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LeMaRns: A Length-based Multi-species analysis by numerical simulation in R.

Michael A Spence1, Hayley J Bannister1, Johnathan E Ball1

  • 1Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, Suffolk, United Kingdom.

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Summary
This summary is machine-generated.

Fish stocks interact, but are managed separately. A new R-package, LeMaRns, simplifies multi-species fish stock modeling for transparent and accessible fisheries management.

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Area of Science:

  • Marine biology
  • Fisheries science
  • Ecological modeling

Background:

  • Fish stocks exhibit complex interactions via predation and resource competition.
  • Current fisheries management often overlooks these multi-species dynamics, focusing on single stocks.
  • Existing multi-species models are frequently perceived as overly complex and lacking transparency for management application.

Purpose of the Study:

  • To introduce LeMaRns, an R-package implementing the LeMans model for length-structured fish communities.
  • To provide a simple, transparent, and accessible tool for incorporating multi-species interactions into fisheries management.
  • To demonstrate the utility of LeMaRns in addressing key fisheries management challenges.

Main Methods:

  • Development of LeMaRns, an R-package based on the general length-structured fish community model (LeMans).
  • Characterization of fishing fleets by their gears and species catch preferences within the model.
  • Application of the model to determine multi-species reference points, model mixed-fishery interactions, and analyze community indicator responses to fleet effort changes.

Main Results:

  • LeMaRns provides a user-friendly implementation of a multi-species fish community model.
  • The package facilitates the determination of multi-species reference points and the modeling of mixed-fishery dynamics.
  • Demonstrated ability to examine community indicator responses to dynamic changes in fishing fleet effort.

Conclusions:

  • LeMaRns offers a transparent, accessible, and efficient tool for fisheries managers.
  • The package's open-source nature, comprehensive documentation, and ease of use are expected to increase its adoption.
  • Facilitates a more holistic approach to fisheries management by accounting for multi-species interactions.