Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions
The Arctic ice scape is composed by a mosaic of ridges, hummocks, melt ponds, leads, and snow. Under such heterogeneous surfaces, drifting phytoplankton communities are experiencing a wide range of irradiance conditions and intensities that cannot be sampled representatively using single‐location me...
Published in: | Journal of Geophysical Research: Oceans |
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American Geophysical Union
2020
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Online Access: | https://hdl.handle.net/20.500.11794/39837 https://doi.org/10.1029/2019JC015007 |
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ftunivlavalcorp:oai:corpus.ulaval.ca:20.500.11794/39837 2024-06-23T07:50:15+00:00 Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions Tremblay, Jean-Éric Peeken, Ilka Massicotte, Philippe Katlein, Christian Babin, Marcel Flores, Hauke Huot, Yannick Castellani, Giulia Arnd, Stefanie Lange, B. (Benjamin) Arctique, Océan 2020-07-21T16:05:31Z application/pdf https://hdl.handle.net/20.500.11794/39837 https://doi.org/10.1029/2019JC015007 eng eng American Geophysical Union 2169-9275 http://hdl.handle.net/20.500.11794/39837 doi:10.1029/2019JC015007 http://purl.org/coar/access_right/c_abf2 Phytoplancton marin Productivité primaire (Biologie) -- Mesure Glace de mer Éclairement lumineux article de recherche COAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherche 2020 ftunivlavalcorp https://doi.org/20.500.11794/3983710.1029/2019JC015007 2024-06-10T23:42:53Z The Arctic ice scape is composed by a mosaic of ridges, hummocks, melt ponds, leads, and snow. Under such heterogeneous surfaces, drifting phytoplankton communities are experiencing a wide range of irradiance conditions and intensities that cannot be sampled representatively using single‐location measurements. Combining experimentally derived photosynthetic parameters with transmittance measurements acquired at spatial scales ranging from hundreds of meters (using a remotely operated vehicle, ROV) to thousands of meters (using a surface and underice trawl, SUIT), we assessed the sensitivity of water column primary production estimates to multiscale underice light measurements. Daily primary production calculated from transmittance from both the ROV and the SUIT ranged between 0.004 and 939 mgC·m−2·day−1. Upscaling these estimates at larger spatial scales using satellite‐derived sea ice concentration reduced the variability by 22% (0.004–731 mgC·m−2·day−1). The relative error in primary production estimates was two times lower when combining remote sensing and in situ data compared to ROV‐based estimates alone. These results suggest that spatially extensive in situ measurements must be combined with large‐footprint sea ice coverage sampling (e.g., remote sensing, aerial imagery) to accurately estimate primary production in ice‐covered waters. Also, the results indicated a decreasing error of primary production estimates with increasing sample size and the spatial scale at which in situ measurements are performed. Conversely, existing estimates of spatially integrated phytoplankton primary production in ice‐covered waters derived from single‐location light measurements may be associated with large statistical errors. Considering these implications is important for modeling scenarios and interpretation of existing measurements in a changing Arctic ecosystem. Other/Unknown Material Arctic Arctique* Phytoplankton Sea ice ice covered waters Université Laval: CorpusUL Arctic Journal of Geophysical Research: Oceans 124 8 5436 5450 |
institution |
Open Polar |
collection |
Université Laval: CorpusUL |
op_collection_id |
ftunivlavalcorp |
language |
English |
topic |
Phytoplancton marin Productivité primaire (Biologie) -- Mesure Glace de mer Éclairement lumineux |
spellingShingle |
Phytoplancton marin Productivité primaire (Biologie) -- Mesure Glace de mer Éclairement lumineux Tremblay, Jean-Éric Peeken, Ilka Massicotte, Philippe Katlein, Christian Babin, Marcel Flores, Hauke Huot, Yannick Castellani, Giulia Arnd, Stefanie Lange, B. (Benjamin) Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
topic_facet |
Phytoplancton marin Productivité primaire (Biologie) -- Mesure Glace de mer Éclairement lumineux |
description |
The Arctic ice scape is composed by a mosaic of ridges, hummocks, melt ponds, leads, and snow. Under such heterogeneous surfaces, drifting phytoplankton communities are experiencing a wide range of irradiance conditions and intensities that cannot be sampled representatively using single‐location measurements. Combining experimentally derived photosynthetic parameters with transmittance measurements acquired at spatial scales ranging from hundreds of meters (using a remotely operated vehicle, ROV) to thousands of meters (using a surface and underice trawl, SUIT), we assessed the sensitivity of water column primary production estimates to multiscale underice light measurements. Daily primary production calculated from transmittance from both the ROV and the SUIT ranged between 0.004 and 939 mgC·m−2·day−1. Upscaling these estimates at larger spatial scales using satellite‐derived sea ice concentration reduced the variability by 22% (0.004–731 mgC·m−2·day−1). The relative error in primary production estimates was two times lower when combining remote sensing and in situ data compared to ROV‐based estimates alone. These results suggest that spatially extensive in situ measurements must be combined with large‐footprint sea ice coverage sampling (e.g., remote sensing, aerial imagery) to accurately estimate primary production in ice‐covered waters. Also, the results indicated a decreasing error of primary production estimates with increasing sample size and the spatial scale at which in situ measurements are performed. Conversely, existing estimates of spatially integrated phytoplankton primary production in ice‐covered waters derived from single‐location light measurements may be associated with large statistical errors. Considering these implications is important for modeling scenarios and interpretation of existing measurements in a changing Arctic ecosystem. |
format |
Other/Unknown Material |
author |
Tremblay, Jean-Éric Peeken, Ilka Massicotte, Philippe Katlein, Christian Babin, Marcel Flores, Hauke Huot, Yannick Castellani, Giulia Arnd, Stefanie Lange, B. (Benjamin) |
author_facet |
Tremblay, Jean-Éric Peeken, Ilka Massicotte, Philippe Katlein, Christian Babin, Marcel Flores, Hauke Huot, Yannick Castellani, Giulia Arnd, Stefanie Lange, B. (Benjamin) |
author_sort |
Tremblay, Jean-Éric |
title |
Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
title_short |
Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
title_full |
Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
title_fullStr |
Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
title_full_unstemmed |
Sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
title_sort |
sensitivity of phytoplankton primary production estimates to available irradiance under heterogeneous sea ice conditions |
publisher |
American Geophysical Union |
publishDate |
2020 |
url |
https://hdl.handle.net/20.500.11794/39837 https://doi.org/10.1029/2019JC015007 |
op_coverage |
Arctique, Océan |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctique* Phytoplankton Sea ice ice covered waters |
genre_facet |
Arctic Arctique* Phytoplankton Sea ice ice covered waters |
op_relation |
2169-9275 http://hdl.handle.net/20.500.11794/39837 doi:10.1029/2019JC015007 |
op_rights |
http://purl.org/coar/access_right/c_abf2 |
op_doi |
https://doi.org/20.500.11794/3983710.1029/2019JC015007 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
124 |
container_issue |
8 |
container_start_page |
5436 |
op_container_end_page |
5450 |
_version_ |
1802641125223170048 |