Evidence map›Paper›PMID 41112023›Full record

ArticleEcology and evolution2025

Biological Barriers to Forest Pest Invasions: A Novel Host Tree Slows Mountain Pine Beetle Range Expansion.

Evan C Johnson, Antonia Musso, Catherine Cullingham, Mark A Lewis

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

4 authors.

Evan C JohnsonNaos Marine Laboratories Smithsonian Tropical Research Institute Ancón Panama.ORCID https://orcid.org/0000-0001-6352-2584
Antonia MussoBiological Sciences University of Alberta Edmonton Alberta Canada.
Catherine CullinghamDepartment of Biology Carleton University Ottawa Ontario Canada.
Mark A LewisDepartment of Mathematics and Statistics University of Victoria Victoria British Columbia Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mountain pine beetle breached the Canadian Rocky Mountains-a former geographic barrier-initiating an eastward range expansion that threatens pine forests across North America. However, mountain pine beetle's expansion stalled unexpectedly in eastern Alberta, defying predictions of rapid spread through jack pine, a novel host tree. We investigated the mechanisms behind this slowed spread using an integrated methodology combining helicopter survey data, statistical modeling, simulations, and a consideration of experimental data. While previous hypotheses attributed the slowed spread to lower pine volumes and stem densities in eastern Alberta's forests, our findings indicate that jack pine's inherent phenotypic characteristics-specifically its smaller size, thinner phloem, and lower monoterpene concentrations-are the main factors limiting beetle success. Mountain pine beetle's limited spread is primarily caused by difficulties in locating and successfully attacking jack pine trees, rather than challenges with reproduction or larval survival within jack pine. Jack pine's traits appear to provide natural resistance against mountain pine beetle invasion, suggesting a lower risk of continued eastward spread than previously assumed. However, given the significant implications for forest management policy and the uncertainties inherent in ecological forecasting, we recommend maintaining beetle monitoring programs.

Indexed as

bark beetlesforest managementforest pest dynamicsinvasionjack pinemountain pine beetlepest managementrange expansion

Identifiers

PMID41112023
PMCPMC12529056

What OpenQuestion holds

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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.