Evidence map›Paper›PMID 26233674›Full record

ArticleOecologia2016

From video recordings to whisker stable isotopes: a critical evaluation of timescale in assessing individual foraging specialisation in Australian fur seals.

Laëtitia Kernaléguen, Nicole Dorville, Daniel Ierodiaconou, Andrew J Hoskins, Alastair M M Baylis, Mark A Hindell, Jayson Semmens, Kyler Abernathy, Greg J Marshall, Yves Cherel and 1 more

Abstract read
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In one paragraph

Article in Oecologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 59 citations in OpenAlex.

  1. Vibrissal sensing in mammals in a changing world.The Journal of experimental biology · 2026
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  12. Diet composition of the lizardCurrent zoology · 2020
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  13. A case for environmental statistics of early-life effects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Laëtitia KernaléguenSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia. lkernale@deakin.edu.au.
Nicole DorvilleSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Daniel IerodiaconouSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Andrew J HoskinsSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Alastair M M BaylisSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Mark A HindellInstitute for Marine and Antarctic Studies, University of Tasmania, Sandy Bay, TAS, Australia.
Jayson SemmensInstitute for Marine and Antarctic Studies, University of Tasmania, Sandy Bay, TAS, Australia.
Kyler AbernathyNational Geographic, Remote Imaging Department, Washington, DC, 20036, USA.
Greg J MarshallNational Geographic, Remote Imaging Department, Washington, DC, 20036, USA.
Yves CherelCentre d'Etudes Biologiques de Chizé, UMR 7372 du CNRS-Université de La Rochelle, 79360, Villiers-En-Bois, France.
John P Y ArnouldSchool of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Deakin University · AUNational Geographic Society · USUniversity of Tasmania · AULa Rochelle Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the degree of individual specialisation is likely to be sensitive to the methods used, as they record individuals' resource use over different time-periods. We combined animal-borne video cameras, GPS/TDR loggers and stable isotope values of plasma, red cells and sub-sampled whiskers to investigate individual foraging specialisation in female Australian fur seals (Arctocephalus pusillus doriferus) over various timescales. Combining these methods enabled us to (1) provide quantitative information on individuals' diet, allowing the identification of prey, (2) infer the temporal consistency of individual specialisation, and (3) assess how different methods and timescales affect our estimation of the degree of specialisation. Short-term inter-individual variation in diet was observed in the video data (mean pairwise overlap = 0.60), with the sampled population being composed of both generalist and specialist individuals (nested network). However, the brevity of the temporal window is likely to artificially increase the level of specialisation by not recording the entire diet of seals. Indeed, the correlation in isotopic values was tighter between the red cells and whiskers (mid- to long-term foraging ecology) than between plasma and red cells (short- to mid-term) (R(2) = 0.93-0.73 vs. 0.55-0.41). δ(13)C and δ(15)N values of whiskers confirmed the temporal consistency of individual specialisation. Variation in isotopic niche was consistent across seasons and years, indicating long-term habitat (WIC/TNW = 0.28) and dietary (WIC/TNW = 0.39) specialisation. The results also highlight time-averaging issues (under-estimation of the degree of specialisation) when calculating individual specialisation indices over long time-periods, so that no single timescale may provide a complete and accurate picture, emphasising the benefits of using complementary methods.

Indexed as

DietVideo RecordingAnimalsAustraliaCarbon IsotopesEcosystemErythrocytesFeeding BehaviorFemaleFur SealsNitrogen IsotopesSeasonsTime FactorsVibrissaeCarbon IsotopesNitrogen IsotopesArctocephalus pusillusDietNested networkTime aggregatingVibrissae

Identifiers

PMID26233674
OpenAlexW1844851037

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.