Evolving ecosystem approach in the Mid-Atlantic
"Can we integrate ecosystem considerations into operational fishery management?"
Discussion
"What should managers do with information on fish ecology?"
Diverse stakeholders agreed that an ecosystem approach was necessary. Developing and implementing an ecosystem approach to fishery management was done in collaboration between managers, stakeholders, and scientists.
Outline
Mid-Atlantic Fishery Management Council Ecosystem Approach (EAFM)
Tailoring ecosystem reporting for fishery managers
Mid-Atlantic EAFM risk assessment
Next steps: what would you do?
Integrated Ecosystem Assessment
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.
"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.
Ecosystem indicators linked to management objectives (DePiper, et al., 2017)
Open science emphasis (Bastille, et al., 2021)
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2021)
Objectives derived from (DePiper, et al., 2017)
Objective Categories | Indicators reported |
---|---|
Provisioning and Cultural Services | |
Seafood Production | Landings; commercial total and by feeding guild; recreational harvest |
Profits | Revenue decomposed to price and volume |
Recreation | Angler trips; recreational fleet diversity |
Stability | Diversity indices (fishery and ecosystem) |
Social & Cultural | Community engagement/reliance and environmental justice status |
Protected Species | Bycatch; population (adult and juvenile) numbers, mortalities |
Supporting and Regulating Services | |
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
Spatial scale
A glossary of terms (2021 Memo 5), detailed technical methods documentation and indicator data are available online.
Key to figures
Trends assessed only for 30+ years: more information
Orange line = significant increase
Purple line = significant decrease
No color line = not significant or < 30 yearsGrey background = last 10 years
Performance relative to management objectives
Seafood production , status not evaluated
Profits , status not evaluated
Recreational opportunities: Effort
; Effort diversity
Stability: Fishery
; Ecological
Social and cultural, trend not evaluated, status of:
Protected species:
Risks to meeting fishery management objectives
Climate: warming and changing oceanography continue
Other ocean uses: offshore wind development
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)
Key: Black = Revenue of all species combined;
Red = Revenue of MAFMC managed species
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)
Key: Black = Revenue of all species combined;
Red = Revenue of MAFMC managed species
SOE Implications: Recent change driven by benthos. Monitor changes in climate and landings drivers:
Indicator: Commercial landings
Key: Black = Landings of all species combined;
Red = Landings of MAFMC managed species
Coastwide landings at the Federal fishery management plan (FMP) level were mixed in 2020 when compared to recent years. Landings of monkfish and of combined surfclam and ocean quahog declined in 2020, while landings of combined summer flounder, scup, and black sea bass increased, and landings of combined squid species increased in 2020.*
Indicators: Recreational harvest
*US Seafood Industry and For-Hire Sector Impacts from COVID-19: 2020 in Perspective
Multiple potential drivers of landings changes: ecosystem and stock production, management actions, market conditions (including COVID-19 disruptions), and environmental change.
However, we do not anticipate the long-term declining trend in landings to change.
Indicator: Stock status
New Indicators: Total ABC or ACL, and Realized catch relative to management target
Stock status affects catch limits established by the Council, which in turn may affect landings trends. Summed across all MAFMC managed species, total Acceptable Biological Catch or Annual Catch Limits (ABC or ACL) have been relatively stable 2012-2020 (top). With the addition of blueline tilefish management in 2017, an additional ABC and ACL contribute to the total 2017-2020. Discounting blueline tilefish, the recent total ABC or ACL is lower relative to 2012-2013, with much of that decrease due to declining Atlantic mackerel ABC.
Nevertheless, the percentage caught for each stock’s ABC/ACL suggests that these catch limits are not generally constraining as most species are well below the 1/1 ratio (bottom). Therefore, stock status and associated management constraints are unlikely to be driving decreased landings for the majority of species.
Biomass does not appear to drive landings trends
Key: Black = NEFSC survey;
Red = NEAMAP survey
Drivers: likely market-driven, but update next year
Monitor:
Because stock status is mostly acceptable, ABCs don't appear to be constraining for many stocks, and aggregate biomass trends appear stable, the decline in commercial landings is most likely driven by market dynamics affecting the landings of surfclams and ocean quahogs, as quotas are not binding for these species.
