2024
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This resource is a map of artifical reef permit locations provided by The Department of Climate Change, Energy, the Environment and Water
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The Blue Economy CRC has commissioned a team of experts from CSIRO to support the collation of data and produce sets of maps as inputs to the Futures of Seafood study State of Play (Work Package 1). The study team greatly appreciate the efforts taken by jurisdictional governments to supply the data, and the ongoing engagement on the production of these maps. The team is now finalising the jurisdictional map sets and is seeking final review of the data. Once reviewed, these maps will be included in the Futures of Seafood outputs that will be available on https://futuresofseafood.com.au/
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This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Development of regional modelling and risk assessments to inform offshore renewable decision-making". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Australia is entering a phase of rapid offshore renewable energy (ORE) development, with several regions earmarked for wind farms on the eastern and south-eastern coasts. In considering the environmental acceptability of wind energy projects, the Department of Climate Change, Energy, the Environment and Water (DCCEEW) will assess potential risks to the recovery of populations listed under the Environment Protection and Biodiversity Conservation Act (EPBC Act 1999). The assessment process will consider cumulative environmental impacts at a regional or even ocean basin-scale, in addition to environmental factors specific to ORE. Additionally, the National Offshore Petroleum Safety and Environment Authority (NOPSEMA) has identified the need for improved understanding on species, processes and industry activities to support impact and risk assessment. This project will demonstrate the use of two kinds of modelling (whole-of-ecosystem modelling and individual species modelling) to estimate the impacts and risks of installing ORE infrastructure in the Gippsland declared region. The project will use the Impact pathways defined by DCCEEW to structure its approach and methods, and will work with DCCEEW and NOPSEMA to identify priority species and associated data needs. The project will use the recently declared Gippsland region as a case study, together with the 12 ORE impact pathways identified by DCEEW, to contextualise the quantitative modelling and cumulative risk calculations that will be performed. Outputs • Species-specific population models for key threatened and migratory species for the Gippsland ORE region [spatial outputs] • Outputs from Whole of Ecosystem (WoE) modelling [risk-based impact spatial outputs] • Final project report [written]
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This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "De-risking nature repair activities in Australian coastal and marine ecosystems". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Scaling up marine and coastal restoration and nature-based solutions (NbS) (“nature repair”) in Australia is necessary to achieve national and international commitments to biodiversity and climate change mitigation and adaptation. The goal of this project is to guide coastal marine nature repair in Australia at scales relevant to help meet national targets through the following aims: 1) Update a stocktake of the coastal and marine restoration and NbS activities which have occurred in Australia. 2) Develop the evidence-base to de-risk coastal and marine nature repair. 3) Scope a forward-looking coordinated framework to support continued implementation of investments in nature repair of Australia’s coastal and marine ecosystems. Addressing these aims is required to move forward beyond uncoordinated efforts to achieve effective seascape-scale interventions that support the Nature Positive Plan and international targets. Outputs • Updates to Australian Coastal Restoration Network database, and the Living Shorelines Australia database [dataset] • Draft national framework for coordinated nature repair [written] • Final project report [written]
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The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed form the multibeam hydroacoustic dataset. The data is presented as a maximum likelihood map incorporating all five prediction classes: (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor). An updated version of this data are available (2022) Revised predictive benthic habitat map for Darwin Harbour. Report prepared for Department of Environment, Parks and Water Security. Australian Institute of Marine Science, Darwin, 127 pp.
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This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Assessing the vulnerability of southern right whale and blue whale populations to disturbance from windfarm developments". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Australia is entering a phase of rapid offshore renewable energy development, with several marine regions earmarked for wind farms. Underwater noise generated by the construction and operation of large wind turbines may affect species such as whales that rely on their acoustic environment to feed, breed and survive. This desktop study used available data and expert elicitation to develop an interim Population Consequences of Disturbance (iPCoD) model for blue whales and southern right whales in relation to one or multiple offshore wind farm developments off Portland and Gippsland, Victoria. This method has been used internationally to assess the impacts of offshore wind farm developments, including for harbour porpoises in British waters. The model follows a decision pathway to consider factors such as: • when and where development activities overlap with populations; • the proportion of populations affected; • the life stages and reproductive phases affected; and • the chances of repeated disturbance. The model was used to predict the timing and location of cumulative impacts of the proposed activities at a regional scale, identifying which species are at ‘high-risk’ and are a priority for further research; noise levels mitigation measures required to adequately reduce the risk of compromised population viability; what research is needed to better understand population-level consequences of noise; and which mitigation measures can substantially reduce the risk of population-level effects. The iPCoD model will be able to be updated as new data become available, and is relevant for assessment against other ocean-based activities such as oil and gas infrastructure and carbon capture and storage. Outputs • iPCoD model outputs [dataset] • Species distribution maps, as derived for existing observational data [spatial visualisation/story] • Final Project Report [written]
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This project aimed to identify and map critical habitats for Australian sea lions (Neophoca cinerea) to assess the ecological value of different habitats, and identify risks to their populations. Video imagery, GPS, time-depth and accelerometer/magnetometer data was captured from eight adult female Australian sea lions from Olive Island (n=4) on the western Eyre Peninsula and Seal Bay (n=4) on Kangaroo Island in South Australia. Sea lions were instrumented with animal-borne cameras with integrated accelerometers/magnetometers (CATS Cam, 135 x 96 x 40 mm, 400 g) and satellite-linked GPS loggers with integrated time-depth recorders (SPLASH-10, Wildlife Computers, 100 x 65 x 32 mm, 200 g). Sea lions were sedated and anaesthetised and bio-logging instruments were glued to the pelage on the dorsal midline. Bio-logging instruments were recovered after a single foraging trip (~1-6 days). The data collected in this project provides fundamental information on critical benthic habitats for Australian sea lions, the differences in foraging behaviour of individual sea lions, and their prey preferences. This information improves our understanding of threats to sea lion populations and will support future conservation actions to recover the species.
