Evidence map›Paper›PMID 29391588›Full record

ArticleScientific reports2018

Toward reliable population estimates of wolves by combining spatial capture-recapture models and non-invasive DNA monitoring.

J V López-Bao, R Godinho, C Pacheco, F J Lema, E García, L Llaneza, V Palacios, J Jiménez

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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.

J V López-BaoResearch Unit of Biodiversity (UO/CSIC/PA), Oviedo University, 33600, Mieres, Spain. jv.lopezbao@gmail.com.ORCID http://orcid.org/0000-0001-9213-998X
R GodinhoCIBIO/InBio-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, 4485-661, Vairão, Portugal.ORCID http://orcid.org/0000-0002-4260-4799
C PachecoCIBIO/InBio-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, 4485-661, Vairão, Portugal.
F J LemaFuentes Amarelle 6, 15130, Corcubión, Spain.
E GarcíaA.RE.NA, Asesores en Recursos Naturales, S.L, 27003, Lugo, Spain.
L LlanezaA.RE.NA, Asesores en Recursos Naturales, S.L, 27003, Lugo, Spain.
V PalaciosA.RE.NA, Asesores en Recursos Naturales, S.L, 27003, Lugo, Spain.
J JiménezInstituto de Investigación en Recursos Cinegéticos-(CSIC-UCLM-JCCM), 13071, Ciudad Real, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision-makers in wildlife policy require reliable population size estimates to justify interventions, to build acceptance and support in their decisions and, ultimately, to build trust in managing authorities. Traditional capture-recapture approaches present two main shortcomings, namely, the uncertainty in defining the effective sampling area, and the spatially-induced heterogeneity in encounter probabilities. These limitations are overcome using spatially explicit capture-recapture approaches (SCR). Using wolves as case study, and non-invasive DNA monitoring (faeces), we implemented a SCR with a Poisson observation model in a single survey to estimate wolf density and population size, and identify the locations of individual activity centres, in NW Iberia over 4,378 km

Indexed as

Conservation of Natural ResourcesModels, TheoreticalPopulation DensityWolvesAnimalsDNAEndangered SpeciesFemaleMaleReproducibility of ResultsDNA

Identifiers

PMID29391588
PMCPMC5794931

What OpenQuestion holds

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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.