Ecosystem indicators linked to management objectives (DePiper, et al., 2017)
Open science emphasis (Bastille, et al., 2020)
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
Objective Categories | Indicators reported here |
---|---|
Provisioning and Cultural Services | |
Seafood Production | Landings; commercial total and by feeding guild; recreational harvest |
Profits | Revenue decomposed to price and volume |
Recreation | Days fished; recreational fleet diversity |
Stability | Diversity indices (fishery and ecosystem) |
Social & Cultural | Community engagement/reliance 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
Indicators: Commercial and recreational landings
Key: Black = Landings of all species combined;
Red = Landings of MAFMC managed species
Multiple drivers: ecosystem and stock production, management, market conditions, and environment
Is biomass driving?
Key: Black = NEFSC survey;
Red = NEAMAP survey
Key: Orange background = Tipping point overfishing threshold, Link and Watson 2019 Green background = Optimal range, Link and Watson 2019
Key: Black = Landings of all species combined;
Red = Landings of MAFMC managed species
Drivers:
Monitor:
Because ecosystem overfishing seems unlikely, stock status is mostly acceptable, 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.
Indicator: Commercial Revenue
Key: Black = Revenue of all species combined;
Red = Revenue of MAFMC managed species
Indicator: Bennet--price and volume indices
Recent declines in prices contributed to falling revenue as quantities landed did not increase enough to counteract declining prices.
Indicator: Realized catch relative to management target (ABC or ACL)
Implications
Indicators: Recreational effort and fleet diversity
Implications
Recreational effort ...
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.
Absence of a long-term trend in recreational effort suggests relative stability in the overall number of recreational opportunities in the MAB.
2021 Memo 22-23, Cumulative weather index and management complexity drivers under construction
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 and larval fish 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: Social vulnerability, 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 any of these communities are also experiencing social vulnerability, they may have lower ability to successfully respond to change. These indicators may also point to communities that are vulnerable to environmental justice issues.
Indicators: Social vulnerability, 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 any of these communities are also experiencing social vulnerability, they may have lower ability to successfully respond to change. These indicators may also point to communities that are vulnerable to environmental justice issues.
Indicators: Harbor porpoise and gray seal bycatch
Implications:
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.
Unusual mortality events continue for 3 large whale species, harbor and gray seals.
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: Estuarine conditions, Chesapeake Bay
Indicator: SAV trends in Chesapeake Bay
Indicator: Water quality attainment
Implications: (synthesize with Chesapeake Bay summary a few slides from now)
Indicator: cold pool indices
Indicator: warm core rings
Indicator: acidification
Indicators: primary production, zooplankton
Increased temperatures, as reported above, can increase the rate of photosynthesis by phytoplankton (i.e. primary productivity). Annual primary production has increased over time, primarily driven by increased productivity in the summer months.
Larger zooplankton (i.e. Calanus finmarchicus) had above average abundance in 2018-2019, while smaller-bodied copepods were near or below average.
Indicators: plankton-based forage anomaly and forage fish energy content (2021 Memo 17)
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
Indicators: fish condition (2021 Memo 18)
Preliminary results (2021):
Indicator: fish productivity anomaly
See memo for preliminary results These relationships can potentially provide insights on which species may be more vulnerable to environmental changes such as climate change, as well as what biomass changes may be expected from certain species given current environmental conditions
Indicators: distribution shifts continue (slide 7), diversity mixed (slide 16), here summarize predator status and trends (2021 Memo 12, 15, 25)
No trend in aggregate sharks
Shark 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.
Indicators: climate sensitive species life stages mapped to climate vulnerable habitats
See MAFMC 2021 EAFM risk assessment for example species narratives
Multiple drivers with different impacts by species
Chesapeake Bay
Ocean acidification impact on shellfish growth
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.
Indicators: development timeline, community specific revenue in lease areas
Implications (2021--uupdate):
Current plans for rapid buildout of offshore wind in a patchwork of areas spreads the impacts differentially throughout the region
2-24% of total average revenue for major Mid-Atlantic commercial species in lease areas could be displaced if all sites are developed. Displaced fishing effort can alter fishing methods, which can in turn change habitat, species (managed and protected), and fleet interactions.
Right whales may be displaced, and altered local oceanography could affect distribution of their zooplankton prey.
Scientific data collection surveys for ocean and ecosystem conditions, fish, and protected species will be altered, potentially increasing uncertainty for management decision making.
