ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020
The potential of fatty acid isotopes to trace trophic transfer in aquatic food-webs.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed, 36 citations in OpenAlex.
- Compound-specific stable isotope analyses of fatty acids indicate feeding zones of zooplankton across the water column of a subalpine lake.Oecologia · 2024Article
- A pilot study of stable isotope fractionation in Bombyx mori rearing.Scientific reports · 2023Article
- Stepwise Approach for Tracing the Geographical Origins of the Manila ClamFoods (Basel, Switzerland) · 2022Article
- Compound-specific stable hydrogen isotope (δRapid communications in mass spectrometry : RCM · 2021Article
- The critical importance of experimentation in biomarker-based trophic ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compound-specific isotope analyses (CSIA) of fatty acids (FA) constitute a promising tool for tracing energy flows in food-webs. However, past applications of FA-specific carbon isotope analyses have been restricted to a relatively coarse food-source separation and mainly quantified dietary contributions from different habitats. Our aim was to evaluate the potential of FA-CSIA to provide high-resolution data on within-system energy flows using algae and zooplankton as model organisms. First, we investigated the power of FA-CSIA to distinguish among four different algae groups, namely cyanobacteria, chlorophytes, haptophytes and diatoms. We found substantial within-group variation but also demonstrated that δ
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