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This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Enhancing monitoring approaches to evaluate the abundance, life history and critical habitats of the endangered Australian sea lion". For specific data outputs from this project, please see child records associated with this metadata. -------------------- The Australian sea lion (ASL; Neophoca cinerea) is Australia’s only endemic pinniped. Populations have declined by more than 60% over the last 40 years to extremely low levels, leading to its endangered status. Known threats to the species include fisheries bycatch, disease, pollution, entanglement in marine debris, and climate change. Improving our understanding of the species’ abundance, life history and critical habitats is essential for evaluating these threats and guiding recovery actions but is challenging due to the species’ unique life-history and breeding biology, longevity, demersal foraging behaviour and occupancy of remote breeding habitat. This project aims to improve the monitoring and inform the management of Australian sea lions by developing cost-effective methods for acquiring abundance data from under-surveyed regions impacted by anthropogenic pressures. To do so, it will: • Apply drones to enhance monitoring at suitable breeding and haul-out sites • Develop efficient techniques to process and analyse demographic data so that survival and reproductive success estimates from a microchipped population at Seal Bay can be routinely updated; and • Continue to deploy underwater cameras on sea lions to identify and understand critical habitats and risks. Findings from these activities will underpin the National Recovery Team conservation efforts, in line with the Australian Government's Threatened Species Action Plan and Healthy Country plans. Outputs • Qualitative and qualitative spatial assessments of breeding sites from helicopter surveys in Recherche Archipelago [dataset] • Drone-collected photogrammetry, FLIR, thermal imaging and LiDAR data [dataset] • Demographic results from analysis of Seal Bay microchipping program [dataset] • Tracking data from sea lion-deployed tags: location, depth, time, temperature, light, acceleration [dataset] • Timestamped video footage from sea lion-deployed cameras [dataset] • Short non-technical summaries to distil the key findings and take-home messages [written] • Final project report [written]
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The datasets contain summaries of Commonwealth logbook data on catch and effort distribution for AFMA managed commercial fisheries in state marine and estuarine waters. The logbook data has been recorded and submitted to AFMA by commercial fishers. The data are aggregated to produce summaries of total catch and effort by fishery at a 0.1 degree resolution where 5 boats or more operate. For areas where less than 5 boats operate the data is shown as confidential. The data was mapped using 5 year - financial year periods; 2003/04 to 2007/08, 2008/09 to 2012/13, 2018/19 to 2022/23, and 1 year; 2022/23.
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This record describes data collected for the 2013 report "Synthesis of seagrass mapping studies conducted by the Water Science Branch of the Department of Water", and collected more recently by the Department of Water and Environmental Regulation ongoing monitoring. This project record provides linkage to each of metadata records describing seagrass data collected from the 11 study areas: Beaufort Inlet (2009), Hardy Inlet (2008), Irwin Inlet (2009), Leschenault Estuary (2009), Oyster Harbour (1988, 1996, 2006), Princess Royal Harbour (1996, 2006) Stokes Inlet (2009), Swan Canning (2011), Walpole Nornalup Inlets (2009), Wellstead Estuary (2009), Wilson Inlet (2007, 2008). Additional monitoring data is available from the WA DWER seagrass group via https://data.wa.gov.au for the following study areas: Leschenault Estuary (2014-2023), Peel Harvey Estuary (2021), Hardy Inlet (2018, 2020, 2023), Wilson Inlet (2017-2022), Wilson Inlet (2017-2022), Oyster Harbour (2019, 2021), Princess Royal Harbour (2021). To access the source datasets from the 2013 Synthesis for each study site/sampling occasion in their original (unaggregated) form, see child records linked to this parent record.
IMAS Metadata Catalogue