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EAFM approach

  • Climate in risk assessment--uses NCVA, distribution shifts separate element
  • Climate in conceptual model--links across risk elements for individual species
  • Climate in MSE? Indirect, but not off the table (unlike “traditional” MSE) Ecosystem reporting
  • Climate a central theme in 2021 in response to Council request
  • More effort to connect climate attributes with species outcomes to refine risk assessment
  • Habitat climate vulnerability introduced with links to species
  • All will be used to further refine the risk assessment
  • Currently working on how to use in SSC decisions like OFL CV → ABC

Climate news you can use:
risk assessment and ecosystem reporting
in the US Mid-Atlantic

AFS 2021
Connecting the dots, management approaches for climate-ready fisheries

Sarah Gaichas, Brandon Muffley, and Geret DePiper
Northeast Fisheries Science Center and Mid-Atlantic Fishery Management Council

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Talk outline:

2 / 19

EAFM approach

  • Climate in risk assessment--uses NCVA, distribution shifts separate element
  • Climate in conceptual model--links across risk elements for individual species
  • Climate in MSE? Indirect, but not off the table (unlike “traditional” MSE) Ecosystem reporting
  • Climate a central theme in 2021 in response to Council request
  • More effort to connect climate attributes with species outcomes to refine risk assessment
  • Habitat climate vulnerability introduced with links to species
  • All will be used to further refine the risk assessment
  • Currently working on how to use in SSC decisions like OFL CV → ABC

The Mid-Atlantic Fishery Management Council (MAFMC)

US East Coast map highlighting Mid-Atlantic council jurisdiction

MAFMC fishery management plans and species

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How did MAFMC develop their ecosystem approach?

Visioning Project → Strategic Plan that developed the 2016 Ecosystem Approach to Fishery Management (EAFM) Policy Guidance document: http://www.mafmc.org/s/EAFM-Doc-Revised-2019-02-08.pdf

"A non-regulatory umbrella document intended to guide Council policy with respect to ecosystem considerations across existing Fishery Management Plans"

Mid-Atlantic EAFM development with full details in speaker notes

Details, including workshop presentations and white papers: http://www.mafmc.org/eafm

4 / 19

The Mid-Atlantic Council identified several theme areas from the visioning project as noted in the left panel of the workflow graphic: forage fish, species interactions, social and economic issues, climate and habitat. The Council held full day workshops during Council meetings where experts on the topics provided overviews and Council members asked questions and discussed the issues. Workships on Forage fish, Climate, Climate and Governance, Interactions (species and fleet), and Habitat were held between 2013 and 2015, resulting in white papers on Forage fish, Climate (and habitat), Interactions (species, fleet, climate, and habitat). Social and economic considerations were integrated in each workshop rather than looked at separately.

Integrated Ecosystem Assessment and the MAFMC Ecosystem Approach

Mid-Atlantic EAFM framework with full details in speaker notes

  • Direct link between ecosystem reporting and risk assessment
  • Climate in risk assessment from species and habitat perspective
  • Climate in conceptual model linking across risk elements for individual species
5 / 19

The Council’s EAFM framework has similarities to the IEA loop. 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.

State of the Ecosystem (SOE) reporting

Improving ecosystem information and synthesis for fishery managers

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State of the Ecosystem summary emphasizing climate risk

State of the Ecosystem page 1 summary table

State of the Ecosystem page 2 risk bullets

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State of the Ecosystem → Risk assessent 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 for Mid-Atlantic managed species (red points)

Key: Black = Revenue of all species combined;

Red = Revenue of MAFMC managed species

8 / 19

State of the Ecosystem → Risk assessent 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 for Mid-Atlantic managed species (red points)

Key: Black = Revenue of all species combined;

Red = Revenue of MAFMC managed species

Risk element: CommRev, unchanged

SOE Implications: Recent change driven by benthos. Monitor changes in climate and landings drivers:

  • Climate risk element: Surfclams and ocean quahogs are sensitive to ocean warming and acidification.
  • pH in surfclam summer habitat is approaching, but not yet at, pH affecting surfclam growth
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Risks to meeting fishery management objectives

Climate icon made by EDAB       Wind icon made by EDAB

Hydrography icon made by EDAB       Phytoplankon icon made by EDAB       Forage fish icon made by EDAB       Apex predators icon made by EDAB       Other human uses icon made by EDAB

9 / 19

Risks: Climate change, multiple elements

Indicators: ocean currents, bottom and surface temperature, marine heatwaves

 
 
     
 
 
   
 
   
   
 
   
 

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A marine heatwave is a warming event that lasts for five or more days with sea surface temperatures above the 90th percentile of the historical daily climatology (1982-2011).

