the voices and words of GBR community members. Our opinion piece, with its majority co-authorship by the Stakeholder Advisory Group of Australia’s Reef Restoration and Adaptation Program (RRAP), addresses this literary gap. The piece draws upon the barriers to involvement in adaptation delivery as experienced by these GBR locals who have diverse backgrounds related to reef adaptation, including aquaculture, tourism, robotics, natural resource management, civil society, policy and Traditional Owner-led environmental stewardship. Currently, the social capital of communities is underutilised in GBR intervention delivery. However, with the urgency for action in the Reef, we call on governments and researchers to leverage the expertise, labour and infrastructure of local communities to strengthen institutional deployment capacities and thereby accelerate the scale and impact of adaptation efforts. We identify the key elements of inclusive deployment as shared leadership, flexible and inclusive funding, and innovative strategies to address permitting and regulatory barriers to community-led interventions deployment.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992