Evidence map›Paper›PMID 38938602›Full record

ArticlePeerJ2024

Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes.

Marina McCampbell, McKayla Spencer, Kristen Hart, Gabrielle Link, Andrew Watson, Robert McCleery

Abstract read
In one paragraph

Article in PeerJ, 2024. 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

6 authors.

Marina McCampbellDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America.
McKayla SpencerFlorida Fish and Wildlife Conservation Commission, Gainesville, Florida, United States of America.
Kristen HartWetland and Aquatic Research Center, United States Geological Survey, Fort Lauderdale, Florida, United States of America.
Gabrielle LinkDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America.
Andrew WatsonDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America.
Robert McCleeryDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America.

Funding

Florida Fish and Wildlife Conservation CommissionUnited States Geological Survey
6 · The paper itself

Abstract

Background: Enhancing detection of cryptic snakes is critical for the development of conservation and management strategies; yet, finding methods that provide adequate detection remains challenging. Issues with detecting snakes can be particularly problematic for some species, like the invasive Burmese python ( Methods: Using multiple survey methods, we predicted that our ability to detect pythons, larger snakes and all other snakes would be enhanced with the use of live mammalian lures (domesticated rabbits; Results: Time-lapse game cameras detected almost 40 times more snakes ( Conclusions: Our study presents compelling evidence that the detection of snakes is improved by coupling live mammalian lures with time-lapse game cameras. Although the identification of smaller snake species was limited, this was due to pixel resolution, which could be improved by changing the camera focal length. For larger snakes with individually distinctive patterns, this method could potentially be used to identify unique individuals and thus allow researchers to estimate population dynamics.

Indexed as

BoidaeSnakesTime-Lapse ImagingAnimalsDogsFloridaPhotographyPredatory BehaviorRabbitsDetection dogEvergladesInvasionLive lureRabbit

Identifiers

PMID38938602
PMCPMC11210459

What OpenQuestion holds

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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.