LeMaRns: A length-based multi-species analysis by numerical simulation in R

Spence, Michael A., Bannister, Hayley J., Ball, Johnathan E., Dolder, Paul J. ORCID: https://orcid.org/0000-0002-4179-712X, Griffiths, Christopher A. and Thorpe, Robert B. (2020) LeMaRns: A length-based multi-species analysis by numerical simulation in R. PLoS One, 15 (2). ISSN 1932-6203

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Abstract

Fish stocks interact through predation and competition for resources, yet stocks are typically managed independently on a stock-by-stock basis. The need to take account of multispecies interactions is widely acknowledged. However, examples of the application of multi-species models to support management decisions are limited as they are often seen as too complex and lacking transparency. Thus there is a need for simple and transparent methods to address stock interactions in a way that supports managers. Here we introduce LeMaRns, a new R-package of a general length-structured fish community model, LeMans, that characterises fishing using fleets that can have different gears and species catch preferences. We describe the model, package implementation, and give three examples of use: determination of multi-species reference points; modelling of mixed-fishery interactions; and examination of the response of community indicators to dynamical changes in fleet effort within a mixed-fishery. LeMaRns offers a diverse array of options for parameterisation. This, along with the speed, comprehensive documentation, and open source nature of the package makes LeMans newly accessible, transparent, and easy to use, which we hope will lead to increased uptake by the fisheries management community.

Item Type: Article
Additional Information: Data Availability: All relevant data are within the paper and its Supporting Information files. The R-package is available on CRAN (https://cran.r-project.org/web/packages/LeMaRns/index.html). Funding: MAS, HJB, JEB, PJD, CAG and RBT were all funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 773713 (PANDORA).
Faculty \ School: Faculty of Science > School of Environmental Sciences
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Depositing User: LivePure Connector
Date Deposited: 16 Aug 2022 09:30
Last Modified: 22 Oct 2022 07:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/87287
DOI: 10.1371/journal.pone.0227767

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