Goherr: WP4 Linking fish physiology to food production and bioaccumulation of dioxin

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Summary of workpackage

Work package number: WP 4
Start date or starting event: Month 1
Work package title: Linking fish physiology to food production and bioaccumulation of dioxin
Activity Type: RTD
Participant number 4 1 2
Participant short name SLU UH THL
Person-months per participant 32 8 2

Contact information

Name Institution e-mail Responsibilities
Anna Gårdmark SLU anna.gardmark@slu.se PI; WP4 leader
Magnus Huss SLU magnus.huss@slu.se WP4 researcher
Johan Östergren SLU johan.ostergren@slu.se WP4 researcher
Andreas Bryhn SLU andreas.bryhn@slu.se WP4 researcher, task 4.6
Juoni Tuomisto THL juoni.tuomisto@thl.fi PI; WP4 researcher; task 4.6
Arja Haapasari THL arja.asikainen@thl.fi WP4 researcher; task 4.6
Päivi Haapasari UH paapasa@mappi.helsinki.fi PI; WP4 researcher; task 4.6

DoW

Tasks

  • 4.1 Derive size-dependent life history parameters for salmon for model parameterization (SLU) (M12)
  • 4.2 Develop a physiologically structured population model parameterized for herring to also include salmon (SLU) (M24)
  • 4.3 Evaluate consequences of size-dependent salmon-herring interactions for community and population structure, dynamics and individual life history using the model (SLU) (M28)
  • 4.4 Manipulate herring population size-structure and body condition in the model to evaluate how bioaccumulation affect the transfer of dioxins from herring to salmon (SLU) (M34)
  • 4.5 Compile monitoring data on herring and salmon to analyze the interdependence of herring and salmon populations using time-series statistics (SLU) (M24)
  • 4.6 Compile output from model analyses (e.g. biomass, size-structure, size-at-age, dioxin levels etc) to feed into the Decision support model for integrated governance in WP6 aiming to evaluate potential management plans for Baltic herring fisheries (SLU, UH, THL) (M28-34, following tasks 4.3 and 4.4)


Deliverables

  • D4.1. MS (submitted): Effects of size dependent interactions between herring and salmon on community structure and individual performance; using monitoring data (M24). Responsible partner: SLU.
  • D4.2. Report/MS: Size dependent predator-prey interactions and the dynamics of herring and salmon in the Baltic Sea; using physiologically-structured population models (M30). Responsible partner: SLU.
  • D4.3. Report: Novel physiologically structured population model for herring and salmon to analyze bioaccumulation of dioxin in Baltic Sea fish (M34). Responsible partner: SLU.

See also

Goherr Research project 2015-2018: Integrated governance of Baltic herring and salmon stocks involving stakeholders
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Goherr public website

Workpackages including task description and follow-up:
WP1 Management · WP2 Sociocultural use, value and goverrnance of Baltic salmon and herring · WP3 Scenarios and management objectives · WP4 Linking fish physiology to food production and bioaccumulation of dioxin · WP5 Linking the health of the Baltic Sea with health of humans: Dioxin · WP6 Building a decision support model for integrated governance · WP7 Dissemination

Other relevant pages in Opasnet: GOHERR assessment · Relevant literature

Relevant data: Exposure response functions of dioxins · Fish consumption in Sweden · POP concentrations in Baltic sea fish · Exposure response functions of Omega3 fatty acids

Relevant methods: Health impact assessment · OpasnetBaseUtils‎ · Modelling in Opasnet

Relevant assessments: Benefit-risk assessment of Baltic herring · Benefit-risk assessment on farmed salmon · Benefit-risk assessment of methyl mercury and omega-3 fatty acids in fish · Benefit-risk assessment of fish consumption for Beneris · Benefit-risk assessment of Baltic herring (in Finnish)

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