Evidence map›Paper›PMID 35273428›Full record

ArticleLandscape ecology2022

Quantifying and predicting population connectivity of an outbreaking forest insect pest.

Jeremy Larroque, Julian Wittische, Patrick M A James

Abstract read
In one paragraph

Article in Landscape ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jeremy LarroqueDepartment of Wildlife Sciences, University of Göttingen, Buesgenweg 3, 37077 Göttingen, Germany.ORCID 0000-0002-4371-6426
Julian WittischeDepartment of Biological Sciences, Pavillon Marie-Victorin, Université de Montréal, 90 Vincent-d'Indy Avenue, Montreal, QC H2V 2S9 Canada.ORCID 0000-0003-1629-7649
Patrick M A JamesInstitute of Forestry and Conservation, John H. Daniels Faculty of Architecture, Landscape, and Design, University of Toronto, 33 Willcocks Street, Toronto, ON M5S 3E8 Canada.ORCID 0000-0001-7639-7217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Dispersal has a key role in the population dynamics of outbreaking species such as the spruce budworm ( Objectives: We aimed to characterize the spatial environmental determinants of spruce budworm dispersal to determine how these features affect outbreak spread in Quebec (Canada). We then apply our findings to predict expected future landscape connectivity and explore its potential consequences on future outbreaks. Methods: We used a machine-learning landscape genetics approach on 447 larvae covering most of the outbreak area and genotyped at 3562 SNP loci to identify the main variables affecting connectivity. Results: We found that the connectivity between outbreak populations was driven by the combination of precipitation and host cover. Our forecasting suggests that between the current and next outbreaks, connectivity may increase between Ontario and Quebec, and might decrease in the eastern part, which could have the effect of limiting outbreak spread from Ontario and Quebec to the eastern provinces. Conclusions: Although we did not identify any discrete barriers, low connectivity areas might constrain dispersal in the current and future outbreaks and should in turn, be intensively monitored. However, continued sampling as the outbreak progresses is needed to confirm the temporal stability of the observed patterns. Supplementary Information: The online version contains supplementary material available at 10.1007/s10980-021-01382-9.

Indexed as

Gene flowGlobal changeLandscape geneticsOptimizationResistanceSpruce budworm

Identifiers

PMID35273428
PMCPMC8897358

What OpenQuestion holds

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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.