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Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model
Ecosystem models require the specification of initial conditions, and these initial conditions have some level of uncertainty. It is important to allow for uncertainty when presenting model results, because it reduces the risk of errant or non-representative results. It is crucial that model results...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292022/ https://www.ncbi.nlm.nih.gov/pubmed/32551197 http://dx.doi.org/10.7717/peerj.9254 |
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author | McGregor, Vidette L. Fulton, Elizabeth A. Dunn, Matthew R. |
author_facet | McGregor, Vidette L. Fulton, Elizabeth A. Dunn, Matthew R. |
author_sort | McGregor, Vidette L. |
collection | PubMed |
description | Ecosystem models require the specification of initial conditions, and these initial conditions have some level of uncertainty. It is important to allow for uncertainty when presenting model results, because it reduces the risk of errant or non-representative results. It is crucial that model results are presented as an envelope of what is likely, rather than presenting only one instance. We perturbed the initial conditions of the Chatham Rise Atlantis model and analysed the effect of this uncertainty on the model’s dynamics by comparing the model outputs resulting from many initial condition perturbations. At the species group level, we found some species groups were more sensitive than others, with lower trophic level species groups generally more sensitive to perturbations of the initial conditions. We recommend testing for robust system dynamics by assessing the consistency of ecosystem indicators in response to fishing pressure under perturbed initial conditions. In any set of scenarios explored using complex end-to-end ecosystem models, we recommend that associated uncertainty analysis be included with perturbations of the initial conditions. |
format | Online Article Text |
id | pubmed-7292022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72920222020-06-17 Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model McGregor, Vidette L. Fulton, Elizabeth A. Dunn, Matthew R. PeerJ Aquaculture, Fisheries and Fish Science Ecosystem models require the specification of initial conditions, and these initial conditions have some level of uncertainty. It is important to allow for uncertainty when presenting model results, because it reduces the risk of errant or non-representative results. It is crucial that model results are presented as an envelope of what is likely, rather than presenting only one instance. We perturbed the initial conditions of the Chatham Rise Atlantis model and analysed the effect of this uncertainty on the model’s dynamics by comparing the model outputs resulting from many initial condition perturbations. At the species group level, we found some species groups were more sensitive than others, with lower trophic level species groups generally more sensitive to perturbations of the initial conditions. We recommend testing for robust system dynamics by assessing the consistency of ecosystem indicators in response to fishing pressure under perturbed initial conditions. In any set of scenarios explored using complex end-to-end ecosystem models, we recommend that associated uncertainty analysis be included with perturbations of the initial conditions. PeerJ Inc. 2020-06-03 /pmc/articles/PMC7292022/ /pubmed/32551197 http://dx.doi.org/10.7717/peerj.9254 Text en © 2020 McGregor et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Aquaculture, Fisheries and Fish Science McGregor, Vidette L. Fulton, Elizabeth A. Dunn, Matthew R. Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title | Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title_full | Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title_fullStr | Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title_full_unstemmed | Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title_short | Addressing initialisation uncertainty for end-to-end ecosystem models: application to the Chatham Rise Atlantis model |
title_sort | addressing initialisation uncertainty for end-to-end ecosystem models: application to the chatham rise atlantis model |
topic | Aquaculture, Fisheries and Fish Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292022/ https://www.ncbi.nlm.nih.gov/pubmed/32551197 http://dx.doi.org/10.7717/peerj.9254 |
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