Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem

Abstract Aim Assess the spatial and temporal turnover of bentho‐demersal marine fauna by integrating ecological metrics at the community and food web levels and evaluate their main environmental and anthropogenic drivers. Location Barents Sea. Method We analysed data of benthic and bentho‐pelagic fi...

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Published in:Diversity and Distributions
Main Authors: Pecuchet, Laurene, Jørgensen, Lis Lindal, Dolgov, Andrey V., Eriksen, Elena, Husson, Berengere, Skern‐Mauritzen, Mette, Primicerio, Raul
Other Authors: von der Heyden, Sophie, Norges Forskningsråd
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
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Online Access:http://dx.doi.org/10.1111/ddi.13580
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13580
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.13580
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spelling crwiley:10.1111/ddi.13580 2024-06-02T08:02:48+00:00 Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem Pecuchet, Laurene Jørgensen, Lis Lindal Dolgov, Andrey V. Eriksen, Elena Husson, Berengere Skern‐Mauritzen, Mette Primicerio, Raul von der Heyden, Sophie Norges Forskningsråd 2022 http://dx.doi.org/10.1111/ddi.13580 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13580 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.13580 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Diversity and Distributions volume 28, issue 12, page 2503-2520 ISSN 1366-9516 1472-4642 journal-article 2022 crwiley https://doi.org/10.1111/ddi.13580 2024-05-03T10:35:42Z Abstract Aim Assess the spatial and temporal turnover of bentho‐demersal marine fauna by integrating ecological metrics at the community and food web levels and evaluate their main environmental and anthropogenic drivers. Location Barents Sea. Method We analysed data of benthic and bentho‐pelagic fish and megabenthic invertebrates caught in the Barents Sea ecosystem survey in August–September 2009–2017 to characterize the spatial and temporal variability of bentho‐demersal communities and food webs. We used a trait dataset and highly resolved bentho‐demersal food web to calculate community and food web metrics in space and time. We spatially clustered the community and food web based on their properties using archetypal analysis and investigated their co‐variation with environmental and fishing pressure using (hierarchical) redundancy analysis. Result The community and food web metrics partitioned the Barents Sea into four sub‐regions where different pressures act on the bentho‐demersal fauna, such as sea ice loss and fisheries. Multiple community metrics (e.g. mean body length and trophic level) varied along an environmental gradient of annual mean sea bottom temperature, trawling intensity and ice‐cover, whereas multiple food web metrics (e.g. nestedness and connectance) varied along an environmental gradient of depth and sediment composition. Communities had higher biomass‐weighted variability in body size and omnivory values in areas where the Atlantic and Arctic water masses mix. Several food web and community metrics co‐varied (e.g. food chain length and mean trophic level). We found no clear temporal trends in the ecological metrics in any of the four sub‐regions, but the metrics had large inter‐annual variability with some local minima or maxima coinciding with high sea temperature and ice‐cover anomalies. Conclusion Analyses at the community and food web level are seldom integrated in ecological studies, while this integration gives complementary information to assess patterns and drivers of ecosystem ... Article in Journal/Newspaper Arctic Barents Sea Sea ice Wiley Online Library Arctic Barents Sea Diversity and Distributions 28 12 2503 2520
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Aim Assess the spatial and temporal turnover of bentho‐demersal marine fauna by integrating ecological metrics at the community and food web levels and evaluate their main environmental and anthropogenic drivers. Location Barents Sea. Method We analysed data of benthic and bentho‐pelagic fish and megabenthic invertebrates caught in the Barents Sea ecosystem survey in August–September 2009–2017 to characterize the spatial and temporal variability of bentho‐demersal communities and food webs. We used a trait dataset and highly resolved bentho‐demersal food web to calculate community and food web metrics in space and time. We spatially clustered the community and food web based on their properties using archetypal analysis and investigated their co‐variation with environmental and fishing pressure using (hierarchical) redundancy analysis. Result The community and food web metrics partitioned the Barents Sea into four sub‐regions where different pressures act on the bentho‐demersal fauna, such as sea ice loss and fisheries. Multiple community metrics (e.g. mean body length and trophic level) varied along an environmental gradient of annual mean sea bottom temperature, trawling intensity and ice‐cover, whereas multiple food web metrics (e.g. nestedness and connectance) varied along an environmental gradient of depth and sediment composition. Communities had higher biomass‐weighted variability in body size and omnivory values in areas where the Atlantic and Arctic water masses mix. Several food web and community metrics co‐varied (e.g. food chain length and mean trophic level). We found no clear temporal trends in the ecological metrics in any of the four sub‐regions, but the metrics had large inter‐annual variability with some local minima or maxima coinciding with high sea temperature and ice‐cover anomalies. Conclusion Analyses at the community and food web level are seldom integrated in ecological studies, while this integration gives complementary information to assess patterns and drivers of ecosystem ...
author2 von der Heyden, Sophie
Norges Forskningsråd
format Article in Journal/Newspaper
author Pecuchet, Laurene
Jørgensen, Lis Lindal
Dolgov, Andrey V.
Eriksen, Elena
Husson, Berengere
Skern‐Mauritzen, Mette
Primicerio, Raul
spellingShingle Pecuchet, Laurene
Jørgensen, Lis Lindal
Dolgov, Andrey V.
Eriksen, Elena
Husson, Berengere
Skern‐Mauritzen, Mette
Primicerio, Raul
Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
author_facet Pecuchet, Laurene
Jørgensen, Lis Lindal
Dolgov, Andrey V.
Eriksen, Elena
Husson, Berengere
Skern‐Mauritzen, Mette
Primicerio, Raul
author_sort Pecuchet, Laurene
title Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
title_short Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
title_full Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
title_fullStr Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
title_full_unstemmed Spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
title_sort spatio‐temporal turnover and drivers of bentho‐demersal community and food web structure in a high‐latitude marine ecosystem
publisher Wiley
publishDate 2022
url http://dx.doi.org/10.1111/ddi.13580
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13580
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.13580
geographic Arctic
Barents Sea
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Barents Sea
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Barents Sea
Sea ice
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Barents Sea
Sea ice
op_source Diversity and Distributions
volume 28, issue 12, page 2503-2520
ISSN 1366-9516 1472-4642
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1111/ddi.13580
container_title Diversity and Distributions
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