Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline

Marine aquaculture production has lately experienced high economic growth, but also concerns related to production and environmental contamination. For the Atlantic salmon aquaculture industry, the ectoparasitic crustacean salmon louse (Lepeophtheirus salmonis) has become a major problem. A common m...

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Published in:Ecological Modelling
Main Authors: Moe, S. Jannicke, Hjermann, Dag Øystein, Ravagnan, Elisa, Bechmann, Renée K.
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/11250/2653053
https://doi.org/10.1016/j.ecolmodel.2019.108833
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spelling ftnorce:oai:norceresearch.brage.unit.no:11250/2653053 2024-06-23T07:51:25+00:00 Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline Moe, S. Jannicke Hjermann, Dag Øystein Ravagnan, Elisa Bechmann, Renée K. 2019 application/pdf https://hdl.handle.net/11250/2653053 https://doi.org/10.1016/j.ecolmodel.2019.108833 eng eng Norges forskningsråd: 234407 Ecological Modelling. 2019, 413 1-16. urn:issn:0304-3800 https://hdl.handle.net/11250/2653053 https://doi.org/10.1016/j.ecolmodel.2019.108833 cristin:1761856 CC BY-NC-ND 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ Ecological Modelling 413 1-16 Peer reviewed Journal article 2019 ftnorce https://doi.org/10.1016/j.ecolmodel.2019.108833 2024-05-27T03:02:36Z Marine aquaculture production has lately experienced high economic growth, but also concerns related to production and environmental contamination. For the Atlantic salmon aquaculture industry, the ectoparasitic crustacean salmon louse (Lepeophtheirus salmonis) has become a major problem. A common method to control populations of salmon lice within farm cages is treatment by various pharmaceuticals. One of the pesticides used in medicated feed for salmon is diflubenzuron (DFB), which acts as a chitin synthesis inhibitor and thereby interferes with the moulting stages during the development of this crustacean. However, DFB from fish feed may also affect non-target crustaceans such as the northern shrimp (Pandalus borealis), which is an economically and ecologically important species. Nevertheless, the actual risk posed by this chemical to shrimp populations in nature is largely unknown. Laboratory experiments have demonstrated that both larval and adult shrimp exposed to DFB through medicated fish feed have reduced survival compared to control. Moreover, the effects of DFB exposure are more severe under conditions of higher temperature and reduced pH (ocean acidification), which can be expected in a future environment. The aim of this study is to make the individual-level information from laboratory studies more relevant for risk assessment at the population level. We have developed a density-dependent age-structured population model representing a northern shrimp population located in a hypothetical Norwegian fjord containing a fish farm, under both ambient and future environments. Our model is based on thorough documentation of shrimp biology and toxicological effects from the laboratory experiments. Nevertheless, extrapolating the reported individual-level effects of DFB to the population level poses several challenges. Relevant information on shrimp populations in Norwegian fjords is sparse (such as abundances, survival and reproductive rates, and density-dependent processes). The degree of exposure to DFB at ... Article in Journal/Newspaper Atlantic salmon northern shrimp Ocean acidification Pandalus borealis NORCE vitenarkiv (Norwegian Research Centre) Ecological Modelling 413 108833
institution Open Polar
collection NORCE vitenarkiv (Norwegian Research Centre)
op_collection_id ftnorce
language English
description Marine aquaculture production has lately experienced high economic growth, but also concerns related to production and environmental contamination. For the Atlantic salmon aquaculture industry, the ectoparasitic crustacean salmon louse (Lepeophtheirus salmonis) has become a major problem. A common method to control populations of salmon lice within farm cages is treatment by various pharmaceuticals. One of the pesticides used in medicated feed for salmon is diflubenzuron (DFB), which acts as a chitin synthesis inhibitor and thereby interferes with the moulting stages during the development of this crustacean. However, DFB from fish feed may also affect non-target crustaceans such as the northern shrimp (Pandalus borealis), which is an economically and ecologically important species. Nevertheless, the actual risk posed by this chemical to shrimp populations in nature is largely unknown. Laboratory experiments have demonstrated that both larval and adult shrimp exposed to DFB through medicated fish feed have reduced survival compared to control. Moreover, the effects of DFB exposure are more severe under conditions of higher temperature and reduced pH (ocean acidification), which can be expected in a future environment. The aim of this study is to make the individual-level information from laboratory studies more relevant for risk assessment at the population level. We have developed a density-dependent age-structured population model representing a northern shrimp population located in a hypothetical Norwegian fjord containing a fish farm, under both ambient and future environments. Our model is based on thorough documentation of shrimp biology and toxicological effects from the laboratory experiments. Nevertheless, extrapolating the reported individual-level effects of DFB to the population level poses several challenges. Relevant information on shrimp populations in Norwegian fjords is sparse (such as abundances, survival and reproductive rates, and density-dependent processes). The degree of exposure to DFB at ...
format Article in Journal/Newspaper
author Moe, S. Jannicke
Hjermann, Dag Øystein
Ravagnan, Elisa
Bechmann, Renée K.
spellingShingle Moe, S. Jannicke
Hjermann, Dag Øystein
Ravagnan, Elisa
Bechmann, Renée K.
Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
author_facet Moe, S. Jannicke
Hjermann, Dag Øystein
Ravagnan, Elisa
Bechmann, Renée K.
author_sort Moe, S. Jannicke
title Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
title_short Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
title_full Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
title_fullStr Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
title_full_unstemmed Effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: Extrapolation from laboratory experiments to the risk of population decline
title_sort effects of an aquaculture pesticide (diflubenzuron) on non-target shrimp populations: extrapolation from laboratory experiments to the risk of population decline
publishDate 2019
url https://hdl.handle.net/11250/2653053
https://doi.org/10.1016/j.ecolmodel.2019.108833
genre Atlantic salmon
northern shrimp
Ocean acidification
Pandalus borealis
genre_facet Atlantic salmon
northern shrimp
Ocean acidification
Pandalus borealis
op_source Ecological Modelling
413
1-16
op_relation Norges forskningsråd: 234407
Ecological Modelling. 2019, 413 1-16.
urn:issn:0304-3800
https://hdl.handle.net/11250/2653053
https://doi.org/10.1016/j.ecolmodel.2019.108833
cristin:1761856
op_rights CC BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1016/j.ecolmodel.2019.108833
container_title Ecological Modelling
container_volume 413
container_start_page 108833
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