Cargando…
Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea
Different ecosystem models often provide contrasting predictions (model uncertainty), which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349338/ https://www.ncbi.nlm.nih.gov/pubmed/30689653 http://dx.doi.org/10.1371/journal.pone.0211320 |
_version_ | 1783390259070894080 |
---|---|
author | Bauer, Barbara Horbowy, Jan Rahikainen, Mika Kulatska, Nataliia Müller-Karulis, Bärbel Tomczak, Maciej T. Bartolino, Valerio |
author_facet | Bauer, Barbara Horbowy, Jan Rahikainen, Mika Kulatska, Nataliia Müller-Karulis, Bärbel Tomczak, Maciej T. Bartolino, Valerio |
author_sort | Bauer, Barbara |
collection | PubMed |
description | Different ecosystem models often provide contrasting predictions (model uncertainty), which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact management advice for EBFM in the central Baltic Sea. We compare how much three models (EwE, Gadget and a multispecies stock production model) differ in 1) their estimates of fishing mortality rates (Fs) satisfying alternative hypothetical management scenario objectives and 2) the outcomes of those scenarios in terms of performance indicators (spawning stock biomasses, catches, profits). Uncertainty in future environmental conditions affecting fish was taken into account by considering two seal population growth scenarios and two nutrient load scenarios. Differences in the development of the stocks, yields and profits exist among the models but the general patterns are also sufficiently similar to appear promising in the context of strategic fishery advice. Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. This suggests that ecosystem models can be used to provide quantitative advice only after more targeted research is conducted to gain a deeper understanding into the relationship between trophic links and fish population dynamics in the Baltic Sea. |
format | Online Article Text |
id | pubmed-6349338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63493382019-02-15 Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea Bauer, Barbara Horbowy, Jan Rahikainen, Mika Kulatska, Nataliia Müller-Karulis, Bärbel Tomczak, Maciej T. Bartolino, Valerio PLoS One Research Article Different ecosystem models often provide contrasting predictions (model uncertainty), which is perceived to be a major challenge impeding their use to support ecosystem-based fisheries management (EBFM). The focus of this manuscript is to examine the extent of model disagreements which could impact management advice for EBFM in the central Baltic Sea. We compare how much three models (EwE, Gadget and a multispecies stock production model) differ in 1) their estimates of fishing mortality rates (Fs) satisfying alternative hypothetical management scenario objectives and 2) the outcomes of those scenarios in terms of performance indicators (spawning stock biomasses, catches, profits). Uncertainty in future environmental conditions affecting fish was taken into account by considering two seal population growth scenarios and two nutrient load scenarios. Differences in the development of the stocks, yields and profits exist among the models but the general patterns are also sufficiently similar to appear promising in the context of strategic fishery advice. Thus, we suggest that disagreements among the ecosystem models will not impede their use for providing strategic advice on how to reach management objectives that go beyond the traditional maximum yield targets and for informing on the potential consequences of pursuing such objectives. This is especially true for scenarios aiming at exploiting forage fish sprat and herring, for which the agreement was the largest among our models. However, the quantitative response to altering fishing pressure differed among models. This was due to the diverse environmental covariates and the different number of trophic relationships and their functional forms considered in the models. This suggests that ecosystem models can be used to provide quantitative advice only after more targeted research is conducted to gain a deeper understanding into the relationship between trophic links and fish population dynamics in the Baltic Sea. Public Library of Science 2019-01-28 /pmc/articles/PMC6349338/ /pubmed/30689653 http://dx.doi.org/10.1371/journal.pone.0211320 Text en © 2019 Bauer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bauer, Barbara Horbowy, Jan Rahikainen, Mika Kulatska, Nataliia Müller-Karulis, Bärbel Tomczak, Maciej T. Bartolino, Valerio Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title_full | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title_fullStr | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title_full_unstemmed | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title_short | Model uncertainty and simulated multispecies fisheries management advice in the Baltic Sea |
title_sort | model uncertainty and simulated multispecies fisheries management advice in the baltic sea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349338/ https://www.ncbi.nlm.nih.gov/pubmed/30689653 http://dx.doi.org/10.1371/journal.pone.0211320 |
work_keys_str_mv | AT bauerbarbara modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT horbowyjan modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT rahikainenmika modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT kulatskanataliia modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT mullerkarulisbarbel modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT tomczakmaciejt modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea AT bartolinovalerio modeluncertaintyandsimulatedmultispeciesfisheriesmanagementadviceinthebalticsea |