Sea urchin fecal production and accumulation in a rocky subtidal ecosystem
Bibliographic record
Abstract
AB Aquatic Biology Contact the journal Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections AB 13:215-223 (2011) - DOI: https://doi.org/10.3354/ab00359 Sea urchin fecal production and accumulation in a rocky subtidal ecosystem Leah K. Sauchyn1,*, Jean-Sébastien Lauzon-Guay2, Robert E. Scheibling1 1Biology Department, Dalhousie University, Halifax, Nova Scotia B3H 4J1, Canada 2Institut Maurice-Lamontagne, Fisheries and Oceans Canada, Mont-Joli, Québec G5H 3Z4, Canada *Email: leah.sauchyn@dal.ca ABSTRACT: We used a spatial model of destructive grazing of kelp beds by dense aggregations (fronts) of sea urchins Strongylocentrotus droebachiensis, together with measures of sea urchin absorption efficiency and fecal degradation rate, to predict rates of fecal production and accumulation during the transition from a kelp bed to a barrens state in a rocky subtidal ecosystem of Nova Scotia, Canada. The rate of fecal production as dry mass reached 9.17 g m–2 d–1 at 10 yr after the formation of a grazing front, with associated rates of carbon and nitrogen production of 2.12 g C m–2 d–1 and 0.21 g N m–2 d–1. Fecal production rate exceeded the rates of physical, chemical, and microbial degradation, such that up to 193.6 g of feces, 70.2 g of C, and 4.0 g of N accumulated per linear m of front after 10 yr. The extent of sea urchin grazing fronts along the Atlantic coast of Nova Scotia was estimated at 280 km in 2000, which translates to a total fecal production rate of 6423 kg of feces d–1 and an accumulation of 54200 kg of feces after 10 yr of front formation, based on our model. This temporally variable flux of organic matter likely has a profound effect on adjacent deeper-water macrobenthic communities utilizing the feces as a food source. KEY WORDS: Fecal production · Organic matter flux · Degradation · Kelp bed · Sea urchin · Strongylocentrotus droebachiensis Full text in pdf format PreviousNextCite this article as: Sauchyn LK, Lauzon-Guay JS, Scheibling RE (2011) Sea urchin fecal production and accumulation in a rocky subtidal ecosystem. Aquat Biol 13:215-223. https://doi.org/10.3354/ab00359 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in AB Vol. 13, No. 3. Online publication date: September 29, 2011 Print ISSN: 1864-7782; Online ISSN: 1864-7790 Copyright © 2011 Inter-Research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".