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Record W2138374249

Pacific salmon and sediment flocculation: nutrient cycling and intergravel habitat quality.

2006· article· en· W2138374249 on OpenAlexaff
John F. Rex, Ellen L. Petticrew

Bibliographic record

VenueIAHS-AISH publication · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsSedimentBenthic zoneSTREAMSEnvironmental scienceOrganic matterFlumeNutrientEutrophicationHabitatCyclingWater qualityHydrology (agriculture)SedimentationFlocculationEcologyFisheryOceanographyGeologyEnvironmental engineeringBiologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Salmon derived sediment flocs form during post-spawning die-off when organic matter from salmon carcasses combines with fine inorganic suspended sediments. These flocs deliver salmon derived nutrients to the stream bed where they enter the stream's trophic network. To assess the influence of these mixed origin sediments on salmon stream benthic habitat, a re-circulating flume was constructed and seeded with gravel of a similar size to that from regional natal salmon streams. Flume conditions for water depth, velocity, and suspended sediment were also similar to regional natal salmon streams. Following the addition of salmon organic matter, intergravel habitat quality was observed to change in three ways: (i) the proportion of silts (10-63 µm) increased, (ii) the carbon to nitrogen ratio decreased, and (iii) the biological oxygen demand of sediments increased. These preliminary results provide direct evidence that salmon derived organic matter influences the composition of inorganic sediments in, and the habitat quality of, the streambed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.413

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)0.0000.000

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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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.

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

Citations4
Published2006
Admission routes1
Has abstractyes

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