Evidence map›Paper›PMID 39999345›Full record

ArticleEcology letters2025

Environmental Health and Societal Wealth Predict Movement Patterns of an Urban Carnivore.

Christine E Wilkinson, Niamh Quinn, Curtis Eng, Christopher J Schell

Abstract read
In one paragraph

Article in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Antimicrobial resistance genes in wild coyotes (One health (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. 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.

Christine E WilkinsonDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.ORCID https://orcid.org/0000-0001-5462-0086
Niamh QuinnUniversity of California Agriculture and Natural Resources, Irvine, California, USA.
Curtis EngCollege of Veterinary Medicine, Western University of Health Sciences, Pomona, California, USA.
Christopher J SchellDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.

Funding

Los Angeles County Productivity Investment FundRegents of University of California, BerkeleySchmidt Science Fellows, in partnership with the Rhodes Trust
6 · The paper itself

Abstract

How societal, ecological and infrastructural attributes interact to influence wildlife movement is uncertain. We explored whether neighbourhood socioeconomic status and environmental quality were associated with coyote (Canis latrans) movement patterns in Los Angeles, California and assessed the performance of integrated social-ecological movement models. We found that coyotes living in more anthropogenically burdened regions (i.e. higher pollution, denser development, etc.) had larger home ranges and showed greater daily displacement and mean step length than coyotes in less burdened regions. Coyotes experiencing differing levels of anthropogenic burdens demonstrated divergent selection for vegetation, pollution, road densities and other habitat conditions. Further, movement models that included societal covariates performed better than models that only assessed ecological features and linear infrastructure. This study provides a unique social-ecological lens examining the anthropogenic drivers of urban wildlife movement, which should be applicable to urban planners and conservationists when building more equitable, healthy and wildlife-friendly cities.

Indexed as

CoyotesEnvironmental HealthAnimalsCitiesEcosystemLos AngelesSocioeconomic Factorscoyotehuman–wildlife interactionslinear infrastructureluxury effectmovement ecologypollution burdenrailwayssocial–ecologicalSouthern Californiaurban ecology

Identifiers

PMID39999345
PMCPMC11856846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.