Identifying main interactions in marine predator-prey networks of the Bay of Biscay
Identifying the role that environmental factors and biotic interactions play in species distribution can be essential to better understand and predict how ecosystems will respond to changing environmental conditions. This study aimed at disentangling the assemblage of the pelagic predator–prey commu...
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Oxford University Press
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ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/219257 2024-01-14T10:06:49+01:00 Identifying main interactions in marine predator-prey networks of the Bay of Biscay Astarloa, Amaia Louzao, Maite Boyra, Gillermo Martinez, Udane Rubio, Anna Irigoien, Xabier Hui, Francis Chust, Guillem application/pdf http://hdl.handle.net/1885/219257 https://doi.org/10.1093/icesjms/fsz140 https://openresearch-repository.anu.edu.au/bitstream/1885/219257/3/01_Astarloa_Identifying_main_interactions_2019.pdf.jpg en_AU eng Oxford University Press 1054-3139 http://hdl.handle.net/1885/219257 doi:10.1093/icesjms/fsz140 https://openresearch-repository.anu.edu.au/bitstream/1885/219257/3/01_Astarloa_Identifying_main_interactions_2019.pdf.jpg © International Council for the Exploration of the Sea 2019 ICES Journal of Marine Science Bay of Biscay co-occurrence patterns environmental drivers joint species distribution models positive associations predator–prey networks species interactions Journal article ftanucanberra https://doi.org/10.1093/icesjms/fsz140 2023-12-15T09:36:55Z Identifying the role that environmental factors and biotic interactions play in species distribution can be essential to better understand and predict how ecosystems will respond to changing environmental conditions. This study aimed at disentangling the assemblage of the pelagic predator–prey community by identifying interspecific associations and their main drivers. For this purpose, we applied the joint species distribution modelling approach, JSDM, to the co-occurrence patterns of both prey and top predator communities obtained from JUVENA surveys during 2013–2016 in the Bay of Biscay. Results showed that the co-occurrence patterns of top predators and prey were driven by a combination of environmental and biotic factors, which highlighted the importance of considering both components to fully understand the community structure. In addition, results also revealed that many biotic interactions, such as schooling in prey (e.g. anchovy–sardine), local enhancement/facilitation in predators (e.g. Cory’s shearwater–fin whale), and predation between predator–prey species (e.g. northern gannet–horse mackerel), were led by positive associations, although predator avoidance behaviour was also suggested between negatively associated species (e.g. striped dolphin–blue whiting). The identification of interspecific associations can therefore provide insights on the functioning of predators–prey network and help advance towards an ecosystem-based management This research was funded by the Basque Government (Department of Agriculture, Fishing, and Food Policy) and the Spanish Ministry of Economy, Industry, and Competitiveness through the CHALLENGES project (CTM2013-47032-R). A. Astarloa has benefited from a Basque Government scholarship (PRE_2016_1_0134) and M. Louzao was funded by the Ramo´n y Cajal (RYC-2012-09897) researcher programme of the Spanish Ministry of Economy, Industry, and Competitiveness. JUVENA survey series was sponsored since 2003 by the “Viceconsejerı´a de Agricultura, Pesca y Polı´ticas ... Article in Journal/Newspaper Fin whale Australian National University: ANU Digital Collections ICES Journal of Marine Science 76 7 2247 2259 |
institution |
Open Polar |
collection |
Australian National University: ANU Digital Collections |
op_collection_id |
ftanucanberra |
language |
English |
topic |
Bay of Biscay co-occurrence patterns environmental drivers joint species distribution models positive associations predator–prey networks species interactions |
spellingShingle |
Bay of Biscay co-occurrence patterns environmental drivers joint species distribution models positive associations predator–prey networks species interactions Astarloa, Amaia Louzao, Maite Boyra, Gillermo Martinez, Udane Rubio, Anna Irigoien, Xabier Hui, Francis Chust, Guillem Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
topic_facet |
Bay of Biscay co-occurrence patterns environmental drivers joint species distribution models positive associations predator–prey networks species interactions |
description |
Identifying the role that environmental factors and biotic interactions play in species distribution can be essential to better understand and predict how ecosystems will respond to changing environmental conditions. This study aimed at disentangling the assemblage of the pelagic predator–prey community by identifying interspecific associations and their main drivers. For this purpose, we applied the joint species distribution modelling approach, JSDM, to the co-occurrence patterns of both prey and top predator communities obtained from JUVENA surveys during 2013–2016 in the Bay of Biscay. Results showed that the co-occurrence patterns of top predators and prey were driven by a combination of environmental and biotic factors, which highlighted the importance of considering both components to fully understand the community structure. In addition, results also revealed that many biotic interactions, such as schooling in prey (e.g. anchovy–sardine), local enhancement/facilitation in predators (e.g. Cory’s shearwater–fin whale), and predation between predator–prey species (e.g. northern gannet–horse mackerel), were led by positive associations, although predator avoidance behaviour was also suggested between negatively associated species (e.g. striped dolphin–blue whiting). The identification of interspecific associations can therefore provide insights on the functioning of predators–prey network and help advance towards an ecosystem-based management This research was funded by the Basque Government (Department of Agriculture, Fishing, and Food Policy) and the Spanish Ministry of Economy, Industry, and Competitiveness through the CHALLENGES project (CTM2013-47032-R). A. Astarloa has benefited from a Basque Government scholarship (PRE_2016_1_0134) and M. Louzao was funded by the Ramo´n y Cajal (RYC-2012-09897) researcher programme of the Spanish Ministry of Economy, Industry, and Competitiveness. JUVENA survey series was sponsored since 2003 by the “Viceconsejerı´a de Agricultura, Pesca y Polı´ticas ... |
format |
Article in Journal/Newspaper |
author |
Astarloa, Amaia Louzao, Maite Boyra, Gillermo Martinez, Udane Rubio, Anna Irigoien, Xabier Hui, Francis Chust, Guillem |
author_facet |
Astarloa, Amaia Louzao, Maite Boyra, Gillermo Martinez, Udane Rubio, Anna Irigoien, Xabier Hui, Francis Chust, Guillem |
author_sort |
Astarloa, Amaia |
title |
Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
title_short |
Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
title_full |
Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
title_fullStr |
Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
title_full_unstemmed |
Identifying main interactions in marine predator-prey networks of the Bay of Biscay |
title_sort |
identifying main interactions in marine predator-prey networks of the bay of biscay |
publisher |
Oxford University Press |
url |
http://hdl.handle.net/1885/219257 https://doi.org/10.1093/icesjms/fsz140 https://openresearch-repository.anu.edu.au/bitstream/1885/219257/3/01_Astarloa_Identifying_main_interactions_2019.pdf.jpg |
genre |
Fin whale |
genre_facet |
Fin whale |
op_source |
ICES Journal of Marine Science |
op_relation |
1054-3139 http://hdl.handle.net/1885/219257 doi:10.1093/icesjms/fsz140 https://openresearch-repository.anu.edu.au/bitstream/1885/219257/3/01_Astarloa_Identifying_main_interactions_2019.pdf.jpg |
op_rights |
© International Council for the Exploration of the Sea 2019 |
op_doi |
https://doi.org/10.1093/icesjms/fsz140 |
container_title |
ICES Journal of Marine Science |
container_volume |
76 |
container_issue |
7 |
container_start_page |
2247 |
op_container_end_page |
2259 |
_version_ |
1788061246083301376 |