The Role of Stakeholders in Creating Societal Value From Coastal and Ocean Observations

Mackenzie, Bev; Celliers, Louis; Assad, Luiz Paulo de Freitas; Heymans, Johanna J.; Rome, Nicholas; Thomas, Julie; Anderson, Clarissa R.; Behrens, James; Calverley, Mark; Desai, Kruti; DiGiacomo, Paul M.; Djavidnia, Samy; Santos, Francisco dos; Eparkhina, Dina; Ferrari, José A.; Hanly, Caitriona; Houtman, Bob; Jeans, Gus; Landau, Luiz; Larkin, Kate; Legler, David M.; Traon, Pierre‐Yves Le; Lindstrom, Eric; Loosley, David; Nolan, Glenn; Petihakis, George; Pellegrini, Júlio Augusto de Castro; Roberts, Zoë; Siddorn, John; Smail, Emily A.; Sousa-Pinto, Isabel; Terrill, Eric

doi:10.3389/fmars.2019.00137

Cited by 23 publications

(17 citation statements)

References 76 publications

(87 reference statements)

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“…Stakeholder involvement in collaborative research achieves a range of benefits beyond that of simply providing in situ marine data. These collaborations accomplish public outreach and education while helping to democratize the scientific process (Gawarkiewicz and Malek Mercer, 2019;Mackenzie et al, 2019). Fishers are often aware of phenomena and changes in the ocean before the scientific community (Gawarkiewicz et al, 2012;Stephenson et al, 2016) and can contribute to the process of developing new observing strategies and/or marine data products.…”

Section: Discussionmentioning

confidence: 99%

Fishing Gear as a Data Collection Platform: Opportunities to Fill Spatial and Temporal Gaps in Operational Sub-Surface Observation Networks

Vranken¹,

Vastenhoud²,

Manning

et al. 2020

Front. Mar. Sci.

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While the observation of the open ocean is well achieved by automated ocean measurement instruments, coastal and shelf seas suffer the lack of sub-surface collection platforms. Commercial fishing gear such as bottom trawls, pots, traps and long lines can act as platforms for sensors, which collect physical oceanographic data concurrently with normal fishing operations. The lack of observed in situ ocean data in coastal and shelf seas limits operational oceanography, weather forecasting, maritime industries, and climate change monitoring. In addition, using fishing gear as an ocean observation platform has auxiliary benefits for fisheries management including stakeholder involvement. This study quantifies and compares the existing sub-surface in situ data coverage with the spatial distribution of fishing activities. The results show that integration with fishing could contribute to filling some of the most pressing gaps in existing ocean observation systems in coastal and shelf seas. There are limitations related to opportunistic data collection, mainly related to spatial and temporal heterogeneity of fishing activities. However, we make the case that fisherybased observations have the potential to complement existing ocean observing systems in areas where oceanographic data are lacking and needed most in order to ensure long term sustainability of ocean monitoring.

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Section: Discussionmentioning

confidence: 99%

Fishing Gear as a Data Collection Platform: Opportunities to Fill Spatial and Temporal Gaps in Operational Sub-Surface Observation Networks

Vranken¹,

Vastenhoud²,

Manning

et al. 2020

Front. Mar. Sci.

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“…This study has been conducted under the umbrella of the GEOHAB Backscatter Working Group (BSWG), which has been organized to provide a platform for academic, commercial, and government entities to collaborate to address challenges in backscatter processing. Although the calls for such collaborations have been numerous [39][40][41], collaborations focused on a specific data type (MBES backscatter) are rare. The lessons learned from the collaboration, which made the current study possible include:…”

Section: Collaboration Between Backscatter Stakeholdersmentioning

confidence: 99%

Results from the First Phase of the Seafloor Backscatter Processing Software Inter-Comparison Project

et al. 2019

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Seafloor backscatter mosaics are now routinely produced from multibeam echosounder data and used in a wide range of marine applications. However, large differences (>5 dB) can often be observed between the mosaics produced by different software packages processing the same dataset. Without transparency of the processing pipeline and the lack of consistency between software packages raises concerns about the validity of the final results. To recognize the source(s) of inconsistency between software, it is necessary to understand at which stage(s) of the data processing chain the differences become substantial. To this end, willing commercial and academic software developers were invited to generate intermediate processed backscatter results from a common dataset, for cross-comparison. The first phase of the study requested intermediate processed results consisting of two stages of the processing sequence: the one-value-per-beam level obtained after reading the raw data and the level obtained after radiometric corrections but before compensation of the angular dependence. Both of these intermediate results showed large differences between software solutions. This study explores the possible reasons for these differences and highlights the need for collaborative efforts between software developers and their users to improve the consistency and transparency of the backscatter data processing sequence.

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“…A national web presence will provide core branding, an asset map and metadata catalog, and a data stewardship node will facilitate the development of data standards with partners. The core branding, a common look and feel across CIOOS, will be important to ensure partner organizations are recognized as an integral part of the community, and with the support of clear and consistent messaging, can demonstrate the benefits of CIOOS to new and future stakeholders (Mackenzie et al, 2019). The importance of branding and consistent messaging was one of the lessons learned from consultations with U.S. IOOS.…”

Section: Strategy and Approach To The Development Of Cioosmentioning

confidence: 99%

The Development of a Canadian Integrated Ocean Observing System (CIOOS)

et al. 2019

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Ocean observation is fundamental to Canada's ocean science community. The federal government, academia, small businesses, not-for-profit organizations, and other research partners, collect and synthesize physical, chemical and biological observations for research purposes, to model ocean changes, to support resource management decision-making, and to establish baseline data for long-term monitoring. Aside from building comprehensive ocean observatories (Fisheries and Oceans Canada, 2010), there is no easy mechanism to integrate the large amounts of data from the various sources or to explore interrelationships among variables, and no coordination and collaboration mechanism for the ocean community as a whole to generate an efficient system Ocean Science and Technology Partnership (OSTP), for Fisheries and Oceans Canada (2011). Consequently, we observe fragmented and isolated data that is only discoverable by a limited range of end users. Canada's ocean science community (Wallace et al., 2014), led and supported by Fisheries and Oceans Canada (DFO), is developing a Canadian Integrated Ocean Observation System (CIOOS) that brings together and leverages existing Canadian and international ocean observation data into a federated data system. This system (Wilson et al., 2016) will improve coordination and collaboration among diverse data producers, improve access to information for decision making, and enable discovery and access to data to support a wide variety of applied and theoretical research efforts to better understand, monitor, and manage activities in Canada's oceans. Canada is implementing a CIOOS test-phase, which will eventually lead to the development of a robust and integrated observing system, improving connections between end users and providers of ocean observations. The improved coordination of regional and national efforts within CIOOS will contribute to global ocean observing, maximizing the overall benefit of integrated observing.

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The Role of Stakeholders in Creating Societal Value From Coastal and Ocean Observations

Cited by 23 publications

References 76 publications

Fishing Gear as a Data Collection Platform: Opportunities to Fill Spatial and Temporal Gaps in Operational Sub-Surface Observation Networks

Fishing Gear as a Data Collection Platform: Opportunities to Fill Spatial and Temporal Gaps in Operational Sub-Surface Observation Networks

Results from the First Phase of the Seafloor Backscatter Processing Software Inter-Comparison Project

The Development of a Canadian Integrated Ocean Observing System (CIOOS)

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