Evidence map›Paper›PMID 39678150›Full record

ArticleEcology and evolution2024

Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long-Lived Seabird.

M Genovart, R Ramos, J M Igual, A Sanz-Aguilar, G Tavecchia, A Rotger, T Militão, D Vicente-Sastre, B Garcia-Urdangarin, R Pradel and 2 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. 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

12 authors.

M GenovartTheoretical and Computational Ecology Group CEAB (CSIC) Blanes Catalonia Spain.ORCID https://orcid.org/0000-0003-2919-1288
R RamosDepartament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia Universitat de Barcelona (UB) Barcelona Spain.ORCID https://orcid.org/0000-0002-0551-8605
J M IgualAnimal Demography and Ecology Unit IMEDEA (CSIC-UIB) Esporles Spain.
A Sanz-AguilarAnimal Demography and Ecology Unit IMEDEA (CSIC-UIB) Esporles Spain.
G TavecchiaAnimal Demography and Ecology Unit IMEDEA (CSIC-UIB) Esporles Spain.
A RotgerAnimal Demography and Ecology Unit IMEDEA (CSIC-UIB) Esporles Spain.
T MilitãoDepartament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia Universitat de Barcelona (UB) Barcelona Spain.
D Vicente-SastreDepartament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia Universitat de Barcelona (UB) Barcelona Spain.
B Garcia-UrdangarinDepartament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia Universitat de Barcelona (UB) Barcelona Spain.
R PradelCNRS, EPHE, IRD CEFE, Univ Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-2684-9251
J González-SolísDepartament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia Universitat de Barcelona (UB) Barcelona Spain.
D OroTheoretical and Computational Ecology Group CEAB (CSIC) Blanes Catalonia Spain.ORCID https://orcid.org/0000-0003-4782-3007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal migration has evolved as an adaptation for exploiting peaks of resource abundance and avoiding unfavourable climatic conditions. Differential migratory strategies and choices of wintering areas by long-distance migratory species may impose varying selective pressures and mortality risks with fitness consequences. Recently developed tracking technologies allow wintering movements of migratory species to be studied. However, these technologies typically involve a limited number of tracked individuals, which gives low statistical power for any robust estimate of survival probabilities. Additionally, when utilising geolocators, data become accessible only upon individual recapture, presenting a potential source of bias. We used multievent modelling to include information of 147 identified wintering tracks in the analysis of 1104 long-term individual capture histories (2000-2022) of migratory seabird

Indexed as

adult survivalCalonectris diomedeahidden Markov modelsmigrationmultievent mark‐recapture modelsNAOremote trackingSOI

Identifiers

PMID39678150
PMCPMC11638144

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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.