Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves

Abstract To enhance the accuracy of carbon cycling models as applied to sea ice in the changing Arctic, we analyzed a large data set of particulate organic carbon (POC) and nitrogen (PON) measurements in first-year bottom sea ice (n = 257) from two Arctic shelves, the Canadian Arctic Archipelago and...

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Published in:Elementa: Science of the Anthropocene
Main Authors: Niemi, Andrea, Michel, Christine
Other Authors: Deming, Jody W., Thomsen, Laurenz
Format: Article in Journal/Newspaper
Language:English
Published: University of California Press 2015
Subjects:
Online Access:http://dx.doi.org/10.12952/journal.elementa.000078
http://online.ucpress.edu/elementa/article-pdf/doi/10.12952/journal.elementa.000078/467418/85-831-1-ce.pdf
id crunicaliforniap:10.12952/journal.elementa.000078
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spelling crunicaliforniap:10.12952/journal.elementa.000078 2023-11-12T04:10:19+01:00 Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves Niemi, Andrea Michel, Christine Deming, Jody W. Thomsen, Laurenz 2015 http://dx.doi.org/10.12952/journal.elementa.000078 http://online.ucpress.edu/elementa/article-pdf/doi/10.12952/journal.elementa.000078/467418/85-831-1-ce.pdf en eng University of California Press Elementa: Science of the Anthropocene volume 3 ISSN 2325-1026 Atmospheric Science Geology Geotechnical Engineering and Engineering Geology Ecology Environmental Engineering Oceanography journal-article 2015 crunicaliforniap https://doi.org/10.12952/journal.elementa.000078 2023-10-15T17:39:37Z Abstract To enhance the accuracy of carbon cycling models as applied to sea ice in the changing Arctic, we analyzed a large data set of particulate organic carbon (POC) and nitrogen (PON) measurements in first-year bottom sea ice (n = 257) from two Arctic shelves, the Canadian Arctic Archipelago and Beaufort Sea shelf, including dark winter and spring seasonal measurements. Wide ranges of sea-ice POC:PON ratios were observed during both the dark winter (12–46 mol:mol) and spring (3–24 mol:mol) periods. Sea-ice POC:PON ratios and chlorophyll a concentrations were significantly higher in the Archipelago versus the Beaufort Sea shelf (p < 0.01), yet there was a highly significant relationship between sea-ice POC and PON during spring for both shelves (r2 = 0.94). POC:PON ratios were not consistent over the range of measured POC and PON concentrations, justifying the use of a power function model to best describe the relationship between POC and PON. Distinct relationships between POC:PON ratios and chlorophyll-based biomass were observed for the dark winter and the spring: dark winter sea-ice POC:PON ratios decreased with increasing sea-ice biomass whereas spring POC:PON ratios increased with increasing sea-ice biomass. The transition from the dark period to the spring growth period in first-year sea ice represented a distinct stoichiometric shift in POC:PON ratios. Our results demonstrate that the Redfield ratio has limited applicability over the four-order of magnitude range of biomass concentrations observed in first-year sea ice on Arctic shelves. This study emphasizes the need for variable POC:PON stoichiometry in sea-ice biogeochemical models and budget estimates, in particular at high biomass concentrations and when considering seasonality outside of the spring period in first year ice. The use of a power function model for POC:PON relationships in sea ice is also recommended to better constrain carbon estimates in biogeochemical sea-ice models. Article in Journal/Newspaper Arctic Archipelago Arctic Beaufort Sea Canadian Arctic Archipelago Sea ice University of California Press (via Crossref) Arctic Canadian Arctic Archipelago Elementa: Science of the Anthropocene 3
institution Open Polar
collection University of California Press (via Crossref)
op_collection_id crunicaliforniap
language English
topic Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
spellingShingle Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
Niemi, Andrea
Michel, Christine
Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
topic_facet Atmospheric Science
Geology
Geotechnical Engineering and Engineering Geology
Ecology
Environmental Engineering
Oceanography
description Abstract To enhance the accuracy of carbon cycling models as applied to sea ice in the changing Arctic, we analyzed a large data set of particulate organic carbon (POC) and nitrogen (PON) measurements in first-year bottom sea ice (n = 257) from two Arctic shelves, the Canadian Arctic Archipelago and Beaufort Sea shelf, including dark winter and spring seasonal measurements. Wide ranges of sea-ice POC:PON ratios were observed during both the dark winter (12–46 mol:mol) and spring (3–24 mol:mol) periods. Sea-ice POC:PON ratios and chlorophyll a concentrations were significantly higher in the Archipelago versus the Beaufort Sea shelf (p < 0.01), yet there was a highly significant relationship between sea-ice POC and PON during spring for both shelves (r2 = 0.94). POC:PON ratios were not consistent over the range of measured POC and PON concentrations, justifying the use of a power function model to best describe the relationship between POC and PON. Distinct relationships between POC:PON ratios and chlorophyll-based biomass were observed for the dark winter and the spring: dark winter sea-ice POC:PON ratios decreased with increasing sea-ice biomass whereas spring POC:PON ratios increased with increasing sea-ice biomass. The transition from the dark period to the spring growth period in first-year sea ice represented a distinct stoichiometric shift in POC:PON ratios. Our results demonstrate that the Redfield ratio has limited applicability over the four-order of magnitude range of biomass concentrations observed in first-year sea ice on Arctic shelves. This study emphasizes the need for variable POC:PON stoichiometry in sea-ice biogeochemical models and budget estimates, in particular at high biomass concentrations and when considering seasonality outside of the spring period in first year ice. The use of a power function model for POC:PON relationships in sea ice is also recommended to better constrain carbon estimates in biogeochemical sea-ice models.
author2 Deming, Jody W.
Thomsen, Laurenz
format Article in Journal/Newspaper
author Niemi, Andrea
Michel, Christine
author_facet Niemi, Andrea
Michel, Christine
author_sort Niemi, Andrea
title Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
title_short Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
title_full Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
title_fullStr Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
title_full_unstemmed Temporal and spatial variability in sea-ice carbon:nitrogen ratios on Canadian Arctic shelves
title_sort temporal and spatial variability in sea-ice carbon:nitrogen ratios on canadian arctic shelves
publisher University of California Press
publishDate 2015
url http://dx.doi.org/10.12952/journal.elementa.000078
http://online.ucpress.edu/elementa/article-pdf/doi/10.12952/journal.elementa.000078/467418/85-831-1-ce.pdf
geographic Arctic
Canadian Arctic Archipelago
geographic_facet Arctic
Canadian Arctic Archipelago
genre Arctic Archipelago
Arctic
Beaufort Sea
Canadian Arctic Archipelago
Sea ice
genre_facet Arctic Archipelago
Arctic
Beaufort Sea
Canadian Arctic Archipelago
Sea ice
op_source Elementa: Science of the Anthropocene
volume 3
ISSN 2325-1026
op_doi https://doi.org/10.12952/journal.elementa.000078
container_title Elementa: Science of the Anthropocene
container_volume 3
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