PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas
Profound environmental changes, such as drastic sea-ice decline, leave large-scale ecological footprints on the distribution and composition of marine biota in the Arctic. Currently, the impact of such stressors is not sufficiently understood due to the lack of pan-Arctic data that allow for estimat...
Published in: | Earth System Science Data |
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Copernicus GmbH
2024
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ftopenagrar:oai:www.openagrar.de:openagrar_mods_00094602 2024-09-15T17:54:11+00:00 PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas Piepenburg, Dieter Brey, Thomas Teschke, Katharina Dannheim, Jennifer Kloss, Paul Rehage, Marianne Hansen, Miriam L. S. Kraan, Casper 2024 https://doi.org/10.5194/essd-16-1177-2024 https://www.openagrar.de/receive/openagrar_mods_00094602 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00058095/dn067754.pdf eng eng Copernicus GmbH Copernicus Publ. Earth System Science Data : the data publishing journal -- Earth Syst. Sci. Data -- 1866-3508 -- 1866-3516 -- 2442009-8 -- 2475469-9 -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 https://doi.org/10.5194/essd-16-1177-2024 https://www.openagrar.de/receive/openagrar_mods_00094602 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00058095/dn067754.pdf https://creativecommons.org/licenses/by/4.0/ public info:eu-repo/semantics/openAccess article Text ddc:550 ddc:500 article Text doc-type:article 2024 ftopenagrar https://doi.org/10.5194/essd-16-1177-2024 2024-07-08T23:56:24Z Profound environmental changes, such as drastic sea-ice decline, leave large-scale ecological footprints on the distribution and composition of marine biota in the Arctic. Currently, the impact of such stressors is not sufficiently understood due to the lack of pan-Arctic data that allow for estimating ecological baselines as well as modelling current and forecast potential changes in benthic biodiversity and ecosystem functioning. Here, we introduce the PAN-Arctic data collection of benthic BIOtas (PANABIO) and discuss its timeliness, potential, and details of its further development. The data collection contains individual datasets with records (presence, counts, abundance, or biomass) of benthic fauna, usually at genus level or species level, which were identified in field samples obtained at point-referenced locations (stations) by means of grabs, towed gear, or seabed imaging. The data cover the entire pan-Arctic realm, i.e. the central Arctic Ocean, Chukchi Sea, East Siberian Sea, Laptev Sea, Kara Sea, Barents Sea (including the White Sea), Svalbard waters, Greenland Sea, Norwegian Sea, Canadian Archipelago, Beaufort Sea, and Bering Sea as well as some adjacent sub-Arctic regions (Sea of Japan, Gulf of Okhotsk). Currently (as of 14 December 2023), PANABIO includes 27 datasets with a total of 126 388 records of 2978 taxa collected from 11 555 samples taken at 10 596 stations during 1095 cruises between 1800 and 2014. These numbers will increase with more data becoming available over time through contributions from PANABIO users. The data collection is available in a PostgreSQL-based data warehouse that can be accessed and queried through an open-access front-end web service at https://critterbase.awi.de/panabio (last access: 27 February 2024). A snapshot of the current data collection and its 27 individual datasets is also available from the data publisher PANGAEA (https://doi.org/10.1594/PANGAEA.963640, Piepenburg et al., 2023). Article in Journal/Newspaper Arctic Ocean Barents Sea Beaufort Sea Bering Sea Canadian Archipelago Chukchi Chukchi Sea East Siberian Sea Greenland Greenland Sea Kara Sea laptev Laptev Sea Norwegian Sea Sea ice Svalbard White Sea OpenAgrar (OA) Earth System Science Data 16 3 1177 1184 |
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article Text ddc:550 ddc:500 Piepenburg, Dieter Brey, Thomas Teschke, Katharina Dannheim, Jennifer Kloss, Paul Rehage, Marianne Hansen, Miriam L. S. Kraan, Casper PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
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article Text ddc:550 ddc:500 |