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
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).
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).
SOE has been like an annual benchmark with new data and structure... hold pattern for a few years?
Request | Year | Source |
---|---|---|
More direct convos for feedback | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Add "This report is direct to..." | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Further definition of regime shift - Define "abupt" and "Persistant" | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Expand collaboration with Canadian Counterparts | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
State management objectives first in report | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
recreational bycatch mortality as an indicator of regulatory waste | 2021 | MAFMC SSC - https://docs.google.com/document/d/1wDBu92Z4sotWjXGpqQYwc9XoSkjndoEF/edit |
Sturgeon Bycatch | 2021 | MAFMC SSC - https://docs.google.com/document/d/1wDBu92Z4sotWjXGpqQYwc9XoSkjndoEF/edit |
Sum of TAC/ Landings relative to TAC | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Decomposition of diversity drivers highlighting social components | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
changing per capita seafood consumption as driver of revenue? | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
fall turnover date index | 2021 | MAFMC SSC - https://docs.google.com/document/d/1wDBu92Z4sotWjXGpqQYwc9XoSkjndoEF/edit |
Nutrient input, Benthic Flux and POC(particulate organic carbon ) to inform benthic productivity by something other than surface indidcators | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
OA in NEFMC SOE | 2021 | NEFMC SSC - https://docs.google.com/document/d/1jc8mpBWZSu3RUBUBdXytFzEOsJsMn9A1yBdfjFIW1FU/edit |
Habitat impact of fishing based on gear. | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
relate OA to nutrient input; are there "dead zones" (hypoxia)? | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
indicators of chemical pollution in offshore waters? | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
links between species availability inshore/offshore (estuarine conditions) and trends in recreational fishing effort? | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
how does phyto size comp affect EOF indicator, if at all? | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
Revisit right whale language | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
Indicator of scallop pred pops poorly sampled by bts | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
Apex predator index (pinnipeds) | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
Forage availability index (Herring/Sandlance) | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
fishery gear modifications accounted for in shark CPUE? ask HMS | 2021 | MAFMC - https://docs.google.com/document/d/19OkkLTt00RaQ4YWx4Mrc_4CBI9iTxKJDBkl60A_D4lU/edit |
compare EOF (Link) thresholds to empirical thresholds (Large, Tam) | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Time series analysis (Zooplankton/Forage fish) to tie into regime shifts | 2021 | MAFMC SSC - https://docs.google.com/document/d/1u-JQPpceJGzz2jddx2ssHJLlgMB7y0Jg5h_oO31Hx38/edit |
Trend analysis | 2021 | NEFMC SSC - https://docs.google.com/document/d/1jc8mpBWZSu3RUBUBdXytFzEOsJsMn9A1yBdfjFIW1FU/edit |
Regime shifts in Social-Economic indicators | 2021 | NEFMC SSC - https://docs.google.com/document/d/1jc8mpBWZSu3RUBUBdXytFzEOsJsMn9A1yBdfjFIW1FU/edit |
Optimum yeild for ecosystem | 2021 | NEFMC - https://docs.google.com/document/d/119fjByOtS75IZuqVAVocKZb-NSdzYF7oXpl4WDt9RwQ/edit |
Linking Condition | 2020 | MAFMC |
Re-evaluate EPUs | 2020 | NEFMC |
Incorporate social sciences survey from council | 2020 | NEFMC |
Cumulative weather index | 2020 | MAFMC |
VAST and uncertainty | 2020 | Both Councils |
Seal index | 2020 | MAFMC |
Biomass of spp not included in BTS | 2020 | MAFMC |
Reduce indicator dimensionality with multivariate statistics | 2020 | NEFMC |
Breakpoints | 2020 | NEFMC |
Management complexity | 2019 | MAFMC |
Shellfish growth/distribution linked to climate (system productivity) | 2019 | MAFMC |
Estuarine condition relative to power plants and temp | 2019 | MAFMC |
Avg weight of diet components by feeding group | 2019 | Internal |
Mean stomach weight across feeding guilds | 2019 | MAFMC |
Young of Year index from multiple surveys | 2019 | MAFMC |
Inflection points for indicators | 2019 | Both Councils |
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
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 |
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 |
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?
Ecosystem indicators linked to management objectives (DePiper, et al., 2017)
Open science emphasis (Bastille, et al., 2020)
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
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