Indices of abundance in the Gulf of Mexico reef fish complex: A comparative approach using spatial data from vessel monitoring systems

Ducharme-Barth, Nicholas D.; Shertzer, Kyle W.; Ahrens, Robert

doi:10.1016/j.fishres.2017.10.020

Cited by 16 publications

(9 citation statements)

References 60 publications

(31 reference statements)

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“…The sensors on the vessel generate plenty of data, but it is impossible to transmit all the data to the shore in time. So, most previous studies regarding VMS are limited to post data analytics, for examples, to improve fishing efficiency [4], to identify and characterize trips [5], to calculate indices of fishery abundance [6], to detect fishing behavior [7], and to differentiate the type of fishing gear used [8]. Another research topic is the assimilation of various data sources (e.g.…”

Section: Related Workmentioning

confidence: 99%

Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery

Huang

Wan

et al. 2020

IEEE Access

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Vessel Monitoring Systems (VMS) are extensively used in the world to provide information on the vessel's spatiotemporal distribution, monitor the fishing activities of marine fishery and manage the safety of vessel navigation. In the traditional VMS, there are some deficiencies in the interaction and real-time communication between the land system and marine vessel. We present an edge computing-based adaptable trajectory transmission policy (EC-ATT) for VMS to improve the communication efficiency in this paper. Firstly, a novel VMS framework named EC-VMS is proposed which composed of four layers. Each vessel has an edge computing intelligent node to collect data, process and transmit data. Meanwhile, the edge computing server is set up to enhance collaborative computing between the cloud and the edge, that transmits data through the Beidou navigation satellite system. Secondly, the EC-ATT utilizes the computing power of edge nodes to establish an adaptive data transmission mechanism, which reduces redundant data and satellite communication frequency. Besides, the packet loss feedback mechanism and error checking strategy are used to ensure the reliability of data transmission. The experimental results show that EC-ATT has better performance in typical cases, which not only reduces the average communication time but also strengthens the real-time availability of the VMS. INDEX TERMS Vessels monitoring systems, edge computing, marine communication, vessel trajectory.

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Section: Related Workmentioning

confidence: 99%

Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery

Huang

Wan

et al. 2020

IEEE Access

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“…More recently, work that focuses on the use of vessel movement data for stock assessment has become more commonplace. For instance, Duchame‐Barth and Ahrens have worked on the subject, such as on uncertainty in automatic classification of fishing vessel movement for the purpose of determining caught species [DBA17], and using automatic data analysis of VMS data for evaluating fish abundance in the Gulf of Mexico [DBSA18]. Chang and Yuan [CYT14] discuss the combination of observations and VMS data for estimation of fishing efforts.…”

Section: Related Workmentioning

confidence: 99%

VA‐TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations

Storm-Furru

Brückner

2020

Computer Graphics Forum

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In order to ensure sustainability, fishing operations are governed by many rules and regulations that restrict the use of certain techniques and equipment, specify the species and size offish that can be harvested, and regulate commercial activities based on licensing schemes. As the world's second largest exporter offish and seafood products, Norway invests a significant amount of effort into maintaining natural ecosystem dynamics by ensuring compliance with its constantly evolving science‐based regulatory body. This paper introduces VA‐TRAC, a geovisual analytics application developed in collaboration with the Norwegian Directorate of Fisheries in order to address this complex task. Our approach uses automatic methods to identify possible catch operations based on fishing vessel trajectories, embedded in an interactive web‐based visual interface used to explore the results, compare them with licensing information, and incorporate the analysts’ domain knowledge into the decision making process. We present a data and task analysis based on a close collaboration with domain experts, and the design and implementation of VA‐TRAC to address the identified requirements.

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“…Other past data, from different sources, were used in order to give more breadth and understanding to historical and productivity trends. However, only annual total volume data were available (Table 1) widely used for evaluations of fish stocks and for estimating trends and abundance of fisheries (Nicholas, et al, 2018). The productivity data between 1984 and 2001 were considered at upstream sites, since the cited literature reported only the increase the production after dam closure in 1984 (Juras, et al, 2004).…”

Section: Materials and Metods 21mentioning

confidence: 99%

The Fishing Productivity Assessement Upstream and Downstream of Tucuruí Hydroeletric Dam, Tocantins-Araguaia basin, Brazil

Prysthon¹,

Cunha²,

Carolyne³

et al. 2019

IJAERS

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The Tocantins-Araguaia basin is the second largest in Brazil and the most extensive in the drainage area totally placed in Brazilian territory. A time series of fishery production of more than 30 years of Tucuruí Hydroeletric dam, between 1981 and 2016, in low Tocantins, in ten landing harbor (five upstream and five downstream) was analyzed to compare productivity and indicate suggestions for better planning and public policies focused on the fishery resources in this basin. After analyzing over 16,000 landing data, CPUE (kg / day) indicated that after an exponential growth upstream in the first 15 years of the dam, there was a decline trend in fish stocks up to 2016, mainly upstream. The biodiversity of the ichthyofauna was higher downstream and Mapará H. marginatus was the main species captured. It is concluded that the maintenance and accessibility by society of a program to monitoring landings in the region, as well as studies of population dynamics in order to better plan the fishing effort, is fundamental. It should also be emphasized that environmental education should focus on the involvement of fishing communities, alerting public managers about the importance of knowledge about productivity and that the decline trend of upstream stocks should be considered in the formulation or incentive of policies aimed at development of artisanal fisheries on Tocantins-Araguaia basin.

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Indices of abundance in the Gulf of Mexico reef fish complex: A comparative approach using spatial data from vessel monitoring systems

Cited by 16 publications

References 60 publications

Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery

Edge Computing-Based Adaptable Trajectory Transmission Policy for Vessels Monitoring Systems of Marine Fishery

VA‐TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations

The Fishing Productivity Assessement Upstream and Downstream of Tucuruí Hydroeletric Dam, Tocantins-Araguaia basin, Brazil

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