Selecting Indicators of Conservation Success for Nature and People in the Noosa Biosphere Reserve

Rodrigo Minici de Oliveira

doi:10.25907/01108

Conservation success depends on our ability to regularly monitor what matters, represented by meaningful indicators. Yet many monitoring programmes struggle to link strategic priorities to operational plans, resulting in biased, fragmented, or infeasible indicator sets. This thesis seeks to address that challenge by developing and testing a structured, context-sensitive framework for selecting and implementing indicators of conservation success. Focusing on UNESCO Biosphere Reserves as model platforms for integrated monitoring, the research spans ecological, socio-economic, and governance domains. Grounded in an applied case study in the Noosa Biosphere Reserve, Queensland, Australia, the thesis combines literature review, methodological development, and practical application to inform indicator selection and use in conservation policy and practice. The first data chapter presents a 30-year literature review comparing indicators used in peer-reviewed and grey literature – representing conservation science (i.e., academic publications) and practice (i.e., practitioner-generated reports). Findings reveal significant biases in indicator types, spatial scale, and in the framing of conservation goals. Academic studies more often adopted ecological indicators and methodological rigour, while practitioner-generated reports featured more holistic, socio-economic and governance indicators, in alignment with project implementation and reporting needs, and current calls for more integrated, people-centred approaches to conservation. These findings suggest that science and practice reflect contrasting priorities and structural constraints. Bridging these differences requires collaborative, context- sensitive frameworks that combine methodological rigour with local relevance, helping to align conservation monitoring with the needs of both nature and people. The second data chapter applies, tests and adapts the recently developed Holistic Indicator Selection Protocol (HISP), a participatory and criteria-based framework designed to prioritise indicators across ecological, socio-economic, and governance dimensions. Using “situation models” that represent conservation strategic plans, alongside expert and stakeholder consultation, the HISP supports indicator selection based on conservation threats, strategic planning, and expert and local stakeholder knowledge. Trialled in the Noosa Biosphere Reserve, the HISP enabled the balanced selection of ecological and socio-economic indicators that addressed 16 of 17 United Nations Sustainable Development Goals and 100% of the United Nations Educational, Scientific and Cultural Organisation (UNESCO) Biosphere Reserve functions of conservation, development, and logistic support. By aligning community and expert insights with global goals, the HISP advances holistic monitoring for landscape-scale conservation and sustainable development. The third data chapter proposes a seven-step approach for refining potential indicator sets and implementing them under real-world constraints. Drawing on policy documents, expert consultation, and existing datasets, the framework enables practitioners to narrow large indicator lists through redundancy filtering, resource assessment, and feasibility screening. Applied collaboratively with Noosa Shire Council and the Noosa Biosphere Reserve Foundation, the process refined 140 potential indicators to a final set of 55, spanning ecological, socioecological, socio-economic, and governance dimensions. Alignment with strategic priorities was validated using the HISP as an independent prioritisation index. This chapter demonstrates how structured indicator refinement can translate high-level goals into actionable monitoring plans, offering a transferable approach for strengthening conservation monitoring in diverse contexts. Together, these chapters contribute an integrated and transferable framework for advancing conservation planning and monitoring. The thesis offers original insights into indicator biases, practical tools for participatory prioritisation, and a structured approach for translating strategic goals into operational monitoring systems. By explicitly linking scientific methods with policy processes, the research addresses persistent barriers to effective monitoring – such as limited institutional capacity, inconsistent metrics, and fragmented cross-sectoral coordination. The resulting frameworks support the design of adaptive, scalable monitoring systems for conservation projects globally, guiding adaptive management, sustainability reporting, and collaborative efforts to achieve successful conservation outcomes for both nature and people.

Selecting Indicators of Conservation Success for Nature and People in the Noosa Biosphere Reserve

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