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Multispecies Operating Models

ICES WKMSEDEV
28 September 2023

Sarah Gaichas, Presenter


Contributors: Andy Beet, Joe Caracappa, Gavin Fay (UMass Dartmouth), Sarah Gaichas, Robert Gamble,
Madeleine Guyant (UMass Dartmouth), Jerelle Jesse (GMRI/UMaine), Lisa Kerr (GMRI/UMaine),
Emily Liljestrand (UMass/NEFSC), Sean Lucey, Maria Cristina Perez (UMass Dartmouth)

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Multispecies and Ecosystem Operating Models

Overview

Combining existing tools to evaluate EBFM procedures: Link multispecies model to MSE framework with built in single species assessment tools for New England prototype EBFM MSE (pMSE)

Fundamental objectives:

  • Maintain or increase inflation adjusted total value for the fishery
  • Preserve ecosystem function and structure
  • Maintain stock complex biomass around levels that optimize fishing opportunities
  • Prevent overfishing
  • Response of regulations to stocks at low abundance, and recovery of depleted stocks
  • Reduce regulatory complexity

Example explanatory materials, including Rshiny for exploring results

p.s. Food web model Rpath MSE capabilities

p.p.s. Atlantis potential

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EBFM pMSE

Gavin Fay, Lisa Kerr, Madeleine Guyant, Jerelle Jesse, Emily Liljestrand

Hydra: multispecies operating model conditioned on Georges Bank data within MSE framework as prototype test of EBFM strategies.

Results: additional flexibility and increased yield possible with EBFM "ceilings and floors" without increased risk to single stocks.

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Operating model building blocks

Multispecies catch at length Hydra (Gaichas et al., 2017)

Hydra-Associated GitHub repositories

Groundfish MSE framework (Mazur et al., 2023)

Groundfish MSE repository, branches, and tools

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Setup

Management Alternatives

  • Single-species management, with stock-specific assessments and catch advice.
  • Single-species management, with stock-specific assessments and catch advice and dynamic reference points.
  • Stock complex management, with stock-complex level assessments and abundance index thresholds.
  • Stock complex management, with stock-complex level assessments and abundance index thresholds, with gear-based stock complexes.
  • Stock complex management, with stock-complex level assessments and dynamic reference points.

Operating Model Scenarios

  • Base
  • Fleet dynamics (Adjust q for economic value)
  • Initial biomass (Below base)
  • Predator pressure (Increase M1 <30cm)
  • Prey change (Increase other food)
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Single species management alternatives

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Multispecies management alternatives

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Example Results

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Outreach materials

Summary pages

  • pMSE Overview
  • Management Objectives and Performance Metrics
  • Management Alternatives
  • Results Engagement
  • Operating Models
  • Assessment Models
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More Potential Ecosystem Operating Models

Atlantis ↓ and Rpath →

NEUSmap

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Food web responses to management?

Rpath (Lucey et al., 2020) with MSE capability (Lucey et al., 2021)

Rpath MSE course code

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Herring MSE food web model results: ecosystem tradeoffs

Tradeoffs between forage groups and mixed impacts to predators apparent when multiple species and full predator prey interaction feedbacks can be included

  • Rpath Ecosense functions evaluate parameter uncertainty within a scenario

  • Now we have MSE closed loop possibilities in Rpath (Lucey et al., 2021)

  • Can implement HCRs with predator prey interactions

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Herring MSE food web model results: ecosystem uncertainty?

Compare 10% change (green, same as previous slide gray boxes) with more extreme "herring" biomass:

  • 50% increase from base herring biomass (red)
  • 50% decrease from base herring biomass (blue)

More system uncertainty with increased herring biomass?

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Atlantis NEUSv2: major update

Joe Carracappa, Andy Beet, Robert Gamble

  • Forcing with GLORYS12V1 and primary production in the newly calibrated model (Caracappa et al., 2022)
  • Running in the cloud via NOAA HPC

In progress

  • Sensitivity to fishing scenarios
  • Testing ecosystem overfishing indicators for the Northeast US
  • Integrating spatial fleets and ports of origin
  • Climate projections using MOM-6 planned

https://github.com/NOAA-EDAB/neus-atlantis

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References

Caracappa, J. C. et al. (2022). "A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing". En. In: Ecological Modelling 471, p. 110038. ISSN: 0304-3800. DOI: 10.1016/j.ecolmodel.2022.110038. URL: https://www.sciencedirect.com/science/article/pii/S030438002200148X (visited on Aug. 08, 2022).

Gaichas, S. K. et al. (2017). "Combining stock, multispecies, and ecosystem level fishery objectives within an operational management procedure: simulations to start the conversation". In: ICES Journal of Marine Science 74.2, pp. 552-565. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsw119. URL: https://academic.oup.com/icesjms/article/74/2/552/2669545/Combining-stock-multispecies-and-ecosystem-level (visited on Oct. 18, 2017).

Lucey, S. M. et al. (2021). "Evaluating fishery management strategies using an ecosystem model as an operating model". En. In: Fisheries Research 234, p. 105780. ISSN: 0165-7836. DOI: 10.1016/j.fishres.2020.105780. URL: http://www.sciencedirect.com/science/article/pii/S0165783620302976 (visited on Dec. 09, 2020).

Lucey, S. M. et al. (2020). "Conducting reproducible ecosystem modeling using the open source mass balance model Rpath". En. In: Ecological Modelling 427, p. 109057. ISSN: 0304-3800. DOI: 10.1016/j.ecolmodel.2020.109057. URL: https://www.sciencedirect.com/science/article/pii/S0304380020301290 (visited on Apr. 16, 2021).

Mazur, M. D. et al. (2023). "Consequences of ignoring climate impacts on New England groundfish stock assessment and management". In: Fisheries Research 262, p. 106652. ISSN: 0165-7836. DOI: https://doi.org/10.1016/j.fishres.2023.106652. URL: https://www.sciencedirect.com/science/article/pii/S0165783623000450.

Additional Resources

EBFM pMSE June 2023 New England Council

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Multispecies and Ecosystem Operating Models

Overview

Combining existing tools to evaluate EBFM procedures: Link multispecies model to MSE framework with built in single species assessment tools for New England prototype EBFM MSE (pMSE)

Fundamental objectives:

  • Maintain or increase inflation adjusted total value for the fishery
  • Preserve ecosystem function and structure
  • Maintain stock complex biomass around levels that optimize fishing opportunities
  • Prevent overfishing
  • Response of regulations to stocks at low abundance, and recovery of depleted stocks
  • Reduce regulatory complexity

Example explanatory materials, including Rshiny for exploring results

p.s. Food web model Rpath MSE capabilities

p.p.s. Atlantis potential

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