Evidence map›Paper›PMID 33318636›Full record

ArticleScientific reports2020

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

Emiliano Cimoli, Vanessa Lucieer, Klaus M Meiners, Arjun Chennu, Katerina Castrisios, Ken G Ryan, Lars Chresten Lund-Hansen, Andrew Martin, Fraser Kennedy, Arko Lucieer

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Emiliano CimoliInstitute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia. emiliano.cimoli@utas.edu.au.
Vanessa LucieerInstitute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia.
Klaus M MeinersAustralian Antarctic Division, Department of Agriculture, Water and the Environment, Kingston, TAS, 7050, Australia.
Arjun ChennuMax Planck Institute for Marine Microbiology, Celsiusstr. 1, 28359, Bremen, Germany.
Katerina CastrisiosInstitute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia.
Ken G RyanSchool of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.
Lars Chresten Lund-HansenAquatic Biology, Department of Bioscience, Aarhus University, Ole Worms Allé 1, Building 1134, 8000, Aarhus C, Denmark.
Andrew MartinInstitute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia.
Fraser KennedyInstitute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Private Bag 129, Hobart, TAS, 7001, Australia.
Arko LucieerDiscipline of Geography and Spatial Sciences, School of Technology, Environments and Design, College of Sciences and Engineering, University of Tasmania, Private Bag 76, Hobart, TAS, 7001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (R

Identifiers

PMID33318636
PMCPMC7736878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.