Evidence map›Paper›PMID 30766673›Full record

ArticleEcology and evolution2019

Making use of multiple surveys: Estimating breeding probability using a multievent-robust design capture-recapture model.

W Chris Oosthuizen, Roger Pradel, Marthán N Bester, P J Nico de Bruyn

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

W Chris OosthuizenDepartment of Zoology and Entomology Mammal Research Institute University of Pretoria Hatfield South Africa.ORCID https://orcid.org/0000-0003-2905-6297
Roger PradelBiostatistics and Population Biology Group CEFE, CNRS, Univ Montpellier, Univ Paul Valéry Montpellier 3, EPHE, IRD Montpellier France.ORCID https://orcid.org/0000-0002-2684-9251
Marthán N BesterDepartment of Zoology and Entomology Mammal Research Institute University of Pretoria Hatfield South Africa.ORCID https://orcid.org/0000-0002-2265-764X
P J Nico de BruynDepartment of Zoology and Entomology Mammal Research Institute University of Pretoria Hatfield South Africa.ORCID https://orcid.org/0000-0002-9114-9569
University of Pretoria · ZACentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased environmental stochasticity due to climate change will intensify temporal variance in the life-history traits, and especially breeding probabilities, of long-lived iteroparous species. These changes may decrease individual fitness and population viability and is therefore important to monitor. In wild animal populations with imperfect individual detection, breeding probabilities are best estimated using capture-recapture methods. However, in many vertebrate species (e.g., amphibians, turtles, seabirds), nonbreeders are unobservable because they are not tied to a territory or breeding location. Although unobservable states can be used to model temporary emigration of nonbreeders, there are disadvantages to having unobservable states in capture-recapture models. The best solution to deal with unobservable life-history states is therefore to eliminate them altogether. Here, we achieve this objective by fitting novel multievent-robust design models which utilize information obtained from multiple surveys conducted throughout the year. We use this approach to estimate annual breeding probabilities of capital breeding female elephant seals (

Indexed as

auxiliary databreeding propensityelephant sealincidental observationsintermittent breedingrobust designunobservable state

Identifiers

PMID30766673
PMCPMC6362610
OpenAlexW2912545135

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.