Martina is an AIMS@JCU student, a research associate at the Fish and Fisheries Lab at James Cook University, and a research assistant for Biopixel Ocean Foundation. Her work focuses on innovative technologies to enhance methods in shark research. Martina is collaborating with software engineers and to co-design a multi-species deep-learning model for photographic identification of shark and ray species. Alongside her work in AI, Martina has been experimenting with and fine-tuning remotely operated vehicles (ROVs), comparing their performance with traditional methods like diver surveys (UVS), baited underwater video stations (BRUVS), and traditional catches with drumlines.


Martina’s happy place is in the field, searching, observing, and following sharks and rays. Over the past eight years, she has gathered unforgettable memories and invaluable skills through her fieldwork experiences. She has deployed hundreds of BRUVs in marine protected areas in Fiji, spent nights longline fishing for baby sharks in Fijian rivers, photo-IDed great white sharks in South Africa, completed thousands of hours of dive surveys on the Great Barrier Reef, tagged sharks along Australia’s coast, and established a research breeding colony for epaulette sharks at James Cook University, performing all sorts of physiological assessments. More recently, she has become an ROV driver, using this technology to search for sharks and rays at night and in deep waters.


While Martina is fascinated by the creativity and problem-solving nature of new tech applications, her interests extend across fisheries science, species conservation, ocean governance, and the social science dimensions of shark conservation.

Sharks in time: investigating the implications of time on sampling methods for shark research.

2021 to 2023

Project Description

This project aims to investigate the effects of time on the techniques used for elasmobranchs research; how time matters across year-to-year, seasonal, and daily temporal scales. Specifically, the project will focus on non-invasive field techniques and how they can be improved to overcome temporal limitations. First, artificial intelligence will be used to assess the feasibility of photographic identification of elasmobranchs over long, multi-year, time scales. High-frequency, fine-scale underwater visual surveys will be used to survey elasmobranchs in the mid-northern Great Barrier Reef, investigating how seasonal time can affect the data collected, and how highly trained and involved citizen scientists can overcome this limitation. Finally, considering elasmobranchs higher activity during crepuscular and nocturnal hours, remotely operated underwater vehicles (ROVs), will be used to overcome safety limitations, and compare elasmobranchs' abundance with nocturnal and diurnal underwater surveys.

Project Importance

Elasmobranchs inhabiting the Great Barrier Reef play a fundamental role in balancing the trophic dynamics of their ecosystems by providing redundant trophic links across diverse food chains. Overfishing and climate change are the primary cause of the decline of elasmobranchs on the Great Barrier Reef, and past conservation measures have failed to target and resolve the problem. The only way to develop informed and effective conservation strategies is by collecting representative data. However, research on elasmobranchs is inherently limited by temporal constraints. To mention a few reasons, sharks migrate long distances through the years, study sites are often non-accessible in certain seasons, or nocturnal surveys are considered a safety hazard. This project aims to investigate non-invasive methods and propose better practices to ensure that accurate and representative data is collected through time for elasmobranchs on the Great Barrier Reef. This will in turn inform policies and management for better conservation of these important and iconic species.

Project Methods

Photographs of H. oceallatum at different life stages will be taken at MARFU and used to train a simple artificial intelligence (AI) to recognise individual sharks based on fingerprint-like colouration patterns, as it is the norm for recent photographic identification studies. Further, AI will be tested to inform the researcher of detected changes in the patterns of the same shark. Fundamental changes in the identification patterns may arise over time and compromise the re-sighting of the same individual elasmobranchs during long-term photographic identification projects. Underwater visual surveys will be used to investigate whether seasonality influences the abundance and species composition of elasmobranchs on the mid-northern Great Barrier Reef. To obtain systematic day-to-day data, highly trained citizen scientists were involved in the project and collected data for approximately 1500 hours, throughout the entire year and from the same reefs. Finally, the project will fine-scale the importance of time by comparing the abundance and behaviour of elasmobranchs during nocturnal and diurnal surveys. Underwater ROVs will be used to overcome the safety limitations that have prevented researchers from systematically collecting data on elasmobranchs at night time. Both ROVs and divers will be surveying during the day to provide a performance comparison and further insight into the use of ROVs for elasmobranch underwater surveys.

Project Results

Preliminary results show high accuracy in the identification of individuals of H. oceallatum. Promising results show the potential of pattern-change detection during pattern development and definition in early life stages. Anecdotal evidence provided by the team of citizen scientists suggests a strong seasonal pattern in the species composition at specific reefs on the mid-northern Great Barrier Reef. This suggests that time matters when it comes to seasonality for certain species of elasmobranchs. Finally, successful ROV trials have been conducted in preparation for field work, suggesting promising results in the use of this new technology for elasmobranch surveys.

Keywords

Benthic,
Climate change,
Communication / Education,
Controlled Environment,
Coral reefs,
Distribution,
Ecology,
Field based,
Fishing impact,
Human use,
Management tools,
Marine planning,
Monitoring,
Physiology,
Qualitative techniques,
Quantitative marine science,
Rocky reefs,
Sharks / Rays,
Temporal change,
Tourism