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  • Meerwasser  (2)
  • 577.7  (1)
  • Determination  (1)
  • 1
    Online Resource
    Online Resource
    Kiel : Universitätsbibliothek Kiel
    Keywords: Hochschulschrift ; Meerwasser ; Spurenmetall
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xiii, 195 Seiten) , Illustrationen
    DDC: 551.46
    Language: English
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  • 2
    Keywords: Hochschulschrift ; Meerwasser ; Spurenelement ; Mikroanalyse
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xx, 159 Seiten) , Illustrationen
    DDC: 572.5
    Language: English
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  • 3
    Publication Date: 2021-12-01
    Description: The duration and magnitude of the North Atlantic spring bloom impacts both higher trophic levels and oceanic carbon sequestration. Nutrient exhaustion offers a general explanation for bloom termination, but detail on which nutrients and their relative influence on phytoplankton productivity, community structure, and physiology is lacking. Here, we address this using nutrient addition bioassay experiments conducted across the midlatitude North Atlantic in June 2017 (late spring). In four out of six experiments, phytoplankton accumulated over 48–72 h following individual additions of either iron (Fe) or nitrogen (N). In the remaining two experiments, Fe and N were serially limiting, that is, their combined addition sequentially enhanced phytoplankton accumulation. Silicic acid (Si) added in combination with N + Fe led to further chlorophyll a (Chl a) enhancement at two sites. Conversely, addition of zinc, manganese, cobalt, vitamin B12, or phosphate in combination with N + Fe did not. At two sites, the simultaneous supply of all six nutrients, in combination with N + Fe, also led to no further Chl a enhancement, but did result in an additional 30–60% particulate carbon accumulation. This particulate carbon accumulation was not matched by a Redfield equivalent of particulate N, characteristic of high C:N organic exudates that enhance cell aggregation and sinking. Our results suggest that growth rates of larger phytoplankton were primarily limited by Fe and/or N, making the availability of these nutrients the main bottom-up factors contributing to spring bloom termination. In addition, the simultaneous availability of other nutrients could modify bloom characteristics and carbon export efficiency.
    Keywords: 577.7 ; mid-latitude North Atlantic ; phytoplankton ; diatom blooming ; experiments
    Language: English
    Type: map
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  • 4
    Publication Date: 2022-05-26
    Description: Author Posting. © The Authors, 2005. This is the author's version of the work. It is posted here by permission of Elsevier B. V. for personal use, not for redistribution. The definitive version was published in Marine Chemistry 98 (2006): 81-99, doi:10.1016/j.marchem.2005.07.002.
    Description: The first large-scale international intercomparison of analytical methods for the determination of dissolved iron in seawater was carried out between October 2000 and December 2002. The exercise was conducted as a rigorously “blind” comparison of 7 analytical techniques by 24 international laboratories. The comparison was based on a large volume (700 L), filtered surface seawater sample collected from the South Atlantic Ocean (the “IRONAGES” sample), which was acidified, mixed and bottled at sea. Two 1 L sample bottles were sent to each participant. Integrity and blindness were achieved by having the experiment designed and carried out by a small team, and overseen by an independent data manager. Storage, homogeneity and time-series stability experiments conducted over 2.5 years showed that interbottle variability of the IRONAGES sample was good (〈7%), although there was a decrease in iron concentration in the bottles over time (from 0.8-0.5 nM) before a stable value was observed. This raises questions over the suitability of sample acidification and storage. For the complete dataset of 45 results (after excluding 3 outliers not passing the screening criteria), the mean concentration of dissolved iron in the IRONAGES sample was 0.59±0.21 nM, representing a coefficient of variation (%CV) for analytical comparability (“community precision”) of 36% (1s), a significant improvement over earlier exercises. Within-run precision (5-10%), inter-run precision (15%) and inter-bottle homogeneity (〈7%) were much better than overall analytical comparability, implying the presence of: (1) random variability (inherent to all intercomparison exercises); (2) errors in quantification of the analytical blank; and (3) systematic inter-method variability, perhaps related to secondary sample treatment (e.g. measurement of different physicochemical fractions of iron present in seawater) in the community dataset. By grouping all results for the same method, analyses performed using flow injection – luminol chemiluminescence (with FeII detection after sample reduction) [Bowie et al., 1998. Anal. Chim. Acta 361, 189] and flow injection – catalytic 3 spectrophotometry (using the reagent DPD) [Measures et al., 1995. Mar. Chem. 50, 3] gave significantly (P=0.05) higher dissolved iron concentrations than analyses performed using isotope dilution ICPMS [Wu and Boyle, 1998. Anal. Chim. Acta 367, 183]. There was, however, evidence of scatter within each method group (CV up to 59%), implying that better uniformity in procedures may be required. This paper does not identify individual data and should not be viewed as an evaluation of single laboratories. Rather it summarises the status of dissolved iron analysis in seawater by the international community at the start of the 21st century, and can be used to inform future exercises including the SAFE iron intercomparison study in the North Pacific in October 2004.
    Description: SCOR and NSF (Grant No. OCE-0003700 to SCOR) kindly provided financial support for three workshops in Amsterdam (1998), San Antonio (2000) and San Francisco (2002). The European Union provided support for the fieldwork under the IRONAGES project (EVK2-1999-00031). Laboratory studies were funded by the Australian Research Council (X00106765 and DP0342826), ACROSS and the Australian Government’s Cooperative Research Centres Programme through the Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC). Final preparation of this manuscript was assisted by funding from NERC grant NER/A/S/2003/00489.
    Keywords: Iron ; Seawater ; Determination ; Intercomparison ; IRONAGES ; Large volume sample
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: 53444 bytes
    Format: 266863 bytes
    Format: application/pdf
    Format: application/pdf
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