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Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
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 tha...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736878/ https://www.ncbi.nlm.nih.gov/pubmed/33318636 http://dx.doi.org/10.1038/s41598-020-79084-6 |
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author | Cimoli, Emiliano Lucieer, Vanessa Meiners, Klaus M. Chennu, Arjun Castrisios, Katerina Ryan, Ken G. Lund-Hansen, Lars Chresten Martin, Andrew Kennedy, Fraser Lucieer, Arko |
author_facet | Cimoli, Emiliano Lucieer, Vanessa Meiners, Klaus M. Chennu, Arjun Castrisios, Katerina Ryan, Ken G. Lund-Hansen, Lars Chresten Martin, Andrew Kennedy, Fraser Lucieer, Arko |
author_sort | Cimoli, Emiliano |
collection | PubMed |
description | 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 (R(2) ≤ 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 | Online Article Text |
id | pubmed-7736878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77368782020-12-15 Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores Cimoli, Emiliano Lucieer, Vanessa Meiners, Klaus M. Chennu, Arjun Castrisios, Katerina Ryan, Ken G. Lund-Hansen, Lars Chresten Martin, Andrew Kennedy, Fraser Lucieer, Arko Sci Rep Article 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 (R(2) ≤ 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. Nature Publishing Group UK 2020-12-14 /pmc/articles/PMC7736878/ /pubmed/33318636 http://dx.doi.org/10.1038/s41598-020-79084-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cimoli, Emiliano Lucieer, Vanessa Meiners, Klaus M. Chennu, Arjun Castrisios, Katerina Ryan, Ken G. Lund-Hansen, Lars Chresten Martin, Andrew Kennedy, Fraser Lucieer, Arko Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736878/ https://www.ncbi.nlm.nih.gov/pubmed/33318636 http://dx.doi.org/10.1038/s41598-020-79084-6 |
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