Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions
Species are redistributing globally in response to climate warming, impacting ecosystem functions and services. In the Barents Sea, poleward expansion of boreal species and a decreased abundance of Arctic species are causing a rapid borealization of the Arctic communities. This borealization might h...
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.924367 https://doi.org/10.1594/PANGAEA.924367 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.924367 2024-10-13T14:03:47+00:00 Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions Pecuchet, Laurene Blanchet, Marie-Anne Frainer, André Husson, Bérengère Jørgensen, Lis Lindal Kortsch, Susanne Primicerio, Raul LATITUDE: 75.000000 * LONGITUDE: 26.000000 2020 application/zip, 95.1 kBytes https://doi.pangaea.de/10.1594/PANGAEA.924367 https://doi.org/10.1594/PANGAEA.924367 en eng PANGAEA Pecuchet, Laurene; Blanchet, Marie-Anne; Frainer, André; Husson, Bérengère; Jørgensen, Lis Lindal; Kortsch, Susanne; Primicerio, Raul (2020): Novel feeding interactions amplify the impact of species redistribution on an Arctic food web. Global Change Biology, 26(9), 4894-4906, https://doi.org/10.1111/gcb.15196 https://doi.pangaea.de/10.1594/PANGAEA.924367 https://doi.org/10.1594/PANGAEA.924367 CC-BY-NC-4.0: Creative Commons Attribution-NonCommercial 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Barents Barents Sea Food web predictions trait dataset 2020 ftpangaea https://doi.org/10.1594/PANGAEA.92436710.1111/gcb.15196 2024-10-02T00:42:44Z Species are redistributing globally in response to climate warming, impacting ecosystem functions and services. In the Barents Sea, poleward expansion of boreal species and a decreased abundance of Arctic species are causing a rapid borealization of the Arctic communities. This borealization might have profound consequences on the Arctic food web by creating novel feeding interactions between previously non co‐occurring species. An early identification of new feeding links is crucial to predict their ecological impact. However, detection by traditional approaches, including stomach content and isotope analyses, although fundamental, cannot cope with the speed of change observed in the region, nor with the urgency of understanding the consequences of species redistribution for the marine ecosystem. In this study, we used an extensive food web (metaweb) with nearly 2,500 documented feeding links between 239 taxa coupled with a trait data set to predict novel feeding interactions and to quantify their potential impact on Arctic food web structure. We found that feeding interactions are largely determined by the body size of interacting species, although species foraging habitat and metabolic type are also important predictors. Further, we found that all boreal species will have at least one potential resource in the Arctic region should they redistribute therein. During 2014-2017, 11 boreal species were observed in the Arctic region of the Barents Sea. These incoming species, which are all generalists, change the structural properties of the Arctic food web by increasing connectance and decreasing modularity. In addition, these boreal species are predicted to initiate novel feeding interactions with the Arctic residents, which might amplify their impact on Arctic food web structure affecting ecosystem functioning and vulnerability. Under the ongoing species redistribution caused by environmental change, we propose merging a trait‐based approach with ecological network analysis to efficiently predict the impacts of ... Dataset Arctic Arctic Barents Sea PANGAEA - Data Publisher for Earth & Environmental Science Arctic Barents Sea ENVELOPE(26.000000,26.000000,75.000000,75.000000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Barents Barents Sea Food web predictions trait |
spellingShingle |
Barents Barents Sea Food web predictions trait Pecuchet, Laurene Blanchet, Marie-Anne Frainer, André Husson, Bérengère Jørgensen, Lis Lindal Kortsch, Susanne Primicerio, Raul Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
topic_facet |
Barents Barents Sea Food web predictions trait |
description |
Species are redistributing globally in response to climate warming, impacting ecosystem functions and services. In the Barents Sea, poleward expansion of boreal species and a decreased abundance of Arctic species are causing a rapid borealization of the Arctic communities. This borealization might have profound consequences on the Arctic food web by creating novel feeding interactions between previously non co‐occurring species. An early identification of new feeding links is crucial to predict their ecological impact. However, detection by traditional approaches, including stomach content and isotope analyses, although fundamental, cannot cope with the speed of change observed in the region, nor with the urgency of understanding the consequences of species redistribution for the marine ecosystem. In this study, we used an extensive food web (metaweb) with nearly 2,500 documented feeding links between 239 taxa coupled with a trait data set to predict novel feeding interactions and to quantify their potential impact on Arctic food web structure. We found that feeding interactions are largely determined by the body size of interacting species, although species foraging habitat and metabolic type are also important predictors. Further, we found that all boreal species will have at least one potential resource in the Arctic region should they redistribute therein. During 2014-2017, 11 boreal species were observed in the Arctic region of the Barents Sea. These incoming species, which are all generalists, change the structural properties of the Arctic food web by increasing connectance and decreasing modularity. In addition, these boreal species are predicted to initiate novel feeding interactions with the Arctic residents, which might amplify their impact on Arctic food web structure affecting ecosystem functioning and vulnerability. Under the ongoing species redistribution caused by environmental change, we propose merging a trait‐based approach with ecological network analysis to efficiently predict the impacts of ... |
format |
Dataset |
author |
Pecuchet, Laurene Blanchet, Marie-Anne Frainer, André Husson, Bérengère Jørgensen, Lis Lindal Kortsch, Susanne Primicerio, Raul |
author_facet |
Pecuchet, Laurene Blanchet, Marie-Anne Frainer, André Husson, Bérengère Jørgensen, Lis Lindal Kortsch, Susanne Primicerio, Raul |
author_sort |
Pecuchet, Laurene |
title |
Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
title_short |
Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
title_full |
Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
title_fullStr |
Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
title_full_unstemmed |
Barents Sea Food web, meta-traits and Rcode for predicting feeding interactions |
title_sort |
barents sea food web, meta-traits and rcode for predicting feeding interactions |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.924367 https://doi.org/10.1594/PANGAEA.924367 |
op_coverage |
LATITUDE: 75.000000 * LONGITUDE: 26.000000 |
long_lat |
ENVELOPE(26.000000,26.000000,75.000000,75.000000) |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Arctic Barents Sea |
genre_facet |
Arctic Arctic Barents Sea |
op_relation |
Pecuchet, Laurene; Blanchet, Marie-Anne; Frainer, André; Husson, Bérengère; Jørgensen, Lis Lindal; Kortsch, Susanne; Primicerio, Raul (2020): Novel feeding interactions amplify the impact of species redistribution on an Arctic food web. Global Change Biology, 26(9), 4894-4906, https://doi.org/10.1111/gcb.15196 https://doi.pangaea.de/10.1594/PANGAEA.924367 https://doi.org/10.1594/PANGAEA.924367 |
op_rights |
CC-BY-NC-4.0: Creative Commons Attribution-NonCommercial 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.92436710.1111/gcb.15196 |
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1812808922760740864 |