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Record W4391656807 · doi:10.1575/1912/67600

Investigating the ocean’s biological pump using thorium-235 and polonium-210

2024· dissertation· en· W4391656807 on OpenAlexfundno aff
Samantha J. Clevenger

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
FundersNatural Environment Research CouncilOcean Frontier InstituteNational Aeronautics and Space Administration
KeywordsBiological pumpBiogenic silicaEnvironmental scienceOceanographyAtmosphere (unit)Photic zoneFlux (metallurgy)Earth scienceEnvironmental chemistryCarbon cyclePhytoplanktonChemistryEcosystemGeologyEcologyMeteorologyNutrientGeography

Abstract

fetched live from OpenAlex

Oceans play a critical role in the Earth’s ability to regulate atmospheric carbon dioxide, absorbing approximately one-third of all anthropogenically-emitted CO2. The biological pump is a mechanism which controls oceanic uptake of CO2 and sequestration of carbon into deeper waters. It is a complex web of processes starting with biota in the upper ocean which transform CO2 into particulate organic carbon (POC) via photosynthesis, a portion of which is ultimately sequestered from the atmosphere. Due to the massive scale of these processes, small changes in the strength of the biological pump can greatly impact atmospheric CO2 levels. Tools used to quantify the flux of biologically relevant elements such as POC and biogenic silica via the biological pump are radioisotopes – naturally-occurring clocks which allow us to look back in time to study oceanic processes. In this thesis, the two radioisotope pairs 234Th/238U and 210Po/210Pb are utilized. Chapter 2 is an update of the 234Th/238U measurement method which simplifies the protocol, and allows for expansion of use. Chapter 3 presents an unprecedentedly extensive, non-steady state study of 234Th/238U to assess POC and biogenic silica flux through NASA’s EXPORTS project. The study involved tracking an eddy for one month in the North Atlantic Ocean to quantify export over the development of a dual-phase plankton spring bloom. In Chapter 4, this study is expanded to add a non-steady state application of the 210Po/210Pb tracer to look farther back in the history of POC and biogenic silica export. Extensive comparison of the two tracer systems results in new-to-the-field conclusions about the concurrent use of tracers. This thesis culminates in Chapter 5, which compares three 234Th/238U studies with community structure data to make inferences about POC export as it relates to who is present in the ecosystem. The EXPORTS North Atlantic dataset is a “strong” export endmember, WHOI’s Ocean Twilight Zone (OTZ) project offers an “intermediate” export case in the Northwest Atlantic Slope, and the EXPORTS North Pacific study is a “weak” export endmember. Taken together, this thesis greatly expands the use of 234Th/238U and 210Po/210Pb tracers to investigate the biological pump in diverse environments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
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 head0.032
GPT teacher head0.247
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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