Evidence map›Paper›PMID 40433198›Full record

ArticleEcology and evolution2025

Disentangling How Climate and Dispersal Drive Temporal Trends in Synchronous Population Dynamics.

Lisbeth A Hordley, Gary D Powney, Tom Brereton, Simon Gillings, Owen L Petchey, David B Roy, Joseph A Tobias, James Williams, Tom H Oliver

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Lisbeth A HordleySchool of Biological Sciences University of Reading Reading Berkshire UK.ORCID https://orcid.org/0000-0002-4924-6920
Gary D PowneyUK Centre for Ecology & Hydrology Wallingford Oxfordshire UK.
Tom BreretonButterfly Conservation Wareham Dorset UK.
Simon GillingsBritish Trust for Ornithology Thetford UK.ORCID https://orcid.org/0000-0002-9794-2357
Owen L PetcheyDepartment of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-7724-1633
David B RoyUK Centre for Ecology & Hydrology Wallingford Oxfordshire UK.
Joseph A TobiasDepartment of Life Sciences Imperial College London Ascot Berkshire UK.
James WilliamsJoint Nature Conservation Committee Peterborough UK.
Tom H OliverSchool of Biological Sciences University of Reading Reading Berkshire UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially synchronised population dynamics are driven by a combination of shared environmental conditions among sites and the movements of individuals between sites. Untangling the drivers of population synchrony requires investigation of how populations are correlated across space and time in relation to climate and mobility-related attributes. Here, we use species survey data from over four decades to investigate average levels and temporal trends in population synchrony for 58 British bird and butterfly species. We first show that population synchrony is significantly associated with synchrony in seasonal climatic variables. After accounting for spatiotemporal climatic patterns, we determine whether temporal trends in population synchrony are shaped by mobility-related attributes. We test this through an interspecies comparison using three variables correlated with mobility: biotope specialism, estimated species mobility, and local abundance change, which is known to affect emigration rate. We find that temporal trends in population synchrony are most marked for generalist butterfly species, butterflies with high estimated mobility, and butterflies that had changed in their mean abundance. For birds, we find changes in population synchrony are associated with specialist bird species and those that increased in abundance over time. Our results reveal a widespread effect of mobility attributes and abundance patterns on population synchrony over time, suggesting that variation in dispersal is a key factor determining the extent to which population dynamics are synchronised.

Indexed as

dispersallong‐term monitoring dataMoran effectpopulation synchrony

Identifiers

PMID40433198
PMCPMC12105940

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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.