The soundscape ecology of the fin whale (Balaenoptera physalus) in Antarctic and Australian waters
Supervisors: Robert McCauley, Christine Erbe, Ben Saunders and Brian Miller
The fin whale is a globally vulnerable species which faces a wide range of threats to recovery. Two sub-species are currently recognised: one in the Northern Hemisphere and one in the Southern Hemisphere. Literature pertaining to the Northern Hemisphere sub-species offers a rounded description of the soundscape ecology of the fin whale with long-term analysis of their acoustic repertoire, seasonal distribution between high and low-latitude regions and the ambient noise environment of fin whale habitats. In contrast however, there is a lack of broad-scale, long-term understanding of the Southern Hemisphere sub-species of fin whale and their acoustic ecology.
The overall aim of this research project is to fill in the gaps of this knowledge within Antarctic and Australian waters by a) developing tools for the study of fin whale acoustic ecology, b) characterising the acoustic repertoire of fin whales, c) identifying the temporal occupancy and spatial-distribution of the animals, and, d) investigating if the animals make alterations to their vocal displays in response to ambient noise. In order to analyse long-term acoustic recordings of fin whale calls, data will be obtained from the Australian Integrated Marine Observing System (IMOS), the Comprehensive Test Ban Treaty Organisation (CTBTO) nuclear test monitoring station and the Australian Antarctic Division (AAD).
Positive identification and classification of fin whale calls can be used to infer animal presence, habitat use and population parameters. Furthermore, potential threats to the species can be explored through assessment of ambient noise in regions of fin whale presence. This knowledge may inform conservation management of fin whales at an international and national level.
Acoustic ecology of commercial fish species on Australia’s southern continental shelf
Supervisors: Robert McCauley, Christine Erbe, Ben Saunders and Iain Parnum
The earth’s oceans are being exposed to human and natural disturbances. It is crucial to enhance scientific understanding of marine ecosystems in order to measure and manage the impacts of these disturbances. Passive acoustic monitoring is a cost-effective and efficient method of collecting ecological data. The acoustic monitoring of soniferous fish species delivers explicit, non-invasive and long-term data on their behaviour and distribution. Knowledge of the acoustic behaviour of fish is still relatively limited and it is imperative that this is addressed for fish to be used as indicators for ecological change.
This PhD project will study the ecology of fish choruses commonly recorded along the edge of the southern Australian continental shelf from Portland, Victoria, to Bremer Bay, Western Australia. I aim to determine the spatiotemporal patterns and environmental drivers of these choruses via analysis of existing and newly collected passive acoustic, oceanographic and remote sensing data. Field surveys, to be conducted off Bremer Bay, Western Australia, Port Lincoln, South Australia and possibly Portland, Victoria will procure new passive acoustic data and underwater video footage to be used for identification of the fish species producing the choruses. Fish samples of the chorus species will be collected and dissected to examine the structure of the auditory systems of the fish.
This study will expand scientific knowledge of soniferous fish species and how they interact acoustically with the marine environment and each other. This project will contribute to the development of a successful method for ground-truthing fish choruses occurring along the edge of continental shelves and will obtain explicit ecological data which may be used to inform ecosystem and species management. This research has the potential to inform sustainable management of commercially harvested fish species and may contribute to the development of an autonomous, cost-effective and non-invasive monitoring tool for fish populations.
Source depth estimation from acoustic intensity vector sensors
Supervisors: Dr Alec Duncan, Dr David Matthews
Investigation of in-field devices for underwater surveying of reef structures
Supervisors: Iain Parnum, David Belton and Petra Helmholz
There are three commonly used methods for underwater surveying: acoustics (multibeam echo sounder), passive light (photogrammetry), and active light (laser). Each method can be accurate in creating and detecting features on the seafloor. However, each system has its own strengths and limitations. This project will be investigating how accurate and precise each method is at measuring underwater structures, such as artificial reefs. Where possible, the methods will be carried out on a known structure, e.g. where it has been directly (physically) measured or fabricated with known specifications. The study will also carry out repeat measurements in order to quantify accuracy and precision of the methods. The study will conclude by examining the effect of combining data from different methods (i.e. data fusion), to determine the best approach for underwater surveying
Monitoring seafloor habitats using multibeam echo-sounders
Supervisors: Iain Parnum, Michael Kuhn, Sasha Gavrilov and Justy Siwabessy
Anthropogenic activities have influenced all parts of the oceans including most isolated areas. These impacts can be reduced through better ocean management using different approaches which rely on accurate and high-resolution marine seafloor habitat maps. Unfortunately, available benthic habitat maps are seldom at the level of details and scales required for efficient ocean management using those approaches. Moreover, the seafloor is an arbitrary temporally and spatially changing environment due to multiple biological and physical processes. Thus, research and development of robust strategies and methods for mapping and monitoring marine seafloor habitats to tackle these challenging marine environmental issues is necessary and urgently needed.
