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A spatially explicit individual-based model to support management of commercial and recreational fisheries for European sea bass Dicentrarchus labrax

Walker, Nicola D. and Boyd, Robin and Watson, Joseph and Kotz, Max and Radford, Zachary and Readdy, Lisa and Sibly, Richard and Roy, Shovonlal and Hyder, Kieran (2020) A spatially explicit individual-based model to support management of commercial and recreational fisheries for European sea bass Dicentrarchus labrax. Ecological Modelling, 431 . Art. No. 109179. ISSN 0304-3800. https://resolver.caltech.edu/CaltechAUTHORS:20200623-153718143

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Abstract

The European sea bass (Dicentrarchus labrax) is a slow growing and late maturing high value fish that is exploited by both commercial and recreational fisheries. In recent years, scientific assessments have shown a rapid decline in spawning stock biomass around the UK attributed to poor recruitment (driven by environmental factors) and high fishing mortality. This resulted in significant reductions in the harvest of sea bass following technical measures implemented by the European Commission to conserve stocks. Individual-based models (IBMs) are simulations of individual ‘agents’ of organisms that interact with each other and their environment locally and have been shown to be effective management tools in many systems. Here, an IBM that simulates the population dynamics and spatial distribution of sea bass was developed to assess how technical management measures applied to subsets of the population impact the overall stock. Conventional stock assessment techniques were used to model the processes affecting population dynamics, while the spatial distribution was simulated using a combination of temperature preferences and information from tagging studies. The IBM was parameterised using existing knowledge from the literature and can mimic key assessment outputs used to inform management and advice on fishing opportunities. Utility of the IBM is demonstrated by simulating the population consequences of several key management scenarios based on those implemented by the European Commission, including short-term bans on pelagic trawling in spawning areas, commercial and recreational catch limits and increasing the minimum conservation reference size. The IBM has potential to complement the annual stock assessment in managing European sea bass because it models individual movement, environmental drivers and emergent spatial distribution, thereby providing enhanced predictions of management strategy outcomes that could inform spatial advice on fishing opportunities and policy.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.ecolmodel.2020.109179DOIArticle
ORCID:
AuthorORCID
Walker, Nicola D.0000-0002-9778-0220
Boyd, Robin0000-0002-7973-9865
Sibly, Richard0000-0001-6828-3543
Roy, Shovonlal0000-0003-2543-924X
Hyder, Kieran0000-0003-1428-5679
Additional Information:Crown Copyright © 2020 Published by Elsevier B.V. Received 3 December 2019, Revised 10 June 2020, Accepted 11 June 2020, Available online 23 June 2020.
Funders:
Funding AgencyGrant Number
Department for Environment, Food and Rural Affairs (United Kingdom)UNSPECIFIED
Subject Keywords:European sea bass; Individual-based model; Management; Spatially explicit
Record Number:CaltechAUTHORS:20200623-153718143
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200623-153718143
Official Citation:Nicola D. Walker, Robin Boyd, Joseph Watson, Max Kotz, Zachary Radford, Lisa Readdy, Richard Sibly, Shovonlal Roy, Kieran Hyder, A spatially explicit individual-based model to support management of commercial and recreational fisheries for European sea bass Dicentrarchus labrax, Ecological Modelling, Volume 431, 2020, 109179, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2020.109179. (http://www.sciencedirect.com/science/article/pii/S0304380020302507)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103974
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 Jun 2020 22:49
Last Modified:23 Jun 2020 22:49

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