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an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making

Developing and using ecosystem
information in fishery management:

Examples from the Northeast US
09 February 2021

Sarah Gaichas
Northeast Fisheries Science Center
Brandon Muffley
Mid-Atlantic Fishery Management Council

Many thanks to:
Kimberly Bastille, Geret DePiper, Kimberly Hyde, Scott Large, Sean Lucey,
and all SOE contributors

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An integrated ecosystem assessment (IEA) success story (in progress)

  • ICES WGNARS international science (DePiper, et al., 2017)

    • Indicator development
    • Worked examples of IEA components
  • Ecosystem reporting linked to management objectives

    • Open science emphasis (Bastille, et al., 2020)
    • Report evolving since 2016
    • Fishery-relevant subset of full Ecosystem Status Reports
  • Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)

    • Risk assessment (Gaichas, et al., 2018)
    • Conceptual modeling (DePiper et al., in review)
    • Management strategy evaluation (MSE)
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an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making

International scientific collaboration: ICES WGNARS

ICES WGNARS webpage

Deep dive into components of the IEA process from a scientific perspective

  • Outlining potential management objectives to start conversations with managers
  • Example ecosystem indicators, conceptual models, and risk assessments
  • Productive exchange between different national frameworks for EBFM/Ocean management and scientific databases

WGNARS paper title and authors

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Collaborative process and worked examples (DePiper, et al., 2017)

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State of the Ecosystem (SOE) Reporting: Context for busy people

"So what?" --John Boreman, September 2016

  1. Clear linkage of ecosystem indicators with management objectives

  2. Synthesis across indicators for big picture

  3. Objectives related to human-well being placed first in report

  4. Short (< 30 pages), non-technical (but rigorous) text

  5. Emphasis on reproducibility

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In 2016, we began taking steps to address these common critiques of the ESR model Many indicators presented at WGNARS, used in larger Ecosystem Status reports Shorter, fishery specific State of the Ecosystem (SOE) report with conceptual models prototyped based on California Current reporting Feedback from fishery managers redesigned reporting to align with objectives outlined by WGNARS

State of the Ecosystem Report Structure

2020 Report

  1. Summary 2 pager
  2. Human dimensions
  3. Protected species
  4. Fish and invertebrates (managed and otherwise)
  5. Habitat quality and ecosystem productivity

2021 Report

  1. Summary 2 pager
    • Page 1 summary table
    • Page 2 synthesis themes
  2. Performance against management objectives
  3. Risks

Established ecosystem-scale objectives

Objective Categories Indicators reported here
Provisioning/Cultural
Seafood Production Landings by feeding guild
Profits Revenue decomposed to price and volume
Recreation Days fished; recreational catch
Social & Cultural Commercial engagement trends
Supporting/Regulating
Stability Diversity indices (fishery and species)
Biomass Biomass or abundance by feeding guild from surveys
Productivity Condition and recruitment of managed species, Primary productivity
Trophic structure Relative biomass of feeding guilds, Zooplankton
Habitat Estuarine and offshore habitat conditions
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2020 Report: Summary 2 pager with visualizations, 28 pages of narrative/plots, 1 page orientation

State of the Ecosystem page 1 summary bullets

State of the Ecosystem page 2 infographic

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Ecosystem synthesis themes for 2021

Characterizing ecosystem change for fishery management: plain language summary for 2 pager

  • Multiple drivers of abundance, defined by the competing factors that influence the amount of fish in the ocean;
  • Regime shifts, or ecosystem change can happen rapidly as multiple drivers change; and,
  • Reorganization of the ecosystem, multiple factors that interact that change the structure and organization of the ecosystem, e.g. Tropicalization

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2021 outline: two sections, each with "what" and "why"

  • Performance against management objectives
    • What does the indicator say--up, down, stable?
    • Why do we think it is changing: integrates synthesis themes
      • Multiple drivers
      • Regime shifts
      • Ecosystem reorganization
  • Objectives
    • Seafood production
    • Profits
    • Recreational opportunities
    • Stability
    • Social and cultural
    • Protected species
  • Risks
    • What does the indicator say--up, down, stable?
    • Why this is important to managers: integrates synthesis themes
      • Multiple drivers
      • Regime shifts
      • Ecosystem reorganization
  • Risk categories
    • Climate: warming, ocean currents, acidification
      • Habitat changes (incl. vulnerability analysis)
      • Productivity changes (system and fish)
      • Species interaction changes
      • Community structure changes
    • Other ocean uses
      • Wind
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Example: Seafood production objective

