(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ...
The lack of extended dataset has so far prevented an inclusive understanding of the long-term relationships between primary production (PP) and vertical export in the Arctic Ocean. It is urgent to investigate these connections as Arctic ecosystems are on the verge of climate-related shifts, which co...
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ftdatacite:10.1594/pangaea.809524 2024-09-15T17:53:59+00:00 (Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... Forest, Alexandre Wassmann, Paul Slagstad, Dag Bauerfeind, Eduard Nöthig, Eva-Maria Klages, Michael 2010 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.809524 https://doi.pangaea.de/10.1594/PANGAEA.809524 en eng PANGAEA https://dx.doi.org/10.1007/s00300-010-0855-3 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 AWI Sampling date Radius Primary production of carbon per area, yearly Primary production of carbon, standard deviation Mooring long time modelled ARK-XVI/2 Polarstern International Polar Year 2007-2008 IPY Dataset dataset Supplementary Dataset 2010 ftdatacite https://doi.org/10.1594/pangaea.80952410.1007/s00300-010-0855-3 2024-07-03T13:10:33Z The lack of extended dataset has so far prevented an inclusive understanding of the long-term relationships between primary production (PP) and vertical export in the Arctic Ocean. It is urgent to investigate these connections as Arctic ecosystems are on the verge of climate-related shifts, which could be caused by the combined effects of increase in Pacific and Atlantic inflow, climate warming, and sea ice decline. For a period of 6 years we investigated the degree of coupling between PP and export by making use of modelled PP rates and vertical particle fluxes collected with sediment traps moored at ~300 m depth in the eastern Fram Strait. Our analyses indicate that total and new simulated PP averaged for different areas centered on the mooring location (5-200 km radius) explain at best 20-44% of the observed biogenic particle fluxes at 300 m, when applying extended time-lags (55-90 days) between PP and vertical fluxes. Based on this phasing, we define a conceptual framework that presents the temporal ... : Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ... Dataset Arctic Ocean Fram Strait International Polar Year IPY Sea ice DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
AWI Sampling date Radius Primary production of carbon per area, yearly Primary production of carbon, standard deviation Mooring long time modelled ARK-XVI/2 Polarstern International Polar Year 2007-2008 IPY |
spellingShingle |
AWI Sampling date Radius Primary production of carbon per area, yearly Primary production of carbon, standard deviation Mooring long time modelled ARK-XVI/2 Polarstern International Polar Year 2007-2008 IPY Forest, Alexandre Wassmann, Paul Slagstad, Dag Bauerfeind, Eduard Nöthig, Eva-Maria Klages, Michael (Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
topic_facet |
AWI Sampling date Radius Primary production of carbon per area, yearly Primary production of carbon, standard deviation Mooring long time modelled ARK-XVI/2 Polarstern International Polar Year 2007-2008 IPY |
description |
The lack of extended dataset has so far prevented an inclusive understanding of the long-term relationships between primary production (PP) and vertical export in the Arctic Ocean. It is urgent to investigate these connections as Arctic ecosystems are on the verge of climate-related shifts, which could be caused by the combined effects of increase in Pacific and Atlantic inflow, climate warming, and sea ice decline. For a period of 6 years we investigated the degree of coupling between PP and export by making use of modelled PP rates and vertical particle fluxes collected with sediment traps moored at ~300 m depth in the eastern Fram Strait. Our analyses indicate that total and new simulated PP averaged for different areas centered on the mooring location (5-200 km radius) explain at best 20-44% of the observed biogenic particle fluxes at 300 m, when applying extended time-lags (55-90 days) between PP and vertical fluxes. Based on this phasing, we define a conceptual framework that presents the temporal ... : Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ... |
format |
Dataset |
author |
Forest, Alexandre Wassmann, Paul Slagstad, Dag Bauerfeind, Eduard Nöthig, Eva-Maria Klages, Michael |
author_facet |
Forest, Alexandre Wassmann, Paul Slagstad, Dag Bauerfeind, Eduard Nöthig, Eva-Maria Klages, Michael |
author_sort |
Forest, Alexandre |
title |
(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
title_short |
(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
title_full |
(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
title_fullStr |
(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
title_full_unstemmed |
(Table 1) Annual gross and new primary production rates obtained for areas centered on the AWI-HAUSGARTEN mooring (2000-2005) ... |
title_sort |
(table 1) annual gross and new primary production rates obtained for areas centered on the awi-hausgarten mooring (2000-2005) ... |
publisher |
PANGAEA |
publishDate |
2010 |
url |
https://dx.doi.org/10.1594/pangaea.809524 https://doi.pangaea.de/10.1594/PANGAEA.809524 |
genre |
Arctic Ocean Fram Strait International Polar Year IPY Sea ice |
genre_facet |
Arctic Ocean Fram Strait International Polar Year IPY Sea ice |
op_relation |
https://dx.doi.org/10.1007/s00300-010-0855-3 |
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.80952410.1007/s00300-010-0855-3 |
_version_ |
1810430146101903360 |