Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models
Our understanding of how environmental change in the Southern Ocean will affect marine diversity, habitats and distribution remain limited. The habitats and distributions of Southern Ocean cephalopods are generally poorly understood, and yet such knowledge is necessary for research and conservation...
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2016
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Online Access: | https://doi.org/10.1007/s10021-015-9926-1 http://ecite.utas.edu.au/105962 |
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ftunivtasecite:oai:ecite.utas.edu.au:105962 2023-05-15T14:03:26+02:00 Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models Xavier, JC Raymond, B Jones, DC Griffiths, H 2016 https://doi.org/10.1007/s10021-015-9926-1 http://ecite.utas.edu.au/105962 en eng Springer New York LLC http://dx.doi.org/10.1007/s10021-015-9926-1 Xavier, JC and Raymond, B and Jones, DC and Griffiths, H, Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models, Ecosystems, 19, (2) pp. 220-247. ISSN 1432-9840 (2016) [Refereed Article] http://ecite.utas.edu.au/105962 Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Refereed Article PeerReviewed 2016 ftunivtasecite https://doi.org/10.1007/s10021-015-9926-1 2019-12-13T22:07:07Z Our understanding of how environmental change in the Southern Ocean will affect marine diversity, habitats and distribution remain limited. The habitats and distributions of Southern Ocean cephalopods are generally poorly understood, and yet such knowledge is necessary for research and conservation management purposes, as well as for assessing the potential impacts of environmental change. We used net-catch data to develop habitat suitability models for 15 of the most common cephalopods in the Southern Ocean. Using modeled habitat suitability, we assessed favorable areas for each species and examined the relationships between species distribution and environmental parameters. The results compared favorably with the known ecology of these species and with spatial patterns from diet studies of squid predators. The individual habitat suitability models were overlaid to generate a "hotspot" index of species richness, which showed higher numbers of squid species associated with various fronts of the Antarctic circumpolar current. Finally, we reviewed the overall distribution of these species and their importance in the diet of Southern Ocean predators. There is a need for further studies to explore the potential impacts of future climate change on Southern Ocean squid. Article in Journal/Newspaper Antarc* Antarctic Southern Ocean eCite UTAS (University of Tasmania) Antarctic Southern Ocean The Antarctic Ecosystems 19 2 220 247 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
spellingShingle |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Xavier, JC Raymond, B Jones, DC Griffiths, H Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
topic_facet |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
description |
Our understanding of how environmental change in the Southern Ocean will affect marine diversity, habitats and distribution remain limited. The habitats and distributions of Southern Ocean cephalopods are generally poorly understood, and yet such knowledge is necessary for research and conservation management purposes, as well as for assessing the potential impacts of environmental change. We used net-catch data to develop habitat suitability models for 15 of the most common cephalopods in the Southern Ocean. Using modeled habitat suitability, we assessed favorable areas for each species and examined the relationships between species distribution and environmental parameters. The results compared favorably with the known ecology of these species and with spatial patterns from diet studies of squid predators. The individual habitat suitability models were overlaid to generate a "hotspot" index of species richness, which showed higher numbers of squid species associated with various fronts of the Antarctic circumpolar current. Finally, we reviewed the overall distribution of these species and their importance in the diet of Southern Ocean predators. There is a need for further studies to explore the potential impacts of future climate change on Southern Ocean squid. |
format |
Article in Journal/Newspaper |
author |
Xavier, JC Raymond, B Jones, DC Griffiths, H |
author_facet |
Xavier, JC Raymond, B Jones, DC Griffiths, H |
author_sort |
Xavier, JC |
title |
Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
title_short |
Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
title_full |
Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
title_fullStr |
Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
title_full_unstemmed |
Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models |
title_sort |
biogeography of cephalopods in the southern ocean using habitat suitability prediction models |
publisher |
Springer New York LLC |
publishDate |
2016 |
url |
https://doi.org/10.1007/s10021-015-9926-1 http://ecite.utas.edu.au/105962 |
geographic |
Antarctic Southern Ocean The Antarctic |
geographic_facet |
Antarctic Southern Ocean The Antarctic |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_relation |
http://dx.doi.org/10.1007/s10021-015-9926-1 Xavier, JC and Raymond, B and Jones, DC and Griffiths, H, Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models, Ecosystems, 19, (2) pp. 220-247. ISSN 1432-9840 (2016) [Refereed Article] http://ecite.utas.edu.au/105962 |
op_doi |
https://doi.org/10.1007/s10021-015-9926-1 |
container_title |
Ecosystems |
container_volume |
19 |
container_issue |
2 |
container_start_page |
220 |
op_container_end_page |
247 |
_version_ |
1766274077917446144 |