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Risk Assessment in the Mid-Atlantic
Ecosystem Approach to
Fisheries Management

Climate Resilient Fishery Management Workshop
16 October 2024

Sarah Gaichas
NOAA NMFS Northeast Fisheries Science Center and Mid-Atlantic SSC

Thanks to Geret DePiper (NEFSC, MAFMC SSC) and Brandon Muffley (MAFMC)

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Mid-Atlantic Fishery Management Council

Risk Assessment used in a different context

  • Component of Ecosystem Approach to Fisheries Management

  • Tied to annual State of the Ecosystem Report

  • Used to prioritze issues for more detailed work

  • 5 year update evolution towards more dynamic indicators

Mid Atlantic fishery management plans and species

MAFMC fishery management plans and species

Source: http://www.mafmc.org/fishery-management-plans

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MAFMC Ecosystem Approach to Fisheries Management

EAFM Policy Guidance Doc Word Cloud

  • Mid-Atlantic EAFM framework:

    Mid-Atlantic EAFM framework

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The Council’s EAFM framework has similarities to the IEA loop on slide 2. It uses risk assessment as a first step to prioritize combinations of managed species, fleets, and ecosystem interactions for consideration. Second, a conceptual model is developed identifying key environmental, ecological, social, economic, and management linkages for a high-priority fishery. Third, quantitative modeling addressing Council-specified questions and based on interactions identified in the conceptual model is applied to evaluate alternative management strategies that best balance management objectives. As strategies are implemented, outcomes are monitored and the process is adjusted, and/or another priority identified in risk assessment can be addressed.

(DePiper et al., 2017) (Bastille et al., 2021) (Muffley et al., 2021) (Gaichas et al., 2018) (DePiper et al., 2021) (Gaichas et al., 2016)

State of the Ecosystem (SOE) reporting

Improving ecosystem information and synthesis for fishery managers

 
 
     
       
   
 
     
       
 

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Risk Element Example - Commercial revenue

This element is applied at the ecosystem level. Revenue serves as a proxy for commercial profits.

Risk Level Definition
Low No trend and low variability in revenue
Low-Moderate Increasing or high variability in revenue
Moderate-High Significant long term revenue decrease
High Significant recent decrease in revenue

Ranked moderate-high risk due to the significant long term revenue decrease

Risk element: CommRev

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EAFM Risk Assessment: 2024 Update with new elements

Species level risk elements

Species Assess Fstatus Bstatus PreyA PredP FW2Prey Climate DistShift EstHabitat OffHab
Ocean Quahog lowest lowest lowest tbd tbd lowest highest modhigh lowest tbd
Surfclam lowest lowest lowest tbd tbd lowest modhigh modhigh lowest tbd
Summer flounder lowest highest lowmod tbd tbd lowest lowmod modhigh highest tbd
Scup lowest lowest lowest tbd tbd lowest lowmod modhigh highest tbd
Black sea bass lowest lowest lowest tbd tbd lowest modhigh modhigh highest tbd
Atl. mackerel lowest lowest highest tbd tbd lowest lowmod modhigh lowest tbd
Chub mackerel highest lowmod lowmod tbd tbd lowest na na lowest tbd
Butterfish lowest lowest lowmod tbd tbd lowest lowest highest lowest tbd
Longfin squid lowmod lowmod lowmod tbd tbd lowmod lowest modhigh lowest tbd
Shortfin squid highest lowmod lowmod tbd tbd lowmod lowest highest lowest tbd
Golden tilefish lowest lowest lowmod tbd tbd lowest modhigh lowest lowest tbd
Blueline tilefish highest highest modhigh tbd tbd lowest modhigh lowest lowest tbd
Bluefish lowest lowest lowmod tbd tbd lowest lowest modhigh highest tbd
Spiny dogfish lowest highest lowest tbd tbd lowest lowest highest lowest tbd
Monkfish highest lowmod lowmod tbd tbd lowest lowest modhigh lowest tbd
Unmanaged forage na na na tbd tbd lowmod na na na tbd
Deepsea corals na na na tbd tbd lowest na na na tbd
  • Mackerel and dogfish Fstatus risk reduced to low, Summer flounder risk increased to high. Spiny dogfish Bstatus risk decreased to low
  • Indicators in development for new Prey Availability, Predation Pressure, and Offshore Habitat elements

