Evidence map›Paper›PMID 40269596›Full record

ReviewEcology letters2025

Insights Into Spatial Synchrony Enabled by Long-Term Data.

Daniel C Reuman, Jonathan A Walter, Lawrence W Sheppard, Vadim A Karatayev, Ethan S Kadiyala, Amanda C Lohmann, Thomas L Anderson, Nat J Coombs, Kyle J Haynes, Lauren M Hallett and 1 more

Abstract readReview
In one paragraph

Review in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Geography of masting creates greater synchrony in seed scarcity than in seed abundance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
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

11 authors.

Daniel C ReumanDepartment of Ecology & Evolutionary Biology and Center for Ecological Research, University of Kansas, Lawrence, Kansas, USA.ORCID https://orcid.org/0000-0002-1407-8947
Jonathan A WalterCenter for Watershed Sciences, University of California, Davis, Davis, California, USA.ORCID https://orcid.org/0000-0003-2983-751X
Lawrence W SheppardMarine Biological Association of the United Kingdom, Plymouth, UK.
Vadim A KaratayevDepartment of Ecology & Evolutionary Biology and Center for Ecological Research, University of Kansas, Lawrence, Kansas, USA.ORCID https://orcid.org/0000-0001-7112-8069
Ethan S KadiyalaDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.
Amanda C LohmannDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.
Thomas L AndersonDepartment of Biological Sciences, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA.
Nat J CoombsDepartment of Ecology & Evolutionary Biology and Center for Ecological Research, University of Kansas, Lawrence, Kansas, USA.
Kyle J HaynesDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.
Lauren M HallettDepartment of Biology, University of Oregon, Eugene, Oregon, USA.ORCID https://orcid.org/0000-0002-0718-0257
Max C N CastoraniDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-7372-9359

Funding

Alexander von Humboldt-StiftungBiotechnology and Biological Sciences Research Council BBS/E/RH/23NB0006California Department of Fish and Wildlife Q2296003EU Horizon 2020 862428EU Horizon 2020 862923James S. McDonnell FoundationNational Science Foundation 1831937National Science Foundation 1832221National Science Foundation 2023474National Science Foundation 2023555National Science Foundation 2205794National Science Foundation 2337532National Science Foundation 2414418UK Department for Environment Food and Rural Affairs ECM\_64770UK Natural Environment Research Council NE/R015953/1UK Natural Environment Research Council NE/Y005589/1
6 · The paper itself

Abstract

Spatial synchrony, the tendency for temporal fluctuations in an ecological variable to be positively associated in different locations, is a widespread and important phenomenon in ecology. Understanding of the nature and mechanisms of synchrony, and how synchrony is changing, has developed rapidly over the past 2 decades. Many recent developments have taken place through the study of long-term data sets. Here, we review and synthesise some important recent advances in spatial synchrony, with a focus on how long-term data have facilitated new understanding. Longer time series do not just facilitate better testing of existing ideas or more precise statistical results; more importantly, they also frequently make possible the expansion of conceptual paradigms. We discuss several such advances in our understanding of synchrony, how long-term data led to these advances, and how future studies can continue to improve the state of knowledge.

Indexed as

EcologyEcosystemAnimalsModels, BiologicalPopulation DynamicsTime Factorschanges in synchronyclimate changelong time seriesspatial synchronystabilitytimescale‐specificwavelet

Identifiers

PMID40269596
PMCPMC12018873

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.