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Record W3127604515 · doi:10.3354/meps13647

High growth resilience of subarctic rhodoliths (Lithothamnion glaciale) to ocean warming and chronic low irradiance

2021· article· en· W3127604515 on OpenAlexaffabout
D. Bélanger, Patrick Gagnon

Bibliographic record

VenueMarine Ecology Progress Series · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIrradianceSubarctic climateOceanographyMesocosmEnvironmental scienceBiologyEcologyGeologyOpticsPhysicsEcosystem

Abstract

fetched live from OpenAlex

We paired a 361 d laboratory mesocosm experiment and a 383 d field experiment with rhodoliths ( Lithothamnion glaciale ) collected in Newfoundland (Canada) to test the overall hypothesis that growth in subarctic rhodoliths is chiefly controlled by irradiance. Rhodoliths in the laboratory were exposed to 1 of 5 seawater temperatures (ambient, 2, 4, 7, and 10°C) and 1 of 3 irradiances (low [0.02], intermediate [0.11], and high [0.27 mol photons m -2 d -1 ]). Rhodoliths in the field were held in cages at 3 depths (8, 15, and 25 m). Laboratory results demonstrated that growth is unaffected by temperatures between ~1 and 16°C. Field results suggested that growth ceases at temperatures near or below 0.5°C and showed that the annual growth profile of L. glaciale comprises 3 distinct phases, namely 2 of positive growth separated by 1 of arrested growth, and that the switch from one phase to the next coincides with seasonal shifts in sea temperature and light regimes. Rhodoliths at 25 m appeared to utilize light nearly twice as efficiently as rhodoliths at 15 m, which enabled similar growth at both depths despite the ~60% lower irradiance at 25 m. We conclude that growth is chiefly controlled by irradiance and that temperature effects may override, but not interact with, those of irradiance during the coldest months of the year. Subarctic L. glaciale rhodoliths are resilient to changes in sea temperature over a relatively broad thermal range, with sustained growth even at temperatures above those normally observed during most of the year in Newfoundland coastal waters and northwards.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.201
Teacher spread0.194 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2021
Admission routes2
Has abstractyes

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