Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters
Antarctic pack ice serves as habitat for microalgae which contribute to Southern Ocean primary production and serve as important food source for pelagic herbivores. Ice algal biomass is highly patchy and remains severely undersampled by classical methods such as spatially restricted ice coring surve...
Published in: | Geophysical Research Letters |
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Amer Geophysical Union
2017
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Online Access: | https://eprints.utas.edu.au/24658/ https://eprints.utas.edu.au/24658/1/120052.pdf https://doi.org/10.1002/2017GL074346 |
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ftunivtasmania:oai:eprints.utas.edu.au:24658 2023-05-15T13:31:52+02:00 Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters Meiners, KM Arndt, S Bestley, S Krumpen, T Ricker, R Milnes, M Newbery, K Freier, U Jarman, S King, R Proud, RH Kawaguchi, S Meyer, B 2017 application/pdf https://eprints.utas.edu.au/24658/ https://eprints.utas.edu.au/24658/1/120052.pdf https://doi.org/10.1002/2017GL074346 en eng Amer Geophysical Union https://eprints.utas.edu.au/24658/1/120052.pdf Meiners, KM, Arndt, S, Bestley, S orcid:0000-0001-9342-669X , Krumpen, T, Ricker, R, Milnes, M, Newbery, K, Freier, U, Jarman, S, King, R, Proud, RH orcid:0000-0002-8647-5562 , Kawaguchi, S and Meyer, B 2017 , 'Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters' , Geophysical Research Letters, vol. 44, no. 14 , pp. 7382-7380 , doi:10.1002/2017GL074346 <http://dx.doi.org/10.1002/2017GL074346>. Antarctic sea ice algae spatial upscaling Article PeerReviewed 2017 ftunivtasmania https://doi.org/10.1002/2017GL074346 2021-09-06T22:17:30Z Antarctic pack ice serves as habitat for microalgae which contribute to Southern Ocean primary production and serve as important food source for pelagic herbivores. Ice algal biomass is highly patchy and remains severely undersampled by classical methods such as spatially restricted ice coring surveys. Here we provide an unprecedented view of ice algal biomass distribution, mapped (as chlorophyll a) in a 100 m by 100 m area of a Weddell Sea pack ice floe, using under-ice irradiance measurements taken with an instrumented remotely operated vehicle. We identified significant correlations (p r2 = 0.30) indicates that these parameters alone may provide a first basis for spatial prediction of ice algal biomass, but parameterization of additional determinants is needed to inform more robust upscaling efforts. Article in Journal/Newspaper Antarc* Antarctic ice algae Sea ice Southern Ocean Weddell Sea University of Tasmania: UTas ePrints Antarctic Southern Ocean Weddell Weddell Sea Geophysical Research Letters 44 14 7382 7390 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
English |
topic |
Antarctic sea ice algae spatial upscaling |
spellingShingle |
Antarctic sea ice algae spatial upscaling Meiners, KM Arndt, S Bestley, S Krumpen, T Ricker, R Milnes, M Newbery, K Freier, U Jarman, S King, R Proud, RH Kawaguchi, S Meyer, B Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
topic_facet |
Antarctic sea ice algae spatial upscaling |
description |
Antarctic pack ice serves as habitat for microalgae which contribute to Southern Ocean primary production and serve as important food source for pelagic herbivores. Ice algal biomass is highly patchy and remains severely undersampled by classical methods such as spatially restricted ice coring surveys. Here we provide an unprecedented view of ice algal biomass distribution, mapped (as chlorophyll a) in a 100 m by 100 m area of a Weddell Sea pack ice floe, using under-ice irradiance measurements taken with an instrumented remotely operated vehicle. We identified significant correlations (p r2 = 0.30) indicates that these parameters alone may provide a first basis for spatial prediction of ice algal biomass, but parameterization of additional determinants is needed to inform more robust upscaling efforts. |
format |
Article in Journal/Newspaper |
author |
Meiners, KM Arndt, S Bestley, S Krumpen, T Ricker, R Milnes, M Newbery, K Freier, U Jarman, S King, R Proud, RH Kawaguchi, S Meyer, B |
author_facet |
Meiners, KM Arndt, S Bestley, S Krumpen, T Ricker, R Milnes, M Newbery, K Freier, U Jarman, S King, R Proud, RH Kawaguchi, S Meyer, B |
author_sort |
Meiners, KM |
title |
Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
title_short |
Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
title_full |
Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
title_fullStr |
Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
title_full_unstemmed |
Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
title_sort |
antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters |
publisher |
Amer Geophysical Union |
publishDate |
2017 |
url |
https://eprints.utas.edu.au/24658/ https://eprints.utas.edu.au/24658/1/120052.pdf https://doi.org/10.1002/2017GL074346 |
geographic |
Antarctic Southern Ocean Weddell Weddell Sea |
geographic_facet |
Antarctic Southern Ocean Weddell Weddell Sea |
genre |
Antarc* Antarctic ice algae Sea ice Southern Ocean Weddell Sea |
genre_facet |
Antarc* Antarctic ice algae Sea ice Southern Ocean Weddell Sea |
op_relation |
https://eprints.utas.edu.au/24658/1/120052.pdf Meiners, KM, Arndt, S, Bestley, S orcid:0000-0001-9342-669X , Krumpen, T, Ricker, R, Milnes, M, Newbery, K, Freier, U, Jarman, S, King, R, Proud, RH orcid:0000-0002-8647-5562 , Kawaguchi, S and Meyer, B 2017 , 'Antarctic pack ice algal distribution: floe-scale spatial variability and predictability from physical parameters' , Geophysical Research Letters, vol. 44, no. 14 , pp. 7382-7380 , doi:10.1002/2017GL074346 <http://dx.doi.org/10.1002/2017GL074346>. |
op_doi |
https://doi.org/10.1002/2017GL074346 |
container_title |
Geophysical Research Letters |
container_volume |
44 |
container_issue |
14 |
container_start_page |
7382 |
op_container_end_page |
7390 |
_version_ |
1766021698254012416 |