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Record W2617285563 · doi:10.4003/006.035.0109

A Periphyton-Based Diet Results in an Increased Growth Rate Compared to a Detritus-Based Diet in the Invasive New Zealand Mud Snail (<i>Potamopyrgus antipodarum</i>).

2017· article· en· W2617285563 on OpenAlexaboutno aff
Edward P. Levri, Sarah Landis, Brittany Smith

Bibliographic record

VenueAmerican Malacological Bulletin · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
FundersPennsylvania State University
KeywordsPeriphytonDetritusBenthic zoneSnailBiologyInvertebrateEcologyPopulationDetritivoreSedimentAlgae

Abstract

fetched live from OpenAlex

The invasive New Zealand mud snail, Potamopyrgus antipodarum (Gray 1843), has been present in the Laurentian Great Lakes for at least 20 years. Recently, the snail has spread to streams that empty into Lake Ontario. In the deep waters of Lake Ontario, detritus is the common food source for the snails; while in streams periphyton becomes an important part of their diet. This experiment was designed to test the hypothesis that a diet of periphyton will lead to a higher growth rate compared to detritus. Benthic sediment was collected from 18 m depth in Lake Erie. Periphyton was grown on small rocks collected from Spring Run stream in central Pennsylvania. Eighty juvenile snails (0.6–1.0 mm in length) were placed individually into plastic cups and divided into four treatments: control snails that were fed Spirulina powder (standard lab diet), snails kept in lake sediment, snails reared on rocks with periphyton growth, and snails in a combination habitat of rock and lake sediment. After six weeks, the snails were measured again. Snails in the periphyton-only treatment had a significantly greater growth rate than snails in the remaining treatments. The other three treatments resulted in similarly low growth rates. These results suggest that the change in diet from detritus-based to periphyton-based as the snails move from a lake to a stream environment may result in higher individual and possibly population growth rates, and thus could increase their invasion success.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.265
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2017
Admission routes1
Has abstractyes

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