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Record W3214446218

Compound Specific Isotope Analysis of Invertebrate Tissues: Determining Nitrogen Variability in Coastal Nova Scotia

2020· article· en· W3214446218 on OpenAlexaboutno aff
Rachel Noddle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaInvertebrateIsotope analysisOceanographyEnvironmental scienceNova (rocket)Stable isotope ratioδ15NEcologyBiologyGeologyδ13CEngineering
DOInot available

Abstract

fetched live from OpenAlex

Anthropogenic nitrogen (N) loading in coastal marine environments causes eutrophication, alters food web structures, and degrades water quality. In Nova Scotia, anthropogenic N sources are introduced to coastal waters through multiple sources including sewage wastewater outfalls, seafood processing, aquaculture, and agricultural runo . Di erent N sources have characteristic isotopic ( 15N) signatures that can be traced using bioindicator organisms to map the spatial variability of 15N along the coastline. Organisms such as the blue mussel (Mytilus edulis) integrate the isotopic 15N composition of their local environment by feeding on particulate organic matter and integrating it into their tissues over several months. Mussels are ideal bio-indicators for this study because they are sessile organisms that are found along the rocky intertidal zone of the province's coastline, preserving the biogeochemical variability of their collection sites. This allows us to map the spatial variability of 15N to help identify sources of N in a region with few previous N measurements. Specimens of M. edulis were collected in triplicate from 21 sites across the province's Atlantic and Northumberland coasts. The adductor muscle of M. edulis was isolated from the rest of the tissue, removed, and freeze-dried for 15N analysis. Within-site variability was considerably low (mean of standard deviation = 0.56‰), indicating narrow variability within specimens at each site. There was, however, a wide range of mean 15N values between sites, ranging from 6.80 ± 0.27 ‰ to 11.08 ± 1.00 ‰ (n=21). To re ne these baseline 15N estimates independent of trophic fractionation, 8 sites with the largest 15N ranges were selected for compound speci c isotope analysis (CSI-AA). Amino acids were isolated for 15N analysis through acid hydrolysis, cation exchange and isopropyl TFAA derivatization. Individual amino acid values ranged from -7.5 ‰ to 18.1 ‰ (SD=5.5; n=250). Phenylalanine (Phe) is the best amino acid proxy for baseline 15N Phe values and ranged from 2.4 ± 1.2 ‰ to 7.8 ± 0.9 ‰; n=22. This variability re ects similar trends in the bulk 15N values, indicating that the local variability seen in M. edulis 15N likely re ects inputs of di erent nitrogen sources speci c to each sample site. This study pairs the novel CSI-AA approach with traditional nutrient data and bulk 15N analysis to generate estimates of baseline 15N variability for the Northumberland and Atlantic coasts of Nova Scotia.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

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

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 head0.024
GPT teacher head0.248
Teacher spread0.224 · 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
Published2020
Admission routes1
Has abstractno

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