Evidence map›Paper›PMID 39959828›Full record

ArticlePeerJ2025

Modelling asynchrony in phenology considering a dynamic representation of meteorological variables.

Rubén de la Torre Cerro, Gourav Misra, Emily Gleeson, Guy Serbin, Jesko Zimmermann, Fiona Cawkwell, Astrid Wingler, Paul Holloway

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2025. 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.

Rubén de la Torre CerroDepartment of Geography, University College Cork, Cork, Ireland.
Gourav MisraNational Centre for Geocomputation, Maynooth University, Kildare, Ireland.
Emily GleesonResearch and Applications Division, Met Éireann, Dublin, Ireland.
Guy SerbinEOanalytics Limited, Dublin, Ireland.
Jesko ZimmermannDepartment of Agrifood Business and Spatial Analysis, Rural Economy and Economic Development Programme, Teagasc Ashtown Research Centre, Dublin, Ireland.
Fiona CawkwellDepartment of Geography, University College Cork, Cork, Ireland.
Astrid WinglerEnvironmental Research Institute, University College Cork, Cork, Ireland.
Paul HollowayDepartment of Geography, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shifts in the timing of phenological events across many taxa and ecosystems are a result of climate change. Within a trophic network, phenological mismatches between interlinked species can have negative impacts for biodiversity, ecosystems, and the trophic network. Here we developed interaction indices that quantify the level of synchrony and asynchrony among groups of species in three interlinked trophic levels, as well as accounting for a dynamic representation of meteorology. Insect first flight, vegetation green-up and arrival of migrant birds were the phenological indicators, obtained from a combination of spatially and temporally explicit species observations from citizen science programmes and remote sensing platforms (

Indexed as

Climate ChangeEcosystemMeteorological ConceptsAnimalsBiodiversityBirdsInsectaSeasonsAsynchronyCo-existenceEcological networkInteractionPhenological mismatch

Identifiers

PMID39959828
PMCPMC11827577

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.