Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas
Fast ice is an important component of Antarctic coastal marine ecosystems, providing a prolific habitat for ice algal communities. This work examines the relationships between normalized difference indices (NDI) calculated from under‐ice radiance measurements and sea ice algal biomass and snow thick...
Published in: | Journal of Geophysical Research: Oceans |
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Online Access: | https://doi.org/10.1002/2017JC013711 http://ecite.utas.edu.au/129186 |
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ftunivtasecite:oai:ecite.utas.edu.au:129186 2023-05-15T13:42:40+02:00 Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas Wongpan, P Meiners, KM Langhorne, PJ Heil, P Smith, IJ Leonard, GH Massom, RA Clementson, LA Haskell, TG 2018 application/pdf https://doi.org/10.1002/2017JC013711 http://ecite.utas.edu.au/129186 en eng Wiley-Blackwell Publishing, Inc. http://ecite.utas.edu.au/129186/1/129186 - Estimation of Antarctic land-fast sea ice algal biomass.pdf http://dx.doi.org/10.1002/2017JC013711 Wongpan, P and Meiners, KM and Langhorne, PJ and Heil, P and Smith, IJ and Leonard, GH and Massom, RA and Clementson, LA and Haskell, TG, Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas, Journal of Geophysical Research: Oceans, 123, (3) pp. 1907-1923. ISSN 2169-9275 (2018) [Refereed Article] http://ecite.utas.edu.au/129186 Earth Sciences Physical geography and environmental geoscience Glaciology Refereed Article PeerReviewed 2018 ftunivtasecite https://doi.org/10.1002/2017JC013711 2022-08-29T22:17:26Z Fast ice is an important component of Antarctic coastal marine ecosystems, providing a prolific habitat for ice algal communities. This work examines the relationships between normalized difference indices (NDI) calculated from under‐ice radiance measurements and sea ice algal biomass and snow thickness for Antarctic fast ice. While this technique has been calibrated to assess biomass in Arctic fast ice and pack ice, as well as Antarctic pack ice, relationships are currently lacking for Antarctic fast ice characterized by bottom ice algae communities with high algal biomass. We analyze measurements along transects at two contrasting Antarctic fast ice sites in terms of platelet ice presence: near and distant from an ice shelf, i.e., in McMurdo Sound and off Davis Station, respectively. Snow and ice thickness, and ice salinity and temperature measurements support our paired in situ optical and biological measurements. Analyses show that NDI wavelength pairs near the first chlorophyll a (chl a ) absorption peak (≈440 nm) explain up to 70% of the total variability in algal biomass. Eighty‐eight percent of snow thickness variability is explained using an NDI with a wavelength pair of 648 and 567 nm. Accounting for pigment packaging effects by including the ratio of chl a ‐specific absorption coefficients improved the NDI‐based algal biomass estimation only slightly. Our new observation‐based algorithms can be used to estimate Antarctic fast ice algal biomass and snow thickness noninvasively, for example, by using moored sensors (time series) or mapping their spatial distributions using underwater vehicles. Article in Journal/Newspaper Antarc* Antarctic Arctic ice algae Ice Shelf McMurdo Sound Sea ice eCite UTAS (University of Tasmania) Arctic Antarctic McMurdo Sound Davis Station ENVELOPE(77.968,77.968,-68.576,-68.576) Davis-Station ENVELOPE(77.968,77.968,-68.576,-68.576) Journal of Geophysical Research: Oceans 123 3 1907 1923 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Earth Sciences Physical geography and environmental geoscience Glaciology |
spellingShingle |
Earth Sciences Physical geography and environmental geoscience Glaciology Wongpan, P Meiners, KM Langhorne, PJ Heil, P Smith, IJ Leonard, GH Massom, RA Clementson, LA Haskell, TG Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
topic_facet |
Earth Sciences Physical geography and environmental geoscience Glaciology |
description |
Fast ice is an important component of Antarctic coastal marine ecosystems, providing a prolific habitat for ice algal communities. This work examines the relationships between normalized difference indices (NDI) calculated from under‐ice radiance measurements and sea ice algal biomass and snow thickness for Antarctic fast ice. While this technique has been calibrated to assess biomass in Arctic fast ice and pack ice, as well as Antarctic pack ice, relationships are currently lacking for Antarctic fast ice characterized by bottom ice algae communities with high algal biomass. We analyze measurements along transects at two contrasting Antarctic fast ice sites in terms of platelet ice presence: near and distant from an ice shelf, i.e., in McMurdo Sound and off Davis Station, respectively. Snow and ice thickness, and ice salinity and temperature measurements support our paired in situ optical and biological measurements. Analyses show that NDI wavelength pairs near the first chlorophyll a (chl a ) absorption peak (≈440 nm) explain up to 70% of the total variability in algal biomass. Eighty‐eight percent of snow thickness variability is explained using an NDI with a wavelength pair of 648 and 567 nm. Accounting for pigment packaging effects by including the ratio of chl a ‐specific absorption coefficients improved the NDI‐based algal biomass estimation only slightly. Our new observation‐based algorithms can be used to estimate Antarctic fast ice algal biomass and snow thickness noninvasively, for example, by using moored sensors (time series) or mapping their spatial distributions using underwater vehicles. |
format |
Article in Journal/Newspaper |
author |
Wongpan, P Meiners, KM Langhorne, PJ Heil, P Smith, IJ Leonard, GH Massom, RA Clementson, LA Haskell, TG |
author_facet |
Wongpan, P Meiners, KM Langhorne, PJ Heil, P Smith, IJ Leonard, GH Massom, RA Clementson, LA Haskell, TG |
author_sort |
Wongpan, P |
title |
Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
title_short |
Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
title_full |
Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
title_fullStr |
Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
title_full_unstemmed |
Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
title_sort |
estimation of antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas |
publisher |
Wiley-Blackwell Publishing, Inc. |
publishDate |
2018 |
url |
https://doi.org/10.1002/2017JC013711 http://ecite.utas.edu.au/129186 |
long_lat |
ENVELOPE(77.968,77.968,-68.576,-68.576) ENVELOPE(77.968,77.968,-68.576,-68.576) |
geographic |
Arctic Antarctic McMurdo Sound Davis Station Davis-Station |
geographic_facet |
Arctic Antarctic McMurdo Sound Davis Station Davis-Station |
genre |
Antarc* Antarctic Arctic ice algae Ice Shelf McMurdo Sound Sea ice |
genre_facet |
Antarc* Antarctic Arctic ice algae Ice Shelf McMurdo Sound Sea ice |
op_relation |
http://ecite.utas.edu.au/129186/1/129186 - Estimation of Antarctic land-fast sea ice algal biomass.pdf http://dx.doi.org/10.1002/2017JC013711 Wongpan, P and Meiners, KM and Langhorne, PJ and Heil, P and Smith, IJ and Leonard, GH and Massom, RA and Clementson, LA and Haskell, TG, Estimation of Antarctic land-fast sea ice algal biomass and snow thickness from under-ice radiance spectra in two contrasting areas, Journal of Geophysical Research: Oceans, 123, (3) pp. 1907-1923. ISSN 2169-9275 (2018) [Refereed Article] http://ecite.utas.edu.au/129186 |
op_doi |
https://doi.org/10.1002/2017JC013711 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
123 |
container_issue |
3 |
container_start_page |
1907 |
op_container_end_page |
1923 |
_version_ |
1766171070257168384 |