IMAS Metadata Catalogue
Coastal Waters (Australia) | Coastal Waters (Australia) | Victoria Coast, VIC
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It is recognised that Indigenous communities are likely to be impacted by Offshore Renewable Energy (ORE) wind farm developments. This work conducted a desktop study to identify Traditional Owner interests in areas adjacent to current ORE development areas. The purpose of the work was to gauge the extent of existing knowledge on cultural values and list appropriate avenues for future engagement with Traditional Owners to better understand the potential impact of ORE developments. This included identifying existing Sea Country plans for these communities, identifying existing information on cultural values, investigating Indigenous Cultural Intellectual Property, and further notes on preferred methods of engagement for these Indigenous communities potentially impacted by ORE developments. This raw spreadsheet of compiled information is withheld due to cultural sensitivities, but a synthesis of information will be available in the Project 3.3 final report once finalised (estimated May-June 2024). Please contact the NESP Data Wrangler (Southern node) to discuss access to the raw spreadsheet of information: Emma.Flukes@utas.edu.au
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This project developed an interim Population Consequence of Disturbance (iPCoD) model for blue whales (Balaenoptera musculus) and southern right whales (Eubalaena australis) to document a methodology for assessing population-level impacts of one, or multiple, wind farm developments off the southern Australian coast. The iPCoD model was developed in Europe to quantify how disturbances of individuals caused by physiological injury or changes in behaviour can have population-level consequences in data poor marine mammal populations. This model was adapted to suit Australian marine mammal species, highlighting key data gaps for locally threatened populations that overlap in range with the declared offshore wind areas in Australia. Due to the lack of baseline data currently available, this study documented a framework that can be updated as more information becomes available. We outlined how to leverage simulation-based population modelling as a tool for policymakers, industry and management authorities, to aid in environmental impact assessments, with a specific focus on data poor marine mammal populations.