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| Titel |
Links between surface productivity and deep ocean particle flux at the Porcupine Abyssal Plain sustained observatory |
| VerfasserIn |
H. Frigstad, S. A. Henson, S. E. Hartman, A. M. Omar, E. Jeansson, H. Cole, C. Pebody, R. S. Lampitt |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 12, no. 19 ; Nr. 12, no. 19 (2015-10-15), S.5885-5897 |
| Datensatznummer |
250118126
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| Publikation (Nr.) |
 copernicus.org/bg-12-5885-2015.pdf |
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| Zusammenfassung |
| In this study we present hydrography, biogeochemistry and sediment trap
observations between 2003 and 2012 at Porcupine Abyssal Plain (PAP)
sustained observatory in the Northeast Atlantic. The time series is valuable
as it allows for investigation of the link between surface productivity and
deep ocean carbon flux. The region is a perennial sink for CO2, with an
average uptake of around 1.5 mmol m−2 day−1. The average monthly
drawdowns of inorganic carbon and nitrogen were used to quantify the net
community production (NCP) and new production. Seasonal NCP and new
production were found to be 4.57 ± 0.85 mol C m−2 and 0.37 ± 0.14 mol N m−2,
respectively. The C : N ratio was high (12)
compared to the Redfield ratio (6.6), and the production calculated from
carbon was higher than production calculated from nitrogen, which is
indicative of carbon overconsumption. The export ratio and transfer
efficiency were 16 and 4 %, respectively, and the site thereby showed
high flux attenuation. Particle tracking was used to examine the source
region of material in the sediment trap, and there was large variation in
source regions, both between and within years. There were higher
correlations between surface productivity and export flux when using the
particle-tracking approach, than by comparing with the mean productivity in
a 100 km box around the PAP site. However, the differences in correlation
coefficients were not significant, and a longer time series is needed to
draw conclusions on applying particle tracking in sediment trap analyses. |
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