Evidence map›Paper›PMID 26380681›Full record

ArticleEcology and evolution2015

Limited catching bias in a wild population of birds with near-complete census information.

Mirre J P Simons, Isabel Winney, Shinichi Nakagawa, Terry Burke, Julia Schroeder

Abstract read
In one paragraph

Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Not so social in old age: demography as one driver of decreasing sociality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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  11. Opposite-sex associations are linked with annual fitness, but sociality is stable over lifetime.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

5 authors.

Mirre J P SimonsDepartment of Animal and Plant Sciences, University of Sheffield Sheffield, S10 2TN, UK.
Isabel WinneyDepartment of Animal and Plant Sciences, University of Sheffield Sheffield, S10 2TN, UK.
Shinichi NakagawaDepartment of Animal and Plant Sciences, University of Sheffield Sheffield, S10 2TN, UK ; Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales Sydney, NSW, 2052, Australia ; Department of Zoology, University of Otago PO Box 56, Dunedin, 9054, New Zealand.
Terry BurkeDepartment of Animal and Plant Sciences, University of Sheffield Sheffield, S10 2TN, UK.
Julia SchroederEvolutionary Biology, Max Planck Institute for Ornithology Seewiesen, DE-82319, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal research often relies on catching wild animals; however, individuals may have different trappability, and this can generate bias. We studied bias in mist netting, the main method for catching wild birds. The unusually high resighting rate in our study population-house sparrows (Passer domesticus) on Lundy Island (England)-allowed us to obtain accurate estimates of the population size. This unique situation enabled us to test for catching bias in mist netting using deviations from the expected Poisson distribution. There was no evidence that a fraction of the birds in the population consistently remained uncaught. However, we detected a different bias: More birds than expected were captured only once within a year. This bias probably resulted from a mixture of fieldworkers sometimes ignoring rapid recaptures and birds becoming net shy after their first capture. We had sufficient statistical power with the available data to detect a substantial uncaught fraction. Therefore, our data are probably unbiased toward catching specific individuals from our population. Our analyses demonstrate that intensively monitored natural insular populations, in which population size can be estimated precisely, provide the potential to address important unanswered questions without concerns about a fraction of the population remaining uncaught. Our approach can help researchers to test for catching bias in closely monitored wild populations for which reliable estimates of population size and dispersal are available.

Indexed as

Capture methodshouse sparrowisland populationsmethodologyornithologytrappability

Identifiers

PMID26380681
PMCPMC4569043

What OpenQuestion holds

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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.