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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ftunivcam:oai:www.repository.cam.ac.uk:1810/310043 2024-01-14T10:02:15+01:00 Benthic ecosystem cascade effects in Antarctica using Bayesian network inference Mitchell, Emily Whittle, Rowan Griffths, Huw 2020-10-16 application/pdf https://www.repository.cam.ac.uk/handle/1810/310043 https://doi.org/10.17863/CAM.57132 eng eng Nature Research http://dx.doi.org/10.1038/s42003-020-01310-8 Communications Biology https://doi.org/10.6084/m9.figshare.12214568.v1 https://www.repository.cam.ac.uk/handle/1810/310043 doi:10.17863/CAM.57132 Attribution 4.0 International (CC BY) http://creativecommons.org/licenses/by/4.0/ Antarctic Regions Bayes Theorem Ecosystem Geography Models Theoretical Article 2020 ftunivcam https://doi.org/10.17863/CAM.5713210.6084/m9.figshare.12214568.v1 2023-12-21T23:21:09Z 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 Protected Area. We demonstrate the importance of considering the community dynamics when planning ecosystem management. Natural Environment Research Council Independent Research Fellowship NE/S014756/1 to EGM. RJW and HJG are part of the British Antarctic Survey Polar Science for Planet Earth Programme; RJW in the BAS Palaeoenvironments, Ice-sheets and Climate Change team and HJG in the Biodiversity, Evolution and Adaptation team. Article in Journal/Newspaper Antarc* Antarctic Antarctica British Antarctic Survey South Orkney Islands Apollo - University of Cambridge Repository Antarctic South Orkney Islands ENVELOPE(-45.500,-45.500,-60.583,-60.583) |
institution |
Open Polar |
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Apollo - University of Cambridge Repository |
op_collection_id |
ftunivcam |
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 Protected Area. We demonstrate the importance of considering the community dynamics when planning ecosystem management. Natural Environment Research Council Independent Research Fellowship NE/S014756/1 to EGM. RJW and HJG are part of the British Antarctic Survey Polar Science for Planet Earth Programme; RJW in the BAS Palaeoenvironments, Ice-sheets and Climate Change team and HJG in the Biodiversity, Evolution and Adaptation team. |
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://www.repository.cam.ac.uk/handle/1810/310043 https://doi.org/10.17863/CAM.57132 |
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 British Antarctic Survey South Orkney Islands |
genre_facet |
Antarc* Antarctic Antarctica British Antarctic Survey South Orkney Islands |
op_relation |
https://doi.org/10.6084/m9.figshare.12214568.v1 https://www.repository.cam.ac.uk/handle/1810/310043 doi:10.17863/CAM.57132 |
op_rights |
Attribution 4.0 International (CC BY) http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.17863/CAM.5713210.6084/m9.figshare.12214568.v1 |
_version_ |
1788057176589205504 |