2014
DOI: 10.1016/j.quascirev.2014.06.015
|View full text |Cite
|
Sign up to set email alerts
|

Southern-ocean and glaciogenic nutrients control diatom export production on the Chile margin

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
20
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(23 citation statements)
references
References 68 publications
3
20
0
Order By: Relevance
“…However, Muratli et al (2010b), who reconstructed paleoproductivity over the last ~30 kyrs for ODP 1234, suggested that the rise in TOC after the LGM is probably not the result of increased productivity, but of a lower oxygen availability due to 25 decreased Antarctic Intermediate Water ventilation, and thus increased preservation, since both opal concentrations and opal and organic carbon MARs do not increase simultaneous with TOC concentrations. Chase et al (2014) support this hypothesis based on the Th normalized organic carbon fluxes. Our (unnormalized) MARTOC support these findings since although TOC levels show a steady rise after the LGM, we do not observe this increase in the accumulation of organic carbon, and the MARTOC is higher during the LGM as compared to the Holocene, suggesting higher glacial productivity.…”
Section: Productivitysupporting
confidence: 72%
See 1 more Smart Citation
“…However, Muratli et al (2010b), who reconstructed paleoproductivity over the last ~30 kyrs for ODP 1234, suggested that the rise in TOC after the LGM is probably not the result of increased productivity, but of a lower oxygen availability due to 25 decreased Antarctic Intermediate Water ventilation, and thus increased preservation, since both opal concentrations and opal and organic carbon MARs do not increase simultaneous with TOC concentrations. Chase et al (2014) support this hypothesis based on the Th normalized organic carbon fluxes. Our (unnormalized) MARTOC support these findings since although TOC levels show a steady rise after the LGM, we do not observe this increase in the accumulation of organic carbon, and the MARTOC is higher during the LGM as compared to the Holocene, suggesting higher glacial productivity.…”
Section: Productivitysupporting
confidence: 72%
“…Marine sediments along the coast of Chile and Peru have been thoroughly studied, as it is a key region in the southern hemisphere for studying climate variability related to both atmospheric and oceanographic circulation (e.g., Lamy et al, 1998Lamy et al, , 1999Lamy et al, , 2002Lamy et al, , 2004Hebbeln et al, 2000Hebbeln et al, , 2002Mohtadi & Hebbeln, 2004;Stuut and Lamy, 2004;Heusser et al, 2006;Romero et al, 2006;Mohtadi et al, 2008;Muratli et al, 2010aMuratli et al, , 2010bVerleye & Louwye, 2010;Chase et al, 2014). The main circulation patterns include the Southern Westerly Winds (SWW) and the Antarctic Circumpolar Current (ACC; Fig 1).…”
Section: Study Site 20mentioning
confidence: 99%
“…Muratli et al (2010) based this finding on the mismatch between the increase of opal and TOC-AR with the TOC concentrations. This hypothesis has been supported by thorium-normalized Corg data from Chase et al (2014), who further suggested that between 36°S to 41°S the increase in coastal productivity during LGM is in agreement with the process invoked to explain increased LGM productivity further north in the HCS, such as a larger supply of macronutrients due to the migration of the ACC and a higher input of micronutrient due to higher continental runoff (Hebbeln et al, 2002;Mohtadi et al, 2004;Romero et al, 2006).…”
Section: Previous Paleoproductivity Reconstructions From the Chilean Margin Focusing On Lgm-holocene Changesmentioning
confidence: 61%
“…The model is constrained by six high‐resolution paleomagnetic records from globally distributed sites: the Black Sea PSV stacks (data from this study), data from Core JPC‐14, North Atlantic Ocean (Lund et al, 2001, 2005), Site ODP‐1233, Chile Margin, SE Pacific (Lund, Stoner, & Lamy, 2006; Lund et al, 2007), Core MD94‐103, southern Indian Ocean (Mazaud et al, 2002), Core MD98‐2181, western equatorial Pacific Ocean (Lund, Schwartz, et al, 2017), and Core PLC08‐1, Pyramid Lake, USA (Lund, Benson, et al, 2017). New age models were derived for Site ODP‐1233 (Chase et al, 2014) and Core MD94‐103 records (Sicre et al, 2005). From this limited but highly improved data set including only high‐quality records with good age controls, we derived a model with a better temporal resolution and more consistent global variations.…”
Section: Resultsmentioning
confidence: 99%