Multibeam echo-sounders (MBESs) are the most advanced, complex, and effective available acoustic remote sensing systems for marine seafloor habitat mapping especially for deep and turbid water areas. Despite these advancements in multibeam survey technology and the key role of multibeam backscatter data in marine habitat mapping and monitoring, there is no standardized way to acquire, process, classify, and interpret acoustic backscatter data for producing marine habitat maps. To have a long-term management strategy for marine habitats, it is important to understand how well multibeam data can be used to monitor marine habitats. However, it is unclear how repeatable or how much change can be detected with such multibeam derived maps. The overall aim of this study is to develop methods for monitoring habitats with MBES, and to determine the level of marine habitat change that can be detected with multibeam data.
This study can be achieved using the existing data held at Centre for Marine Science and Technology (CMST) and publicly available data from shallow water international conferences and Geoscience Australia (GA). This research will review and evaluate the latest methods for producing consistent mapping for marine habitat discovery as well as marine habitat monitoring. Backscatter data will be processed and used to produce marine habitat maps using signal-based data processing software available at Curtin University such as CARIS Hips and Sips, Fledermaus FMGT, and CMST. Where ground-truth data is available then supervised maps will be produced, where no ground-truth data has been collected unsupervised maps will be produced.
This research will provide the appropriate and practical guidelines and recommendations regarding the system settings choice, the optimal data processing and analysis methods and strategies to obtain the highest benefits of monitoring marine seafloor habitat using multibeam systems. This is significant to current marine habitat mapping technology and marine resource management strategy based on marine habitat maps because there has been less attention to these issues in the literature.
The acoustic ecology of the Omura’s whale (Balaenoptera omurai) in Australia
Supervisors: Christine Erbe, Rob McCauley
The Omura’s whale (Balaenoptera omurai) was described as a new species of baleen whale in 2003, and was only identified alive in the wild in 2013. It was previously misclassified as ‘pygmy’ or ‘small-form’ Bryde’s whale due to similarities in appearance, but a distinctly smaller size. It is known from a few stranding and whaling specimens, opportunistic sightings, and a single in-depth field study conducted off the coast of Madagascar. Globally there remains a large absence of knowledge on the Omura’s whale’s behaviour and ecology. The Madagascan field study attributed vocalisations to the Omura’s whale which can be used to identify the species. Similar vocalisations have been detected off the northwest coast of Australia from Exmouth to the Timor Sea, but there has been no dedicated studies on the species’ ecology in Australian waters.
The aim of this research project is to improve our understanding of the bioacoustics, ecology and distribution of the Omura’s whale in Australia. I aim to 1) describe the structure of the Omura’s whale song detected in Australia; 2) determine the spatial distribution and seasonality of the Omura’s whale in Australian waters using acoustic presence; 3) model the environmental drivers of Omura’s whale presence; and 4) investigate any variations in Omura’s whale song or calling patterns in response to ambient noise.
The study will utilise long-term underwater acoustic recordings collected by Curtin University or as part of the Australian Integrated Marine Observing System over the past 20 years. Positive detections of Omura’s whale vocalisations can be used to identify presence of the species in a given area, at a given time, and can be used to determine their distribution and seasonality. Additionally, when acoustic presence of the species is correlated with oceanographic variables (e.g., sea surface temperature, chlorophyll-a concentration), prey biomass, and acoustic variables (e.g., presence of other species, anthropogenic noise, wind noise) we can determine drivers of the Omura’s whale’s distribution and any variation in calling behaviour in relation to ambient noise. These findings will provide important information on the Omura’s whale’s acoustic ecology and critical habitats, contributing towards conservation and management policies of the species in Australia and globally.
The acoustic ecology of dwarf minke whales in Australian waters
Supervisors: Christine Erbe, Rob McCauley
The dwarf minke whale (Balaenoptera acutorostrata, unnamed sub-species) is an under-described sub-species of the common minke whale and is widely distributed throughout the southern hemisphere only. Dwarf minkes whales have been acoustically recorded and visually observed at various locations around Australia, including the Great Barrier Reef Marine Park (GBRMP) off Queensland and North-west Marine Region (NWMR) off Western Australia (WA), particularly during the austral winter months. It is presumed that these areas provide important habitat for the sub-species during its suspected calving and breeding seasons, however further investigation is required to confirm this and to drive effective conservation management effort for the sub-species and its habitat. This research aims to improve our understanding of the acoustic behaviour and ecological requirements of dwarf minke whales in Australian waters. This will be the first dedicated study on dwarf minke whales off WA, based on passive acoustic monitoring (PAM).
