My background
What is NOAA?
What we do
Challenges with what we do
Addressing challenges
What do I do?
Integrated ecosystem assessment
Modeling management strategies
Alaska:
Northeast:
How many fish can be caught sustainably?
Establish objectives
Develop indicators
Assess ecosystem
Risk assessment
Management strategy evaluation
Evaluate and iterate
The IEA Loop1
Ecosystem indicators linked to management objectives
Open science emphasis
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process
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
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:
market dynamics affecting commercial landings of surfclams and ocean quahogs
other drivers affecting recreational landings: shark fishery management, possibly survey methodology
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.
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).
Indicator: cold pool area
Indicator: acidification
Implications:
Changing climate and ocean conditions → Shifting species distributions, changing productivity
Needs:
Climate-Ready Management1
[1] Karp, Melissa A. et al. 2019. Accounting for shifting distributions and changing productivity in the development of scientific advice for fishery management. – ICES Journal of Marine Science, doi:10.1093/icesjms/fsz048.
Atlantis modeling framework: Fulton et al. 2011, Fulton and Smith 2004
Building on global change projections: Hodgson et al. 2018, Olsen et al. 2018
Recruitment variability in the operating model
Specify uncertainty in assessment inputs using atlantisom
Biomass
Fishing mortality
Recruitment
Key: True SS3 estimate
Fisheries stock assessment and ecosystem modeling continue to develop
Can we keep pace with climate?
Existing management systems are at least as complex as the ecosystems, with diverse interests and emerging industries
Integrated ecosystem assessment and management strategy evaluation
Mathematical innovation needed!
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 Institute)
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 Institute)
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
Questions? Thank you!
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
My background
What is NOAA?
What we do
Challenges with what we do
Addressing challenges
What do I do?
Integrated ecosystem assessment
Modeling management strategies
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