Evidence map›Paper›PMID 25859330›Full record

ArticleEcology and evolution2015

Distance measures and optimization spaces in quantitative fatty acid signature analysis.

Jeffrey F Bromaghin, Karyn D Rode, Suzanne M Budge, Gregory W Thiemann

Abstract read
In one paragraph

Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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  7. Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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  8. Unlocking the power of fatty acids as dietary tracers and metabolic signals in fishes and aquatic invertebrates.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  9. The critical importance of experimentation in biomarker-based trophic ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  10. Dietary fat concentrations influence fatty acid assimilation patterns in Atlantic pollock (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  11. Juvenile Dungeness crabs (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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  12. Article
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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

4 authors.

Jeffrey F BromaghinU.S. Geological Survey, Alaska Science Center 4210 University Drive, Anchorage, Alaska, 99508.
Karyn D RodeU.S. Geological Survey, Alaska Science Center 4210 University Drive, Anchorage, Alaska, 99508.
Suzanne M BudgeProcess Engineering and Applied Science, Dalhousie University Halifax, Nova Scotia, B3H 4R2, Canada.
Gregory W ThiemannFaculty of Environmental Studies, York University 4700 Keele St., Toronto, Ontario, M3J 1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative fatty acid signature analysis has become an important method of diet estimation in ecology, especially marine ecology. Controlled feeding trials to validate the method and estimate the calibration coefficients necessary to account for differential metabolism of individual fatty acids have been conducted with several species from diverse taxa. However, research into potential refinements of the estimation method has been limited. We compared the performance of the original method of estimating diet composition with that of five variants based on different combinations of distance measures and calibration-coefficient transformations between prey and predator fatty acid signature spaces. Fatty acid signatures of pseudopredators were constructed using known diet mixtures of two prey data sets previously used to estimate the diets of polar bears Ursus maritimus and gray seals Halichoerus grypus, and their diets were then estimated using all six variants. In addition, previously published diets of Chukchi Sea polar bears were re-estimated using all six methods. Our findings reveal that the selection of an estimation method can meaningfully influence estimates of diet composition. Among the pseudopredator results, which allowed evaluation of bias and precision, differences in estimator performance were rarely large, and no one estimator was universally preferred, although estimators based on the Aitchison distance measure tended to have modestly superior properties compared to estimators based on the Kullback-Leibler distance measure. However, greater differences were observed among estimated polar bear diets, most likely due to differential estimator sensitivity to assumption violations. Our results, particularly the polar bear example, suggest that additional research into estimator performance and model diagnostics is warranted.

Indexed as

AitchisonChukchi Seadiet compositiongray sealHalichoerus grypusKullback–Leiblerpolar bearQFASAUrsus maritimus

Identifiers

PMID25859330
PMCPMC4377268

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Registered trials

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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.