DOI: 10.1002/2017JC013711
Scopus记录号: 2-s2.0-85045918589
论文题名: Estimation of Antarctic Land-Fast Sea Ice Algal Biomass and Snow Thickness From Under-Ice Radiance Spectra in Two Contrasting Areas
作者: Wongpan P. ; Meiners K.M. ; Langhorne P.J. ; Heil P. ; Smith I.J. ; Leonard G.H. ; Massom R.A. ; Clementson L.A. ; Haskell T.G.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 3 起始页码: 1907
结束页码: 1923
语种: 英语
英文关键词: Antarctica
; chlorophyll a
; ice algae
; light transmittance
; sea ice properties
; snow thickness
Scopus关键词: alga
; biomass
; chlorophyll a
; estimation method
; ice thickness
; light
; marine ecosystem
; pack ice
; sea ice
; spatial distribution
; transect
; transmittance
; wavelength
; Antarctica
; algae
英文摘要: 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. © 2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114412
Appears in Collections: 气候减缓与适应
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作者单位: Department of Physics, University of Otago, Dunedin, New Zealand; Department of the Environment and Energy, Australian Antarctic Division, Kingston, TAS, Australia; Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, TAS, Australia; National School of Surveying, University of Otago, Dunedin, New Zealand; CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia; Callaghan Innovation, Lower Hutt, Wellington, New Zealand
Recommended Citation:
Wongpan P.,Meiners K.M.,Langhorne P.J.,et al. Estimation of Antarctic Land-Fast Sea Ice Algal Biomass and Snow Thickness From Under-Ice Radiance Spectra in Two Contrasting Areas[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(3)