↓ Skip to main content

Using Stable Isotope Analysis to Understand the Migration and Trophic Ecology of Northeastern Pacific White Sharks (Carcharodon carcharias)

Overview of attention for article published in PLOS ONE, February 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
facebook
2 Facebook pages

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
445 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using Stable Isotope Analysis to Understand the Migration and Trophic Ecology of Northeastern Pacific White Sharks (Carcharodon carcharias)
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030492
Pubmed ID
Authors

Aaron B. Carlisle, Sora L. Kim, Brice X. Semmens, Daniel J. Madigan, Salvador J. Jorgensen, Christopher R. Perle, Scot D. Anderson, Taylor K. Chapple, Paul E. Kanive, Barbara A. Block

Abstract

The white shark (Carcharodon carcharias) is a wide-ranging apex predator in the northeastern Pacific (NEP). Electronic tagging has demonstrated that white sharks exhibit a regular migratory pattern, occurring at coastal sites during the late summer, autumn and early winter and moving offshore to oceanic habitats during the remainder of the year, although the purpose of these migrations remains unclear. The purpose of this study was to use stable isotope analysis (SIA) to provide insight into the trophic ecology and migratory behaviors of white sharks in the NEP. Between 2006 and 2009, 53 white sharks were biopsied in central California to obtain dermal and muscle tissues, which were analyzed for stable isotope values of carbon (δ(13)C) and nitrogen (δ(15)N). We developed a mixing model that directly incorporates movement data and tissue incorporation (turnover) rates to better estimate the relative importance of different focal areas to white shark diet and elucidate their migratory behavior. Mixing model results for muscle showed a relatively equal dietary contribution from coastal and offshore regions, indicating that white sharks forage in both areas. However, model results indicated that sharks foraged at a higher relative rate in coastal habitats. There was a negative relationship between shark length and muscle δ(13)C and δ(15)N values, which may indicate ontogenetic changes in habitat use related to onset of maturity. The isotopic composition of dermal tissue was consistent with a more rapid incorporation rate than muscle and may represent more recent foraging. Low offshore consumption rates suggest that it is unlikely that foraging is the primary purpose of the offshore migrations. These results demonstrate how SIA can provide insight into the trophic ecology and migratory behavior of marine predators, especially when coupled with electronic tagging data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 445 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Mexico 3 <1%
Brazil 3 <1%
South Africa 3 <1%
Chile 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Mozambique 1 <1%
Uruguay 1 <1%
Other 4 <1%
Unknown 418 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 85 19%
Student > Ph. D. Student 84 19%
Researcher 75 17%
Student > Bachelor 68 15%
Other 24 5%
Other 49 11%
Unknown 60 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 229 51%
Environmental Science 80 18%
Earth and Planetary Sciences 27 6%
Biochemistry, Genetics and Molecular Biology 10 2%
Social Sciences 4 <1%
Other 19 4%
Unknown 76 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2018.
All research outputs
#2,355,086
of 22,663,150 outputs
Outputs from PLOS ONE
#30,050
of 193,502 outputs
Outputs of similar age
#20,041
of 250,716 outputs
Outputs of similar age from PLOS ONE
#452
of 3,563 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,563 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.