Evidence map›Paper›PMID 31927627›Full record

ArticleOecologia2020

Large-scale spatial synchrony in red squirrel populations driven by a bottom-up effect.

Tytti Turkia, Jussi Jousimo, Juha Tiainen, Pekka Helle, Jukka Rintala, Tatu Hokkanen, Jari Valkama, Vesa Selonen

Open access · hybridAbstract read
In one paragraph

Article in Oecologia, 2020. 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
1.6field-weighted citation impact, top 18% of its field
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, 14 citations in OpenAlex.

  1. Article
  2. Seasonality, density dependence, and spatial population synchrony.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

8 authors at 4 institutions in 1 country.

Tytti TurkiaSection of Ecology, Department of Biology, University of Turku, Turku, Finland.
Jussi JousimoDepartment of Biosciences, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Juha TiainenNatural Research Institute Finland, Helsinki, Finland.
Pekka HelleNatural Research Institute Finland, Helsinki, Finland.
Jukka RintalaNatural Research Institute Finland, Helsinki, Finland.
Tatu HokkanenNatural Research Institute Finland, Helsinki, Finland.
Jari ValkamaFinnish Museum of Natural History, Helsinki, Finland.
Vesa SelonenSection of Ecology, Department of Biology, University of Turku, Turku, Finland. vesa.selonen@utu.fi.ORCID http://orcid.org/0000-0002-3126-5357
Natural Resources Institute Finland · FIUniversity of Turku · FIFinnish Museum of Natural History · FIUniversity of Helsinki · FI

Funding

Biotieteiden ja Ympäristön Tutkimuksen Toimikunta 259562
6 · The paper itself

Abstract

Spatial synchrony between populations emerges from endogenous and exogenous processes, such as intra- and interspecific interactions and abiotic factors. Understanding factors contributing to synchronous population dynamics help to better understand what determines abundance of a species. This study focuses on spatial and temporal dynamics in the Eurasian red squirrel (Sciurus vulgaris) using snow-track data from Finland from 29 years. We disentangled the effects of bottom-up and top-down forces as well as environmental factors on population dynamics with a spatiotemporally explicit Bayesian hierarchical approach. We found red squirrel abundance to be positively associated with both the abundance of Norway spruce (Picea abies) cones and the predators, the pine marten (Martes martes) and the northern goshawk (Accipiter gentilis), probably due to shared habitat preferences. The results suggest that red squirrel populations are synchronized over remarkably large distances, on a scale of hundreds of kilometres, and that this synchrony is mainly driven by similarly spatially autocorrelated spruce cone crop. Our research demonstrates how a bottom-up effect can drive spatial synchrony in consumer populations on a very large scale of hundreds of kilometres, and also how an explicit spatiotemporal approach can improve model performance for fluctuating populations.

Indexed as

SciuridaeAnimalsBayes TheoremFinlandNorwayPopulation DynamicsBoreal forestPopulation dynamicsSciurus vulgarisTrophic interactions

Identifiers

PMID31927627
PMCPMC7002333
OpenAlexW2999858551

What OpenQuestion holds

Textmetadata
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.