Evidence map›Paper›PMID 40514633›Full record

ArticleAnimal cognition2025

Can African elephants use leaf colour as a visual cue when making foraging decisions?

Claire L Peinke, Adrian M Shrader

Abstract read
In one paragraph

Article in Animal cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Claire L PeinkeDepartment of Zoology & Entomology, University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa. clairepeinke@gmail.com.ORCID http://orcid.org/0000-0003-4525-3653
Adrian M ShraderDepartment of Zoology & Entomology, University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.ORCID http://orcid.org/0000-0002-6451-6132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding food is one of the most important aspects of an animal’s life. Yet, locating it can be challenging as the availability and quality of food varies both spatially and temporarily. To overcome these challenges, mammalian herbivores may use spatial memory or senses such as smell and vision. Recent studies have found that African elephants (Loxodonta africana) use olfactory cues to locate food patches and to select plants to eat within these patches. However, the extent to which they may also use visual cues, such as those associated with leaf colour, a proxy for food quality, when making foraging decisions is unknown. To address this knowledge gap, we tested whether African elephants were able to discriminate differences in leaf colour (i.e., light green: high-quality new growth, dark green: lower quality old growth, brown: poor-quality senesced vegetation) over a range of distances (i.e., 3, 5, 10, 20, 40, 80 m). Testing four semi-tame elephants using visual-based choice experiments between different coloured canvases, we found that the elephants were able to discriminate colour differences at close range (i.e., ≤10 m), but not beyond. This suggests that when feeding within a patch, African elephants may utilise the visual cues associated with leaf colour to help locate high-quality food (e.g., individual trees, branches, and leaves) and thus increase their foraging efficiency. However, as they were unable to discriminate between the different colours over distances > 10 m, it is unlikely that they use colour when making long-range foraging decisions such as selecting feeding patches.

Indexed as

ElephantsFeeding BehaviorPlant LeavesAnimalsChoice BehaviorColorCuesDecision MakingFemaleMaleChoice experimentsDistanceForaging decisionsLoxodonta africanaPatch choiceVision

Identifiers

PMID40514633
PMCPMC12166006

What OpenQuestion holds

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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.