Antarctic pack ice algal distribution: Floe-scale spatial variability and predictability from physical parameters
| Type | Article | ||||||||||||
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| Date | 2017-07 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Meiners K. M.1, 2, Arndt S.3, Bestley S.4, Krumpen T.3, Ricker Robert3, 5, Milnes M.1, Newbery K.1, Freier U.6, Jarman S.1, 7, King R.1, Proud R.8, Kawaguchi S.1, 2, Meyer B.9, 10, 11 | ||||||||||||
| Affiliation(s) | 1 : Australian Antarctic Div, Dept Environm & Energy, Kingston, Tas, Australia. 2 : Univ Tasmania, Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia. 3 : Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Sea Ice Phys, Bremerhaven, Germany. 4 : Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia. 5 : Univ Brest, CNRS, Lab Oceanog Phys & Spatiale, IFREMER,IUEM,IRD, Brest, France. 6 : SC Sci Consulting, Neuss, Germany. 7 : Univ Porto, Ctr Invest Biodiversidade & Recursos Genet, CIBIO InBIO, Vairao, Portugal. 8 : Univ St Andrews, Scottish Oceans Inst, Gatty Marine Lab, Pelag Ecol Res Grp, St Andrews, Fife, Scotland. 9 : Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Polar Biol Oceanog, Bremerhaven, Germany. 10 : Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany. 11 : Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany. |
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| Source | Geophysical Research Letters (0094-8276) (Amer Geophysical Union), 2017-07 , Vol. 44 , N. 14 , P. 7382-7390 | ||||||||||||
| DOI | 10.1002/2017GL074346 | ||||||||||||
| WOS© Times Cited | 26 | ||||||||||||
| Keyword(s) | sea ice properties, snow, freeboard, chlorophyll a, ice algae, biomass | ||||||||||||
| Abstract | 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 < 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 (r(2) = 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. |
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