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Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories
Anthropogenic impacts are perturbing the global nitrogen cycle via warming effects and pollutant sources such as chemical fertilizers and burning of fossil fuels. Understanding controls on past nitrogen inventories might improve predictions for future global biogeochemical cycling. Here we show the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865207/ https://www.ncbi.nlm.nih.gov/pubmed/29572447 http://dx.doi.org/10.1038/s41467-018-03647-5 |
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author | Glock, Nicolaas Erdem, Zeynep Wallmann, Klaus Somes, Christopher J. Liebetrau, Volker Schönfeld, Joachim Gorb, Stanislav Eisenhauer, Anton |
author_facet | Glock, Nicolaas Erdem, Zeynep Wallmann, Klaus Somes, Christopher J. Liebetrau, Volker Schönfeld, Joachim Gorb, Stanislav Eisenhauer, Anton |
author_sort | Glock, Nicolaas |
collection | PubMed |
description | Anthropogenic impacts are perturbing the global nitrogen cycle via warming effects and pollutant sources such as chemical fertilizers and burning of fossil fuels. Understanding controls on past nitrogen inventories might improve predictions for future global biogeochemical cycling. Here we show the quantitative reconstruction of deglacial bottom water nitrate concentrations from intermediate depths of the Peruvian upwelling region, using foraminiferal pore density. Deglacial nitrate concentrations correlate strongly with downcore δ(13)C, consistent with modern water column observations in the intermediate Pacific, facilitating the use of δ(13)C records as a paleo-nitrate-proxy at intermediate depths and suggesting that the carbon and nitrogen cycles were closely coupled throughout the last deglaciation in the Peruvian upwelling region. Combining the pore density and intermediate Pacific δ(13)C records shows an elevated nitrate inventory of >10% during the Last Glacial Maximum relative to the Holocene, consistent with a δ(13)C-based and δ(15)N-based 3D ocean biogeochemical model and previous box modeling studies. |
format | Online Article Text |
id | pubmed-5865207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58652072018-03-28 Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories Glock, Nicolaas Erdem, Zeynep Wallmann, Klaus Somes, Christopher J. Liebetrau, Volker Schönfeld, Joachim Gorb, Stanislav Eisenhauer, Anton Nat Commun Article Anthropogenic impacts are perturbing the global nitrogen cycle via warming effects and pollutant sources such as chemical fertilizers and burning of fossil fuels. Understanding controls on past nitrogen inventories might improve predictions for future global biogeochemical cycling. Here we show the quantitative reconstruction of deglacial bottom water nitrate concentrations from intermediate depths of the Peruvian upwelling region, using foraminiferal pore density. Deglacial nitrate concentrations correlate strongly with downcore δ(13)C, consistent with modern water column observations in the intermediate Pacific, facilitating the use of δ(13)C records as a paleo-nitrate-proxy at intermediate depths and suggesting that the carbon and nitrogen cycles were closely coupled throughout the last deglaciation in the Peruvian upwelling region. Combining the pore density and intermediate Pacific δ(13)C records shows an elevated nitrate inventory of >10% during the Last Glacial Maximum relative to the Holocene, consistent with a δ(13)C-based and δ(15)N-based 3D ocean biogeochemical model and previous box modeling studies. Nature Publishing Group UK 2018-03-23 /pmc/articles/PMC5865207/ /pubmed/29572447 http://dx.doi.org/10.1038/s41467-018-03647-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Glock, Nicolaas Erdem, Zeynep Wallmann, Klaus Somes, Christopher J. Liebetrau, Volker Schönfeld, Joachim Gorb, Stanislav Eisenhauer, Anton Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title | Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title_full | Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title_fullStr | Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title_full_unstemmed | Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title_short | Coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
title_sort | coupling of oceanic carbon and nitrogen facilitates spatially resolved quantitative reconstruction of nitrate inventories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865207/ https://www.ncbi.nlm.nih.gov/pubmed/29572447 http://dx.doi.org/10.1038/s41467-018-03647-5 |
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