Ecosystem level risk elements

System EcoProd CommVal RecVal FishRes1 FishRes2 ComDiv RecDiv Social ComFood RecFood
Mid-Atlantic lowmod modhigh lowmod lowest modhigh lowest tbd lowmod modhigh modhigh
  • Recreational value risk increased from low to low-moderate
  • Recreational diversity added, risk criteria in development

Species and Sector level risk elements

Species FControl Interact OSW1 OSW2 OtherUse RegComplex Discards Allocation
Ocean Quahog-C lowest lowest tbd tbd tbd lowest modhigh lowest
Surfclam-C lowest lowest tbd tbd tbd lowest modhigh lowest
Summer flounder-R lowmod lowest tbd tbd tbd highest modhigh highest
Summer flounder-C lowmod lowmod tbd tbd tbd lowmod modhigh lowest
Scup-R highest lowest tbd tbd tbd highest modhigh highest
Scup-C lowest lowmod tbd tbd tbd lowmod modhigh lowest
Black sea bass-R highest lowest tbd tbd tbd highest modhigh highest
Black sea bass-C lowmod lowmod tbd tbd tbd lowmod highest lowest
Atl. mackerel-R lowmod lowest tbd tbd tbd lowmod lowmod lowest
Atl. mackerel-C lowest lowmod tbd tbd tbd highest lowmod lowest
Butterfish-C lowest lowmod tbd tbd tbd modhigh modhigh lowest
Longfin squid-C lowest modhigh tbd tbd tbd modhigh modhigh lowest
Shortfin squid-C lowmod lowmod tbd tbd tbd modhigh lowest lowest
Golden tilefish-R na lowest tbd tbd tbd lowest lowest lowest
Golden tilefish-C lowest lowest tbd tbd tbd lowest lowest lowest
Blueline tilefish-R lowest lowest tbd tbd tbd lowmod lowest lowest
Blueline tilefish-C lowmod lowest tbd tbd tbd lowest lowest lowest
Bluefish-R lowmod lowest tbd tbd tbd modhigh lowmod highest
Bluefish-C lowest lowest tbd tbd tbd lowmod lowmod lowest
Spiny dogfish-R lowest lowest tbd tbd tbd lowest lowmod lowest
Spiny dogfish-C lowest modhigh tbd tbd tbd highest lowmod lowest
Chub mackerel-C lowest lowmod tbd tbd tbd lowest lowest lowest
Unmanaged forage lowest lowest tbd tbd tbd lowest lowest lowest
Deepsea corals na na tbd tbd tbd na na na
  • Management fully updated for existing elements
  • Offshore wind (OSW) risks split into 2 new elements in development, non-OSW uses added
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How is MAFMC using the risk assessment?

  • Risk based prioritization: the Council selected summer flounder for conceptual modeling

  • Council completed management strategy evaluation (MSE) addressing recreational fishery discards based on conceptual modeling

  • Stakeholder driven MSE coupled population and recreational demand models

  • Results: potential improvement in angler welfare with low risk to stock status
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In this interactive circular graph visualization, model elements identified as important by the Council (through risk assessment) and by the working group (through a range of experience and expertise) are at the perimeter of the circle. Elements are defined in detail in the last section of this page. Relationships between elements are represented as links across the center of the circle to other elements on the perimeter. Links from a model element that affect another element start wide at the base and are color coded to match the category of the element they affect.Hover over a perimeter section (an element) to see all relationships for that element, including links from other elements. Hover over a link to see what it connects. Links by default show text for the two elements and the direction of the relationship (1 for relationship, 0 for no relationship--most links are one direction).For example, hovering over the element "Total Landings" in the full model shows that the working group identified the elements affected by landings as Seafood Production, Recreational Value, and Commercial Profits (three links leading out from landings), and the elements affecting landings as Fluke SSB, Fluke Distributional Shift, Risk Buffering, Management Control, Total Discards, and Shoreside Support (6 links leading into Total Landings).

