Cascading effects of mass mortality events in Arctic marine communities
Mass mortality events caused by pulse anthropogenic or environmental perturbations (e.g., extreme weather, toxic spills or epizootics) severely reduce the abundance of a population in a short time. The frequency and impact of these events are likely to increase across the globe. Studies on how such...
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Online Access: | http://hdl.handle.net/11250/2494877 https://doi.org/10.1111/gcb.13344 |
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ftnorskinstvf:oai:niva.brage.unit.no:11250/2494877 2023-05-15T14:58:33+02:00 Cascading effects of mass mortality events in Arctic marine communities Langangen, Øystein Ohlberger, Jan Stige, Leif C. Durant, Joel M. Ravagnan, Elisa Stenseth, Nils C. Hjermann, Dag Ø. 2017 application/pdf http://hdl.handle.net/11250/2494877 https://doi.org/10.1111/gcb.13344 eng eng Wiley Norges forskningsråd: 179569 Global Change Biology. 2017, 23 (1), 283-292. urn:issn:1354-1013 http://hdl.handle.net/11250/2494877 https://doi.org/10.1111/gcb.13344 cristin:1374616 Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no © 2016 The Authors CC-BY-NC 283-292 23 Global Change Biology 1 Journal article Peer reviewed 2017 ftnorskinstvf https://doi.org/10.1111/gcb.13344 2023-02-21T08:45:06Z Mass mortality events caused by pulse anthropogenic or environmental perturbations (e.g., extreme weather, toxic spills or epizootics) severely reduce the abundance of a population in a short time. The frequency and impact of these events are likely to increase across the globe. Studies on how such events may affect ecological communities of inter-acting species are scarce. By combining a multispecies Gompertz model with a Bayesian state-space framework, we quantify community-level effects of a mass mortality event in a single species. We present a case study on a community of fish and zooplankton in the Barents Sea to illustrate how a mass mortality event of different intensities affecting the lower trophic level (krill) may propagate to higher trophic levels (capelin and cod). This approach is especially valuable for assessing community-level effects of potential anthropogenic-driven mass mortality events, owing to the ability to account for uncertainty in the assessed impact due to uncertainty about the ecological dynamics. We hence quantify how the assessed impact of a mass mortality event depends on the degree of precaution considered. We suggest that this approach can be useful for assessing the possible detrimental outcomes of toxic spills, for example oil spills, in relatively simple communities such as often found in the Arctic, a region under increasing influence of human activities due to increased land and sea use. publishedVersion Article in Journal/Newspaper Arctic Barents Sea Zooplankton Norwegian Institute for Water research: NIVA Open Access Archive (Brage) Arctic Barents Sea Global Change Biology 23 1 283 292 |
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Open Polar |
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Norwegian Institute for Water research: NIVA Open Access Archive (Brage) |
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ftnorskinstvf |
language |
English |
description |
Mass mortality events caused by pulse anthropogenic or environmental perturbations (e.g., extreme weather, toxic spills or epizootics) severely reduce the abundance of a population in a short time. The frequency and impact of these events are likely to increase across the globe. Studies on how such events may affect ecological communities of inter-acting species are scarce. By combining a multispecies Gompertz model with a Bayesian state-space framework, we quantify community-level effects of a mass mortality event in a single species. We present a case study on a community of fish and zooplankton in the Barents Sea to illustrate how a mass mortality event of different intensities affecting the lower trophic level (krill) may propagate to higher trophic levels (capelin and cod). This approach is especially valuable for assessing community-level effects of potential anthropogenic-driven mass mortality events, owing to the ability to account for uncertainty in the assessed impact due to uncertainty about the ecological dynamics. We hence quantify how the assessed impact of a mass mortality event depends on the degree of precaution considered. We suggest that this approach can be useful for assessing the possible detrimental outcomes of toxic spills, for example oil spills, in relatively simple communities such as often found in the Arctic, a region under increasing influence of human activities due to increased land and sea use. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Langangen, Øystein Ohlberger, Jan Stige, Leif C. Durant, Joel M. Ravagnan, Elisa Stenseth, Nils C. Hjermann, Dag Ø. |
spellingShingle |
Langangen, Øystein Ohlberger, Jan Stige, Leif C. Durant, Joel M. Ravagnan, Elisa Stenseth, Nils C. Hjermann, Dag Ø. Cascading effects of mass mortality events in Arctic marine communities |
author_facet |
Langangen, Øystein Ohlberger, Jan Stige, Leif C. Durant, Joel M. Ravagnan, Elisa Stenseth, Nils C. Hjermann, Dag Ø. |
author_sort |
Langangen, Øystein |
title |
Cascading effects of mass mortality events in Arctic marine communities |
title_short |
Cascading effects of mass mortality events in Arctic marine communities |
title_full |
Cascading effects of mass mortality events in Arctic marine communities |
title_fullStr |
Cascading effects of mass mortality events in Arctic marine communities |
title_full_unstemmed |
Cascading effects of mass mortality events in Arctic marine communities |
title_sort |
cascading effects of mass mortality events in arctic marine communities |
publisher |
Wiley |
publishDate |
2017 |
url |
http://hdl.handle.net/11250/2494877 https://doi.org/10.1111/gcb.13344 |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Barents Sea Zooplankton |
genre_facet |
Arctic Barents Sea Zooplankton |
op_source |
283-292 23 Global Change Biology 1 |
op_relation |
Norges forskningsråd: 179569 Global Change Biology. 2017, 23 (1), 283-292. urn:issn:1354-1013 http://hdl.handle.net/11250/2494877 https://doi.org/10.1111/gcb.13344 cristin:1374616 |
op_rights |
Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no © 2016 The Authors |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.1111/gcb.13344 |
container_title |
Global Change Biology |
container_volume |
23 |
container_issue |
1 |
container_start_page |
283 |
op_container_end_page |
292 |
_version_ |
1766330689128497152 |