The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Changes in the distribution of δ13C of deep water ΣCO2 between the Last Glaciation and the Holocene
Open accessAbstract
Carbon isotopic measurements on the benthic foraminiferal genus Cibicidoides document that mean deep ocean δ 13 C values were 0.46 ‰ lower during the last glacial maximum than during the Late Holocene. The geographic distribution of δ 13 C was altered by changes in the production rate of nutrient‐depleted deep water in the North Atlantic. During the Late Holocene, North Atlantic Deep Water, with high δ 13 C values and low nutrient values, can be found throughout the Atlantic Ocean, and its effects can be traced into the southern ocean where it mixes with recirculated Pacific deep water. During the glaciation, decreased production of North Atlantic Deep Water allowed southern ocean deep water to penetrate farther into the North Atlantic and across low‐latitude fracture zones into the eastern Atlantic. Mean southern ocean δ 13 C values during the glaciation are lower than both North Atlantic and Pacific δ 13 C values, suggesting that production of nutrient‐depleted water occurred in both oceans during the glaciation. Enriched 13 C values in shallow cores within the Atlantic Ocean indicate the existence of a nutrient‐depleted water mass above 2000 m in this ocean.
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Cites
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Metadata
- Authors
- Curry, W. B., Duplessy, J. C., Labeyrie, L. D., & Shackleton, N. J.
- Venue
- Paleoceanography
- Publisher
- American Geophysical Union (AGU)
- Published
- 1988-06
- Volume
- 3
- Issue
- 3
- Pages
- 317-341
- ISSN
- 0883-8305 (ISSN-L)
- 1944-9186
- OpenAlex
- W2147652131
- Cited by
- 554
- References
- 32
- FWCI
- 19.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
