Project 3 – Understanding the spread risk of invasive marine species (IMS) in the context of decommissioning
Full Project Title
Understanding the spread risk of invasive marine species (IMS) in the context of decommissioning.
Identify evidence of IMS associated with existing O&G structures and determine how IMS risk varies with different decommissioning scenarios and management regimes
Common hazards in a marine biosecurity context are non-native species that are likely to arrive (or already be present) and have the potential to cause adverse effects (harm). In the context of this research, project hazards are non-native species, likely to be present on existing O&G structures, that may cause various levels of harm under differing decommissioning scenarios.
In the absence of direct survey information to indicate which species are present on existing O&G platforms, this project will undertake a comprehensive systematic review of the available global primary and grey literature to:
- identify marine species reported from O&G structures (including, where possible, identified according to bioregions);
- determine which species are known to have a history of invasions or are known IMS through comparison with global marine invader datasets (eg Hewitt et al. unpub data; World Register of Introduced Marine Species); and
- determine which recognised IMS overlap with existing distributions in Australia (Australian National Port Surveys; Hewitt et al. 2009).
This will result in a list of recognised IMS (or potential IMS) hazards associated with O&G structures.
Following the development of the IMS list, this project will evaluate the potential for IMS impact under decommissioning scenarios and management regimes using a risk-based approach.
- A global review of species known to be associated with O&G structures
- An understanding of the IMS risks associated with decommissioning scenarios and management regimes, with information sufficient to inform decision making for individual O&G structures.
- A regime of risk management actions supported by decision trees to be employed when considering individual O&G structures