Evidence map›Paper›PMID 41168350›Full record

ArticleScientific reports2025

Differential effects of human density, environmental health, and group size on urban coyote detection, boldness, and exploration.

Cesar O Estien, Lauren A Stanton, Christopher J Schell

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Cesar O EstienDepartment of Environmental Science, Policy, and Management, University of California- Berkeley, Berkeley, CA, 94720, USA. cestien@berkeley.edu.
Lauren A StantonDepartment of Environmental Science, Policy, and Management, University of California- Berkeley, Berkeley, CA, 94720, USA.
Christopher J SchellDepartment of Environmental Science, Policy, and Management, University of California- Berkeley, Berkeley, CA, 94720, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative studies show that urban coyotes behave differently from rural counterparts. However, these studies often homogenize cities. Cities feature diverse pressures for wildlife, such as variation in human densities and environmental health, two factors known to increase risk-taking. This heterogeneity creates a landscape of risk, which may drive locally adapted behavioral strategies within cities. Yet, the influence of these pressures on coyote behavior remains unclear. To investigate this, we conducted novel object testing at 24 sites across gradients of human density and pollution. We recorded coyote detections, group size, and behavioral responses to the novel object, focusing on time spent alert, time spent close, and total exploration. We found that coyote detections varied with human density and pollution, with markedly lower detections in areas with high human density and pollution. Coyote boldness (time spent alert and close) and exploration were uniformly associated with human density, with coyotes in high human density areas displaying elevated boldness and heightened exploration. We also found that time spent close and exploration increase with group size. In contrast, coyote risk-taking did not vary with pollution. Our results suggest that heterogeneity in human density, environmental health, and social context differentially affects coyote ecology, which may have consequences for human-carnivore coexistence.

Indexed as

Behavior, AnimalCoyotesEnvironmental HealthExploratory BehaviorAnimalsCitiesHumansPopulation DensityRisk-TakingCanis latransCarnivore behaviorHuman-wildlife interactionsNovel objectPollutionRisk-takingUrbanization

Identifiers

PMID41168350
PMCPMC12575792

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.