Evidence map›Paper›PMID 31700536›Full record

ArticleEvolutionary applications2019

Temporal variation in spatial genetic structure during population outbreaks: Distinguishing among different potential drivers of spatial synchrony.

Jeremy Larroque, Simon Legault, Rob Johns, Lisa Lumley, Michel Cusson, Sébastien Renaut, Roger C Levesque, Patrick M A James

Abstract read
In one paragraph

Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Jeremy LarroqueDépartement de Sciences Biologiques Université de Montréal Montréal Quebec Canada.ORCID https://orcid.org/0000-0002-4371-6426
Simon LegaultDépartement de Sciences Biologiques Université de Montréal Montréal Quebec Canada.
Rob JohnsCanadian Forest Service Natural Resources Canada Fredericton New Brunswick Canada.
Lisa LumleyRoyal Alberta Museum Edmonton Alberta Canada.
Michel CussonLaurentian Forestry Centre Natural Resources Canada Quebec City Quebec Canada.
Sébastien RenautDépartement de Sciences Biologiques, Institut de Recherche en Biologie Végétale Université de Montréal Montréal Quebec Canada.
Roger C LevesqueInstitut de biologie intégrative et des systèmes Université Laval Quebec City Quebec Canada.
Patrick M A JamesDépartement de Sciences Biologiques Université de Montréal Montréal Quebec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial synchrony is a common characteristic of spatio-temporal population dynamics across many taxa. While it is known that both dispersal and spatially autocorrelated environmental variation (i.e., the Moran effect) can synchronize populations, the relative contributions of each, and how they interact, are generally unknown. Distinguishing these mechanisms and their effects on synchrony can help us to better understand spatial population dynamics, design conservation and management strategies, and predict climate change impacts. Population genetic data can be used to tease apart these two processes as the spatio-temporal genetic patterns they create are expected to be different. A challenge, however, is that genetic data are often collected at a single point in time, which may introduce context-specific bias. Spatio-temporal sampling strategies can be used to reduce bias and to improve our characterization of the drivers of spatial synchrony. Using spatio-temporal analyses of genotypic data, our objective was to identify the relative support for these two mechanisms to the spatial synchrony in population dynamics of the irruptive forest insect pest, the spruce budworm (

Indexed as

cyclic populationsinsect outbreakSNPspatial geneticsspruce budwormsynchronytemporal genetics

Identifiers

PMID31700536
PMCPMC6824080

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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.