A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning
Abstract In the North Atlantic Ocean, dinitrogen (N 2 ) fixation on the western continental shelf represents a significant fraction of basin‐wide nitrogen (N) inputs. However, the factors regulating coastal N 2 fixation remain poorly understood, in part due to sharp physico‐chemical gradients and dy...
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crwiley:10.1002/lno.11727 2024-06-02T08:11:18+00:00 A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning Selden, Corday R. Chappell, P. Dreux Clayton, Sophie Macías‐Tapia, Alfonso Bernhardt, Peter W. Mulholland, Margaret R. National Science Foundation 2021 http://dx.doi.org/10.1002/lno.11727 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11727 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lno.11727 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11727 en eng Wiley http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ Limnology and Oceanography volume 66, issue 5, page 1832-1849 ISSN 0024-3590 1939-5590 journal-article 2021 crwiley https://doi.org/10.1002/lno.11727 2024-05-03T12:02:01Z Abstract In the North Atlantic Ocean, dinitrogen (N 2 ) fixation on the western continental shelf represents a significant fraction of basin‐wide nitrogen (N) inputs. However, the factors regulating coastal N 2 fixation remain poorly understood, in part due to sharp physico‐chemical gradients and dynamic water mass interactions that are difficult to constrain via traditional oceanographic approaches. This study sought to characterize the spatial heterogeneity of N 2 fixation on the western North Atlantic shelf, at the confluence of Mid‐ and South Atlantic Bight shelf waters and the Gulf Stream, in August 2016. Rates were quantified using the 15 N 2 bubble release method and used to build empirical models of regional N 2 fixation via a random forest machine learning approach. N 2 fixation rates were then predicted from high‐resolution CTD and satellite data to infer the variability of its depth and surface distributions, respectively. Our findings suggest that the frontal mixing zone created conditions conducive to exceptionally high N 2 fixation rates (> 100 nmol N L −1 d −1 ), which were likely driven by the haptophyte‐symbiont UCYN‐A. Above and below this hotspot, N 2 fixation rates were highest on the shelf due to the high particulate N concentrations there. Conversely, specific N 2 uptake rates, a biomass‐independent metric for diazotroph activity, were enhanced in the oligotrophic slope waters. Broadly, these observations suggest that N 2 fixation is favored offshore but occurs continuously across the shelf. Nevertheless, our model results indicate that there is a niche for diazotrophs along the coastline as phytoplankton populations begin to decline, likely due to exhaustion of coastal nutrients. Article in Journal/Newspaper North Atlantic Wiley Online Library Limnology and Oceanography 66 5 1832 1849 |
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English |
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Abstract In the North Atlantic Ocean, dinitrogen (N 2 ) fixation on the western continental shelf represents a significant fraction of basin‐wide nitrogen (N) inputs. However, the factors regulating coastal N 2 fixation remain poorly understood, in part due to sharp physico‐chemical gradients and dynamic water mass interactions that are difficult to constrain via traditional oceanographic approaches. This study sought to characterize the spatial heterogeneity of N 2 fixation on the western North Atlantic shelf, at the confluence of Mid‐ and South Atlantic Bight shelf waters and the Gulf Stream, in August 2016. Rates were quantified using the 15 N 2 bubble release method and used to build empirical models of regional N 2 fixation via a random forest machine learning approach. N 2 fixation rates were then predicted from high‐resolution CTD and satellite data to infer the variability of its depth and surface distributions, respectively. Our findings suggest that the frontal mixing zone created conditions conducive to exceptionally high N 2 fixation rates (> 100 nmol N L −1 d −1 ), which were likely driven by the haptophyte‐symbiont UCYN‐A. Above and below this hotspot, N 2 fixation rates were highest on the shelf due to the high particulate N concentrations there. Conversely, specific N 2 uptake rates, a biomass‐independent metric for diazotroph activity, were enhanced in the oligotrophic slope waters. Broadly, these observations suggest that N 2 fixation is favored offshore but occurs continuously across the shelf. Nevertheless, our model results indicate that there is a niche for diazotrophs along the coastline as phytoplankton populations begin to decline, likely due to exhaustion of coastal nutrients. |
author2 |
National Science Foundation |
format |
Article in Journal/Newspaper |
author |
Selden, Corday R. Chappell, P. Dreux Clayton, Sophie Macías‐Tapia, Alfonso Bernhardt, Peter W. Mulholland, Margaret R. |
spellingShingle |
Selden, Corday R. Chappell, P. Dreux Clayton, Sophie Macías‐Tapia, Alfonso Bernhardt, Peter W. Mulholland, Margaret R. A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
author_facet |
Selden, Corday R. Chappell, P. Dreux Clayton, Sophie Macías‐Tapia, Alfonso Bernhardt, Peter W. Mulholland, Margaret R. |
author_sort |
Selden, Corday R. |
title |
A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
title_short |
A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
title_full |
A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
title_fullStr |
A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
title_full_unstemmed |
A coastal N 2 fixation hotspot at the Cape Hatteras front: Elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
title_sort |
coastal n 2 fixation hotspot at the cape hatteras front: elucidating spatial heterogeneity in diazotroph activity via supervised machine learning |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/lno.11727 https://onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11727 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lno.11727 https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lno.11727 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Limnology and Oceanography volume 66, issue 5, page 1832-1849 ISSN 0024-3590 1939-5590 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/lno.11727 |
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Limnology and Oceanography |
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66 |
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5 |
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1832 |
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1849 |
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1800757399387111424 |