Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ...
Species distribution models (SDM) are a widely used and well established method for biogeographical research on terrestrial organisms. Though already used for decades, experience with marine species is scarce especially for protists. More and more observation data, sometimes even aggregated over cen...
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ftdatacite:10.1594/pangaea.878263 2024-09-09T19:11:50+00:00 Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... Pinkernell, Stefan 2017 application/zip https://dx.doi.org/10.1594/pangaea.878263 https://doi.pangaea.de/10.1594/PANGAEA.878263 en eng PANGAEA Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 article Collection Supplementary Publication Series of Datasets 2017 ftdatacite https://doi.org/10.1594/pangaea.878263 2024-08-01T11:08:49Z Species distribution models (SDM) are a widely used and well established method for biogeographical research on terrestrial organisms. Though already used for decades, experience with marine species is scarce especially for protists. More and more observation data, sometimes even aggregated over centuries, become available also for the marine world, which together with high quality environmental data form a promising base for marine SDMs. In contrast to these SDMs, typical biogeographical studies of diatoms only considered observation data from a few transects. Species distribution methods were evaluated for marine pelagic diatoms in the Southern Ocean at the example of F. kerguelensis. Based on the experience with these models, SDMs for further species are built to study biogeographical patterns. The anthropogenic impact of climate change on these species is assessed by model projections on future scenarios for the end of this century. Besides observation data from public data repositories such as GBIF, ... : Supplement to: Pinkernell, Stefan (2017): Modeling the biogeography of pelagic diatoms of the Southern Ocean. University of Rostock, Germany ... Article in Journal/Newspaper Antarc* Antarctic Arctic Climate change Sea ice Southern Ocean DataCite Antarctic Arctic Southern Ocean |
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language |
English |
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Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
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Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Pinkernell, Stefan Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
topic_facet |
Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
description |
Species distribution models (SDM) are a widely used and well established method for biogeographical research on terrestrial organisms. Though already used for decades, experience with marine species is scarce especially for protists. More and more observation data, sometimes even aggregated over centuries, become available also for the marine world, which together with high quality environmental data form a promising base for marine SDMs. In contrast to these SDMs, typical biogeographical studies of diatoms only considered observation data from a few transects. Species distribution methods were evaluated for marine pelagic diatoms in the Southern Ocean at the example of F. kerguelensis. Based on the experience with these models, SDMs for further species are built to study biogeographical patterns. The anthropogenic impact of climate change on these species is assessed by model projections on future scenarios for the end of this century. Besides observation data from public data repositories such as GBIF, ... : Supplement to: Pinkernell, Stefan (2017): Modeling the biogeography of pelagic diatoms of the Southern Ocean. University of Rostock, Germany ... |
format |
Article in Journal/Newspaper |
author |
Pinkernell, Stefan |
author_facet |
Pinkernell, Stefan |
author_sort |
Pinkernell, Stefan |
title |
Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
title_short |
Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
title_full |
Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
title_fullStr |
Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
title_full_unstemmed |
Modeling the biogeography of pelagic diatoms of the Southern Ocean, links to model results and images ... |
title_sort |
modeling the biogeography of pelagic diatoms of the southern ocean, links to model results and images ... |
publisher |
PANGAEA |
publishDate |
2017 |
url |
https://dx.doi.org/10.1594/pangaea.878263 https://doi.pangaea.de/10.1594/PANGAEA.878263 |
geographic |
Antarctic Arctic Southern Ocean |
geographic_facet |
Antarctic Arctic Southern Ocean |
genre |
Antarc* Antarctic Arctic Climate change Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Arctic Climate change Sea ice Southern Ocean |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.878263 |
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1809752109807042560 |