2017
DOI: 10.1038/ngeo2890
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Silicon and zinc biogeochemical cycles coupled through the Southern Ocean

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Cited by 113 publications
(166 citation statements)
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References 41 publications
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“…In contrast, remineralization in diatom-rich regions such as the Southern Ocean and to a lesser extent the Arctic and sub-Arctic is expected to return both elements to the dissolved phase. This was previously observed in the formation regions of AAIW Zhao et al, 2014; see also Vance et al, 2017, their Figure 3a) and also evident from the positive intercept of the Zn-Si relationship in AAIW (not shown). Thus, the kink in the Zn-Si relationship at the transition between the highest latitude origin water and lower latitude origin water masses is predictable and reproduced in the eOMP model without the need to infer remineralization of Zn within the Atlantic.…”
Section: Zn-si Relationshipsupporting
confidence: 83%
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“…In contrast, remineralization in diatom-rich regions such as the Southern Ocean and to a lesser extent the Arctic and sub-Arctic is expected to return both elements to the dissolved phase. This was previously observed in the formation regions of AAIW Zhao et al, 2014; see also Vance et al, 2017, their Figure 3a) and also evident from the positive intercept of the Zn-Si relationship in AAIW (not shown). Thus, the kink in the Zn-Si relationship at the transition between the highest latitude origin water and lower latitude origin water masses is predictable and reproduced in the eOMP model without the need to infer remineralization of Zn within the Atlantic.…”
Section: Zn-si Relationshipsupporting
confidence: 83%
“…However, the diatoms are not dominant everywhere and are most productive in coastal, upwelling and polar regions (Armbrust, 2009, and references therein) whereas in the oligotrophic Atlantic subtropical gyres, export production and diatom productivity are relatively low (Soppa et al, 2014). However, the slopes of regression are not only a function of the composition of the endmembers, determined by the preformed concentrations (surface concentrations at time of formation) and the remineralization ratio in the formation region as well as during advection to the Atlantic, but also influenced by mixing during advection in the Atlantic as previously suggested (Vance et al, 2017, their Figure 3b). In contrast, remineralization in diatom-rich regions such as the Southern Ocean and to a lesser extent the Arctic and sub-Arctic is expected to return both elements to the dissolved phase.…”
Section: Zn-si Relationshipmentioning
confidence: 58%
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“…For Zn (e.g. Vance et al 2017) this dominance is especially important because the diatoms that strip this water of silicon take up 10 times more Zn relative to phosphorous than other oceanic phytoplankton. As a result, Zn concentrations drop by a factor of 40 as water is moved away from the upwelling zone in the surface flow.…”
Section: Introductionmentioning
confidence: 99%
“…The TMM has been applied to a wide range of problems, including simulating anthropogenic carbon uptake and radiocarbon by the ocean (Graven et al, 2012), simulating noble gases to improve the parameterization of air-sea gas transfer (Nicholson et al, 2011;Liang et al, 2013) and investigate ocean ventilation (Nicholson et al, 2016), studying ocean proxy (Siberlin and Wunsch, 2011) and radiocarbon (Koeve et al, 2015) timescales, investigating the mechanisms controlling nutrient ratios (Weber and Deutsch, 2010), modeling the cycling of particle reactive geochemical tracers Siddall et al, 2008;Vance et al, 2017), estimating respiration in the ocean from oxygen utilization rates (Duteil et al, 2013;Koeve and Kähler, 2016), demonstrating the utility of atmospheric potential oxygen measurements to constrain ocean heat transport , modeling the ocean's CaCO 3 (Koeve et al, 2014) and nitrogen (Kriest and Oschlies, 2015) cycles; studying the impact of the Southern Ocean on global ocean oxygen (Keller et al, 2016), estimating the flux of organic matter (Wilson et al, 2015), and biogeochemical parameter sensitivity (Khatiwala, 2007;Kriest et al, 2010Kriest et al, , 2012 and optimization (Priess et al, 2013b, a;Kriest et al, 2017).…”
mentioning
confidence: 99%