Antarctic pack-ice algal distribution : floe-scale spatial variability and predictability from physical parameters

This study was supported by the PACES (Polar Regions and Coasts in a changing Earth System) program (Topic 1, WP 5) of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, the Helmholtz Virtual Institute „PolarTime“ (VH-VI-500: Biological timing in a changing marine environme...

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Published in:Geophysical Research Letters
Main Authors: Meiners, K. M., Arndt, S., Bestley, S., Krumpen, T., Ricker, R., Milnes, M., Newbery, K., Freier, U., Jarman, S., King, R., Proud, R., Kawaguchi, S., Meyer, B.
Other Authors: University of St Andrews. School of Biology, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Pelagic Ecology Research Group
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
DAS
GE
Online Access:http://hdl.handle.net/10023/12630
https://doi.org/10.1002/2017GL074346
http://onlinelibrary.wiley.com/doi/10.1002/2017GL074346/full#footer-support-info
id ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/12630
record_format openpolar
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic Sea-ice properties
Snow
Freeboard
Chlorophyll-a
Ice algae
Biomass
GE Environmental Sciences
QH301 Biology
DAS
GE
QH301
spellingShingle Sea-ice properties
Snow
Freeboard
Chlorophyll-a
Ice algae
Biomass
GE Environmental Sciences
QH301 Biology
DAS
GE
QH301
Meiners, K. M.
Arndt, S.
Bestley, S.
Krumpen, T.
Ricker, R.
Milnes, M.
Newbery, K.
Freier, U.
Jarman, S.
King, R.
Proud, R.
Kawaguchi, S.
Meyer, B.
Antarctic pack-ice algal distribution : floe-scale spatial variability and predictability from physical parameters
topic_facet Sea-ice properties
Snow
Freeboard
Chlorophyll-a
Ice algae
Biomass
GE Environmental Sciences
QH301 Biology
DAS
GE
QH301
description This study was supported by the PACES (Polar Regions and Coasts in a changing Earth System) program (Topic 1, WP 5) of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, the Helmholtz Virtual Institute „PolarTime“ (VH-VI-500: Biological timing in a changing marine environment — clocks and rhythms in polar pelagic organisms), the Helmholtz Alliance “Remote Sensing and Earth System Dynamics” (HA-310); and by the Australian Government through i) Australian Antarctic Science projects (4073, 4298), ii) the Cooperative Research Centres Programme through the Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC), and iii) the Antarctic Gateway Partnership special research initiative through the Australian Research Council. All data used in this study are available through the Australian Antarctic Data Centre as well as PANGAEA (doi.pangaea.de/10.1594/PANGAEA.870706). 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 100m-by-100m 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 <0.001) between algal biomass and concomitant in situ surface measurements of snow depth, ice thickness and estimated sea-ice freeboard levels using a statistical model. The model's explanatory power (r2 = 0.30) indicates that these parameters alone may provide a first basis for spatial prediction of ice algal biomass, but parameterisation of additional determinants is needed to inform more robust upscaling efforts. Publisher PDF Peer reviewed
author2 University of St Andrews. School of Biology
University of St Andrews. Scottish Oceans Institute
University of St Andrews. Pelagic Ecology Research Group
format Article in Journal/Newspaper
author Meiners, K. M.
Arndt, S.
Bestley, S.
Krumpen, T.
Ricker, R.
Milnes, M.
Newbery, K.
Freier, U.
Jarman, S.
King, R.
Proud, R.
Kawaguchi, S.
Meyer, B.
author_facet Meiners, K. M.
Arndt, S.
Bestley, S.
Krumpen, T.
Ricker, R.
Milnes, M.
Newbery, K.
Freier, U.
Jarman, S.
King, R.
Proud, R.
Kawaguchi, S.
Meyer, B.
author_sort Meiners, K. M.
