Evidence map›Paper›PMID 40060727›Full record

ArticleEcology and evolution2025

Accounting for Viewshed Area and Animal Availability When Estimating Density and Recruitment of Unmarked White-Tailed Deer.

Molly M Koeck, Anna K Moeller, R Dwayne Elmore, W Sue Fairbanks, M Colter Chitwood

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. 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

5 authors.

Molly M KoeckDepartment of Natural Resource Ecology and Management Oklahoma State University Stillwater Oklahoma USA.ORCID https://orcid.org/0009-0008-0812-0310
Anna K MoellerDepartment of Natural Resource Ecology and Management Oklahoma State University Stillwater Oklahoma USA.ORCID https://orcid.org/0000-0001-9102-6959
R Dwayne ElmoreTall Timbers Tallahassee Florida USA.ORCID https://orcid.org/0000-0002-8979-7292
W Sue FairbanksDepartment of Natural Resource Ecology and Management Oklahoma State University Stillwater Oklahoma USA.ORCID https://orcid.org/0000-0002-6284-7990
M Colter ChitwoodDepartment of Natural Resource Ecology and Management Oklahoma State University Stillwater Oklahoma USA.ORCID https://orcid.org/0000-0001-7240-7430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the demography of wildlife is vital to population monitoring; however, studies using physical capture methods can prove challenging. Camera traps have gained popularity as a density estimator tool in recent decades due to noninvasive data collection, reduced labor, cost efficiency, and large-scale monitoring capabilities. Many wildlife populations are comprised of individuals with no unique natural markers for individual identification, resulting in need for unmarked abundance models. The recently developed Space-to-Event (STE) model offers a method for density estimation of unmarked populations using timelapse photography. STE relates detections of animals to camera sampling area (i.e., viewshed), resulting in density estimates that can be extrapolated to abundance over large areas. Consequently, this makes STE sensitive to estimates of viewshed area as small changes in viewshed could significantly affect density estimation. Using STE, we estimated density and recruitment of white-tailed deer (

Indexed as

abundancecamera trapsspace‐to‐eventtimelapse photographyunmarked population

Identifiers

PMID40060727
PMCPMC11886413

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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.