Integrating scientific knowledge, data and stakeholder perceptions for decision support
The 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 ca...
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ftunivqespace:oai:espace.library.uq.edu.au:UQ:706858 2023-05-15T15:18:17+02:00 Integrating scientific knowledge, data and stakeholder perceptions for decision support de Kok, Jean-Luc Viaene, Peter Vermeiren, Kaolien Van der Meulen, Maarten Tiller, Rachel Van Ardelan, Murat Bailey, Jennifer Thorpe, Robert Beecham, Jonathan Van Leeuwen, Sonja Thingstad, Frede Tsagaraki, Tatiana Richards, Russell Bizsel, Can Salgado, Hugo 2016-01-01 https://espace.library.uq.edu.au/view/UQ:706858 eng eng iEMSs issn:9788890357459 orcid:0000-0002-9297-8676 FP7-ENV-2013.6.1-1 Climate change Systems analysis Decision support system Model integration Fuzzy cognitive mapping Resilience 1712 Software 2305 Environmental Engineering 2611 Modelling and Simulation Conference Paper 2016 ftunivqespace 2020-12-22T13:22:05Z The 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. Conference Object Arctic Climate change The University of Queensland: UQ eSpace Arctic Patagonia |
institution |
Open Polar |
collection |
The University of Queensland: UQ eSpace |
op_collection_id |
ftunivqespace |
language |
English |
topic |
Climate change Systems analysis Decision support system Model integration Fuzzy cognitive mapping Resilience 1712 Software 2305 Environmental Engineering 2611 Modelling and Simulation |
spellingShingle |
Climate change Systems analysis Decision support system Model integration Fuzzy cognitive mapping Resilience 1712 Software 2305 Environmental Engineering 2611 Modelling and Simulation de Kok, Jean-Luc Viaene, Peter Vermeiren, Kaolien Van der Meulen, Maarten Tiller, Rachel Van Ardelan, Murat Bailey, Jennifer Thorpe, Robert Beecham, Jonathan Van Leeuwen, Sonja Thingstad, Frede Tsagaraki, Tatiana Richards, Russell Bizsel, Can Salgado, Hugo Integrating scientific knowledge, data and stakeholder perceptions for decision support |
topic_facet |
Climate change Systems analysis Decision support system Model integration Fuzzy cognitive mapping Resilience 1712 Software 2305 Environmental Engineering 2611 Modelling and Simulation |
description |
The 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. |
format |
Conference Object |
author |
de Kok, Jean-Luc Viaene, Peter Vermeiren, Kaolien Van der Meulen, Maarten Tiller, Rachel Van Ardelan, Murat Bailey, Jennifer Thorpe, Robert Beecham, Jonathan Van Leeuwen, Sonja Thingstad, Frede Tsagaraki, Tatiana Richards, Russell Bizsel, Can Salgado, Hugo |
author_facet |
de Kok, Jean-Luc Viaene, Peter Vermeiren, Kaolien Van der Meulen, Maarten Tiller, Rachel Van Ardelan, Murat Bailey, Jennifer Thorpe, Robert Beecham, Jonathan Van Leeuwen, Sonja Thingstad, Frede Tsagaraki, Tatiana Richards, Russell Bizsel, Can Salgado, Hugo |
author_sort |
de Kok, Jean-Luc |
title |
Integrating scientific knowledge, data and stakeholder perceptions for decision support |
title_short |
Integrating scientific knowledge, data and stakeholder perceptions for decision support |
title_full |
Integrating scientific knowledge, data and stakeholder perceptions for decision support |
title_fullStr |
Integrating scientific knowledge, data and stakeholder perceptions for decision support |
title_full_unstemmed |
Integrating scientific knowledge, data and stakeholder perceptions for decision support |
title_sort |
integrating scientific knowledge, data and stakeholder perceptions for decision support |
publisher |
iEMSs |
publishDate |
2016 |
url |
https://espace.library.uq.edu.au/view/UQ:706858 |
geographic |
Arctic Patagonia |
geographic_facet |
Arctic Patagonia |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_relation |
issn:9788890357459 orcid:0000-0002-9297-8676 FP7-ENV-2013.6.1-1 |
_version_ |
1766348489671835648 |