Implications: Climate change and managed species   Risk elements unchanged, new info:

Climate: 6 low, 3 low-mod, 4 mod-high, 1 high risk

Multiple drivers with different impacts by species

  • Chesapeake Bay warm winter, low freshwater flow

    • Striped bass poor recruitment observed
      • plankton prey too early?
      • poor plankton transport?
    • Blue crab better survival over winter
  • Ocean acidification impact on shellfish growth

    • Surfclams vulnerable to increased temperature and acidification
    • Areas of low pH identified in surfclam and scallop habitat
    • Lab work in progress identified pH thresholds for surfclam growth: approaching threshold

DistShift: 2 low, 9 mod-high, 3 high risk species

Shifting species distributions alter both species interactions, fishery interactions, and expected management outcomes from spatial allocations and bycatch measures based on historical fish and protected species distributions.

black sea bass survey distribution change over time from 2018 SOE

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Risks: Habitat climate vulnerability   New, opportunity to refine habitat risks

Indicators: climate sensitive species life stages mapped to climate vulnerable habitats

See EAFM risk assessment for example species narratives

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EAFM Risk Assessment: 2021 Update

Species level risk elements

Species Assess Fstatus Bstatus FW1Pred FW1Prey FW2Prey Climate DistShift EstHabitat
Ocean Quahog lowest lowest lowest lowest lowest lowest highest modhigh lowest
Surfclam lowest lowest lowest lowest lowest lowest modhigh modhigh lowest
Summer flounder lowest lowest lowmod lowest lowest lowest lowmod modhigh highest
Scup lowest lowest lowest lowest lowest lowest lowmod modhigh highest
Black sea bass lowest lowest lowest lowest lowest lowest modhigh modhigh highest
Atl. mackerel lowest highest highest lowest lowest lowest lowmod modhigh lowest
Butterfish lowest lowest lowmod lowest lowest lowest lowest highest lowest
Longfin squid lowmod lowmod lowmod lowest lowest lowmod lowest modhigh lowest
Shortfin squid lowmod lowmod lowmod lowest lowest lowmod lowest highest lowest
Golden tilefish lowest lowest lowmod lowest lowest lowest modhigh lowest lowest
Blueline tilefish highest highest modhigh lowest lowest lowest modhigh lowest lowest
Bluefish lowest lowest highest lowest lowest lowest lowest modhigh highest
Spiny dogfish lowmod lowest lowmod lowest lowest lowest lowest highest lowest
Monkfish highest lowmod lowmod lowest lowest lowest lowest modhigh lowest
Unmanaged forage na na na lowest lowmod lowmod na na na
Deepsea corals na na na lowest lowest lowest na na na
  • Butterfish B status risk increased from lowest to low-mod (below Bmsy)

Ecosystem level risk elements

System EcoProd CommRev RecVal FishRes1 FishRes4 FleetDiv Social ComFood RecFood
Mid-Atlantic lowmod modhigh highest lowest modhigh lowest lowmod highest modhigh

Species and Sector level risk elements

Species MgtControl TecInteract OceanUse RegComplex Discards Allocation
Ocean Quahog-C lowest lowest lowmod lowest modhigh lowest
Surfclam-C lowest lowest lowmod lowest modhigh lowest
Summer flounder-R modhigh lowest lowmod modhigh highest highest
Summer flounder-C lowmod modhigh lowmod modhigh modhigh highest
Scup-R lowmod lowest lowmod modhigh modhigh highest
Scup-C lowest lowmod modhigh modhigh modhigh highest
Black sea bass-R highest lowest modhigh modhigh highest highest
Black sea bass-C highest lowmod highest modhigh highest highest
Atl. mackerel-R lowmod lowest lowest lowest lowest lowest
Atl. mackerel-C lowest lowmod modhigh highest lowmod highest
Butterfish-C lowest lowmod modhigh highest modhigh lowest
Longfin squid-C lowest modhigh highest highest highest lowest
Shortfin squid-C lowmod lowmod lowmod lowmod lowest lowest
Golden tilefish-R na lowest lowest lowest lowest lowest
Golden tilefish-C lowest lowest lowest lowest lowest lowest
Blueline tilefish-R lowest lowest lowest modhigh lowest highest
Blueline tilefish-C lowest lowest lowest modhigh lowest highest
Bluefish-R lowmod lowest lowest lowmod modhigh highest
Bluefish-C lowest lowest lowmod lowmod lowmod highest
Spiny dogfish-R lowest lowest lowest lowest lowest lowest
Spiny dogfish-C lowest modhigh modhigh modhigh lowmod lowest
Chub mackerel-C lowest lowmod lowmod lowmod lowest lowest
Unmanaged forage lowest lowest modhigh lowest lowest lowest
Deepsea corals na na modhigh na na na
  • Allocation risk decreased for 4 fisheries from high to low (intermediate rankings not applied)
  • Black sea bass regulatory complexity risk decreased from highest to mod-high
13 / 19

Changes: Butterfish B status risk increased from lowest to low-mod (below Bmsy) Allocation risk decreased for 4 fisheries from high to low (intermediate rankings not applied) Black sea bass regulatory complexity risk decreased from highest to moderate-high

Potential new indicators from new SOE sections on climate risk, habitat vulnerability, offshore wind

Habitat vulnerability analysis writeups--comments?