PAM is a non-invasive and remote method commonly used for investigating underwater soundscapes and it can provide crucial information on vocal species’ behaviour and ecology. Dwarf minke whales produce stereotypical song by which they can be identified and monitored. PAM tools can be used to determine dwarf minke whale vocal presence in an area, at a given time, allowing us to study their large-scale migratory movements, distribution and seasonality, as well as their specific ecological and habitat requirements. Knowledge of the environmental drivers of dwarf minke whale habitat utilisation can help us to identify areas that may be of biological significance to the sub-species. Furthermore, PAM allows us to investigate dwarf minke whales’ acoustic behaviour and their responses to anthropogenic threats (including the ever-increasing anthropogenic noise in the marine environment) and the effects of other sounds in the marine environment (e.g., other marine animals and ambient noise) on their behaviour.
Long-term assessments of dwarf minke whale seasonal movements, habitat preferences and acoustic and ecological interactions will provide crucial information for assessing the vulnerability and response of the sub-species to potential pressures (and their ecological risk) in the NWMR off WA. This risk assessment approach will facilitate science transfer to regulatory bodies to assist with the implementation of a more comprehensive risk management framework, within which management priorities and long-term monitoring and conservation plans may be identified for dwarf minke whales off WA.
The socioeconomic value and acoustic ecology of the pygmy blue whale (Balaenoptera musculus brevicauda) in Australian waters
Supervisors: Rob McCauley, Christine Erbe
Accelerating climate change is expected to cause profound changes to our marine ecosystems, especially in Antarctic waters, associated with far-reaching impacts from declining ice cover to reduced primary and secondary productivity, particularly affecting great whales throughout their expansive migratory habitats. Human-based activities too, are exponentially rising. As a response, historical spatial and temporal ranges of whales are shifting.
The pygmy blue whale (PBW) (Balaenoptera musculus brevicauda), a subspecies of the blue whale, is one of the world’s most iconic marine animals, listed as endangered in Australia, yet classified as “Data Deficient” globally, on the IUCN species Red List. Little is known of their recovery since the cessation of whaling. With the demand for marine-based industry on the rise (e.g., shipping, oil and gas, mining), particularly in the North-west Shelf (NWS) marine region and off the North-west Cape (Exmouth, WA), PBWs may be increasingly vulnerable to anthropogenic threats.
While there is a high-level understanding of this species’ ecology, range, and behaviour in Australian waters, a more granular understanding of spatial and temporal distribution, and drivers of variability in distribution, is crucial to better inform environmental management and monitor EIOPBW recovery in Australian waters. The aim of this research is to facilitate more informed decision-making processes, by defining new areas of biological importance, quantifying the exposure to acoustic threats, and investigating seasonal variability of EIOPBW whale distribution in Australian waters, particularly in areas with increasing exposure to threats such as oil and gas exploration and production, and shipping.
Conventional, visual observation methods are logistically difficult and expensive for monitoring PBWs due to their low population densities, cryptic underwater nature, and often remote, offshore distribution. However, PBWs emit highly stereotypical song for hours to days at a time, by which they can be identified and tracked. Therefore, this project will utilise Passive Acoustic Monitoring (PAM), which enables more affordable, non-invasive (remote), long-term, and comprehensive datasets to be acquired. Starting with an existing archival dataset of 20 years of underwater recordings off WA, which will be augmented by 12-month recordings at key (missing) locations, a combination of computer-assisted and manual detection methods will yield a database of PBW acoustic presence in space and time. Ambient noise in PBW habitat will be quantified based on the same recordings, and non-acoustic features of the habitat will be derived from other (including satellite remote sensing) databases, allowing the development of a PBW acoustic habitat model (AHM).
The outputs of this project will include an estimate of the socioeconomic value of the species and improved understanding of drivers of blue whale habitat selection and anthropogenic threats. The application of these findings is to identify critical habitats and biologically important areas (BIAs) of the pygmy blue whale, to inform marine spatial planning and impact assessments for offshore developments. This information will be directly relevant to the 2025 revision for the Conservation Management Plan for the Blue Whale. Overall, this broadened understanding will directly contribute to the targeted implementation of increased conservation measures of this endangered and iconic species.