Evidence map›Paper›PMID 33975536›Full record

ArticleBMC ecology and evolution2021

Breaking down population density into different components to better understand its spatial variation.

Mickaël Jacquier, Jean-Michel Vandel, François Léger, Jeanne Duhayer, Sylvia Pardonnet, Ludovic Say, Sébastien Devillard, Sandrine Ruette

Open access · goldAbstract read
In one paragraph

Article in BMC ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  3. Survey ofAnimals : an open access journal from MDPI · 2024
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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 at 2 institutions in 1 country.

Mickaël JacquierCNRS, UMR5558 LBBE, Univ Lyon, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France. mick.jacquier@gmail.com.ORCID 0000-0002-8580-5603
Jean-Michel VandelOffice Français de La Biodiversité, Unité-PAD, Montfort, 01330, Birieux, France.
François LégerOffice Français de La Biodiversité, Unité-PAD, 67150, Gerstheim, France.
Jeanne DuhayerCNRS, UMR5558 LBBE, Univ Lyon, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France.
Sylvia PardonnetCNRS, UMR5558 LBBE, Univ Lyon, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France.
Ludovic SayCNRS, UMR5558 LBBE, Univ Lyon, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France.
Sébastien Devillard *CNRS, UMR5558 LBBE, Univ Lyon, Université Claude Bernard Lyon 1, 69100, Villeurbanne, France.
Sandrine Ruette *Office Français de La Biodiversité, Unité-PAD, Montfort, 01330, Birieux, France.
Université Claude Bernard Lyon 1 · FRFrench National Agency for Water and Aquatic Environments · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation size and densities are key parameters in both fundamental and applied ecology, as they affect population resilience to density-dependent processes, habitat changes and stochastic events. Efficient management measures or species conservation programs thus require accurate estimates of local population densities across time and space, especially for continuously distributed species. For social species living in groups, population density depends on different components, namely the number of groups and the group size, for which relative variations in space may originate from different environmental factors. Whether resulting spatial variations in density are mostly triggered by one component or the other remains poorly known. Here, we aimed at determining the magnitude of the spatial variation in population densities of a social, group-living species, i.e. the European badger Meles meles, in 13 different sites of around 50 km

resultsWe proposed a new standardised approach combining use of multiple methods, namely distance sampling for estimating the density of occupied sett clusters, i.e. group density, and camera and hair trapping for genetic identification to determine the mean social group size. The density of adult badgers was on average 3.8 per km

conclusionsThese results underline the need to break down population density estimates into several components in group-living species to better understand the pattern of temporal and spatial variation in population density, as different components may vary due to different ecological factors.

Indexed as

MustelidaeAnimalsEcosystemFrancePopulation DensityCamera trapDistance samplingGroup sizeLarge-scaleMeles melesMolecular ecologyMustelidaePopulation density

Identifiers

PMID33975536
PMCPMC8111954
OpenAlexW3160164758

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.