an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making
ICES WGNARS international science (DePiper, et al., 2017)
Ecosystem reporting linked to management objectives
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making
Deep dive into components of the IEA process from a scientific perspective
"So what?" --John Boreman, September 2016
Clear linkage of ecosystem indicators with management objectives
Synthesis across indicators for big picture
Objectives related to human-well being placed first in report
Short (< 30 pages), non-technical (but rigorous) text
Emphasis on reproducibility
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
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 |
Characterizing ecosystem change for fishery management: plain language summary for 2 pager
Indicator: Total landings Trend: Decreasing
Mid-Atlantic
New England
Why: multiple drivers: stock status/management, engagement, markets, fish population drivers
Recognize regime shifts and potential system reorganization
Work in progress has identified the following potential drivers
Indicator: Recreational engagement, reliance, vulnerability
Mid-Atlantic communities
Indicator: Commercial Vulnerability engagement, reliance, vulnerability
Indicators: Species By-catch
Indicators: Endangered Species Populations
Indicators: Gulf Stream index, bottom and surface temperature, heat waves
Trends:
Why this matters: Habitat change from multiple drivers alters:
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 |
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.
More information: http://www.fisherycouncils.org/ https://www.fisheries.noaa.gov/topic/laws-policies#magnuson-stevens-act
"We rebuilt all the stocks, so why is everyone still pissed off?" --Rich Seagraves
in 2011, the Council asked:
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
• 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
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"
Details, including workshop presentations and white papers: http://www.mafmc.org/eafm
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.
2016 Ecosystem Approach to Fishery Management (EAFM) Policy Guidance document: http://www.mafmc.org/s/EAFM-Doc-Revised-2019-02-08.pdf
Mid-Atlantic EAFM framework (Gaichas, et al., 2016):
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.
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
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).
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 |
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 |
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).
Management elements updated from original 2017 risk assessment; added risk rankings for chub mackerel and unmanaged forage fish.
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 |
Working group of habitat, biology, stock assessment, management, economic and social scientists developed:
Final conceptual model and supporting information at December 2019 Council meeting
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).
Anticipating 3 stakeholder workshops (next 12 – 15 months)
Iterative process with Committees/Council/Board
The process takes time – need to recognize that early and be willing to invest the resources to see it through
Collaboration is key
Timely and understandable scientific information
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.
Visualizations:
ICES WGNARS international science (DePiper, et al., 2017)
Ecosystem reporting linked to management objectives
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
an iterative, collaborative process has evolved to formulate ecosystem advice and to apply it in decision making
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