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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Published in:Fisheries Oceanography
Main Authors: Sivel, Elliot Manuarii, Planque, Benjamin, Lindstrøm, Ulf Ove, Yoccoz, Nigel
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3029833
https://doi.org/10.1111/fog.12604
id ftimr:oai:imr.brage.unit.no:11250/3029833
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spelling 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
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id 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
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