Investigating the behaviour of deep-sea fish in the vicinity of an oil and gas installation

The challenges of understanding deep-sea ecosystems are considerable, often hampered by the logistical difficulties of conducting research in such extreme environments. Traditional capture-tag-release methods, while valuable, are often impractical or even impossible in the deep waters surrounding offshore installations. This recent study, investigating fish behavior near the Snorre A oil and gas installation in the Norwegian sector of the North Sea, demonstrates a compelling alternative: baited acoustic telemetry. This innovative approach, detailed in the article, avoids invasive tagging procedures by deploying transmitters that are voluntarily ingested by fish, providing a less disruptive and more ethically sound method for data collection. This builds upon the broader work we do in developing integrated data ecosystems Ocean Data Platform Introduction and Updates, highlighting the increasing sophistication of our tools for observing and understanding ocean dynamics. Understanding the impact of human activities on these sensitive habitats is crucial, and this research adds significantly to our growing ocean intelligence.

The ingenuity of the methodology lies in its simplicity and adaptability. By utilizing baited transmitters equipped with depth and activity sensors, researchers were able to gather longitudinal data on fish behavior without directly handling the animals. The results, comprising approximately 180,000 detections over a five-week period, revealed nuanced differences in behavior among tagged individuals, suggesting multiple species were involved – ling, tusk, and saithe being the most likely. The finding that four of six tagged fish exhibited prolonged presence near the platform provides valuable evidence of resident populations, rather than transient visitors. This distinction is critical for assessing potential long-term impacts of offshore installations on fish populations and marine ecosystems. The ability to track fish movements within a 500-meter safety zone with approximately 80% coverage, despite limitations in detection range, underscores the potential of this technology for localized impact assessments. It’s also relevant to consider how ocean currents and connectivity impact waste accumulation, as explored in our analysis of Most common items of waste in the ocean by region - Our World in Data – the presence of installations undoubtedly influences local dispersal patterns.

The broader significance of this research extends beyond the specific context of the Snorre A installation. It establishes a proof of concept for a viable and welfare-friendly approach to studying deep-sea fish behavior in offshore environments, a methodology that could be readily adapted to other regions and installations. The reduction in behavioral bias associated with invasive tagging methods is a particularly noteworthy benefit, as it allows for a more accurate assessment of natural behaviors. Moreover, the technology’s reliability under harsh offshore conditions—validated by the sheer volume of data generated—demonstrates its practical applicability for long-term monitoring programs. This aligns with the increasingly sophisticated methods being employed to understand complex oceanographic phenomena, such as energy transfer within ocean rings, as demonstrated by our work on Property and energy transfer by an Agulhas Ring, where hydrographic observations are combined with various datasets to characterise ocean processes.

Ultimately, this study underscores the importance of innovation in oceanographic research, particularly when addressing the challenges of observing and understanding deep-sea ecosystems. The successful implementation of baited acoustic telemetry provides a powerful new tool for assessing the impact of human activities on marine life. As offshore petroleum activities continue to expand globally, the ability to accurately and non-invasively monitor fish behavior and spatial distribution becomes increasingly vital for informed environmental management. A key question now is: how can we scale this technology – and others like it – to monitor larger areas and diverse deep-sea habitats, and what integrated data models will be required to synthesize the resulting ocean intelligence for effective stewardship?