Indicator: Total landings Trend: Decreasing
Mid-Atlantic
New England

Why: multiple drivers: stock status/management, engagement, markets, fish population drivers

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Multiple drivers of fish production analysis in progress: environment - fish condition - market price linkages

Bottom water temperature anomaly MAB Zooplankton community and primary production anomaly Relative condition factor 1992-2019 for fish species in the MAB. MAB data are missing for 2017 due to survey delays Price for king silver hake 1994-2019

  • Identify multiple and changing drivers of condition and market prices over time
  • Recognize regime shifts and potential system reorganization

  • Work in progress has identified the following potential drivers

    • Temperature
    • Zooplankton
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Example: Social and cultural objectives

Indicator: Recreational engagement, reliance, vulnerability

Mid-Atlantic communities

Indicator: Commercial Vulnerability engagement, reliance, vulnerability

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Example: Protected species objectives

Indicators: Species By-catch

Indicators: Endangered Species Populations

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Example: Climate risks: multiple potential impacts on management

Indicators: Gulf Stream index, bottom and surface temperature, heat waves
Trends:

Why this matters: Habitat change from multiple drivers alters:

  • species distributions--allocation
  • system productivity--fishery resource productivity
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Example: Other ocean uses (Wind): area covered, fisheries impacted

Survey wind area

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Continuing dialogue with managers shapes report and indicators presented each year: 2021 Requests

Request Year Source Progress Memo Section
Ecosystem Overfishing indicators (Link and Watson, 2019) 2020 Both Councils SOE total catch/area, total catch/PP, and total catch/Chl -- challenge is for total catch 1
Primary production required, interpretation of decline? 2020 Both Councils SOE indicator reworked to include some Link and Watson metrics 2
Climate Change context 2020 NEFMC SOE reorganized; Risks section added emphasizing climate change 3
Clarify language (e.g., primary production required) 2020 Both Councils RCB help requested 4
Copy Editing 2020 Both Councils RCB help requested 5
Ocean Acidification 2020 NEFMC SOE indicator added with in-situ data linked to preliminary lab work on thresholds 6
Include examples of High/Low engaged ports 2020 NEFMC SOE indicator reworked to show ports 7
Expand wind lease area and habitat overlap 2020 MAFMC SOE indicator expanded to rank species with habitat in wind lease areas by landings in wind lease areas 8
Expand cold pool index 2020 MAFMC SOE indicator expanded with modeled data to include area and other attributes 9
Shark diversity indicator 2020 MAFMC SOE multiple shark indicators added 10
Uncertainty estimates 2020 MAFMC SOE included for subset of indicators 11
Bycatch index 2020 NEFMC SOE added seal bycatch indicator, retained harbor porpoise indicator 12
Marine Mammal consumption 2019 MAFMC SOE added discussion of seal diets, memo no new consumption ests since Smith et al but could be in the future once work is complete 13
Estuarine Water Quality 2020 NEFMC SOE Chesapeake indicators updated and expanded 14
Linking Condition 2020 MAFMC in progress not ready for 2021 15
Avg weight of diet components by feeding group 2019 Internal in progress part of fish condition ? stomach fullness analysis started--species level 16
Mean stomach weight across feeding guilds 2019 MAFMC in progress stomach fullness analysis started--species level 17
Shellfish growth/distribution linked to climate (system productivity) 2019 MAFMC in progress project with R Mann student to start 2021? 18
Cumulative weather index 2020 MAFMC in progress data gathered for prototype 19
Management complexity 2019 MAFMC in progress by summer student, needs further analysis, no further work in 2020 20
VAST and uncertainty 2020 Both Councils ??? in progress not ready for 2021 21
Seal index 2020 MAFMC ??? in progress not ready for 2021 22
Seperate Bigelow/Albatross catch diversity metric 2020 MAFMC ??? not done 23
Incorporate social sciences survey from council 2020 NEFMC ??? check ??? not started 24
Young of Year index from multiple surveys 2019 MAFMC not started 25
Biomass of spp not included in BTS 2020 MAFMC not started 26
Estuarine condition relative to power plants and temp 2019 MAFMC not started 27
Inflection points for indicators 2019 Both Councils not started 28
Reduce indicator dimensionality with multivariate statistics 2020 NEFMC not started 29
Breakpoints 2020 NEFMC not started 30
Re-evaluate EPUs 2020 NEFMC not started 31
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Fishery management in the US

Eight regional Fishery Management Councils establish plans for sustainable management of stocks within their jurisdictions. All are governed by the same law, but tailor management to their regional stakeholder needs.

