A multi-use and multi-stakeholder ocean observing platform system

Moran, K.; Boutin, Brigitte; Juniper, S. Kim; Pirenne, B.; Round, Adrian

doi:10.23919/oceans40490.2019.8962711

Cited by 5 publications

(5 citation statements)

References 56 publications

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“…To achieve this goal, baseline surveys and continuous monitoring of natural ecosystems are urgently needed, as proposed by the ‘Southern Ocean Observing System’ (SOOS, 2017) and by the ‘Scientific Committee on Antarctic Research’ (SCAR, 2021) and discussed in the ‘ANtarctic Terrestrial and Near‐shore Observing System’ report (ANTOS, 2015). Similar monitoring actions are also urged by the most important networks of marine observing systems, such as, for example, the ‘Joint European Research Infrastructure network for Coastal Observatory’ (JERICO), the ‘European Multidisciplinary Seafloor and water column Observatory’ (EMSO) and ‘Ocean Network Canada’ (ONC; Dañobeitia et al, 2020; Moran et al, 2019; Painting et al, 2020).…”

Section: Introductionmentioning

confidence: 89%

Long‐term automated visual monitoring of Antarctic benthic fauna

et al. 2022

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The rapid changes in the climate of Antarctica are likely to pose challenges to living communities, which makes monitoring of Antarctic fauna an urgent necessity. Benthos is particularly difficult to monitor, and is sensitive to local environmental changes. At the same time, long‐term monitoring is complicated by logistical factors. It is therefore urgent to develop advanced instruments to set up autonomous and long‐term monitoring programmes to obtain the lacking biological knowledge needed to understand this complex and remote marine environment. We present a pilot study to set up a non‐invasive and sustainable autonomous monitoring activity in Antarctica, leveraging on a specifically designed automated camera recording, computer vision and machine learning image processing techniques. We also present and analyse the high‐resolution image dataset acquired for an extended period of time encompassing both the summer and the Antarctic night and the corresponding transition periods. The results of this study demonstrate both the effectiveness of such an autonomous imaging devices for acquiring relevant long‐term visual data and the effectiveness of the proposed image analysis algorithms for extracting relevant scientific knowledge from such data. The presented results show how the extracted knowledge discloses dynamics of the observed ecosystems that can be obtained only through continuous observations extended in time, not achievable with the state‐of‐the‐art monitoring approaches commonly implemented in Antarctica. The success of this pilot study is a step towards the collection of continuous data near shore in Antarctic areas and in general in all the remote and extreme underwater habitats. Moreover, the presented stand‐alone and autonomous imaging device can be used for increasing the number of the monitoring sites in remote environments and when complemented with the acquisition of physical and bio‐chemical variables it can be used for obtaining data collections of great scientific value difficult to acquire otherwise.

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Section: Introductionmentioning

confidence: 89%

Long‐term automated visual monitoring of Antarctic benthic fauna

et al. 2022

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“…In Atlantic Canada, only five case studies were found in the literature, making this region the one with the fewest collaborations compared with the Arctic and Pacific Canada. Further, in the report of Moran et al (2022), there is only one community monitoring platform directly collaborating with Indigenous groups on the East Coast, located in Placentia Bay, Newfoundland. Yet, Eger et al (2021) show increasing opportunities for integrated marine management with Indigenous groups in the Bay of Fundy area.…”

Section: Canadian Atlanticmentioning

confidence: 99%

“…With an elevated emphasis from research and government institutions on meaningfully engaging with First Nations, new collaborations could improve traditional knowledge exchange to enhance marine carbon cycle understanding. The community-specific approach would follow successes in mapping (Davies et al 2020;Bishop et al 2022), coastal management (Weiss et al 2013;Lombard et al 2019), marine conservation (Ban et al 2009), observational oceanography (Moran et al 2022), and fisheries (Weatherdon et al 2016;Turgeon et al 2018;Reid et al 2021). As ocean CDR and Indigenous involvement in the sector are both just emerging, any new collaborative initiative should follow recommendations made by Breckwoldt et al (2021), including (1) the need for participation beyond data collection, (2) acknowledgment and mitigation of an agenda mismatch between funded and needed research, and (3) emphasizing the power of the transdisciplinary processes of learning together.…”

