Data from: Patterns and controlling factors of species diversity in the Arctic Ocean
AIM: The Arctic Ocean is one of the last near-pristine regions on Earth and although human activities are expected to impact on Arctic ecosystems, we know very little about baseline patterns of Arctic Ocean biodiversity. This paper aims to describe Arctic Ocean-wide patterns of benthic biodiversity...
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Data Archiving and Networked Services (DANS)
2012
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Online Access: | https://doi.org/10.5061/dryad.9gc21 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::a8cef289c8ba1d53facb367aa6783436 2023-05-15T14:37:37+02:00 Data from: Patterns and controlling factors of species diversity in the Arctic Ocean Yasuhara, Moriaki Hunt, Gene Van Dijken, Gert Arrigo, Kevin R. Cronin, Thomas M. Wollenburg, Jutta E. 2012-01-01 https://doi.org/10.5061/dryad.9gc21 undefined unknown Data Archiving and Networked Services (DANS) http://dx.doi.org/10.5061/dryad.9gc21 https://dx.doi.org/10.5061/dryad.9gc21 lic_creative-commons oai:easy.dans.knaw.nl:easy-dataset:81752 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:81752 10.5061/dryad.9gc21 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care biodiversity deep sea depth diversity gradients ecosystem latitudinal diversity gradients macroecology meiobenthos shallow marine Arctic Ocean Modern Ostracoda Foraminifera envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2012 fttriple https://doi.org/10.5061/dryad.9gc21 2023-01-22T17:23:20Z AIM: The Arctic Ocean is one of the last near-pristine regions on Earth and although human activities are expected to impact on Arctic ecosystems, we know very little about baseline patterns of Arctic Ocean biodiversity. This paper aims to describe Arctic Ocean-wide patterns of benthic biodiversity and to explore factors related to the large-scale species diversity patterns. LOCATION: Arctic Ocean. METHODS: We used large ostracode and foraminiferal datasets to describe the biodiversity patterns and apply comprehensive ecological modelling to test the degree to which these patterns are potentially governed by environmental factors, including temperature, productivity, seasonality, ice cover, and others. To test environmental control of the observed diversity patterns, subsets of samples for which all environmental parameters were available were analysed with multiple regression and model averaging. RESULTS: Well-known negative latitudinal species diversity gradients (LSDGs) were found in metazoan Ostracoda, but the LSDGs were unimodal with an intermediate maximum with respect to latitude in protozoan foraminifera. Depth species diversity gradients were unimodal, with peaks in diversity shallower than those in other oceans. Our modelling results showed that several factors are significant predictors of diversity, but the significant predictors were different among shallow marine ostracodes, deep-sea ostracode, and deep-sea foraminifera. MAIN CONCLUSIONS: On the basis of these Arctic Ocean-wide comprehensive datasets, we document large-scale diversity patterns with respect to latitude and depth. Our modelling results suggest that the underlying mechanisms causing these species diversity patterns are unexpectedly complex. The environmental parameters of temperature, surface productivity, seasonality of productivity, salinity, and ice cover are not necessarily mutually exclusive as controlling factors of large-scale diversity patterns, depending on ecological preferences of taxa and oceanographic characteristics of ... Dataset Arctic Arctic Ocean Foraminifera* Unknown Arctic Arctic Ocean |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care biodiversity deep sea depth diversity gradients ecosystem latitudinal diversity gradients macroecology meiobenthos shallow marine Arctic Ocean Modern Ostracoda Foraminifera envir geo |
spellingShingle |
Life sciences medicine and health care biodiversity deep sea depth diversity gradients ecosystem latitudinal diversity gradients macroecology meiobenthos shallow marine Arctic Ocean Modern Ostracoda Foraminifera envir geo Yasuhara, Moriaki Hunt, Gene Van Dijken, Gert Arrigo, Kevin R. Cronin, Thomas M. Wollenburg, Jutta E. Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
topic_facet |
Life sciences medicine and health care biodiversity deep sea depth diversity gradients ecosystem latitudinal diversity gradients macroecology meiobenthos shallow marine Arctic Ocean Modern Ostracoda Foraminifera envir geo |
description |
AIM: The Arctic Ocean is one of the last near-pristine regions on Earth and although human activities are expected to impact on Arctic ecosystems, we know very little about baseline patterns of Arctic Ocean biodiversity. This paper aims to describe Arctic Ocean-wide patterns of benthic biodiversity and to explore factors related to the large-scale species diversity patterns. LOCATION: Arctic Ocean. METHODS: We used large ostracode and foraminiferal datasets to describe the biodiversity patterns and apply comprehensive ecological modelling to test the degree to which these patterns are potentially governed by environmental factors, including temperature, productivity, seasonality, ice cover, and others. To test environmental control of the observed diversity patterns, subsets of samples for which all environmental parameters were available were analysed with multiple regression and model averaging. RESULTS: Well-known negative latitudinal species diversity gradients (LSDGs) were found in metazoan Ostracoda, but the LSDGs were unimodal with an intermediate maximum with respect to latitude in protozoan foraminifera. Depth species diversity gradients were unimodal, with peaks in diversity shallower than those in other oceans. Our modelling results showed that several factors are significant predictors of diversity, but the significant predictors were different among shallow marine ostracodes, deep-sea ostracode, and deep-sea foraminifera. MAIN CONCLUSIONS: On the basis of these Arctic Ocean-wide comprehensive datasets, we document large-scale diversity patterns with respect to latitude and depth. Our modelling results suggest that the underlying mechanisms causing these species diversity patterns are unexpectedly complex. The environmental parameters of temperature, surface productivity, seasonality of productivity, salinity, and ice cover are not necessarily mutually exclusive as controlling factors of large-scale diversity patterns, depending on ecological preferences of taxa and oceanographic characteristics of ... |
format |
Dataset |
author |
Yasuhara, Moriaki Hunt, Gene Van Dijken, Gert Arrigo, Kevin R. Cronin, Thomas M. Wollenburg, Jutta E. |
author_facet |
Yasuhara, Moriaki Hunt, Gene Van Dijken, Gert Arrigo, Kevin R. Cronin, Thomas M. Wollenburg, Jutta E. |
author_sort |
Yasuhara, Moriaki |
title |
Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
title_short |
Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
title_full |
Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
title_fullStr |
Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
title_full_unstemmed |
Data from: Patterns and controlling factors of species diversity in the Arctic Ocean |
title_sort |
data from: patterns and controlling factors of species diversity in the arctic ocean |
publisher |
Data Archiving and Networked Services (DANS) |
publishDate |
2012 |
url |
https://doi.org/10.5061/dryad.9gc21 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Foraminifera* |
genre_facet |
Arctic Arctic Ocean Foraminifera* |
op_source |
oai:easy.dans.knaw.nl:easy-dataset:81752 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:81752 10.5061/dryad.9gc21 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.9gc21 https://dx.doi.org/10.5061/dryad.9gc21 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.9gc21 |
_version_ |
1766309841249239040 |