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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Bibliographic Details
Main Authors: Yasuhara, Moriaki, Hunt, Gene, Van Dijken, Gert, Arrigo, Kevin R., Cronin, Thomas M., Wollenburg, Jutta E.
Format: Dataset
Language:English
Published: Dryad 2012
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.9gc21
https://datadryad.org/stash/dataset/doi:10.5061/dryad.9gc21
id ftdatacite:10.5061/dryad.9gc21
record_format openpolar
spelling ftdatacite:10.5061/dryad.9gc21 2024-02-04T09:57:17+01:00 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 https://dx.doi.org/10.5061/dryad.9gc21 https://datadryad.org/stash/dataset/doi:10.5061/dryad.9gc21 en eng Dryad https://dx.doi.org/10.1111/j.1365-2699.2012.02758.x Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 shallow marine Deep sea Foraminifera latitudinal diversity gradients meiobenthos depth diversity gradients Ostracoda Modern Dataset dataset 2012 ftdatacite https://doi.org/10.5061/dryad.9gc2110.1111/j.1365-2699.2012.02758.x 2024-01-05T01:14:15Z 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, ... : Whole ostracod diversity dataset used for Fig. 1Whole ostracod diversity dataset used for Fig. 1. DP: water depth (m), LAT: latitude, LON: longitude, SR: species richness, E100: species richness rarefied to 100 individuals.OstraAll100specData.txtWhole foraminiferal diversity dataset used for Fig. 1Whole foraminiferal diversity dataset used for Fig. 1. DP: water depth (m), LAT: latitude, LON: longitude, SR: species richness.ForamAllData.txtDeep-sea foraminiferal dataset used for the statistical modelingDeep-sea foraminiferal dataset used for the statistical modeling. SR: species richness, MDS 1: multidimensional scaling first axis, MDS 2: multidimensional scaling second axis, DP: water depth (m), RC: region code, BT: bottom water temperature, SA: salinity, SP: seasonality of productivity, IC: number of ice-free days per year, P: POC flux, DCA 1: detrended correspondence analysis first axis, DCA 2: detrended correspondence analysis second axis, LAT: latitude, LON: longitude.ForamMRegD400JB.txtDeep-sea ostracod ... Dataset Arctic Arctic Ocean Foraminifera* DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic shallow marine
Deep sea
Foraminifera
latitudinal diversity gradients
meiobenthos
depth diversity gradients
Ostracoda
Modern
spellingShingle shallow marine
Deep sea
Foraminifera
latitudinal diversity gradients
meiobenthos
depth diversity gradients
Ostracoda
Modern
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 shallow marine
Deep sea
Foraminifera
latitudinal diversity gradients
meiobenthos
depth diversity gradients
Ostracoda
Modern
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, ... : Whole ostracod diversity dataset used for Fig. 1Whole ostracod diversity dataset used for Fig. 1. DP: water depth (m), LAT: latitude, LON: longitude, SR: species richness, E100: species richness rarefied to 100 individuals.OstraAll100specData.txtWhole foraminiferal diversity dataset used for Fig. 1Whole foraminiferal diversity dataset used for Fig. 1. DP: water depth (m), LAT: latitude, LON: longitude, SR: species richness.ForamAllData.txtDeep-sea foraminiferal dataset used for the statistical modelingDeep-sea foraminiferal dataset used for the statistical modeling. SR: species richness, MDS 1: multidimensional scaling first axis, MDS 2: multidimensional scaling second axis, DP: water depth (m), RC: region code, BT: bottom water temperature, SA: salinity, SP: seasonality of productivity, IC: number of ice-free days per year, P: POC flux, DCA 1: detrended correspondence analysis first axis, DCA 2: detrended correspondence analysis second axis, LAT: latitude, LON: longitude.ForamMRegD400JB.txtDeep-sea ostracod ...
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 Dryad
publishDate 2012
url https://dx.doi.org/10.5061/dryad.9gc21
https://datadryad.org/stash/dataset/doi: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_relation https://dx.doi.org/10.1111/j.1365-2699.2012.02758.x
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.9gc2110.1111/j.1365-2699.2012.02758.x
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