Evidence map›Paper›PMID 38935686›Full record

ArticlePloS one2024

How strongly does diet variation explain variation in isotope values of animal consumers?

Jean-François Arnoldi, Jenny Rose Bortoluzzi, Hugh Rowland, Chris Harrod, Andrew C Parnell, Nicholas Payne, Ian Donohue, Andrew L Jackson

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Jean-François ArnoldiTheoretical and Experimental Ecology Station, CNRS Moulis, Moulis, France.
Jenny Rose BortoluzziDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
Hugh RowlandIndependent Researcher, Dublin, Ireland.
Chris HarrodInstituto de Ciencias Naturales Alexander von Humboldt, Universidad de Antofagasta, Antofagasta, Chile.ORCID 0000-0002-5353-1556
Andrew C ParnellInsight Centre for Data Analytics, Hamilton Institute, Maynooth University, Kildare, Ireland.
Nicholas PayneDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
Ian DonohueDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.
Andrew L JacksonDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0001-7334-0434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of stable isotopes in consumers is used commonly to study their ecological and/or environmental niche. There is, however, considerable debate regarding how isotopic values relate to diet and how other sources of variation confound this link, which can undermine the utility. From the analysis of a simple, but general, model of isotopic incorporation in consumer organisms, we examine the relationship between isotopic variance among individuals, and diet variability within a consumer population. We show that variance in consumer isotope values is directly proportional to variation in diet (through Simpson indices), to the number of isotopically distinct food sources in the diet, and to the baseline variation within and among the isotope values of the food sources. Additionally, when considering temporal diet variation within a consumer we identify the interplay between diet turnover rates and tissue turnover rates that controls the sensitivity of stable isotopes to detect diet variation. Our work demonstrates that variation in the stable isotope values of consumers reflect variation in their diet. This relationship, however, can be confounded with other factors to the extent that they may mask the signal coming from diet. We show how simple quantitative corrections can recover a direct 1:1 correlation in some situations, and in others we can adjust our interpretation in light of the new understanding arising from our models. Our framework provides guidance for the design and analysis of empirical studies where the goal is to infer niche width from stable isotope data.

Indexed as

DietAnimalsCarbon IsotopesIsotopesCarbon IsotopesIsotopes

Identifiers

PMID38935686
PMCPMC11210776

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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.