Evidence map›Paper›PMID 40595881›Full record

ArticleScientific reports2025

Optimal timing to estimate moose Alces alces demographic parameters using remote cameras.

Hailey Boone, Mark Romanski, Kenneth Kellner, Roland Kays, Lynette Potvin, Gary Roloff, Jerrold Belant

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

7 authors.

Hailey BooneDepartment of Fisheries and Wildlife, Michigan State University, Lansing, MI, USA. hailey.boone@colostate.edu.
Mark RomanskiNational Park Service, Isle Royale National Park, Houghton, MI, USA.
Kenneth KellnerDepartment of Fisheries and Wildlife, Michigan State University, Lansing, MI, USA.
Roland KaysNorth Carolina State University, Raleigh, NC, USA.
Lynette PotvinNational Park Service, Isle Royale National Park, Houghton, MI, USA.
Gary RoloffDepartment of Fisheries and Wildlife, Michigan State University, Lansing, MI, USA.
Jerrold BelantDepartment of Fisheries and Wildlife, Michigan State University, Lansing, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining estimates of demographic parameters are fundamental for managing species. However, survey timing and duration influences the precision and accuracy of estimates. We used motion-activated camera images to investigate the effect of survey duration, timing, camera density and on- or off-trail placement on detection rates, sex and age ratios, and relative abundance estimates of moose (Alces alces) in Isle Royale National Park (IRNP), Michigan, USA. Variations in detection rates reflected moose life history patterns and suggested the optimal times to estimate demographic ratios and population relative abundance. We recommend camera surveys of 25-days during mid-June-mid-July and early December-early January to produce consistent and precise calf: cow and bull: cow ratios. On-trail cameras returned greater detection rates and relative abundance estimates, but decreased precision for summer bull: cow and calf: cow ratios than off-trail cameras. Subsampling camera densities to 3 cameras/km

Indexed as

DeerPhotographyAnimalsCattleFemaleMaleMichiganPopulation DensityPopulation DynamicsSeasonsAge ratiosAlces alcesDetection rateMooseRelative abundanceUngulate

Identifiers

PMID40595881
PMCPMC12214549

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.