Section: Arctic Oceanmentioning

confidence: 99%

Canada's marine carbon sink: an early career perspective on the state of research and existing knowledge gaps

Duke,

Richaud,

Arruda

et al. 2023

FACETS

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Improving our understanding of how the ocean absorbs carbon dioxide is critical to climate change mitigation efforts. We, a group of early career ocean professionals working in Canada, summarize current research and identify steps forward to improve our understanding of the marine carbon sink in Canadian national and offshore waters. We have compiled an extensive collection of reported surface ocean air–sea carbon dioxide exchange values within each of Canada's three adjacent ocean basins. We review the current understanding of air–sea carbon fluxes and identify major challenges limiting our understanding in the Pacific, the Arctic, and the Atlantic Ocean. We focus on ways of reducing uncertainty to inform Canada's carbon stocktake, establish baselines for marine carbon dioxide removal projects, and support efforts to mitigate and adapt to ocean acidification. Future directions recommended by this group include investing in maturing and building capacity in the use of marine carbon sensors, improving ocean biogeochemical models fit-for-purpose in regional and ocean carbon dioxide removal applications, creating transparent and robust monitoring, verification, and reporting protocols for marine carbon dioxide removal, tailoring community-specific approaches to co-generate knowledge with First Nations, and advancing training opportunities for early career ocean professionals in marine carbon science and technology.

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“…DONET was specifically designed as a seismic geohazard early-warning system (Kasaya et al, 2009), whereas EMSO, ONC, and OOI were designed for multidisciplinary monitoring and research in the fields of geology, physical oceanography, and ecology (e.g. Barnes and The NEPTUNE Canada Team, 2007;Service, 2007;Taylor, 2009;Ruhl et al, 2011;Aguzzi et al, 2012;Witze, 2013;Moran et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…For example, the cost to operate ONC's observatories since the deployment of its first seafloor monitoring assets in 2003 has been in excess of 114 M CA$ (https://www.oceannetworks.ca/about-us/ funders-partners/funders). Such seemingly high operational costs are justified by the multi-use and multi-stakeholder nature of ocean observatories, providing curated data and services to scientists, government agencies, policy-makers, and society as a whole (Moran et al, 2019). In this context, ocean cabled observatories should also align their strategic planning with the Sustainable Development Goals set by the United Nations (European Multidisciplinary Seafloor and water column Observatory, 2020), which call for the monitoring of essential ecosystem services, which include healthy fish stocks and sustainable fisheries.…”

Section: Introductionmentioning

confidence: 99%

The potential of video imagery from worldwide cabled observatory networks to provide information supporting fish-stock and biodiversity assessment

Aguzzi

Chatzievangelou

Company

et al. 2020

ICES Journal of Marine Science

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Seafloor multiparametric fibre-optic-cabled video observatories are emerging tools for standardized monitoring programmes, dedicated to the production of real-time fishery-independent stock assessment data. Here, we propose that a network of cabled cameras can be set up and optimized to ensure representative long-term monitoring of target commercial species and their surrounding habitats. We highlight the importance of adding the spatial dimension to fixed-point-cabled monitoring networks, and the need for close integration with Artificial Intelligence pipelines, that are necessary for fast and reliable biological data processing. We then describe two pilot studies, exemplary of using video imagery and environmental monitoring to derive robust data as a foundation for future ecosystem-based fish-stock and biodiversity management. The first example is from the NE Pacific Ocean where the deep-water sablefish (Anoplopoma fimbria) has been monitored since 2010 by the NEPTUNE cabled observatory operated by Ocean Networks Canada. The second example is from the NE Atlantic Ocean where the Norway lobster (Nephrops norvegicus) is being monitored using the SmartBay observatory developed for the European Multidisciplinary Seafloor and water column Observatories. Drawing from these two examples, we provide insights into the technological challenges and future steps required to develop full-scale fishery-independent stock assessments.

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A multi-use and multi-stakeholder ocean observing platform system

Cited by 5 publications

References 56 publications

Long‐term automated visual monitoring of Antarctic benthic fauna

Long‐term automated visual monitoring of Antarctic benthic fauna

Canada's marine carbon sink: an early career perspective on the state of research and existing knowledge gaps

The potential of video imagery from worldwide cabled observatory networks to provide information supporting fish-stock and biodiversity assessment

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