Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files
This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under developm...
Main Authors: | , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2016
|
Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.856105 https://doi.org/10.1594/PANGAEA.856105 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.856105 |
---|---|
record_format |
openpolar |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.856105 2023-05-15T14:03:05+02:00 Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina LATITUDE: -70.000000 * LONGITUDE: -38.000000 2016-12-22 text/tab-separated-values, 16 data points https://doi.pangaea.de/10.1594/PANGAEA.856105 https://doi.org/10.1594/PANGAEA.856105 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.856105 https://doi.org/10.1594/PANGAEA.856105 Access constraints: access rights needed info:eu-repo/semantics/restrictedAccess Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven Supplement to: Jerosch, Kerstin; Pehlke, Hendrik; Weber, Lukas; Teschke, Katharina; Heidemann, Teresa; Scharf, Frauke Katharina (in prep.): Comparing the surface and the bottom of the Southern Ocean using multivariate cluster analysis: regional effects of environmental parameters. File format File name File size Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Uniform resource locator/link to file Weddell_Sea Dataset 2016 ftpangaea https://doi.org/10.1594/PANGAEA.856105 2023-01-20T09:06:40Z This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, canonical-correlation analysis and multidimensional scaling. Canonical-correlation analysis identifies the influencing factors in the different parts of the cove. Several methods for the identification of the optimum number of clusters have been tested. For the seabed 8 and 12 clusters were identified as reasonable numbers for clustering the Weddell Sea. For the sea surface the numbers 8 and 13 and for the top/bottom analysis 8 and 3 were identified, respectively. Additionally, the results of 20 clusters are presented for the three alternatives offering the first small scale environmental regionalization of the Weddell Sea. Especially the results of 12 clusters identify marine-influenced regions which can be clearly separated from those determined by the geological catchment area and the ones dominated by river discharge. Dataset Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea PANGAEA - Data Publisher for Earth & Environmental Science Antarctic Arctic Southern Ocean Weddell Weddell Sea ENVELOPE(-38.000000,-38.000000,-70.000000,-70.000000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
File format File name File size Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Uniform resource locator/link to file Weddell_Sea |
spellingShingle |
File format File name File size Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Uniform resource locator/link to file Weddell_Sea Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
topic_facet |
File format File name File size Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Uniform resource locator/link to file Weddell_Sea |
description |
This study subdivides the Weddell Sea, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, canonical-correlation analysis and multidimensional scaling. Canonical-correlation analysis identifies the influencing factors in the different parts of the cove. Several methods for the identification of the optimum number of clusters have been tested. For the seabed 8 and 12 clusters were identified as reasonable numbers for clustering the Weddell Sea. For the sea surface the numbers 8 and 13 and for the top/bottom analysis 8 and 3 were identified, respectively. Additionally, the results of 20 clusters are presented for the three alternatives offering the first small scale environmental regionalization of the Weddell Sea. Especially the results of 12 clusters identify marine-influenced regions which can be clearly separated from those determined by the geological catchment area and the ones dominated by river discharge. |
format |
Dataset |
author |
Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina |
author_facet |
Jerosch, Kerstin Pehlke, Hendrik Weber, Lukas Teschke, Katharina Heidemann, Teresa Scharf, Frauke Katharina |
author_sort |
Jerosch, Kerstin |
title |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
title_short |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
title_full |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
title_fullStr |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
title_full_unstemmed |
Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files |
title_sort |
sea surface and the sea floor regionalization of the southern ocean by multivariate cluster analysis, links to arcgis project files |
publisher |
PANGAEA |
publishDate |
2016 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.856105 https://doi.org/10.1594/PANGAEA.856105 |
op_coverage |
LATITUDE: -70.000000 * LONGITUDE: -38.000000 |
long_lat |
ENVELOPE(-38.000000,-38.000000,-70.000000,-70.000000) |
geographic |
Antarctic Arctic Southern Ocean Weddell Weddell Sea |
geographic_facet |
Antarctic Arctic Southern Ocean Weddell Weddell Sea |
genre |
Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea |
genre_facet |
Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean Weddell Sea |
op_source |
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven Supplement to: Jerosch, Kerstin; Pehlke, Hendrik; Weber, Lukas; Teschke, Katharina; Heidemann, Teresa; Scharf, Frauke Katharina (in prep.): Comparing the surface and the bottom of the Southern Ocean using multivariate cluster analysis: regional effects of environmental parameters. |
op_relation |
https://doi.pangaea.de/10.1594/PANGAEA.856105 https://doi.org/10.1594/PANGAEA.856105 |
op_rights |
Access constraints: access rights needed info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.856105 |
_version_ |
1766273597624549376 |