Evidence map›Paper›PMID 25433693›Full record

ArticleOecologia2015

Geometry of nutrition in field studies: an illustration using wild primates.

David Raubenheimer, Gabriel E Machovsky-Capuska, Colin A Chapman, Jessica M Rothman

Abstract read
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In one paragraph

Article in Oecologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Nutrient niche dynamics among wild pollinators.Proceedings. Biological sciences · 2025
    Article
  6. Article
  7. Response of fruit fly (Physiological entomology · 2024
    Article
  8. Article
  9. Towards an integrated understanding of dietary phenotypes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  10. Protein appetite as an integrator in the obesity system: the protein leverage hypothesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Wins and losses in intergroup conflicts reflect energy balance in red-tailed monkeys.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  15. Review
  16. Phenotyping ofBiomolecules · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Preferences for nutrients and sensory food qualities identify biological sources of economic values in monkeys.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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.

David RaubenheimerFaculty of Veterinary Science, The Charles Perkins Centre, School of Biological Sciences, University of Sydney, Sydney, Australia, david.raubenheimer@sydney.edu.au.
Gabriel E Machovsky-Capuska
Colin A Chapman
Jessica M Rothman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional geometry has shown the benefits of viewing nutrition in a multidimensional context, in which foraging is viewed as a process of balancing the intake and use of multiple nutrients. New insights into nutrient regulation have been generated in studies performed in a laboratory context, where accurate measures of amounts (e.g. eaten, converted to body mass, excreted) can be made and analysed using amounts-based nutritional geometry. In most field situations, however, proportional compositions (e.g. of foods, diets, faeces) are the only measures readily available, and in some cases are more relevant to the problem at hand. For this reason, a complementary geometric method was recently introduced for analysing multi-dimensional data on proportional compositions in nutritional studies, called the right-angled mixture triangle (RMT). We use literature data from field studies of primates to demonstrate how the RMT can provide insight into a variety of important concepts in nutritional ecology. We first compare the compositions of foods, using as an example primate milks collected in both the wild and the laboratory. We next compare the diets of different species of primates from the same habitat and of the same species (mountain gorillas) from two distinct forests. Subsequently, we model the relationships between the composition of gorilla diets in these two habitats and the foods that comprise these diets, showing how such analyses can provide evidence for active nutrient-specific regulation in a field context. We provide a framework to relate concepts developed in laboratory studies with field-based studies of nutrition.

Indexed as

Animals, WildDietEcosystemFoodGorilla gorillaNutritional StatusAnimalsBehavior, AnimalModels, BiologicalPrimates

Identifiers

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.