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Record W6965192903 · doi:10.26092/elib/433

Polar microbioerosion patterns exemplified in Arctic and Antarctic barnacles

2020· article· en· W6965192903 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedia (https://www.suub.uni-bremen.de/) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBioerosionArcticPhotic zoneIntertidal zoneCyanobacteriaLatitudePolarBenthic zoneBarnacle

Abstract

fetched live from OpenAlex

Bioerosion is the degradation of hard substrates by living organisms, primarily in marine environments. The process is an important component of the carbon cycle, it attributes to biosedimentary processes, and it gains attention as the “other ocean acidification problem” acknowledging the acceleration of bioerosion as a consequence of the global climate change. Bioerosion leaves traces in the substrate, which serve as a useful tool to investigate palaeobathymetry or -temperature. Most bioerosion studies were conducted at low latitudes, with a focus on shallow water depths. Few studies were performed in the cold-temperate regions, but almost none at the highest latitudes in the polar seas, thus setting the scene for this doctoral thesis exploring traces of microbial bioerosion in the polar realm. Acorn barnacles from three polar study sites, spanning a wide bathymetrical range, were used as a hard substrate to visualize the microbioerosion traces in their shells by means of scanning electron microscopy of epoxy resin casts. Samples from the Arctic Svalbard archipelago were from the photic intertidal to aphotic water depths of 125 m; from the Frobisher Bay, Canadian Arctic, barnacles from 62 to 94 m were examined; from the Ross Sea, Antarctica, samples originated from 37 m to 1680 m. Each study area was investigated by semi-quantifying and statistically evaluating the ichnodiversity regarding a bathymetric trend and latitudinal gradient. In total, 29 different microendolithic traces formed by cyanobacteria (4), chlorophytes (2), rhodophytes (1), sponges (1), fungi (12), foraminifera (3), bacteria (1), unknown microorganisms (4), and cirripeds (1, macroboring) were recorded in more than 200 samples. Three traces were identified at all three sites, eight traces were found exclusively in Svalbard, one in Frobisher Bay, eight in the Ross Sea, and three were restricted to the Arctic. The inferred trace-makers were mainly organotrophs and expectedly dominated by fungi, as they are very robust and thrive even under harsh environmental conditions. The polar regions are characterized by extreme conditions such as cold temperatures, months of sea ice cover and the cycle of polar day and night. Especially the latter is reflected in a general impoverishment in phototrophic bioeroders, as statistically confirmed in Svalbard. The Svalbard study material enabled the identification and establishment of a previously unknown bioerosion trace that is interpreted as a potential key ichnotaxon for cool- to cold-water (palaeo)environments. Comparisons with studies from lower latitudes led to the conclusion that the ichnodiversity in aphotic water depths is nearly constant across all latitudes. A parallel comparison of all photic zones could not be accomplished due to scarcity of suitable samples from shallow waters caused by the sea-ice abrasion of barnacles and their comparatively limited distribution in shallow water depths in polar environments. The three comprehensive microbioerosion studies are an important step towards a better understanding of polar microbioerosion patterns and allow comparisons with lower latitudes and preliminary findings in a global context. Profound knowledge of bioerosion in polar environments is particularly important considering that the environment in the polar realm is responding to global climate change at an unprecedented pace.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.198
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it