Updating the risk assessment: add recreational and cross-sectoral risks, static → dynamic indicators

Example: Evaluate risks posed by prey availability to achieving OY for Council managed species

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Council and Advisory Panel members recommended new elements addressing human dimensions (recreational access equity), new elements addressing cross-sectoral impacts (offshore wind impacts on biology and ecosystem as well as fishery access and scientific sampling), and transitions from static ecosystem indicators to time series indicators (prey availability, predation pressure, and fishing community vulnerability). New ecosystem science was required to support these requests. The process included development of new indicators of prey availability based on spatio-temporal modeling using ecological datasets (stomach contents, zooplankton), and new spatial analyses of habitat, revenue, and surveys relative to wind energy development areas. Development of potential risk criteria is ongoing; thresholds between low, moderate, and high risk that are essential to operational use are developed collaboratively with Council and Advisory Panel members.

The slide shows a higher risk example (black sea bass, low recent condition correlated with recently declining prey) and a lower risk example (bluefish, despite a long term decline in forage fish prey. recent condition has been good)

(Gaichas et al., 2023)

Updating the risk assessment: static → dynamic indicators

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Updating the risk assessment: static → dynamic indicators

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Evolution of ecosystem reporting: from physical time series to specific management risks

2016-2023 Reports: Climate Section

2024 Report: Climate/Ecosystem Risks

Risks to Spatial Management/Allocation

  • Indicators and potential drivers of distribution shifts

Risks to Seasonal Management/Timed Closures

  • Indicators and potential drivers of changing timing (phenology)

Risks to Quota Management/Rebuilding

  • Indicators and potential drivers of changing productivity

2024 Report: Days at stressful scallop temperature

scallop stress bottom temp

Image courtesy Joseph Caracappa, NEFSC

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THANK YOU! Ecosystem reporting made possible by (at least) 80 contributors from 20+ institutions

Kimberly Bastille
Aaron Beaver (Anchor QEA)
Andy Beet
Brandon Beltz
Ruth Boettcher (Virginia Department of Game and Inland Fisheries)
Mandy Bromilow (NOAA Chesapeake Bay Office)
Baoshan Chen (Stony Brook University)
Zhuomin Chen (U Connecticut)
Joseph Caracappa
Doug Christel (GARFO)
Patricia Clay
Lisa Colburn
Jennifer Cudney (NMFS Atlantic HMS Management Division)
Tobey Curtis (NMFS Atlantic HMS Management Division)
Art Degaetano (Cornell U)
Geret DePiper
Dan Dorfman (NOAA-NOS-NCCOS)
Hubert du Pontavice
Emily Farr (NMFS Office of Habitat Conservation)
Michael Fogarty
Paula Fratantoni
Kevin Friedland
Marjy Friedrichs (Virginia Institute of Marine Science)
Sarah Gaichas
Ben Galuardi (GARFO)
Avijit Gangopadhyay (School for Marine Science and Technology UMass Dartmouth)
James Gartland (Virginia Institute of Marine Science)
Lori Garzio (Rutgers University)
Glen Gawarkiewicz (Woods Hole Oceanographic Institution)
Sean Hardison
Dvora Hart
Kimberly Hyde
John Kocik
Steve Kress (National Audubon Society’s Seabird Restoration Program)
Young-Oh Kwon (Woods Hole Oceanographic Institution)
Scott Large
Gabe Larouche (Cornell U)
Daniel Linden
Andrew Lipsky
Sean Lucey
Don Lyons (National Audubon Society’s Seabird Restoration Program)
Chris Melrose
Shannon Meseck
Ryan Morse
Ray Mroch (SEFSC)
Brandon Muffley (MAFMC)
Kimberly Murray
David Moe Nelson (NCCOS)
Janet Nye (University of North Carolina at Chapel Hill)
Chris Orphanides
Richard Pace
Debi Palka
Tom Parham (Maryland DNR)
Charles Perretti
CJ Pellerin (NOAA Chesapeake Bay Office)
Kristin Precoda
Grace Roskar (NMFS Office of Habitat Conservation)
Jeffrey Runge (U Maine)
Grace Saba (Rutgers)
Vincent Saba
Sarah Salois
Chris Schillaci (GARFO)
Amy Schueller (SEFSC)
Teresa Schwemmer (Stony Brook University)
Dave Secor (CBL)
Angela Silva
Adrienne Silver (UMass/SMAST)
Emily Slesinger (Rutgers University)
Laurel Smith
Talya tenBrink (GARFO)
Bruce Vogt (NOAA Chesapeake Bay Office)
Ron Vogel (UMD Cooperative Institute for Satellite Earth System Studies and NOAA/NESDIS Center for Satellite Applications and Research)
John Walden
Harvey Walsh
Changhua Weng
Dave Wilcox (VIMS)
Timothy White (Environmental Studies Program BOEM)
Sarah Wilkin (NMFS Office of Protected Resources)
Mark Wuenschel
Qian Zhang (U Maryland)
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References

