Evidence map›Paper›PMID 30901354›Full record

ArticlePloS one2019

A mark-recapture approach for estimating population size of the endangered ringed seal (Phoca hispida saimensis).

Meeri Koivuniemi, Mika Kurkilahti, Marja Niemi, Miina Auttila, Mervi Kunnasranta

Abstract read
In one paragraph

Article in PloS one, 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
–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

3 citing papers in PubMed.

  1. SealID: Saimaa Ringed Seal Re-Identification Dataset.Sensors (Basel, Switzerland) · 2022
    Article
  2. Article
  3. Review
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.

Meeri KoivuniemiDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.ORCID 0000-0002-9179-2810
Mika KurkilahtiNatural Resources Institute Finland, Turku, Finland.
Marja NiemiDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.
Miina AuttilaMetsähallitus, Parks & Wildlife Finland, Savonlinna, Finland.
Mervi KunnasrantaDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable population estimates are fundamental to the conservation of endangered species. We evaluate here the use of photo-identification (photo-ID) and mark-recapture techniques for estimating the population size of the endangered Saimaa ringed seal (Phoca hispida saimensis). Photo-ID data based on the unique pelage patterns of individuals were collected by means of camera traps and boat-based surveys during the molting season in two of the species' main breeding areas, over a period of five years in the Pihlajavesi basin and eight years in the Haukivesi basin. An open model approach provided minimum population estimates for these two basins. The results indicated high survival rates and site fidelity among the adult seals. More accurate estimates can be obtained in the future by increasing the surveying effort both spatially and temporally. The method presented here proved effective for evaluating population size objectively, whereas the results of the current snow lair censuses are dependent on varying winter conditions, for instance. We therefore suggest that a photo-ID-based non-invasive mark-recapture method should be used for estimating Saimaa ringed seal abundances in order to ensure reliable, transparent population monitoring under changing climatic conditions.

Indexed as

MoltingAnimalsClimate ChangeEndangered SpeciesFemaleFinlandMalePhocaPopulation DensityVideo Recording

Identifiers

PMID30901354
PMCPMC6430510

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.