Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ...
Antarctic sea-floor communities are unique, and more closely resemble those of the Palaeozoic than equivalent contemporary habitats. However, comparatively little is known about the mechanisms and interactions that structure these communities or how they might respond to anthropogenic change. In ord...
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ftdatacite:10.17863/cam.57132 2024-02-04T09:54:53+01:00 Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... Mitchell, Emily Whittle, Rowan Griffths, Huw 2020 https://dx.doi.org/10.17863/cam.57132 https://www.repository.cam.ac.uk/handle/1810/310043 en eng Nature Research https://dx.doi.org/10.6084/m9.figshare.12214568.v1 open.access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 http://purl.org/coar/access_right/c_abf2 Antarctic Regions Bayes Theorem Ecosystem Geography Models, Theoretical Article ScholarlyArticle JournalArticle article-journal 2020 ftdatacite https://doi.org/10.17863/cam.5713210.6084/m9.figshare.12214568.v1 2024-01-05T09:50:49Z Antarctic sea-floor communities are unique, and more closely resemble those of the Palaeozoic than equivalent contemporary habitats. However, comparatively little is known about the mechanisms and interactions that structure these communities or how they might respond to anthropogenic change. In order to investigate likely consequences of a decline or removal of key taxa on community dynamics we use Bayesian network inference to reconstruct ecological networks and infer changes of taxon removal. Here we show that sponges have the greatest influence on the dynamics of Antarctic benthic communities. When we removed sponges from the network, the abundances of all major taxa reduced by a mean of 42%, significantly more than changes of substrate. This study is the first time the cascade effects of removing key ecosystem structuring organisms has been inferred from statistical analyses of data from Antarctica. The South Orkney Islands, Antarctica, is an important ecosystem, as part of the locality is a Marine ... Article in Journal/Newspaper Antarc* Antarctic Antarctica South Orkney Islands DataCite Metadata Store (German National Library of Science and Technology) Antarctic South Orkney Islands ENVELOPE(-45.500,-45.500,-60.583,-60.583) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Antarctic Regions Bayes Theorem Ecosystem Geography Models, Theoretical |
spellingShingle |
Antarctic Regions Bayes Theorem Ecosystem Geography Models, Theoretical Mitchell, Emily Whittle, Rowan Griffths, Huw Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
topic_facet |
Antarctic Regions Bayes Theorem Ecosystem Geography Models, Theoretical |
description |
Antarctic sea-floor communities are unique, and more closely resemble those of the Palaeozoic than equivalent contemporary habitats. However, comparatively little is known about the mechanisms and interactions that structure these communities or how they might respond to anthropogenic change. In order to investigate likely consequences of a decline or removal of key taxa on community dynamics we use Bayesian network inference to reconstruct ecological networks and infer changes of taxon removal. Here we show that sponges have the greatest influence on the dynamics of Antarctic benthic communities. When we removed sponges from the network, the abundances of all major taxa reduced by a mean of 42%, significantly more than changes of substrate. This study is the first time the cascade effects of removing key ecosystem structuring organisms has been inferred from statistical analyses of data from Antarctica. The South Orkney Islands, Antarctica, is an important ecosystem, as part of the locality is a Marine ... |
format |
Article in Journal/Newspaper |
author |
Mitchell, Emily Whittle, Rowan Griffths, Huw |
author_facet |
Mitchell, Emily Whittle, Rowan Griffths, Huw |
author_sort |
Mitchell, Emily |
title |
Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
title_short |
Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
title_full |
Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
title_fullStr |
Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
title_full_unstemmed |
Benthic ecosystem cascade effects in Antarctica using Bayesian network inference ... |
title_sort |
benthic ecosystem cascade effects in antarctica using bayesian network inference ... |
publisher |
Nature Research |
publishDate |
2020 |
url |
https://dx.doi.org/10.17863/cam.57132 https://www.repository.cam.ac.uk/handle/1810/310043 |
long_lat |
ENVELOPE(-45.500,-45.500,-60.583,-60.583) |
geographic |
Antarctic South Orkney Islands |
geographic_facet |
Antarctic South Orkney Islands |
genre |
Antarc* Antarctic Antarctica South Orkney Islands |
genre_facet |
Antarc* Antarctic Antarctica South Orkney Islands |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.12214568.v1 |
op_rights |
open.access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 http://purl.org/coar/access_right/c_abf2 |
op_doi |
https://doi.org/10.17863/cam.5713210.6084/m9.figshare.12214568.v1 |
_version_ |
1789958714397032448 |