Evidence map›Paper›PMID 35908289›Full record

ArticleEcology letters2022

From pattern to process? Dual travelling waves, with contrasting propagation speeds, best describe a self-organised spatio-temporal pattern in population growth of a cyclic rodent.

Deon Roos, Constantino Caminero-Saldaña, David Elston, François Mougeot, María Carmen García-Ariza, Beatriz Arroyo, Juan José Luque-Larena, Francisco Javier Rojo Revilla, Xavier Lambin

Abstract readLetter
In one paragraph

Article in Ecology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Deon RoosSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0003-4866-7472
Constantino Caminero-SaldañaÁrea de Plagas, Instituto Tecnológico Agrario de Castilla-y-León (ITACyL), Valladolid, Spain.
David ElstonBiomathematics & Statistics Scotland, Aberdeen, UK.
François MougeotInstituto de Investigación en Recursos Cinegéticos, IREC (CSIC-UCLM-JCCM), Ciudad Real, Spain.
María Carmen García-ArizaÁrea de Plagas, Instituto Tecnológico Agrario de Castilla-y-León (ITACyL), Valladolid, Spain.
Beatriz ArroyoInstituto de Investigación en Recursos Cinegéticos, IREC (CSIC-UCLM-JCCM), Ciudad Real, Spain.ORCID https://orcid.org/0000-0002-4657-6609
Juan José Luque-LarenaDpto. Ciencias Agroforestales, ETSIIAA, Universidad de Valladolid, Palencia, Spain.
Francisco Javier Rojo RevillaÁrea de Plagas, Instituto Tecnológico Agrario de Castilla-y-León (ITACyL), Valladolid, Spain.
Xavier LambinSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0003-4643-2653

Funding

Biotechnology and Biological Sciences Research Council BB/M010996/1BOOMRAT MINECO: PID2019-109327RB-I00
6 · The paper itself

Abstract

The dynamics of cyclic populations distributed in space result from the relative strength of synchronising influences and the limited dispersal of destabilising factors (activators and inhibitors), known to cause multi-annual population cycles. However, while each of these have been well studied in isolation, there is limited empirical evidence of how the processes of synchronisation and activation-inhibition act together, largely owing to the scarcity of datasets with sufficient spatial and temporal scale and resolution. We assessed a variety of models that could be underlying the spatio-temporal pattern, designed to capture both theoretical and empirical understandings of travelling waves using large-scale (>35,000 km

Indexed as

Population GrowthRodentiaAgricultureAnimalsArvicolinaePopulation Dynamicspatternspopulation cyclespopulation growth ratespatio-temporalsynchrony

Identifiers

PMID35908289
PMCPMC9543711

What OpenQuestion holds

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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.