Evidence map›Paper›PMID 39837999›Full record

ArticleScientific reports2025

Community science as a potential tool to monitor animal demography and human-animal interactions.

Laëtitia Maréchal, Raul Lobo, Fintan McAdam, Elizabeth Simpson, Josephine Woolston, Mae Stanley, Teresa Romero, Jenny C Dunn

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

8 authors.

Laëtitia MaréchalSchool of Psychology, University of Lincoln, Lincoln, UK.
Raul LoboSchool of Life and Environmental Sciences, University of Lincoln, Lincoln, LN6 7DL, UK.
Fintan McAdamSchool of Life and Environmental Sciences, University of Lincoln, Lincoln, LN6 7DL, UK.
Elizabeth SimpsonSchool of Life and Environmental Sciences, University of Lincoln, Lincoln, LN6 7DL, UK.
Josephine WoolstonSchool of Psychology, University of Lincoln, Lincoln, UK.
Mae StanleySchool of Psychology, University of Lincoln, Lincoln, UK.
Teresa RomeroSchool of Life and Environmental Sciences, University of Lincoln, Lincoln, LN6 7DL, UK.
Jenny C DunnSchool of Life and Environmental Sciences, University of Lincoln, Lincoln, LN6 7DL, UK. J.C.Dunn@keele.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community science can provide crucial insights into population dynamics and demography. To date, its effectiveness for understanding human-wildlife interactions has not been tested. This is vital for designing effective wildlife management plans. We used a case study of an individually marked population of mute swans Cygnus olor, to test the reliability of community scientist data for quantifying self-reported interactions. We compared 5,251 community scientist sightings of individually marked birds with 317 observations recorded through systematic recording methods, to test the reliability of sightings, and of self-reported human-swan interactions. 98.86% of ring readings were correctly reported; sighting reliability increased with experience and was higher when the observer fed the birds. Community scientist observations were reliable for quantifying family group size, but not clutch size. Self-reported data for assessing feeding interactions with wildlife were not comparable with systematic recording methods. 22% of standardised observations recorded supplementary feeding of swans by people. This is the first systematic quantification of the frequency of interaction of wild waterfowl with humans through supplementary feeding in the Northern hemisphere; we highlight potential impacts of this common human-wildlife interaction for both birds and people. We provide new insights into using community science methods as potential alternatives to more time-consuming systematic methods. Community science methods may be useful across a range of systems where humans and wildlife interact, but we highlight the need for validation of the reliability of community scientist data, particularly self-reported behaviours, before being used to inform management and conservation practices.

Indexed as

Human-Animal InteractionAnimalsAnimals, WildDemographyHumansPopulation DynamicsBehaviourCitizen scienceCygnus olorMute swanSupplementary feedingWildlife

Identifiers

PMID39837999
PMCPMC11751146

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.