Evidence map›Paper›PMID 41970349›Full record

ArticleEcology and evolution2026

Weather Conditions Are Systematically Associated With Long-Range Nonroutine Movements in a Large Scavenger.

Jacopo Cerri, Ilaria Fozzi, Davide De Rosa, Chiara Costantino, Mauro Aresu, Dionigi Secci, Marco Muzzeddu, Fiammetta Berlinguer

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.

Jacopo CerriMammal Research Institute, Polish Academy of Sciences Bialowieza Poland.
Ilaria FozziDipartimento di Medicina Veterinaria Università degli Studi di Sassari Sassari Italy.
Davide De RosaDipartimento di Medicina Veterinaria Università degli Studi di Sassari Sassari Italy.
Chiara CostantinoDipartimento di Medicina Veterinaria Università degli Studi di Sassari Sassari Italy.ORCID https://orcid.org/0009-0008-6908-0439
Mauro AresuVia Crispi 5 Macomer Italy.
Dionigi SecciAgenzia Forestale Regionale per lo Sviluppo del Territorio e l'Ambiente della Sardegna (Fo.Re.S.T.A.S.) Cagliari Italy.
Marco MuzzedduAgenzia Forestale Regionale per lo Sviluppo del Territorio e l'Ambiente della Sardegna (Fo.Re.S.T.A.S.) Cagliari Italy.
Fiammetta BerlinguerDipartimento di Medicina Veterinaria Università degli Studi di Sassari Sassari Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement data are valuable for the conservation of large soaring birds, as these move across large distances and experience a wide range of threats. As species like Old World vultures rely on soaring flight, weather conditions are crucial for their movements. However, no study explored the extent to which weather conditions can predict long-range nonroutine movements, such as those associated with forays, prospecting, or dispersal. We fitted Generalized Additive Mixed Models to predict the probability that Griffon Vultures (

Indexed as

biologgingforagingforaysscavengerssoaring birdsvultures

Identifiers

PMID41970349
PMCPMC13065498

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.