Goherr: WP4 Linking fish physiology to food production and bioaccumulation of dioxin
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The page identifier is Op_en7160
|Moderator:Anna Gårdmark (see all)|
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|
|Participant short name||SLU||UH||THL|
|Person-months per participant||32||8||2|
|Anna Gårdmark||SLUemail@example.com||PI; WP4 leader|
|Magnus Huss||SLUfirstname.lastname@example.org||WP4 researcher|
|Johan Östergren||SLUemail@example.com||WP4 researcher|
|Andreas Bryhn||SLUfirstname.lastname@example.org||WP4 researcher, task 4.6|
|Juoni Tuomisto||THLemail@example.com||PI; WP4 researcher; task 4.6|
|Arja Haapasari||THLfirstname.lastname@example.org||WP4 researcher; task 4.6|
|Päivi Haapasari||UHemail@example.com||PI; WP4 researcher; task 4.6|
- 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)
- 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.
This workpackage produced data and analyses about Baltic herring growth. However, due to the publishing policies of the participating institutes, it is not possible to open the data before it has been published in a scientific journal. Until then, the data will remain in Heande web workspace behind a password.