How is MAFMC using the risk assessment? What's next?

  • Based on risk assessment, the Council selected summer flounder as high-risk fishery for conceptual modeling

Mid-Atlantic EAFM framework

  • Working group of habitat, biology, stock assessment, management, economic and social scientists developed:

    • draft conceptual models of high risk elements, linkages
    • dataset identification and gap analysis for each element and link
    • draft questions that the Council could persue with additional work
  • Final conceptual model and supporting information at December 2019 Council meeting

  • Council proceeding with management strategy evaluation (MSE) using the information from conceptual modeling as a basis. Topic: addressing recreational fishery discards with EAFM
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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).

Current and Future: East Coast Climate Scenario Planning, NOAA Climate and Fisheries Initiative

16 / 19

A Climate Fisheries Initiative within NOAA aims to improve regional ocean modeling capabilities and develop interdisciplinary communities of practice--including managers--that will be essential to operational ecological forecasts. Finally, the iterative, collaborative IEA process itself provides opportunities to prioritize which ecological forecasts to develop.

Collaboration is key!

  • Within the science community – diverse expertise is needed
  • Between science and management – understanding what information is needed and important to management, providing tools to management to understand ecosystem linkages and implications
  • Between science and stakeholders – need to build trust, open dialogue (everyone is heard), and sharing data and observations (on water and with information)
  • Between management and stakeholders – listening to/acting on stakeholder priorities and feedback, process not out to add more uncertainty but provide for more informed decisions

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Contributors - THANK YOU!

The New England and Mid-Atlantic SOEs made possible by (at least) 52 contributors from 10 institutions

Andy Beet
Kimberly Bastille
Ruth Boettcher (Virginia Department of Game and Inland Fisheries)
Mandy Bromilow (NOAA Chesapeake Bay Office)
Zhuomin Chen (Woods Hole Oceanographic Institution)
Joseph Caracappa
Doug Christel (GARFO)
Patricia Clay
Lisa Colburn
Jennifer Cudney (NMFS Atlantic HMS Management Division)
Tobey Curtis (NMFS Atlantic HMS Management Division)
Geret DePiper
Emily Farr (NMFS Office of Habitat Conservation)
Michael Fogarty
Paula Fratantoni
Kevin Friedland
Sarah Gaichas
Ben Galuardi (GARFO)
Avijit Gangopadhyay (School for Marine Science and Technology, University of Massachusetts Dartmouth)
James Gartland (Virginia Institute of Marine Science)
Glen Gawarkiewicz (Woods Hole Oceanographic Institution)
Sean Hardison
Kimberly Hyde
John Kosik
Steve Kress (National Audubon Society’s Seabird Restoration Program)
Young-Oh Kwon (Woods Hole Oceanographic Institution)

Scott Large
Andrew Lipsky
Sean Lucey Don Lyons (National Audubon Society’s Seabird Restoration Program)
Chris Melrose
Shannon Meseck
Ryan Morse
Kimberly Murray
Chris Orphanides
Richard Pace
Charles Perretti
CJ Pellerin (NOAA Chesapeake Bay Office)
Grace Roskar (NMFS Office of Habitat Conservation)
Grace Saba (Rutgers)
Vincent Saba
Chris Schillaci (GARFO)
Angela Silva
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
Mark Wuenschel

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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. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsab054. URL: https://doi.org/10.1093/icesjms/fsab054 (visited on Apr. 15, 2021).

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).

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).

Additional resources

19 / 19

Talk outline:

2 / 19

EAFM approach

  • Climate in risk assessment--uses NCVA, distribution shifts separate element
  • Climate in conceptual model--links across risk elements for individual species
  • Climate in MSE? Indirect, but not off the table (unlike “traditional” MSE) Ecosystem reporting
  • Climate a central theme in 2021 in response to Council request
  • More effort to connect climate attributes with species outcomes to refine risk assessment
  • Habitat climate vulnerability introduced with links to species
  • All will be used to further refine the risk assessment
  • Currently working on how to use in SSC decisions like OFL CV → ABC
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