Overview
What types of decisions are made?
How can ecosystem information support these decisions?
Word cloud based on Mid-Atlantic Fishery Management Council EAFM Guidance Document
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
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)
The IEA Loop1
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, 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 - Mid-Atlantic
Seafood production ,
Profits ,
Recreational opportunities: Effort
; Effort diversity
Stability: Fishery
; Ecological
Social and cultural, trend not evaluated, status of:
Protected species:
Performance relative to management objectives - Georges Bank
Seafood production ,
Profits ,
Recreational opportunities: Effort ,
; Effort diversity
,
Stability: Fishery , Commercial
Rec
; Ecological
Social and cultural, trend not evaluated, status of:
Protected species:
Performance relative to management objectives - Gulf of Maine
Seafood production ,
Profits Total ,
; NEFMC Managed
,
Recreational opportunities: Effort ,
; Effort diversity
,
Stability: Fishery , Commercial
Rec
; Ecological
Social and cultural, trend not evaluated, status of:
Protected species:
Risks to meeting fishery management objectives - All regions
Climate: warming and changing oceanography continue
Risks to meeting fishery management objectives - All regions
Other ocean uses: offshore wind development
Indicators: Harbor porpoise and gray seal bycatch
Implications:
Currently meeting objectives, but recent bycatch uncertain.
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.
Risk elements:
Indicators: ocean currents, temperature, seasons
The Gulf Stream is trending north. Ocean summer is lasting longer. In contrast to SST, long term bottom temperature is increasing in all seasons. Few surface and no bottom extreme warming events in 2022.
Seasonal sea surface temperatures in 2022 were above average for most of the year, however late spring storms caused deep mixing, which delayed stratification and surface warming in late spring and early summer. A combination of long-term ocean warming and extreme events should be used to assess total heat stress on marine organisms
Needs: skillful short term projections (2-5 years) of multiple habitat variables at regional scale
Climate: 18 low, 10 low-mod, 9 mod-high, 3 high risk
Multiple drivers with different impacts by species
Ocean acidification impact on commercial species
Warm core rings important to Illex availability.
DistShift: 2 low, 4 low-mod, 31 mod-high, 3 high risk
New Indicator: protected species shifts
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.
Indicator: Fish condition
Indicator: Fish productivity anomaly →
Implications: Species in the MAB had mixed condition in 2022. Fish productivity based on surveys and assessments has been below average.
Black line indicates sum where there are the same number of assessments across years.
Methods from (Perretti, et al., 2017).
Indicator: Forage fish index
Indicator: Common tern productivity
Indicator: Gray seal pup production
Indicators: development timeline, fishery and community specific revenue in lease areas
Council request: which New England ports have significant reliance on Mid-Atlantic managed species?
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.
The Bluefish Research Track ESP was presented December 7 2022, and was well received by CIE reviewers. Reviewers commented that it was the most complete treatment of a stock assessment "ecosystem ToR" they had seen, and formed a good basis for integrating further ecosystem information into the stock assessment in the future. The full ESP document is available as a working paper from the stock assessment data portal.
In addition to the conceptual model, a summary table was developed for bluefish ecosystem indicators. This type of summary could contribute to OFL CV decisions with further information on how these indicator levels affect uncertainty in assessment.
Ecosystem and Socioeconomic Profiles (ESPs)
Pacific cod example from Alaska: https://www.fisheries.noaa.gov/alaska/2021-alaska-fisheries-science-center-year-review and https://apps-afsc.fisheries.noaa.gov/refm/docs/2021/GOApcod.pdf
Our ESP process was developed from the AFSC process, but we adjusted things slightly because of how our benchmarks are scheduled and because we are providing scientific advice to multiple Councils.
The ESP framework is an iterative cycle that complements the stock assessment cycle. First I will give you an overview of the ESP cycle, and then I will explain each step in more detail. The ESP begins with the development of the problem statement by identifying the topics that the assessment working group and ESP team want to assess. This process includes a literature review or other method of gathering existing information on the stock, such as reviewing prior assessments and research recommendations. Next, a conceptual model is created that links important processes and pressures to stock performance. From these linkages, we develop indicators that can be used to monitor the system conditions. Next, the indicators are analyzed to determine their status and the likely impacts on the stock. Some indicators may be tested for inclusion in assessment models. Finally, all of these analyses are synthesized into a report card to provide general recommendations for fishery management.
Figure and table by Abigail Tyrell
The full ESP document is available as a working paper from the stock assessment data portal
Would this approach be useful for Right Whale ecosystem context?
The Bluefish Research Track ESP was presented December 7 2022, and was well received by CIE reviewers. Reviewers commented that it was the most complete treatment of a stock assessment "ecosystem ToR" they had seen, and formed a good basis for integrating further ecosystem information into the stock assessment in the future. The full ESP document is available as a working paper from the stock assessment data portal.
In addition to the conceptual model, a summary table was developed for bluefish ecosystem indicators. This type of summary could contribute to OFL CV decisions with further information on how these indicator levels affect uncertainty in assessment.
Bastille, K. et al. (2021). "Improving the IEA Approach Using Principles of Open Data Science". In: Coastal Management 49.1. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846155, pp. 72-89. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846155. URL: https://doi.org/10.1080/08920753.2021.1846155 (visited on Apr. 16, 2021).
DePiper, G. S. et al. (2017). "Operationalizing integrated ecosystem assessments within a multidisciplinary team: lessons learned from a worked example". En. In: ICES Journal of Marine Science 74.8, pp. 2076-2086. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsx038. URL: https://academic.oup.com/icesjms/article/74/8/2076/3094701 (visited on Mar. 09, 2018).
DePiper, G. et al. (2021). "Learning by doing: collaborative conceptual modelling as a path forward in ecosystem-based management". In: ICES Journal of Marine Science. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsab054. URL: https://doi.org/10.1093/icesjms/fsab054 (visited on Apr. 15, 2021).
Gaichas, S. K. et al. (2018). "Implementing Ecosystem Approaches to Fishery Management: Risk Assessment in the US Mid-Atlantic". In: Frontiers in Marine Science 5. ISSN: 2296-7745. DOI: 10.3389/fmars.2018.00442. URL: https://www.frontiersin.org/articles/10.3389/fmars.2018.00442/abstract (visited on Nov. 20, 2018).
Muffley, B. et al. (2021). "There Is no I in EAFM Adapting Integrated Ecosystem Assessment for Mid-Atlantic Fisheries Management". In: Coastal Management 49.1. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846156, pp. 90-106. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846156. URL: https://doi.org/10.1080/08920753.2021.1846156 (visited on Apr. 16, 2021).
Perretti, C. et al. (2017). "Regime shifts in fish recruitment on the Northeast US Continental Shelf". En. In: Marine Ecology Progress Series 574, pp. 1-11. ISSN: 0171-8630, 1616-1599. DOI: 10.3354/meps12183. URL: http://www.int-res.com/abstracts/meps/v574/p1-11/ (visited on Feb. 10, 2022).
Overview
What types of decisions are made?
How can ecosystem information support these decisions?
Word cloud based on Mid-Atlantic Fishery Management Council EAFM Guidance Document
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