Literature DB >> 24072795

Isotope turnover rates and diet-tissue discrimination in skin of ex situ bottlenose dolphins (Tursiops truncatus).

Nicole E Browning1, Christopher Dold, Jack I-Fan, Graham A J Worthy.   

Abstract

Diet-tissue discrimination factors (Δ(15)N or Δ(13)C) and turnover times are thought to be influenced by a wide range of variables including metabolic rate, age, dietary quality, tissue sampled and the taxon being investigated. In the present study, skin samples were collected from ex situ dolphins that had consumed diets of known isotopic composition for a minimum of 8 weeks. Adult dolphins consuming a diet of low fat (5-6%) and high δ(15)N value had significantly lower Δ(15)N values than animals consuming a diet with high fat (13.9%) and low δ(15)N value. Juvenile dolphins consuming a diet with low fat and an intermediate δ(15)N value had significantly higher Δ(15)N values than adults consuming the same diet. Calculated half-lives for δ(15)N ranged from 14 to 23 days (17.2 ± 1.3 days). Half-lives for δ(13)C ranged from 11 to 23 days with a significant difference between low fat (13.9 ± 4.8 days) and high fat diets (22.0 ± 0.5 days). Overall, our results indicate that while assuming a Δ(13)C value of 1‰ may be appropriate for cetaceans, Δ(15)N values may be closer to 1.5‰ rather than the commonly assumed 3‰. Our data also suggest that understanding seasonal variability in prey composition is another significant consideration when applying discrimination factors or turnover times to field studies focused on feeding habits. Isotope retention times of only a few weeks suggest that, in addition, these isotope data could play an important role in interpreting recent fine-scale habitat utilization and residency patterns.

Entities:  

Keywords:  Cetaceans; Feeding habits; Isotope turnover time

Mesh:

Substances:

Year:  2013        PMID: 24072795     DOI: 10.1242/jeb.093963

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  12 in total

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3.  Evidence for dietary time series in layers of cetacean skin using stable carbon and nitrogen isotope ratios.

Authors:  Lauren A Wild; Ellen M Chenoweth; Franz J Mueter; Janice M Straley
Journal:  Rapid Commun Mass Spectrom       Date:  2018-08-30       Impact factor: 2.419

4.  Latitudinal variation in ecological opportunity and intraspecific competition indicates differences in niche variability and diet specialization of Arctic marine predators.

Authors:  David J Yurkowski; Steve Ferguson; Emily S Choy; Lisa L Loseto; Tanya M Brown; Derek C G Muir; Christina A D Semeniuk; Aaron T Fisk
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5.  Lipid normalization and stable isotope discrimination in Pacific walrus tissues.

Authors:  Casey T Clark; Lara Horstmann; Nicole Misarti
Journal:  Sci Rep       Date:  2019-04-10       Impact factor: 4.379

6.  Isotopic composition of the eastern gray whale epidermis indicates contribution of prey outside Arctic feeding grounds.

Authors:  Michelle Gelippi; Javier Caraveo-Patiño; Marco F W Gauger; Brian N Popp; Simone Panigada; Rocío Marcín-Medina
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7.  Developing a new research tool for use in free-ranging cetaceans: recovering cortisol from harbour porpoise skin.

Authors:  Thea Bechshoft; Andrew J Wright; Johan J Weisser; Jonas Teilmann; Rune Dietz; Martin Hansen; Erland Björklund; Bjarne Styrishave
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Authors:  Rocio I Ruiz-Cooley; Tim Gerrodette; Paul C Fiedler; Susan J Chivers; Kerri Danil; Lisa T Ballance
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9.  Estimating blue whale skin isotopic incorporation rates and baleen growth rates: Implications for assessing diet and movement patterns in mysticetes.

Authors:  Geraldine Busquets-Vass; Seth D Newsome; John Calambokidis; Gabriela Serra-Valente; Jeff K Jacobsen; Sergio Aguíñiga-García; Diane Gendron
Journal:  PLoS One       Date:  2017-05-31       Impact factor: 3.240

10.  Exploring variability in the diet of depredating sperm whales in the Gulf of Alaska through stable isotope analysis.

Authors:  Lauren A Wild; Franz Mueter; Briana Witteveen; Janice M Straley
Journal:  R Soc Open Sci       Date:  2020-03-11       Impact factor: 2.963

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