Evidence map›Paper›PMID 41120000›Full record

ArticleProceedings. Biological sciences2025

Humans perceive but animals don't: pitfalls in using plasticine models for assessing biotic interactions.

Xiao Huang, Si-Chong Chen

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Xiao HuangState Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, People's Republic of China.ORCID 0009-0000-4762-8864
Si-Chong ChenState Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, People's Republic of China.ORCID 0000-0002-6855-2595

Funding

National Natural Science Foundation of ChinaWuhan Botanic Garden
6 · The paper itself

Abstract

Observation methods are crucial for understanding ecological processes. One widely used method is the application of plasticine models that visually mimic prey organisms in assessing biotic interactions. However, questions remain about whether this approach may accurately capture specific interaction intensity and types. Here, we initially synthesized previous studies applying plasticine models to quantify different types of biotic interaction. Following the experimental designs in these studies, we deployed 2430 plasticine models with different sizes, shapes and colours, mimicking various prey types, in natural habitats located in two different biomes across multiple seasons. Our results revealed that attack rates were not significantly different among plasticine models with varying characteristics, whether attack marks were pooled or separated by different animal guilds. This suggests that animals may not consistently distinguish visually different plasticine models as distinct prey types, and attack rates on plasticine models may be influenced by overall animal richness and activity levels rather than exclusively reflecting specific biotic interactions. Our study indicates the existence of anthropocentric biases in the application of plasticine models to assess biotic interactions. We highlight the importance of incorporating the habits and behaviours of studied animal taxa in ecological experimental designs to minimize anthropocentric biases and ensure an accurate assessment of ecological processes.

Indexed as

Food ChainModels, BiologicalPlasticsPredatory BehaviorAnimalsEcosystemHumansPlasticsbiotic interactionsfrugivoryinsectivoryplasticine modelspredation

Identifiers

PMID41120000
PMCPMC12539954

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.