Mapping Antarctic phytoplankton physiology using autonomous gliders
The integration of a FIRe sensor into a glider allows us to map, with high temporal and spatial resolution, phytoplankton physiological responses to physical forcing. Different missions were designed to evaluate the temporal and spatial variability of phytoplankton physiology by using a drift and a...
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ftnerc:oai:nora.nerc.ac.uk:521117 2023-05-15T13:49:35+02:00 Mapping Antarctic phytoplankton physiology using autonomous gliders Carvalho, Filipa Kohut, Josh Gorbunov, Maxim Schofield, Oscar Oliver, Matthew J. 2016 text http://nora.nerc.ac.uk/id/eprint/521117/ https://nora.nerc.ac.uk/id/eprint/521117/1/07761193.pdf https://doi.org/10.1109/OCEANS.2016.7761193 en eng https://nora.nerc.ac.uk/id/eprint/521117/1/07761193.pdf Carvalho, Filipa orcid:0000-0002-8355-4329 Kohut, Josh; Gorbunov, Maxim; Schofield, Oscar; Oliver, Matthew J. 2016 Mapping Antarctic phytoplankton physiology using autonomous gliders. In: OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, USA, 19-23 Sept 2016. 1-6. Publication - Conference Item PeerReviewed 2016 ftnerc https://doi.org/10.1109/OCEANS.2016.7761193 2023-02-04T19:47:10Z The integration of a FIRe sensor into a glider allows us to map, with high temporal and spatial resolution, phytoplankton physiological responses to physical forcing. Different missions were designed to evaluate the temporal and spatial variability of phytoplankton physiology by using a drift and a station keeping mission, respectively. Diel cycles collected show a clear diurnal variations driven by incident radiation, with both maximal fluorescence and photosynthetic efficiency (in any light adapted phytoplankton) showing reduced values only in the upper 10-15 meters of the water column at the highest irradiances. Further analyses comparing different MLD regimes have shown different photoacclimation responses (light saturation parameter, Ek) resulting from differences in solar radiation exposure conditions (both time and intensity), reflected in the depth of the ML. Further analyses include determining a method to correct the FIRe glider fluorescence profiles in the upper ocean during daytime by comparing the maximum fluorescence during the highest irradiance (daytime) with the lowest irradiance (nighttime). Text Antarc* Antarctic Natural Environment Research Council: NERC Open Research Archive Antarctic OCEANS 2016 MTS/IEEE Monterey 1 6 |
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Natural Environment Research Council: NERC Open Research Archive |
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ftnerc |
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English |
description |
The integration of a FIRe sensor into a glider allows us to map, with high temporal and spatial resolution, phytoplankton physiological responses to physical forcing. Different missions were designed to evaluate the temporal and spatial variability of phytoplankton physiology by using a drift and a station keeping mission, respectively. Diel cycles collected show a clear diurnal variations driven by incident radiation, with both maximal fluorescence and photosynthetic efficiency (in any light adapted phytoplankton) showing reduced values only in the upper 10-15 meters of the water column at the highest irradiances. Further analyses comparing different MLD regimes have shown different photoacclimation responses (light saturation parameter, Ek) resulting from differences in solar radiation exposure conditions (both time and intensity), reflected in the depth of the ML. Further analyses include determining a method to correct the FIRe glider fluorescence profiles in the upper ocean during daytime by comparing the maximum fluorescence during the highest irradiance (daytime) with the lowest irradiance (nighttime). |
format |
Text |
author |
Carvalho, Filipa Kohut, Josh Gorbunov, Maxim Schofield, Oscar Oliver, Matthew J. |
spellingShingle |
Carvalho, Filipa Kohut, Josh Gorbunov, Maxim Schofield, Oscar Oliver, Matthew J. Mapping Antarctic phytoplankton physiology using autonomous gliders |
author_facet |
Carvalho, Filipa Kohut, Josh Gorbunov, Maxim Schofield, Oscar Oliver, Matthew J. |
author_sort |
Carvalho, Filipa |
title |
Mapping Antarctic phytoplankton physiology using autonomous gliders |
title_short |
Mapping Antarctic phytoplankton physiology using autonomous gliders |
title_full |
Mapping Antarctic phytoplankton physiology using autonomous gliders |
title_fullStr |
Mapping Antarctic phytoplankton physiology using autonomous gliders |
title_full_unstemmed |
Mapping Antarctic phytoplankton physiology using autonomous gliders |
title_sort |
mapping antarctic phytoplankton physiology using autonomous gliders |
publishDate |
2016 |
url |
http://nora.nerc.ac.uk/id/eprint/521117/ https://nora.nerc.ac.uk/id/eprint/521117/1/07761193.pdf https://doi.org/10.1109/OCEANS.2016.7761193 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://nora.nerc.ac.uk/id/eprint/521117/1/07761193.pdf Carvalho, Filipa orcid:0000-0002-8355-4329 Kohut, Josh; Gorbunov, Maxim; Schofield, Oscar; Oliver, Matthew J. 2016 Mapping Antarctic phytoplankton physiology using autonomous gliders. In: OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, USA, 19-23 Sept 2016. 1-6. |
op_doi |
https://doi.org/10.1109/OCEANS.2016.7761193 |
container_title |
OCEANS 2016 MTS/IEEE Monterey |
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