US map highlighting regions for each fishery management council

More information: http://www.fisherycouncils.org/ https://www.fisheries.noaa.gov/topic/laws-policies#magnuson-stevens-act

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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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Why an ecosystem approach?

"We rebuilt all the stocks, so why is everyone still pissed off?" --Rich Seagraves

in 2011, the Council asked:

visioning project goals and objectives

visioning project responses and port meetings

And many people answered, from commercial fishery, recreational fishery, environmental organization, and interested public perspectives.

Visioning report:

http://www.mafmc.org/s/MAFMC-stakeholder-input-report-p7b9.pdf

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Common themes among all stakeholder groups:

• There is a lack of confidence in the data that drive fishery management decisions.

• Stakeholders are not as involved in the Council process as they can and should be.

• Different jurisdictions and regulations among the many fishery management organizations result in complexity and inconsistency.

• There is a need for increased transparency and communications in fisheries management.

• The dynamics of the ecosystem and food web should be considered to a greater extent in fisheries management decisions.

• Stakeholders are not adequately represented on the Council.

• Pollution is negatively affecting the health of fish stocks.

Visioning report, p. 3:

http://www.mafmc.org/s/MAFMC-stakeholder-input-report-p7b9.pdf

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How did MAFMC develop their ecosystem approach?

Visioning Project → Strategic Plan with one objective to develop

"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

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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.

Mid-Atlantic Council Ecosystem Approach

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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.

Examples illustrating the use of the framework

Example risk assessment table with species in rows and risk elements in columns with green cells indicating low risks, yellow and orange cells indicating moderate risks, and red cells indicatig high risk

Risk assessment highlights prority species/issues for more detailed evaluation

A conceptual model maps out key interactions for high risk fisheries, specifies quantitative management strategy evaluation

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Quoted from Gaichas et al 2016 For this example, the existing Mid Atlantic food web model is used to define key species interactions for each managed species, habitat expertise is needed to link habitats to species, physical oceanographic and climate expertise is needed to link key climate drivers to habitats, and the expertise of fishermen, economists and other social scientists, and fishery managers is needed to link fish with fisheries and objectives for human well-being. The key link between fisheries and human well being objectives is identified as the system of regulatory allocations of total allowable catch between states along the Mid Atlantic coast. The interaction between this allocation system (based on historical catch) and climate-driven distribution shifts of the managed species has created considerable difficulty in this region. This conceptual model clearly connects climate considerations to management, as well as habitat considerations of concern to the Council but outside Council jurisdiction (water quality in coastal estuaries).

Iterative development of the risk assessment

Example risk assessment table with species in rows and risk elements in columns with green cells indicating low risks, yellow and orange cells indicating moderate risks, and red cells indicatig high risk

  • Council staff and scientists create examples based on Council input

    ↑ ↓ ↑ ↓ ↑ ↓ ↑ ↓ ↑ ↓ ↑ ↓ ...

  • Council discusses, clarifies, revises with public input

Element Definition Indicators
Economic
Commercial Revenue Risk of not maximizing fishery value Revenue in aggregate
Recreational Angler Days/Trips Risk of not maximizing fishery value Numbers of anglers and trips in aggregate
Commercial Fishery Resilience (Revenue Diversity) Risk of reduced fishery business resilience Species diversity of revenue
Commercial Fishery Resilience (Shoreside Support) Risk of reduced fishery business resilience due to shoreside support infrastructure Number of shoreside support businesses
Social
Fleet Resilience Risk of reduced fishery resilience Number of fleets, fleet diversity
Social-Cultural Risk of reduced community resilience Community vulnerability, fishery engagement and reliance
Food Production
Commercial Risk of not optimizing seafood production Seafood landings in aggregate
Recreational Risk of not maintaining personal food production Recreational landings in aggregate
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Risk elements: Management

Element Definition Indicators
Management
Control Risk of not achieving OY due to inadequate control Catch compared to allocation
Interactions Risk of not achieving OY due to interactions with species managed by other entities Number and type of interactions with protected or non-MAFMC managed species, co-management
Other ocean uses Risk of not achieving OY due to other human uses Fishery overlap with energy/mining areas
Regulatory complexity Risk of not achieving compliance due to complexity Number of regulations by species
Discards Risk of not minimizing bycatch to extent practicable Standardized Bycatch Reporting
Allocation Risk of not achieving OY due to spatial mismatch of stocks and management Distribution shifts + number of interests
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Risk assessent indicators and ranking criteria: 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 in top plot)

Total revenue for the region (black) and revenue from MAFMC managed species (red).

