Effects of epibenthic predators in flow: transport and mortality of juveniles of the soft shell clam Mya arenaria
Bibliographic record
Abstract
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 279:151-160 (2004) - doi:10.3354/meps279151 Effects of epibenthic predators in flow: transport and mortality of juveniles of the soft shell clam Mya arenaria Heather L. Hunt* Institute of Marine and Coastal Sciences, Rutgers University, 71 Dudley Rd., New Brunswick, 08901 New Jersey, USA Present address: Biology Department, University of New Brunswick, PO Box 5050, Saint John, New Brunswick, E2L 4L5, Canada *Email: hhunt@unbsj.ca ABSTRACT: During the early post-settlement period, dispersal and predation can drastically alter patterns of distribution and abundance of benthic invertebrates. These 2 processes may interact if predators cause disturbance and alter rates of transport of juvenile clams. In this study, experiments were conducted in an annular flume to examine the effect of 2 epibenthic predators, the seven-spine bay shrimp Crangon septemspinosa and juveniles of the green crab Carcinus maenas, on rates of erosion and mortality of juvenile soft shell clams Mya arenaria. Clams were exposed to 2 flow speeds (u = 9 cm s-1, shear velocity u* = 0.30 cm s-1 and u = 27 cm s-1, u* = 0.97 cm s-1) in the presence and absence of predators. Erosion of sediment and clams, and formation of ripples occurred at the high-flow velocity only in the presence of shrimp. This also occurred when shrimp disturbed the sediment prior to the experimental run, suggesting that shrimp activity changed bottom topography and the erosion threshold of the sediment. Juvenile green crabs caused less disturbance of the sediment and their activities did not result in transport of sediment or clams. Gut content analysis indicated that juvenile green crabs preyed on juvenile M. arenaria. Shrimp preyed on clams in 1 of 2 experiments, probably due to a difference in size of clams between experiments (shell length = 1.0 vs. 3.0 mm). This study demonstrates that, in addition to causing mortality, predators can indirectly affect their prey by causing transport of sediment and associated small benthic invertebrates. KEY WORDS: Predators · Postlarval dispersal · Bivalves · Sediment transport Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 279. Online publication date: September 28, 2004 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2004 Inter-Research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.002 |
| Scholarly communication | 0.000 | 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 teacher head, 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".