Evidence map›Paper›PMID 41724720›Full record

ArticlePest management science2026

Host tree preference and performance of the Eurasian spruce bark beetle (Ips typographus) on Scots pine.

Jana Gabriele Burchards, Dineshkumar Kandasamy, Martin Nils Andersson

Erratum issuedAbstract read
In one paragraph

Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Jana Gabriele BurchardsDepartment of Biology, Lund University, Lund, Sweden.ORCID https://orcid.org/0009-0002-0178-2676
Dineshkumar Kandasamy *Department of Biology, Lund University, Lund, Sweden.
Martin Nils Andersson *Department of Biology, Lund University, Lund, Sweden.

Funding

Stiftelsen Oscar och Lili Lamms MinneSvenska Forskningsrådet Formas
6 · The paper itself

Abstract

backgroundThe Eurasian spruce bark beetle, Ips typographus, is one of the most serious pests of Norway spruce (NS, Picea abies), with the ability to infest and kill vigorous trees through pheromone-mediated mass attacks. During outbreaks, I. typographus has been observed to occasionally attack Scots pine (SP, Pinus sylvestris). We investigated in the laboratory whether I. typographus is attracted to SP bark and logs, which semiochemicals mediate this potential attraction, and how beetle fitness is affected by the host tree species.

resultsIps typographus was attracted to the odors from SP bark plugs in short-range walking bioassays, and did not prefer the bark odors from NS over SP. In two-choice bioassays with logs, the beetles also did not discriminate significantly between the tree species. Analysis of NS and SP bark volatiles revealed quantitative differences in abundant monoterpenes and their enantiomers; however, none of the monoterpenes elicited a behavioral response when tested individually. Furthermore, we showed that I. typographus can reproduce in SP logs but with reduced offspring weight and numbers. Finally, males emitted less of the aggregation pheromone component cis-verbenol when colonizing SP compared with NS.

conclusionOur results suggest that I. typographus is attracted to SP bark odors at short-range and can reproduce in SP logs under laboratory conditions but with a reduced fitness. The reduced release of cis-verbenol may suggest a reduced likelihood of pheromone-induced mass attacks on SP. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

ColeopteraPheromonesPinus sylvestrisWeevilsAnimalsFemaleMalePiceaPlant BarkPheromoneshost choicemonoterpenepheromonePicea abiesPinus sylvestrissister broods

Identifiers

PMID41724720
PMCPMC13158442

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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.