Evidence map›Paper›PMID 35357308›Full record

ArticleeLife2022

Mammals adjust diel activity across gradients of urbanization.

Travis Gallo, Mason Fidino, Brian Gerber, Adam A Ahlers, Julia L Angstmann, Max Amaya, Amy L Concilio, David Drake, Danielle Gay, Elizabeth W Lehrer and 10 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

20 authors.

Travis GalloEnvironmental Science and Policy, College of Science, George Mason University, Fairfax, United States.ORCID 0000-0003-2877-9848
Mason FidinoUrban Wildlife Institute, Conservation and Science Department, Lincoln Park Zoo, Chicago, United States.
Brian GerberDepartment of Natural Resource Science, The University of Rhode Island, Kingston, United States.ORCID 0000-0001-9285-9784
Adam A AhlersDepartment of Horticulture and Natural Resources, Kansas State University, Manhattan, United States.
Julia L AngstmannDepartment of Biological Sciences and Center for Urban Ecology and Sustainability, Butler University, Indianapolis, United States.
Max AmayaDepartment of Biological Sciences, California State University Long Beach, Long Beach, United States.
Amy L ConcilioDepartment of Environmental Science and Policy, St. Edward's University, Austin, United States.
David DrakeDepartment of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, United States.
Danielle GayAustin Parks and Recreation, City of Austin, Austin, United States.
Elizabeth W LehrerUrban Wildlife Institute, Conservation and Science Department, Lincoln Park Zoo, Chicago, United States.
Maureen H MurrayUrban Wildlife Institute, Conservation and Science Department, Lincoln Park Zoo, Chicago, United States.
Travis J RyanDepartment of Biological Sciences and Center for Urban Ecology and Sustainability, Butler University, Indianapolis, United States.ORCID 0000-0003-2039-5989
Colleen Cassady St ClairDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Carmen M SalsburyDepartment of Biological Sciences and Center for Urban Ecology and Sustainability, Butler University, Indianapolis, United States.
Heather A SanderDepartment of Geographical and Sustainability Sciences, University of Iowa, Iowa City, United States.
Theodore StankowichDepartment of Biological Sciences, California State University Long Beach, Long Beach, United States.
Jaque WilliamsonDepartment of Education & Conservation, Brandywine Zoo, Wilmington, United States.
J Amy BelaireThe Nature Conservancy in Texas, San Antonio, United States.
Kelly SimonTexas Parks and Wildlife, Austin, United States.ORCID 0000-0002-9694-5548
Seth B MagleUrban Wildlife Institute, Conservation and Science Department, Lincoln Park Zoo, Chicago, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time is a fundamental component of ecological processes. How animal behavior changes over time has been explored through well-known ecological theories like niche partitioning and predator-prey dynamics. Yet, changes in animal behavior within the shorter 24-hr light-dark cycle have largely gone unstudied. Understanding if an animal can adjust their temporal activity to mitigate or adapt to environmental change has become a recent topic of discussion and is important for effective wildlife management and conservation. While spatial habitat is a fundamental consideration in wildlife management and conservation, temporal habitat is often ignored. We formulated a temporal resource selection model to quantify the diel behavior of 8 mammal species across 10 US cities. We found high variability in diel activity patterns within and among species and species-specific correlations between diel activity and human population density, impervious land cover, available greenspace, vegetation cover, and mean daily temperature. We also found that some species may modulate temporal behaviors to manage both natural and anthropogenic risks. Our results highlight the complexity with which temporal activity patterns interact with local environmental characteristics, and suggest that urban mammals may use time along the 24-hr cycle to reduce risk, adapt, and therefore persist, and in some cases thrive, in human-dominated ecosystems.

Indexed as

EcosystemUrbanizationAnimalsCitiesMammalsPopulation Densityecologymammaltemporal resource selectionurbanwildlife cameras

Identifiers

PMID35357308
PMCPMC8986314

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.