Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores

Abstract Ice-associated microalgae make a significant seasonal contribution to primary production and biogeochemical cycling in polar regions. However, the distribution of algal cells is driven by strong physicochemical gradients which lead to a degree of microspatial variability in the microbial bi...

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Autores principales:	Emiliano Cimoli, Vanessa Lucieer, Klaus M. Meiners, Arjun Chennu, Katerina Castrisios, Ken G. Ryan, Lars Chresten Lund-Hansen, Andrew Martin, Fraser Kennedy, Arko Lucieer
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7fbae12bd6e74dd4b09f4aecb0db44bd
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spelling	oai:doaj.org-article:7fbae12bd6e74dd4b09f4aecb0db44bd2021-12-02T13:58:25ZMapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores10.1038/s41598-020-79084-62045-2322https://doaj.org/article/7fbae12bd6e74dd4b09f4aecb0db44bd2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79084-6https://doaj.org/toc/2045-2322Abstract Ice-associated microalgae make a significant seasonal contribution to primary production and biogeochemical cycling in polar regions. However, the distribution of algal cells is driven by strong physicochemical gradients which lead to a degree of microspatial variability in the microbial biomass that is significant, but difficult to quantify. We address this methodological gap by employing a field-deployable hyperspectral scanning and photogrammetric approach to study sea-ice cores. The optical set-up facilitated unsupervised mapping of the vertical and horizontal distribution of phototrophic biomass in sea-ice cores at mm-scale resolution (using chlorophyll a [Chl a] as proxy), and enabled the development of novel spectral indices to be tested against extracted Chl a (R2 ≤ 0.84). The modelled bio-optical relationships were applied to hyperspectral imagery captured both in situ (using an under-ice sliding platform) and ex situ (on the extracted cores) to quantitatively map Chl a in mg m−2 at high-resolution (≤ 2.4 mm). The optical quantification of Chl a on a per-pixel basis represents a step-change in characterising microspatial variation in the distribution of ice-associated algae. This study highlights the need to increase the resolution at which we monitor under-ice biophysical systems, and the emerging capability of hyperspectral imaging technologies to deliver on this research goal.Emiliano CimoliVanessa LucieerKlaus M. MeinersArjun ChennuKaterina CastrisiosKen G. RyanLars Chresten Lund-HansenAndrew MartinFraser KennedyArko LucieerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Emiliano Cimoli Vanessa Lucieer Klaus M. Meiners Arjun Chennu Katerina Castrisios Ken G. Ryan Lars Chresten Lund-Hansen Andrew Martin Fraser Kennedy Arko Lucieer Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
description	Abstract Ice-associated microalgae make a significant seasonal contribution to primary production and biogeochemical cycling in polar regions. However, the distribution of algal cells is driven by strong physicochemical gradients which lead to a degree of microspatial variability in the microbial biomass that is significant, but difficult to quantify. We address this methodological gap by employing a field-deployable hyperspectral scanning and photogrammetric approach to study sea-ice cores. The optical set-up facilitated unsupervised mapping of the vertical and horizontal distribution of phototrophic biomass in sea-ice cores at mm-scale resolution (using chlorophyll a [Chl a] as proxy), and enabled the development of novel spectral indices to be tested against extracted Chl a (R2 ≤ 0.84). The modelled bio-optical relationships were applied to hyperspectral imagery captured both in situ (using an under-ice sliding platform) and ex situ (on the extracted cores) to quantitatively map Chl a in mg m−2 at high-resolution (≤ 2.4 mm). The optical quantification of Chl a on a per-pixel basis represents a step-change in characterising microspatial variation in the distribution of ice-associated algae. This study highlights the need to increase the resolution at which we monitor under-ice biophysical systems, and the emerging capability of hyperspectral imaging technologies to deliver on this research goal.
format	article
author	Emiliano Cimoli Vanessa Lucieer Klaus M. Meiners Arjun Chennu Katerina Castrisios Ken G. Ryan Lars Chresten Lund-Hansen Andrew Martin Fraser Kennedy Arko Lucieer
author_facet	Emiliano Cimoli Vanessa Lucieer Klaus M. Meiners Arjun Chennu Katerina Castrisios Ken G. Ryan Lars Chresten Lund-Hansen Andrew Martin Fraser Kennedy Arko Lucieer
author_sort	Emiliano Cimoli
title	Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
title_short	Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
title_full	Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
title_fullStr	Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
title_full_unstemmed	Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
title_sort	mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/7fbae12bd6e74dd4b09f4aecb0db44bd
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Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores

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