Climate change also seems to be shifting the distribution of surfclams and ocean quahogs, resulting in areas with overlapping distributions and increased mixed landings. Given the regulations governing mixed landings, this could become problematic in the future and is currently being evaluated by the Council.
Indicators: ocean currents, bottom and surface temperature, marine heatwaves
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).
Indicators: Chesapeake Bay temperature and salinity
Indicator: SAV trends in Chesapeake Bay
Indicator: Water quality attainment
Indicator: cold pool indices
Indicator: Ocean acidification
Indicator: warm core rings
Indicators: chlorophyll, primary production, zooplankton
Implications: increased production by smaller phytoplankton implies less efficient transfer of primary production to higher trophic levels. Monitor implications of increasing gelatinous zooplankton and krill.
Below average phytoplankton biomass could be due to reduced nutrient flow to the surface and/or increased grazing pressure. A short fall bloom was detected in November. Primary productivity (the rate of photosynthesis) was average to below average throughout 2021
Implications: fluctuating environmental conditions and prey for forage species affect both abundance and energy content. Energy content varies by season, and has changed over time most dramatically for Atlantic herring
Indicator: fish condition
Indicator: fish productivity anomaly
Implications: Most species in the MAB had below average or poor condition again in 2021. Preliminary results of synthetic analyses show that changes in temperature, zooplankton, fishing pressure, and population size influence the condition of different fish species.
Indicators: distribution shifts, diversity, predator status and trends
No trend in aggregate sharks
HMS populations mainly at or above target
Gray seals increasing (details in NE report)
Implications: stable predator populations suggest stable predation pressure on managed species, but increasing predator populations may reflect increasing predation pressure.
A survey conducted in 2021 in both countries will provide updated estimates of abundance.
Climate: 6 low, 3 low-mod, 4 mod-high, 1 high risk
Multiple drivers with different impacts by species
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.
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 |
Chub mackerel | highest | lowmod | lowmod | lowest | lowest | lowest | na | na | 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 |
Ecosystem level risk elements
System | EcoProd | CommRev | RecVal | FishRes1 | FishRes4 | FleetDiv | Social | ComFood | RecFood |
---|---|---|---|---|---|---|---|---|---|
Mid-Atlantic | lowmod | modhigh | lowmod | 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 | lowest |
Scup-R | lowmod | lowest | lowmod | modhigh | modhigh | highest |
Scup-C | lowest | lowmod | modhigh | modhigh | modhigh | lowest |
Black sea bass-R | highest | lowest | modhigh | modhigh | highest | highest |
Black sea bass-C | highest | lowmod | highest | modhigh | highest | lowest |
Atl. mackerel-R | lowmod | lowest | lowest | lowmod | lowest | lowest |
Atl. mackerel-C | lowest | lowmod | modhigh | highest | lowmod | highest |
Butterfish-C | lowest | lowmod | modhigh | modhigh | modhigh | lowest |
Longfin squid-C | lowest | modhigh | highest | modhigh | highest | lowest |
Shortfin squid-C | lowmod | lowmod | lowmod | modhigh | lowest | highest |
Golden tilefish-R | na | lowest | lowest | lowest | lowest | lowest |
Golden tilefish-C | lowest | lowest | lowest | lowest | lowest | lowest |
Blueline tilefish-R | lowmod | lowest | lowest | lowmod | lowest | lowest |
Blueline tilefish-C | lowmod | lowest | lowest | lowmod | lowest | lowest |
Bluefish-R | lowmod | lowest | lowest | lowmod | modhigh | highest |
Bluefish-C | lowest | lowest | lowmod | lowmod | lowmod | lowest |
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 |
Changes: Recreational value decreased from high to low-mod 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?
Kimberly Bastille
Aaron Beaver (Anchor QEA)
Andy Beet
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
Dan Dorfman (NOAA-NOS-NCCOS)
Hubert du Pontavice
Emily Farr (NMFS Office of Habitat Conservation)
Michael Fogarty
Paula Fratantoni
Kevin Friedland
Marjy Friedrichs (VIMS)
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
Brandon Muffley (MAFMC)
Kimberly Murray
Chris Orphanides
Richard Pace
Tom Parham (Maryland DNR)
Charles Perretti
CJ Pellerin (NOAA Chesapeake Bay Office)
Grace Roskar (NMFS Office of Habitat Conservation)
Grace Saba (Rutgers)
Vincent Saba
Sarah Salois
Chris Schillaci (GARFO)
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
Mark Wuenschel
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).
