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...

Full description

Bibliographic Details
Main Author: Pinkernell, Stefan
Format: Article in Journal/Newspaper
Language:English
Published: PANGAEA 2017
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.878263
https://doi.pangaea.de/10.1594/PANGAEA.878263
id ftdatacite:10.1594/pangaea.878263
record_format openpolar
spelling 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
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158
spellingShingle 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
_version_ 1809752109807042560