Advancing fishery-independent stock assessments for the Norway lobster (Nephrops norvegicus) with new monitoring technologies
| Type | Article | ||||||||||||
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| Date | 2022-09 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Aguzzi Jacopo1, 2, Chatzievangelou Damianos1, Robinson Nathan J.1, Bahamon Nixon1, Berry Alan3, Carreras Marc4, Company Joan Batista1, Costa Corrado5, Del Rio Fernandez Joaquin6, Falahzadeh Ahmad6, Fifas Spyros7, Flögel Sascha8, Grinyó Jordi1, 9, Jónasson Jonas Pall10, Jonsson Patrik11, Lordan Colm3, Lundy Mathieu12, Marini Simone13, Martinelli Michela14, Masmitja Ivan1, Mirimin Luca15, 16, Naseer Atif17, 18, Navarro Joan1, Palomeras Narcis4, Picardi Giacomo19, Silva Cristina20, Stefanni Sergio2, Vigo Maria1, Vila Yolanda21, Weetman Adrian22, Doyle Jennifer3 | ||||||||||||
| Affiliation(s) | 1 : Functioning and Vulnerability of Marine Ecosystems Group, Department of Renewable Marine Resources, Institute of Marine Sciences (ICM-CSIC), Spanish National Research Council, Barcelona, Spain 2 : Anton Dohrn Zoological Station, Naples, Italy 3 : Marine Institute, Fisheries and Ecosystem Advisory Services, Oranmore, Ireland 4 : Computer Vision and Robotics Institute, University of Girona, Girona, Spain 5 : Research Center for Engineering and Agro-Food Processing, Council for Agricultural Research and Economics, Rome, Italy 6 : Remote Acquisition and Data Processing Systems in Marine Environment (SARTI-MAR) Research Group, Electronic Engineering Department, Polytechnic University of Catalunya (UPC), Vilanova i la Geltrú, Spain 7 : Fisheries Biology Laboratory, Fisheries Sciences and Technologies Research Unit, Department of Biological Resources and Environment, French Research Institute for Exploitation of the Sea (IFREMER), Plouzané, France 8 : GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany 9 : Department of Ocean System Sciences, NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, Den Burg, Netherlands 10 : Demersal Division, Marine and Freshwater Research Institute, Hafnarfjörður, Iceland 11 : Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences, Lysekil, Sweden 12 : Agri-Food and Biosciences Institute (AFBI), Belfast, Northern Ireland, United Kingdom 13 : Institute of Marine Sciences (CNR-ISMAR), National Research Council, La Spezia, Italy 14 : Institute of Marine Biological Resources and Biotechnologies (CNR-IRBIM), National Research Council, Ancona, Italy 15 : Department of Natural Resources and the Environment, Marine and Freshwater Research Centre, School of Science and Computing, Galway-Mayo Institute of Technology, Galway, Ireland 16 : Alantic Technological University, Galway, Ireland 17 : Science and Technology Unit, Umm al Qura Univeristy, Makkah, Saudi Arabia 18 : Institute of Ocean Engineering (IIO), University of Málaga, Málaga, Spain 19 : Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Studies (SSSA), The BioRobotics Institute, Pisa, Italy 20 : Division of Modelling and Management of Fisheries Resources (DivRP), Portuguese Institute for Sea and Atmosphere (IPMA), Lisbon, Portugal 21 : Cádiz Oceanographic Center, Spanish Institute of Oceanography (IEO), Cádiz, Spain 22 : Marine Scotland Science, Aberdeen, Scotland, United Kingdom |
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| Source | Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2022-09 , Vol. 9 , P. 969071 (18p.) | ||||||||||||
| DOI | 10.3389/fmars.2022.969071 | ||||||||||||
| WOS© Times Cited | 5 | ||||||||||||
| Keyword(s) | Nephrops norvegicus, UWTV, stocks monitoring, autonomous networks, biomimicking platforms, optoacoustic imaging, geo-sonars, eDNA | ||||||||||||
| Abstract | The Norway lobster, Nephrops norvegicus, supports a key European fishery. Stock assessments for this species are mostly based on trawling and UnderWater TeleVision (UWTV) surveys. However, N. norvegicus are burrowing organisms and these survey methods are unable to sample or observe individuals in their burrows. To account for this, UWTV surveys generally assume that “1 burrow system = 1 animal”, due to the territorial behavior of N. norvegicus. Nevertheless, this assumption still requires in-situ validation. Here, we outline how to improve the accuracy of current stock assessments for N. norvegicus with novel ecological monitoring technologies, including: robotic fixed and mobile camera-platforms, telemetry, environmental DNA (eDNA), and Artificial Intelligence (AI). First, we outline the present status and threat for overexploitation in N. norvegicus stocks. Then, we discuss how the burrowing behavior of N. norvegicus biases current stock assessment methods. We propose that state-of-the-art stationary and mobile robotic platforms endowed with innovative sensors and complemented with AI tools could be used to count both animals and burrows systems in-situ, as well as to provide key insights into burrowing behavior. Next, we illustrate how multiparametric monitoring can be incorporated into assessments of physiology and burrowing behavior. Finally, we develop a flowchart for the appropriate treatment of multiparametric biological and environmental data required to improve current stock assessment methods. |
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