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).
Indicator: fish condition
Indicator: fish productivity anomaly
Indicator: Commercial Revenue
Key: Black = Revenue of all species combined;
Red = Revenue of MAFMC managed species
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
Recent declines in prices contributed to falling revenue as quantities landed did not increase enough to counteract declining prices.
Indicators: Recreational effort and fleet diversity
Implications
Increased angler trips in 2020 relative to previous years strongly influence the long term increase in recreational effort. Recreational effort (angler trips) has increased over the long term, with 2020 effort above the long-term average.
The increasing long term trend changes the risk categories for the RecValue element to low-moderate (previously ranked high risk).
Decline in recreational fleet diversity suggests a potentially reduced range of opportunities.
Driven by party/charter contraction (from a high of 24% of angler trips to 7% currently), and a shift toward shore based angling.
Changes in recreational fleet diversity can be considered when managers seek options to maintain recreational opportunities. Shore anglers will have access to different species than vessel-based anglers, and when the same species, typically smaller fish. Many states have developed shore-based regulations where the minimum size is lower than in other areas and sectors to maintain opportunities in the shore angling sector.
Fishery Indicators: Commercial fleet count, fleet diversity
Fishery Indicators: commercial species revenue diversity, recreational species catch diversity
Ecological Indicators: zooplankton diversity
Ecological Indicator: expected number of species, NEFSC bottom trawl survey
Implications:
While larval and adult fish diversity indices are stable, a few warm-southern larval species are becoming more dominant. Increasing zooplankton diversity is driven by declining dominance of an important species, which warrants continued monitoring.
Indicators: Environmental justice vulnerability, commercial fishery engagement and reliance
Mid-Atlantic commercial fishing communities
Implications: Highlighted communities may be vulnerable to changes in fishing patterns due to regulations and/or climate change. When also experiencing environmental justice issues, they may have lower ability to successfully respond to change.
These plots provide a snapshot of the presence of environmental justice issues in the most highly engaged and most highly reliant commercial and recreational fishing communities in the Mid-Atlantic. These communities may be vulnerable to changes in fishing patterns due to regulations and/or climate change. When any of these communities are also experiencing social vulnerability including environmental justice issues, they may have lower ability to successfully respond to change.
Indicators: Environmental justice vulnerability, recreational fishery engagement and reliance
Mid-Atlantic recreational fishing communities
Implications: Highlighted communities may be vulnerable to changes in fishing patterns due to regulations and/or climate change. When also experiencing environmental justice issues, they may have lower ability to successfully respond to change.
Indicators: Harbor porpoise and gray seal bycatch
Implications:
Currently meeting objectives
Risk element: TechInteract, evaluated by species and sector: 14 low, 6 low-mod, 3 mod-high risk, unchanged
The downward trend in harbor porpoise bycatch can also be due to a decrease in harbor porpoise abundance in US waters, reducing their overlap with fisheries, and a decrease in gillnet effort.
The increasing trend in gray seal bycatch may be related to an increase in the gray seal population (U.S. pup counts).
Indicators: North Atlantic right whale population, calf counts
Implications:
Population drivers for North Atlantic Right Whales (NARW) include combined fishery interactions/ship strikes, distribution shifts, and copepod availability.
Additional potential stressors include offshore wind development, which overlaps with important habitat areas used year-round by right whales, including mother and calf migration corridors and foraging habitat.
Unusual mortality events continue for 3 large whale species.
Indicators: climate sensitive species life stages mapped to climate vulnerable habitats
See MAFMC 2022 EAFM risk assessment for example species narratives
Indicators: development timeline, fishery and community specific revenue in lease areas
Implications:
Current plans for rapid buildout of offshore wind in a patchwork of areas spreads the impacts differentially throughout the region Evaluating the impacts to scientific surveys has begun.
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