Total revenue for the region (black) and revenue from MAFMC managed species (red).

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EAFM Risk Assessment: 2020 update

Management elements updated from original 2017 risk assessment; added risk rankings for chub mackerel and unmanaged forage fish.

Decreased Risk (5)

  • Regulatory complexity risk for summer flounder decreased from high to med-high due to increased consistency in recent years
  • Technical interaction risk for commercial scup decreased from med-high to low-med because no accountability measures have been triggered
  • Allocation risks for recreational Atlantic mackerel, commercial longfin squid, and commercial spiny dogfish dropped from high to low due to changes in management approaches

Increased Risk (15)

  • Bluefish status went from not overfished to overfished
  • Increased discards (5), reduced management control (4), allocation (3), other ocean uses (1), regulatory complexity (1)
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EAFM Risk Assessment: 2020

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 lowest 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

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 highest highest highest
Black sea bass-C highest lowmod highest modhigh highest highest
Atl. mackerel-R lowmod lowest lowest lowest lowest lowmod
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 lowmod
Shortfin squid-C lowmod lowmod lowmod lowmod lowest highest
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 modhigh
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
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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 to proceed 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).

Council-selected management question:

Evaluate the biological and economic benefits of minimizing summer flounder discards and converting discards into landings in the recreational sector. Identify management strategies to effectively realize these benefits.

  • Opportunity to align EAFM work with traditional Council process
  • Management challenges to address and reduce regulatory discards
    • 90% of rec summer flounder catch is released
  • Raised by AP members and stakeholders seeking management to address
  • EAFM issue and focus – seven linked categories: Management, Summer Flounder Stock, Science, Fishing Fleets, and Benefits

screen shot of summer flounder conceptual model with discards highlighted color categories for conceptual model

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Mid-Atlantic EAFM next steps: management strategy evaluation

  • Technical working group with similar approach and membership as used in conceptual model process
    • Diverse interdisciplinary and inter-agency membership – additional MSE expertise
    • Independent facilitator from outside the region
  • Introductory MSE workshop September 2020
    • Joint federal and state management advisory panels
    • Stakeholdrs likely to participate in MSE process
    • Introduced MSE process, concepts, expectations
    • Simulated stakeholder workshop to understand participant role

MSE kickoff example slide Walleye MSE Workshop

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MSE approach and timeline

Anticipating 3 stakeholder workshops (next 12 – 15 months)

  • W1: Identify management objectives, performance metrics, and uncertainties
  • W2: Input on initial model development and results
  • W3: Review updated model and “final” results

Iterative process with Committees/Council/Board

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Conclusions

  • The process takes time – need to recognize that early and be willing to invest the resources to see it through

    • Need the science to develop and support efforts
    • Need management (and stakeholders) to understand process and concepts and support process
  • 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
  • Timely and understandable scientific information

    • Developing a process to create science products at timescales necessary for management
    • Information needs to be relevant and clearly presented
    • Flexibility to use different/alternative data sources when specific data in not available (proxies)
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References

Bastille, K. et al. (2020). "Improving the IEA Approach Using Principles of Open Data Science". In: Coastal Management 0.0. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846155, pp. 1-18. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846155. URL: https://doi.org/10.1080/08920753.2021.1846155 (visited on Dec. 09, 2020).

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).

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. (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. (2020). "There Is no I in EAFM Adapting Integrated Ecosystem Assessment for Mid-Atlantic Fisheries Management". In: Coastal Management 0.0. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846156, pp. 1-17. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846156. URL: https://doi.org/10.1080/08920753.2021.1846156 (visited on Dec. 09, 2020).

DePiper, G., Gaichas, S., Muffley, B., Ardini, G., Brust, J., Coakley, J., Dancy, K., Elliott, G.W., Leaning, D.C., Lipton, D., McNamee, J., Palmer, D., Perretti, C., Rootes-Murdy, K., Wilberg, M. In review at ICES Journal of Marine Science. Learning by doing: Collaborative conceptual modeling as a path forward in Ecosystem-based Management.

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An integrated ecosystem assessment (IEA) success story (in progress)

  • ICES WGNARS international science (DePiper, et al., 2017)

    • Indicator development
    • Worked examples of IEA components
  • Ecosystem reporting linked to management objectives

    • Open science emphasis (Bastille, et al., 2020)
    • Report evolving since 2016
    • Fishery-relevant subset of full Ecosystem Status Reports
  • Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)

    • Risk assessment (Gaichas, et al., 2018)
    • Conceptual modeling (DePiper et al., in review)
    • Management strategy evaluation (MSE)
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an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making

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