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Review article - Peer-reviewed, 2022

Advancing fishery-independent stock assessments for the Norway lobster (Nephrops norvegicus) with new monitoring technologies

Aguzzi, Jacopo; Chatzievangelou, Damianos; Robinson, Nathan J.; Bahamon, Nixon; Berry, Alan; Carreras, Marc; Company, Joan Batista; Costa, Corrado; Fernandez, Joaquin del Rio; Falahzadeh, Ahmad; Fifas, Spyros; Floegel, Sascha; Grinyo, Jordi; Jonasson, Jonas Pall; Jonsson, Patrik; Lordan, Colm; Lundy, Mathieu; Marini, Simone; Martinelli, Michela; Masmitja, Ivan;
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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.


Nephrops norvegicus; UWTV; stocks monitoring; autonomous networks; biomimicking platforms; optoacoustic imaging; geo-sonars; eDNA

Published in

Frontiers in marine science
2022, volume: 9, article number: 969071

Authors' information

Aguzzi, Jacopo
CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA)
Aguzzi, Jacopo
Stazione Zoologica Anton Dohrn di Napoli
Chatzievangelou, Damianos
CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA)
Robinson, Nathan J.
CSIC - Instituto de Ciencias del Mar (ICM)
Bahamon, Nixon
CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA)
Berry, Alan
Marine Institute Ireland
Carreras, Marc
Universitat de Girona
Company, Joan Batista
CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA)
Costa, Corrado
Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia Agraria (CREA)
Fernandez, Joaquin del Rio
Universitat Politecnica de Catalunya
Falahzadeh, Ahmad
Universitat Politecnica de Catalunya
Fifas, Spyros
Floegel, Sascha
GEOMAR Helmholtz Center for Ocean Research Kiel
Grinyo, Jordi
Utrecht University
Grinyo, Jordi
CSIC - Centro Mediterraneo de Investigaciones Marinas y Ambientales (CMIMA)
Jonasson, Jonas Pall
Marine and Freshwater Research Institute (MFRI)
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Lordan, Colm
Marine Institute Ireland
Lundy, Mathieu
Agri-Food and Biosciences Institute (AFBI)
Marini, Simone
Istituto di Scienze Marine (ISMAR-CNR)
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UKÄ Subject classification

Fish and Aquacultural Science

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