Bastille, K. et al. (2021). "Improving the IEA Approach Using Principles of Open Data Science". In: Coastal Management 49.1. Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/08920753.2021.1846155, pp. 72-89. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846155. URL: https://doi.org/10.1080/08920753.2021.1846155 (visited on Apr. 16, 2021).

DePiper, G. S. et al. (2017). "Operationalizing integrated ecosystem assessments within a multidisciplinary team: lessons learned from a worked example". En. In: ICES Journal of Marine Science 74.8, pp. 2076-2086. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsx038. URL: https://academic.oup.com/icesjms/article/74/8/2076/3094701 (visited on Mar. 09, 2018).

DePiper, G. et al. (2021). "Learning by doing: collaborative conceptual modelling as a path forward in ecosystem-based management". In: ICES Journal of Marine Science 78.4, pp. 1217-1228. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsab054. URL: https://doi.org/10.1093/icesjms/fsab054 (visited on Aug. 08, 2022).

Gaichas, S. K. et al. (2018). "Implementing Ecosystem Approaches to Fishery Management: Risk Assessment in the US Mid-Atlantic". In: Frontiers in Marine Science 5. ISSN: 2296-7745. DOI: 10.3389/fmars.2018.00442. URL: https://www.frontiersin.org/articles/10.3389/fmars.2018.00442/abstract (visited on Nov. 20, 2018).

Gaichas, S. K. et al. (2023). "Assessing small pelagic fish trends in space and time using piscivore stomach contents". En. In: Canadian Journal of Fisheries and Aquatic Sciences, pp. cjfas-2023-0093. ISSN: 0706-652X, 1205-7533. DOI: 10.1139/cjfas-2023-0093. URL: https://cdnsciencepub.com/doi/10.1139/cjfas-2023-0093 (visited on Feb. 15, 2024).

Gaichas, S. K. et al. (2016). "A Framework for Incorporating Species, Fleet, Habitat, and Climate Interactions into Fishery Management". In: Frontiers in Marine Science 3. ISSN: 2296-7745. DOI: 10.3389/fmars.2016.00105. URL: https://www.frontiersin.org/articles/10.3389/fmars.2016.00105/full (visited on Apr. 29, 2020).

Muffley, B. et al. (2021). "There Is no I in EAFM Adapting Integrated Ecosystem Assessment for Mid-Atlantic Fisheries Management". In: Coastal Management 49.1. Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/08920753.2021.1846156, pp. 90-106. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846156. URL: https://doi.org/10.1080/08920753.2021.1846156 (visited on Apr. 16, 2021).

Resources

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Mid-Atlantic Fishery Management Council

Risk Assessment used in a different context

  • Component of Ecosystem Approach to Fisheries Management

  • Tied to annual State of the Ecosystem Report

  • Used to prioritze issues for more detailed work

  • 5 year update evolution towards more dynamic indicators

Mid Atlantic fishery management plans and species

MAFMC fishery management plans and species

Source: http://www.mafmc.org/fishery-management-plans

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