Evidence map›Paper›PMID 36363865›Full record

ArticleMicromachines2022

Monitoring Colonies of Large Gulls Using UAVs: From Individuals to Breeding Pairs.

Alejandro Corregidor-Castro, Marie Riddervold, Thomas Eske Holm, Thomas Bregnballe

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Alejandro Corregidor-CastroDepartment of Ecoscience, Aarhus University, C.F. Møllers Allé 8, DK-8000 Aarhus C, Denmark.ORCID 0000-0002-7666-2153
Marie RiddervoldDepartment of Ecoscience, Aarhus University, C.F. Møllers Allé 8, DK-8000 Aarhus C, Denmark.
Thomas Eske HolmDepartment of Ecoscience, Aarhus University, C.F. Møllers Allé 8, DK-8000 Aarhus C, Denmark.ORCID 0000-0002-9654-2722
Thomas BregnballeDepartment of Ecoscience, Aarhus University, C.F. Møllers Allé 8, DK-8000 Aarhus C, Denmark.

Funding

Danish Ministry of Environment
6 · The paper itself

Abstract

Measuring success or failure in the conservation of seabirds depends on reliable long-term monitoring. Traditionally, this monitoring has been based on line transects and total or point counts, all of which are sensitive to subjective interpretation. Such methods have proven to consistently record fewer individuals than intensive efforts, while requiring many hours of fieldwork and resulting in high disturbance. New technologies, such as drones, are potentially useful monitoring tools, as they can cover large areas in a short time, while providing high-resolution data about bird numbers and status. This study conducted two types of Uncrewed Aerial Vehicle (UAV) surveys in a big colony of multispecies breeding gulls. From a 25 m height, we photographed 30 circle plots where nests were also counted on the ground, showing that the number of occupied nests/breeding pairs could be estimated accurately by multiplying the number of counted individuals with a 0.7 conversion factor. A fixed-wing UAV was used to photograph the entire island to compare drone counts with counts conducted by traditional methods, were we counted a higher number of breeding pairs than the traditional count (1.7-2.2 times more individuals). It was concluded that UAVs provided improved estimates of colony size with much reduced monitoring effort.

Indexed as

breeding birdsconservationdronemonitoringUAVs

Identifiers

PMID36363865
PMCPMC9698304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.