Modelling chance and necessity in natural systems
Nearly 30 years ago, emerged the concept of deterministic chaos. With it came sensitivity to initial conditions, nonlinearities, and strange attractors. This constituted a paradigm shift that profoundly altered how numerical modellers approached dynamic systems. It also provided an opportunity to re...
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2020
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Online Access: | https://archimer.ifremer.fr/doc/00585/69686/67759.pdf https://doi.org/10.1093/icesjms/fsz173 https://archimer.ifremer.fr/doc/00585/69686/ |
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ftarchimer:oai:archimer.ifremer.fr:69686 2023-05-15T15:38:57+02:00 Modelling chance and necessity in natural systems Planque, Benjamin Mullon, Christian 2020-07 application/pdf https://archimer.ifremer.fr/doc/00585/69686/67759.pdf https://doi.org/10.1093/icesjms/fsz173 https://archimer.ifremer.fr/doc/00585/69686/ eng eng Oxford University Press (OUP) https://archimer.ifremer.fr/doc/00585/69686/67759.pdf doi:10.1093/icesjms/fsz173 https://archimer.ifremer.fr/doc/00585/69686/ info:eu-repo/semantics/openAccess restricted use Ices Journal Of Marine Science (1054-3139) (Oxford University Press (OUP)), 2020-07 , Vol. 77 , N. 4 , P. 1573-1588 chaos theory constraints nonlinear systems participatory modelling uncertainty viability theory text Publication info:eu-repo/semantics/article 2020 ftarchimer https://doi.org/10.1093/icesjms/fsz173 2021-09-23T20:33:33Z Nearly 30 years ago, emerged the concept of deterministic chaos. With it came sensitivity to initial conditions, nonlinearities, and strange attractors. This constituted a paradigm shift that profoundly altered how numerical modellers approached dynamic systems. It also provided an opportunity to resolve a situation of mutual misunderstanding between scientists and non-scientists about uncertainties and predictability in natural systems. Our proposition is that this issue can be addressed in an original way which involves modelling based on the principles of chance and necessity (CaN). We outline the conceptual and mathematical principles of CaN models and present an application of the model to the Barents Sea food-web. Because CaN models rely on concepts easily grasped by all actors, because they are explicit about knowns and unknowns and because the interpretation of their results is simple without being prescriptive, they can be used in a context of participatory management. We propose that, three decades after the emergence of chaos theories, CaN can be a practical step to reconcile scientists and non-scientists around the modelling of structurally and dynamically complex natural systems, and significantly contribute to ecosystem-based fisheries management. Article in Journal/Newspaper Barents Sea Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Barents Sea ICES Journal of Marine Science 77 4 1573 1588 |
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Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
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ftarchimer |
language |
English |
topic |
chaos theory constraints nonlinear systems participatory modelling uncertainty viability theory |
spellingShingle |
chaos theory constraints nonlinear systems participatory modelling uncertainty viability theory Planque, Benjamin Mullon, Christian Modelling chance and necessity in natural systems |
topic_facet |
chaos theory constraints nonlinear systems participatory modelling uncertainty viability theory |
description |
Nearly 30 years ago, emerged the concept of deterministic chaos. With it came sensitivity to initial conditions, nonlinearities, and strange attractors. This constituted a paradigm shift that profoundly altered how numerical modellers approached dynamic systems. It also provided an opportunity to resolve a situation of mutual misunderstanding between scientists and non-scientists about uncertainties and predictability in natural systems. Our proposition is that this issue can be addressed in an original way which involves modelling based on the principles of chance and necessity (CaN). We outline the conceptual and mathematical principles of CaN models and present an application of the model to the Barents Sea food-web. Because CaN models rely on concepts easily grasped by all actors, because they are explicit about knowns and unknowns and because the interpretation of their results is simple without being prescriptive, they can be used in a context of participatory management. We propose that, three decades after the emergence of chaos theories, CaN can be a practical step to reconcile scientists and non-scientists around the modelling of structurally and dynamically complex natural systems, and significantly contribute to ecosystem-based fisheries management. |
format |
Article in Journal/Newspaper |
author |
Planque, Benjamin Mullon, Christian |
author_facet |
Planque, Benjamin Mullon, Christian |
author_sort |
Planque, Benjamin |
title |
Modelling chance and necessity in natural systems |
title_short |
Modelling chance and necessity in natural systems |
title_full |
Modelling chance and necessity in natural systems |
title_fullStr |
Modelling chance and necessity in natural systems |
title_full_unstemmed |
Modelling chance and necessity in natural systems |
title_sort |
modelling chance and necessity in natural systems |
publisher |
Oxford University Press (OUP) |
publishDate |
2020 |
url |
https://archimer.ifremer.fr/doc/00585/69686/67759.pdf https://doi.org/10.1093/icesjms/fsz173 https://archimer.ifremer.fr/doc/00585/69686/ |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Ices Journal Of Marine Science (1054-3139) (Oxford University Press (OUP)), 2020-07 , Vol. 77 , N. 4 , P. 1573-1588 |
op_relation |
https://archimer.ifremer.fr/doc/00585/69686/67759.pdf doi:10.1093/icesjms/fsz173 https://archimer.ifremer.fr/doc/00585/69686/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1093/icesjms/fsz173 |
container_title |
ICES Journal of Marine Science |
container_volume |
77 |
container_issue |
4 |
container_start_page |
1573 |
op_container_end_page |
1588 |
_version_ |
1766370392896700416 |