Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability
Temporal variability in abundance and composition of species in marine ecosystems results from a combination of internal processes, external drivers, and stochasticity. One way to explore the temporal variability in an ecosystem is through temporal stability, measured using the inverse of the coeffi...
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Online Access: | https://hdl.handle.net/11250/3029833 https://doi.org/10.1111/fog.12604 |
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ftimr:oai:imr.brage.unit.no:11250/3029833 2023-05-15T15:38:33+02:00 Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability Sivel, Elliot Manuarii Planque, Benjamin Lindstrøm, Ulf Ove Yoccoz, Nigel 2022 application/pdf https://hdl.handle.net/11250/3029833 https://doi.org/10.1111/fog.12604 eng eng Norges forskningsråd: 276730 Fisheries Oceanography. 2022, . urn:issn:1054-6006 https://hdl.handle.net/11250/3029833 https://doi.org/10.1111/fog.12604 cristin:2058635 15 Fisheries Oceanography Peer reviewed Journal article 2022 ftimr https://doi.org/10.1111/fog.12604 2022-11-09T23:42:39Z Temporal variability in abundance and composition of species in marine ecosystems results from a combination of internal processes, external drivers, and stochasticity. One way to explore the temporal variability in an ecosystem is through temporal stability, measured using the inverse of the coefficient of variation for biomass of single species. The effect of temperature and fisheries on the variability of the Barents Sea food web is still poorly understood. To address this question, we simulate the possible dynamics of Barents Sea food web under different temperature and fishery scenarios using a simple food-web model (Non-Deterministic Network Dynamic [NDND]). The NDND model, which is based on chance and necessity (CaN), defines the state space of the ecosystem using its structural constraints (necessity) and explores it stochastically (chance). The effects of temperature and fisheries on stability are explored both separately and combined. The simulation results suggest that increasing temperature has a negative effect on species biomass and increasing fisheries triggers compensatory dynamics of fish species. There is a major intra-scenario variability in temporal stability, while individual scenarios of temperature and fisheries display a weak negative impact and no effect on stability, respectively. However, combined scenarios indicate that fisheries amplify the effects of temperature on stability, while increasing temperature leads to a shift from synergistic to antagonistic effects between these two drivers. publishedVersion Article in Journal/Newspaper Barents Sea Institute for Marine Research: Brage IMR Barents Sea Fisheries Oceanography 32 1 106 120 |
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Open Polar |
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Institute for Marine Research: Brage IMR |
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ftimr |
language |
English |
description |
Temporal variability in abundance and composition of species in marine ecosystems results from a combination of internal processes, external drivers, and stochasticity. One way to explore the temporal variability in an ecosystem is through temporal stability, measured using the inverse of the coefficient of variation for biomass of single species. The effect of temperature and fisheries on the variability of the Barents Sea food web is still poorly understood. To address this question, we simulate the possible dynamics of Barents Sea food web under different temperature and fishery scenarios using a simple food-web model (Non-Deterministic Network Dynamic [NDND]). The NDND model, which is based on chance and necessity (CaN), defines the state space of the ecosystem using its structural constraints (necessity) and explores it stochastically (chance). The effects of temperature and fisheries on stability are explored both separately and combined. The simulation results suggest that increasing temperature has a negative effect on species biomass and increasing fisheries triggers compensatory dynamics of fish species. There is a major intra-scenario variability in temporal stability, while individual scenarios of temperature and fisheries display a weak negative impact and no effect on stability, respectively. However, combined scenarios indicate that fisheries amplify the effects of temperature on stability, while increasing temperature leads to a shift from synergistic to antagonistic effects between these two drivers. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Sivel, Elliot Manuarii Planque, Benjamin Lindstrøm, Ulf Ove Yoccoz, Nigel |
spellingShingle |
Sivel, Elliot Manuarii Planque, Benjamin Lindstrøm, Ulf Ove Yoccoz, Nigel Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
author_facet |
Sivel, Elliot Manuarii Planque, Benjamin Lindstrøm, Ulf Ove Yoccoz, Nigel |
author_sort |
Sivel, Elliot Manuarii |
title |
Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
title_short |
Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
title_full |
Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
title_fullStr |
Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
title_full_unstemmed |
Combined effects of temperature and fishing mortality on the Barents Sea ecosystem stability |
title_sort |
combined effects of temperature and fishing mortality on the barents sea ecosystem stability |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3029833 https://doi.org/10.1111/fog.12604 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
15 Fisheries Oceanography |
op_relation |
Norges forskningsråd: 276730 Fisheries Oceanography. 2022, . urn:issn:1054-6006 https://hdl.handle.net/11250/3029833 https://doi.org/10.1111/fog.12604 cristin:2058635 |
op_doi |
https://doi.org/10.1111/fog.12604 |
container_title |
Fisheries Oceanography |
container_volume |
32 |
container_issue |
1 |
container_start_page |
106 |
op_container_end_page |
120 |
_version_ |
1766369587992985600 |