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
publishDate 2018
url http://hdl.handle.net/10023/12630
https://doi.org/10.1002/2017GL074346
http://onlinelibrary.wiley.com/doi/10.1002/2017GL074346/full#footer-support-info
geographic Antarctic
Southern Ocean
The Antarctic
Weddell
Weddell Sea
geographic_facet Antarctic
Southern Ocean
The Antarctic
Weddell
Weddell Sea
genre Alfred Wegener Institute
Antarc*
Antarctic
Antarctic Climate and Ecosystems Cooperative Research Centre
ice algae
Sea ice
Southern Ocean
Weddell Sea
genre_facet Alfred Wegener Institute
Antarc*
Antarctic
Antarctic Climate and Ecosystems Cooperative Research Centre
ice algae
Sea ice
Southern Ocean
Weddell Sea
op_relation Geophysical Research Letters
Meiners , K M , Arndt , S , Bestley , S , Krumpen , T , Ricker , R , Milnes , M , Newbery , K , Freier , U , Jarman , S , King , R , Proud , R , Kawaguchi , S & 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. 7382-7390 . https://doi.org/10.1002/2017GL074346
1944-8007
PURE: 250569526
PURE UUID: bb98c792-b156-47c8-85b0-01c8863ddf64
Bibtex: urn:57d61ee960f8414003f6155995804046
Scopus: 85026463552
ORCID: /0000-0002-8647-5562/work/35710928
WOS: 000407790500033
http://hdl.handle.net/10023/12630
https://doi.org/10.1002/2017GL074346
http://onlinelibrary.wiley.com/doi/10.1002/2017GL074346/full#footer-support-info
op_rights © 2017, Commonwealth of Australia. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at onlinelibrary.wiley.com / https://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
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spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/12630 2023-07-02T03:29:32+02:00 Antarctic pack-ice algal distribution : floe-scale spatial variability and predictability from physical parameters Meiners, K. M. Arndt, S. Bestley, S. Krumpen, T. Ricker, R. Milnes, M. Newbery, K. Freier, U. Jarman, S. King, R. Proud, R. Kawaguchi, S. Meyer, B. University of St Andrews. School of Biology University of St Andrews. Scottish Oceans Institute University of St Andrews. Pelagic Ecology Research Group 2018-01-29 application/pdf http://hdl.handle.net/10023/12630 https://doi.org/10.1002/2017GL074346 http://onlinelibrary.wiley.com/doi/10.1002/2017GL074346/full#footer-support-info eng eng Geophysical Research Letters Meiners , K M , Arndt , S , Bestley , S , Krumpen , T , Ricker , R , Milnes , M , Newbery , K , Freier , U , Jarman , S , King , R , Proud , R , Kawaguchi , S & 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. 7382-7390 . https://doi.org/10.1002/2017GL074346 1944-8007 PURE: 250569526 PURE UUID: bb98c792-b156-47c8-85b0-01c8863ddf64 Bibtex: urn:57d61ee960f8414003f6155995804046 Scopus: 85026463552 ORCID: /0000-0002-8647-5562/work/35710928 WOS: 000407790500033 http://hdl.handle.net/10023/12630 https://doi.org/10.1002/2017GL074346 http://onlinelibrary.wiley.com/doi/10.1002/2017GL074346/full#footer-support-info © 2017, Commonwealth of Australia. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at onlinelibrary.wiley.com / https://doi.org/10.1002/2017GL074346 Sea-ice properties Snow Freeboard Chlorophyll-a Ice algae Biomass GE Environmental Sciences QH301 Biology DAS GE QH301 Journal article 2018 ftstandrewserep https://doi.org/10.1002/2017GL074346 2023-06-13T18:30:25Z This study was supported by the PACES (Polar Regions and Coasts in a changing Earth System) program (Topic 1, WP 5) of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, the Helmholtz Virtual Institute „PolarTime“ (VH-VI-500: Biological timing in a changing marine environment — clocks and rhythms in polar pelagic organisms), the Helmholtz Alliance “Remote Sensing and Earth System Dynamics” (HA-310); and by the Australian Government through i) Australian Antarctic Science projects (4073, 4298), ii) the Cooperative Research Centres Programme through the Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC), and iii) the Antarctic Gateway Partnership special research initiative through the Australian Research Council. All data used in this study are available through the Australian Antarctic Data Centre as well as PANGAEA (doi.pangaea.de/10.1594/PANGAEA.870706). 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 100m-by-100m 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 <0.001) between algal biomass and concomitant in situ surface measurements of snow depth, ice thickness and estimated sea-ice freeboard levels using a statistical model. The model's explanatory power (r2 = 0.30) indicates that these parameters alone may provide a first basis for spatial prediction of ice algal biomass, but parameterisation of additional determinants is needed to inform more robust upscaling efforts. Publisher PDF Peer reviewed Article in Journal/Newspaper Alfred Wegener Institute Antarc* Antarctic Antarctic Climate and Ecosystems Cooperative Research Centre ice algae Sea ice Southern Ocean Weddell Sea University of St Andrews: Digital Research Repository Antarctic Southern Ocean The Antarctic Weddell Weddell Sea Geophysical Research Letters 44 14 7382 7390