Acronym ADMAR
Category
Fisheries
Title Adaptive management of living marine resources by integrating different data sources and key ecological processes Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Olav Sigurd Kjesbu Coordinator email olav.kjesbu@imr.no
Coordinator institution
IMR - Institute of Marine Research (Norway)
Institutions involved
BIO - Bedford Institute of Oceanography (Canada) ,
PINRO - Knipovich Polar Research Institute of Marine Fisheries and Oceanography (Russian Federation) ,
OSU - Oregon State University (United States of America) ,
Start year 2010 End year 2015 Funding (€) € 3,853,904 Website https://prosjektbanken.forskningsradet.no/en/project/FORISS/200497?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=0&TemaEmne.2=Milj%C3%B8+og+marine+ressurser+%28utg%C3%A5r+2010%29 Summary The Norwegian Ocean Resource Act (Havressursloven) of 2009 is a formal implementation of the Ecosystem Approach to Fisheries. This requires explicit management action towards data rich stocks, as well as for data poor stocks, including those of minor commercial importance. The overall goal of this project is to enhance knowledge of ecosystem functioning and to derive a framework for operational adaptive management. To meet this goal, progress needs to be made in two directions: Firstly, there is a need for developing models with high levels of realism. Different data sources (survey data, fisheries statistics, life history traits, multi species considerations etc.), including their error structures, need to be integrated to derive key parameters and time-series. Further development of stock assessment models, including identifying and quantifying uncertainties, is paramount. Secondly, better biological models must be developed, which incorporate food-web interactions and provide a basic understanding of ecosystem functioning. In order to model multi-species dynamics parsimoniously, size-based models will be developed. These models, which realistically describe the essential ecological processes, may be particularly useful in data-poor situations. Using both approaches, the project will seek to derive Harvest Control Rules (HCR) for exploited stocks. This allows us to study the outcome of different harvesting scenarios, under varying amounts of information, and see how a reduction in information affects the most robust HCR, in an operational setting. The project will also consider different ecological scenarios, where species interactions continuously change within and among species over the course of harvesting and environmental changes. These operational models form the basis for deriving a modelling framework, which provides scientifically sound advice conditioned on the level and quality of the available information.
Goal:
(WP1) Survey design, estimation methods and modelling; (WP2) Harvest control rules and management; (WP3) Modelling and parameterizing trophic interactions; (WP4) Ecosystem multi-species, length-based modelling.
Keywords
Ecosystem approach;
Food web;
Stock assessment;
Fisheries management;
Biology;
Marine Region
42
Barents Sea (27.I)
1
Marine Region Map
