NESP MaC Project 1.7 - Towards a consolidated and open-science framework for restoration monitoring (Griffith Uni, NSW DPI)

This record provides an overview of the NESP Marine and Coastal Hub small-scale study - "Towards a consolidated and open-science framework for restoration monitoring". No data outputs were generated by this project. -------------------- Coastal habitat restoration is scaling up rapidly in Australia and covers a range of diverse ecosystems including oyster reefs, seagrass meadows, mangrove forests, kelp forests, and saltmarshes. While monitoring is commonly included in these projects, approaches are often uncoordinated, inconsistently funded, and rarely follow open science protocols. Previous NESP-funded projects have advanced understanding of the ecology and service provision of threatened ecosystems and established targets for repair based on reference conditions (e.g. Marine Biodiversity Hub project B4). They also created a national database of marine and coastal restoration projects (Australian Coastal Restoration Network: project E5) and supported the development of monitoring, evaluation, reporting and improvement (MERI) systems across various sectors. Building on this foundation, the current project synthesised monitoring approaches across multiple habitat types by drawing on the collective expertise of Australian researchers. It also explored the integration of emerging technologies—such as automation, artificial intelligence, and eDNA—to improve monitoring efficiency and cost-effectiveness. The primary output of this project is a coordinated, open-science monitoring framework that incorporates clearly defined restoration goals and a core set of universal variables. Developed through expert consultation, the framework supports consistent benchmarking across projects while accommodating habitat-specific and goal-driven metrics. The framework promotes data accessibility, standardised definitions, and the integration of new technologies to streamline the development of future restoration projects and maximise the value of restoration monitoring. Outputs • Best-practice toolkit / final project report [written]