description |
Profound environmental changes, such as drastic sea-ice decline, leave large-scale ecological footprints on the distribution and composition of marine biota in the Arctic. Currently, the impact of such stressors is not sufficiently understood due to the lack of pan-Arctic data that allow for estimating ecological baselines as well as modelling current and forecast potential changes in benthic biodiversity and ecosystem functioning. Here, we introduce the PAN-Arctic data collection of benthic BIOtas (PANABIO) and discuss its timeliness, potential, and details of its further development. The data collection contains individual datasets with records (presence, counts, abundance, or biomass) of benthic fauna, usually at genus level or species level, which were identified in field samples obtained at point-referenced locations (stations) by means of grabs, towed gear, or seabed imaging. The data cover the entire pan-Arctic realm, i.e. the central Arctic Ocean, Chukchi Sea, East Siberian Sea, Laptev Sea, Kara Sea, Barents Sea (including the White Sea), Svalbard waters, Greenland Sea, Norwegian Sea, Canadian Archipelago, Beaufort Sea, and Bering Sea as well as some adjacent sub-Arctic regions (Sea of Japan, Gulf of Okhotsk). Currently (as of 14 December 2023), PANABIO includes 27 datasets with a total of 126 388 records of 2978 taxa collected from 11 555 samples taken at 10 596 stations during 1095 cruises between 1800 and 2014. These numbers will increase with more data becoming available over time through contributions from PANABIO users. The data collection is available in a PostgreSQL-based data warehouse that can be accessed and queried through an open-access front-end web service at https://critterbase.awi.de/panabio (last access: 27 February 2024). A snapshot of the current data collection and its 27 individual datasets is also available from the data publisher PANGAEA (https://doi.org/10.1594/PANGAEA.963640, Piepenburg et al., 2023). |
format |
Article in Journal/Newspaper |
author |
Piepenburg, Dieter Brey, Thomas Teschke, Katharina Dannheim, Jennifer Kloss, Paul Rehage, Marianne Hansen, Miriam L. S. Kraan, Casper |
author_facet |
Piepenburg, Dieter Brey, Thomas Teschke, Katharina Dannheim, Jennifer Kloss, Paul Rehage, Marianne Hansen, Miriam L. S. Kraan, Casper |
author_sort |
Piepenburg, Dieter |
title |
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
title_short |
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
title_full |
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
title_fullStr |
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
title_full_unstemmed |
PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas |
title_sort |
panabio: a point-referenced pan-arctic data collection of benthic biotas |
publisher |
Copernicus GmbH |
publishDate |
2024 |
url |
https://doi.org/10.5194/essd-16-1177-2024 https://www.openagrar.de/receive/openagrar_mods_00094602 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00058095/dn067754.pdf |
genre |
Arctic Ocean Barents Sea Beaufort Sea Bering Sea Canadian Archipelago Chukchi Chukchi Sea East Siberian Sea Greenland Greenland Sea Kara Sea laptev Laptev Sea Norwegian Sea Sea ice Svalbard White Sea |
genre_facet |
Arctic Ocean Barents Sea Beaufort Sea Bering Sea Canadian Archipelago Chukchi Chukchi Sea East Siberian Sea Greenland Greenland Sea Kara Sea laptev Laptev Sea Norwegian Sea Sea ice Svalbard White Sea |
op_relation |
Earth System Science Data : the data publishing journal -- Earth Syst. Sci. Data -- 1866-3508 -- 1866-3516 -- 2442009-8 -- 2475469-9 -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 https://doi.org/10.5194/essd-16-1177-2024 https://www.openagrar.de/receive/openagrar_mods_00094602 https://www.openagrar.de/servlets/MCRFileNodeServlet/openagrar_derivate_00058095/dn067754.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ public info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/essd-16-1177-2024 |
container_title |
Earth System Science Data |
container_volume |
16 |
container_issue |
3 |
container_start_page |
1177 |
op_container_end_page |
1184 |
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1810430403850272768 |