Vis enkel innførsel

dc.contributor.authorde Kok, Jean Luc
dc.contributor.authorViaene, Peter
dc.contributor.authorVermeiren, Karolien
dc.contributor.authorVan der Meulen, Maarten
dc.contributor.authorTiller, Rachel Gjelsvik
dc.contributor.authorArdelan, Murat Van
dc.contributor.authorBailey, Jennifer L.
dc.contributor.authorThorpe, Robert
dc.contributor.authorBeecham, Jonathan
dc.contributor.authorVanleeuwen, Sonja
dc.contributor.authorThingstad, T. Frede
dc.contributor.authorTsagaraki, Tatiana
dc.contributor.authorRichards, Russell
dc.contributor.authorBizsel, Can
dc.contributor.authorSalgado, Hugo
dc.date.accessioned2019-10-24T08:41:26Z
dc.date.available2019-10-24T08:41:26Z
dc.date.created2016-12-08T10:36:57Z
dc.date.issued2016
dc.identifier.citationIn Proceedings of the 8th International Congress on Environmental Modelling and Softwarenb_NO
dc.identifier.isbn978-88-9035-745-9
dc.identifier.urihttp://hdl.handle.net/11250/2624080
dc.description.abstractThe marine food web is considered to be a factor of key importance for the global carbon balance. The concept of the ‘Biological Pump’ refers to the mechanism by which CO2 fixed by photosynthesis is transferred to the deep ocean through biologically-driven processes, resulting in sequestration of carbon for a period of decades or longer. Stressors affecting the efficiency of the biological pump include water column stability, sea temperature, acidity, excessive nutrients inputs, overfishing, pollution and other anthropogenic changes. The aim of the EU-FP7 project OCEANCERTAIN is to reduce the uncertainties in our understanding of the impacts of these stressors on the mechanisms underlying the biological pump, and the resilience of coastal and marine stakeholders for the social-economic impacts of changes in the marine food web. Modelling, field sampling and stakeholder workshops are combined for three case studies in the Arctic, the Eastern Mediterranean and Patagonia. The central paradigm of the project is ‘Consilience’ referring to the integration of data, information and scientific knowledge from different domains and sources to achieve an added value surpassing that of the individual elements. A close collaboration between natural and social scientists, and software engineers is inherent to the concept of consilience. The project results are used to design a Decision-Support System (DSS) integrating scientific knowledge with data and stakeholder expertise, serving as platform for policy analysis. Consilience, and more in particular systems analysis, are the basis for the DSS architecture but by themselves these cannot solve all the practical and methodological issues encountered. A challenge for the project is the integration of the findings and knowledge of the behavioral and natural sciences in the DSS. A combination of three techniques is used to address the issue: a component-based architecture, meta-modelling to represent the biophysical processes described by the components, and fuzzy cognitive mapping to represent narrative scenarios derived from local knowledge.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Environmental Modelling and Software Society - iEMS Toulouse, Francenb_NO
dc.relation.ispartofProceedings of the 8th International Congress on Environmental Modelling and Software, July 10-14, Toulouse, FRANCE.
dc.subjectClimate Change; Systems Analysis; Decision Support System; Model Integration; Fuzzy Cognitive Mapping; Resilience; Adaptive Capacitynb_NO
dc.titleIntegrating scientific knowledge, data and stakeholder perceptions for decision supportnb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber330-337nb_NO
dc.identifier.cristin1410002
dc.relation.projectEC/FP7/603773nb_NO
cristin.unitcode194,67,25,0
cristin.unitcode194,66,25,0
cristin.unitnameInstitutt for sosiologi og statsvitenskap
cristin.unitnameInstitutt for kjemi
cristin.ispublishedtrue
cristin.fulltextoriginal


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel