Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...

Large-scale patterns in species diversity and community composition are associated with environmental gradients, but the implications of these patterns for food-web structure are still unclear. Here, we investigated how spatial patterns in food-web structure are associated with environmental gradien...

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Bibliographic Details
Main Authors: Kortsch, Susanne, Primicerio, Raul, Aschan, Michaela, Lind, Sigrid, Dolgov, Andrey V., Planque, Benjamin
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.k04q2kd
https://datadryad.org/stash/dataset/doi:10.5061/dryad.k04q2kd
id ftdatacite:10.5061/dryad.k04q2kd
record_format openpolar
spelling ftdatacite:10.5061/dryad.k04q2kd 2024-02-04T09:58:15+01:00 Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ... Kortsch, Susanne Primicerio, Raul Aschan, Michaela Lind, Sigrid Dolgov, Andrey V. Planque, Benjamin 2018 https://dx.doi.org/10.5061/dryad.k04q2kd https://datadryad.org/stash/dataset/doi:10.5061/dryad.k04q2kd en eng Dryad https://dx.doi.org/10.1111/ecog.03443 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Food-web structure 2004-2007 Dataset dataset 2018 ftdatacite https://doi.org/10.5061/dryad.k04q2kd10.1111/ecog.03443 2024-01-05T01:14:15Z Large-scale patterns in species diversity and community composition are associated with environmental gradients, but the implications of these patterns for food-web structure are still unclear. Here, we investigated how spatial patterns in food-web structure are associated with environmental gradients in the Barents Sea, a highly productive shelf sea of the Arctic Ocean. We compared food webs from 25 subregions in the Barents Sea and examined spatial correlations among food-web metrics, and between metrics and spatial variability in seawater temperature, bottom depth and number of days with ice cover. Several food-web metrics were positively associated with seawater temperature: connectance, level of omnivory, clustering, cannibalism, and high variability in generalism, while other food-web metrics such as modularity and vulnerability were positively associated with sea ice and negatively with temperature. Food-web metrics positively associated with habitat heterogeneity were: number of species, link ... : Barents Sea food websThe excel file contains 25 food webs of the Barents Sea. Sheet 1: Species names; Sheet 2. Subregion-by-species matrix; Sheet 3: Pairwise list of trophospecies interactions; Sheet 4: The Barents Sea metaweb. ... Dataset Arctic Arctic Ocean Barents Sea Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Barents Sea
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Food-web structure
2004-2007
spellingShingle Food-web structure
2004-2007
Kortsch, Susanne
Primicerio, Raul
Aschan, Michaela
Lind, Sigrid
Dolgov, Andrey V.
Planque, Benjamin
Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
topic_facet Food-web structure
2004-2007
description Large-scale patterns in species diversity and community composition are associated with environmental gradients, but the implications of these patterns for food-web structure are still unclear. Here, we investigated how spatial patterns in food-web structure are associated with environmental gradients in the Barents Sea, a highly productive shelf sea of the Arctic Ocean. We compared food webs from 25 subregions in the Barents Sea and examined spatial correlations among food-web metrics, and between metrics and spatial variability in seawater temperature, bottom depth and number of days with ice cover. Several food-web metrics were positively associated with seawater temperature: connectance, level of omnivory, clustering, cannibalism, and high variability in generalism, while other food-web metrics such as modularity and vulnerability were positively associated with sea ice and negatively with temperature. Food-web metrics positively associated with habitat heterogeneity were: number of species, link ... : Barents Sea food websThe excel file contains 25 food webs of the Barents Sea. Sheet 1: Species names; Sheet 2. Subregion-by-species matrix; Sheet 3: Pairwise list of trophospecies interactions; Sheet 4: The Barents Sea metaweb. ...
format Dataset
author Kortsch, Susanne
Primicerio, Raul
Aschan, Michaela
Lind, Sigrid
Dolgov, Andrey V.
Planque, Benjamin
author_facet Kortsch, Susanne
Primicerio, Raul
Aschan, Michaela
Lind, Sigrid
Dolgov, Andrey V.
Planque, Benjamin
author_sort Kortsch, Susanne
title Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
title_short Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
title_full Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
title_fullStr Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
title_full_unstemmed Data from: Food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
title_sort data from: food-web structure varies along environmental gradients in a high-latitude marine ecosystem ...
publisher Dryad
publishDate 2018
url https://dx.doi.org/10.5061/dryad.k04q2kd
https://datadryad.org/stash/dataset/doi:10.5061/dryad.k04q2kd
geographic Arctic
Arctic Ocean
Barents Sea
geographic_facet Arctic
Arctic Ocean
Barents Sea
genre Arctic
Arctic Ocean
Barents Sea
Sea ice
genre_facet Arctic
Arctic Ocean
Barents Sea
Sea ice
op_relation https://dx.doi.org/10.1111/ecog.03443
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.k04q2kd10.1111/ecog.03443
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