2023
DOI: 10.3389/fmars.2023.1176814
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Towards a global Fishing Vessel Ocean Observing Network (FVON): state of the art and future directions

Cooper Van Vranken,
Julie Jakoboski,
John W. Carroll
et al.

Abstract: Ocean observations are the foundation of our understanding of ocean processes. Improving these observations has critical implications for our ability to sustainably derive food from the ocean, predict extreme weather events that take a toll on human life, and produce the goods and services that are needed to meet the needs of a vast and growing population. While there have been great leaps forward in sustained operational monitoring of our oceans there are still key data gaps which result in sub-optimal ocean … Show more

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Cited by 3 publications
(3 citation statements)
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References 62 publications
(78 reference statements)
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“…Specifically, the sensitivity of MHW onset to the ocean's subsurface structure was revealed in , highlighting the importance of correct subsurface representation for MHW predictability. Fishing vessels as providers of subsurface observations provide a new frontier of in situ data, particularly in coastal and shelf seas (Van Vranken et al, 2023), and we must develop the skills to effectively make use of the data to improve model estimates and predictions. Our future work aims to address the properties of the background error covariance matrix to optimize the influence of spatially and temporally inhomogeneous observations, with a focus on improving subsurface representation.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, the sensitivity of MHW onset to the ocean's subsurface structure was revealed in , highlighting the importance of correct subsurface representation for MHW predictability. Fishing vessels as providers of subsurface observations provide a new frontier of in situ data, particularly in coastal and shelf seas (Van Vranken et al, 2023), and we must develop the skills to effectively make use of the data to improve model estimates and predictions. Our future work aims to address the properties of the background error covariance matrix to optimize the influence of spatially and temporally inhomogeneous observations, with a focus on improving subsurface representation.…”
Section: Discussionmentioning
confidence: 99%
“…Environmental variables influence the distribution of tuna habitats. Within the realm of modern fisheries practices, the utilization of marine environmental information by ship captains to identify propitious fishing locations has emerged as a critical strategy for augmenting fishing efficiency and sustainability [ 44 , 45 ]. The results suggest that the SST and Pp200 are also critical environmental variables influencing the spatial distribution of tuna purse seine fishing vessel operation in the WCPO, followed by the concentration of dissolved oxygen on the sea surface and at 100 and 200 m.…”
Section: Discussionmentioning
confidence: 99%
“…• Look outside your borders. The success of the Mangopare system was an important motivator for the formation of the Fishing Vessel Ocean Observing Network (Van Vranken et al, 2023) that collaborates with scientists across the globe. • Genuine respect is essential.…”
Section: Co-design Is Essentialmentioning
confidence: 99%