Evidence map›Paper›PMID 42812345›Full record

ArticleEcology and evolution2026

Integrating Multiple Data Sources Improves Abundance Estimation in Spatial Capture-Recapture Models.

Georgina Whittome, John Calambokidis, Philip S Hammond, Ladd Irvine, Bruce R Mate, Daniel M Palacios, Sophie Smout, Chris Sutherland

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Georgina WhittomeSea Mammal Research Unit, Scottish Oceans Institute University of St Andrews St Andrews UK.ORCID https://orcid.org/0009-0007-4836-4785
John CalambokidisCascadia Research Collective Olympia Washington USA.
Philip S HammondSea Mammal Research Unit, Scottish Oceans Institute University of St Andrews St Andrews UK.ORCID https://orcid.org/0000-0002-2381-8302
Ladd IrvineMarine Mammal Institute Oregon State University Newport Oregon USA.ORCID https://orcid.org/0000-0001-5135-3496
Bruce R MateMarine Mammal Institute Oregon State University Newport Oregon USA.
Daniel M PalaciosMarine Mammal Institute Oregon State University Newport Oregon USA.
Sophie SmoutSea Mammal Research Unit, Scottish Oceans Institute University of St Andrews St Andrews UK.
Chris SutherlandCentre for Research Into Ecological and Environmental Modelling, the Observatory, Buchanan Gardens University of St Andrews St Andrews UK.ORCID https://orcid.org/0000-0003-2073-1751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable estimates of abundance are fundamental to conservation assessments and measuring the success of conservation actions, especially where populations are in decline or recovery. Here we present an approach that improves statistical precision and biological value of estimates of population size by integrating multiple data sources in a marine system. Using the eastern North Pacific blue whale (

Indexed as

blue whaledata integrationestimating abundancephoto‐identificationspatial capture–recapturetelemetry

Identifiers

PMID42812345
PMCPMC13619746

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.