Evidence map›Paper›PMID 41426649›Full record

ArticleEcology and evolution2025

Testing the Sentinel Method: Live and Artificial Prey Display Contrasting Patterns of Predation Across an Urban Gradient.

Yu Zeng, Haolin Yang, Yiheng Pan, Yuxuan Li, Dohee Kim, Haokun Wang, Jing Feng, Yuechen Huang, Yingjie Yin, Hanqing Zhao and 6 more

Abstract read
In one paragraph

Article in Ecology and evolution, 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

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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

16 authors.

Yu ZengDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.ORCID https://orcid.org/0009-0008-1688-1312
Haolin YangDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Yiheng PanDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Yuxuan LiSchool of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China.
Dohee KimDepartment of Biosciences and Bioinformatics Xi'an Jiaotong-Liverpool University Suzhou China.
Haokun WangDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Jing FengSchool of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China.
Yuechen HuangDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Yingjie YinDepartment of Biosciences and Bioinformatics Xi'an Jiaotong-Liverpool University Suzhou China.
Hanqing ZhaoDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Yuyang WuDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Craig R A BarnettDepartment of Zoology, Graduate School of Science Kyoto University Kyoto Japan.ORCID https://orcid.org/0000-0001-5941-8370
Catherine L ParrDepartment of Earth, Ocean and Ecological Sciences, School of Environmental Science University of Liverpool Liverpool UK.
Samantha C PatrickDepartment of Earth, Ocean and Ecological Sciences, School of Environmental Science University of Liverpool Liverpool UK.
Yi ZouDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.
Emilio Pagani-NúñezDepartment of Health and Environmental Sciences, School of Science Xi'an Jiaotong-Liverpool University Suzhou China.ORCID https://orcid.org/0000-0001-8839-4005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing changes in the intensity of biotic interactions across environmental gradients is a central issue in ecology. The sentinel method has been widely adopted to study predator-prey interactions by establishing patches of prey under different conditions that predators can attack. Sentinels, proxies for prey, are frequently worm-shaped prey resembling caterpillars and are commonly used to assess predation by arthropod-feeding predators, with predation measured as the rate of disappearance or evidence of predation after a certain period of exposure. While it has been suggested that artificial sentinel prey might produce divergent results from live prey, previous studies showed mixed results in the difference between these two prey types. Results are likely to vary with context, and the assessment of different prey types along urban gradients is still lacking. Here, we performed an experiment at 10 sites across a natural-to-urban gradient in Suzhou (East China) combining live prey and artificial prey to determine differences in predation intensity between these prey types. We released 2575 artificial prey and 3825 live prey, either separately (artificial or live prey alone) or combined, in a randomized sequence. We found a positive relationship between our index of predation and the level of urbanization using both types of prey. However, the predation rate using artificial prey was lower than with live prey and showed a different pattern with urbanization. The predation rate using live prey was higher for avian predators and lower for insect predators with increasing urbanization. Our results show that artificial and live prey can produce divergent estimates of predation intensity. Thus, while artificial prey may be used as a rapid-screening tool, live prey could be favored in comprehensive studies to assess this fundamental ecosystem service.

Indexed as

ecosystem servicesplasticine preypredationsentinel methodurbanization

Identifiers

PMID41426649
PMCPMC12711592

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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.