Low lipid and urea effects and inter-tissue comparisons of stable isotope signatures in three nearshore elasmobranchs
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 579:233-238 (2017) - DOI: https://doi.org/10.3354/meps12264 NOTE Low lipid and urea effects and inter-tissue comparisons of stable isotope signatures in three nearshore elasmobranchs Oliver N. Shipley1,2,*, Karen J. Murchie3, Michael G. Frisk1, Edward J. Brooks2, Owen R. O’Shea2, Michael Power4 1School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11790, USA 2Shark Research and Conservation Program, The Cape Eleuthera Institute, Eleuthera, The Bahamas 3Daniel P. Haerther Center for Conservation and Research, John G. Shedd Aquarium, 1200 South Lake Shore Drive, Chicago, IL 60605, USA 4Department of Biology, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada *Corresponding author: oliver.shipley@stonybrook.edu ABSTRACT: Stable isotope analysis of carbon (δ13C) and nitrogen (δ15N) is a common tool used to examine aspects of elasmobranch biology and ecology; however, accurate ecological interpretation of stable isotope values requires knowledge of lipid and urea dynamics, and the variable turnover rates of different tissue types. Here we examined lipid and urea dynamics and inter-tissue comparisons of stable isotope values in 3 nearshore elasmobranch species, the nurse shark Ginglymostoma cirratum, southern stingray Hypanus americanus, and the Atlantic chupare stingray Styracura schmardae. Chemical extraction had no significant effect on δ13C and δ15N values of nurse shark muscle, and southern and chupare stingray fin, suggesting negligible lipid and urea components associated with these tissues. For nurse sharks, δ13C values were higher in muscle compared to dermis and δ15N was lower. The causes of this variability are underpinned by the metabolic variability between tissue types, the physiological function of which remains undetermined. Finally, we observed a significant relationship between muscle and dermis δ13C and δ15N, providing the first inter-tissue isotopic correction for nurse sharks. The results provide insight into lipid and urea dynamics, and aid sample preparation and ecological interpretation of stable isotope data in these taxa. KEY WORDS: Stable isotope analysis · δ13C · δ15N · Elasmobranch · Shark · Stingray · Polar compounds Full text in pdf format Corrigendum PreviousCite this article as: Shipley ON, Murchie KJ, Frisk MG, Brooks EJ, O’Shea OR, Power M (2017) Low lipid and urea effects and inter-tissue comparisons of stable isotope signatures in three nearshore elasmobranchs. Mar Ecol Prog Ser 579:233-238. https://doi.org/10.3354/meps12264 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 579. Online publication date: September 14, 2017 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2017 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 | 0.002 |
| 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".