Evidence map›Paper›PMID 42009603›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

An integrated framework to identify and characterize regional-scale insect dispersal.

Felipe Dargent, Megan S Reich, Marrissa Miller, Kala Studens, Nilofar Benvidi, Kerry Perrault, Joshua Aibueku, Brent Holmes, Clement P Bataille, Jean-Noël Candau

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. 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. An integrated framework to identify and characterize regional-scale insect dispersal.Ecological applications : a publication of the Ecological Society of America · 2026
    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

10 authors.

Felipe DargentNatural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, Ontario, Canada.
Megan S ReichDepartment of Biology, University of Ottawa, Ottawa, Ontario, Canada.
Marrissa MillerDepartment of Earth and Environmental Sciences, Advanced Research Complex Building, University of Ottawa, Ottawa, Ontario, Canada.
Kala StudensNatural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, Ontario, Canada.
Nilofar BenvidiDepartment of Earth and Environmental Sciences, Advanced Research Complex Building, University of Ottawa, Ottawa, Ontario, Canada.
Kerry PerraultNatural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, Ontario, Canada.
Joshua AibuekuDepartment of Earth and Environmental Sciences, Advanced Research Complex Building, University of Ottawa, Ottawa, Ontario, Canada.
Brent HolmesDepartment of Earth and Environmental Sciences, Advanced Research Complex Building, University of Ottawa, Ottawa, Ontario, Canada.
Clement P BatailleDepartment of Earth and Environmental Sciences, Advanced Research Complex Building, University of Ottawa, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0001-8625-4658
Jean-Noël CandauNatural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, Ontario, Canada.

Funding

Early Intervention Strategy against Spruce Budworm Phase IIIEarly Intervention Strategy against Spruce Budworm Phase III: Small Scale Research ProgramHealthy Forest Partnership Early Intervention Strategy against Spruce Budworm Phase II Contribution Program, Invasive Species CentreNational Sciences and Engineering Research Council (NSERC) RGPIN-2019-05709Natural Resources Canada - Canadian Forest Service - Pest Risk Management
6 · The paper itself

Abstract

Forest pest insects cause major socio-economic impacts, global losses of millions of dollars, and ecosystem changes. A key challenge for their management is tracing regional dispersal events critical to outbreak dynamics. We developed an integrated tracing framework for pest insects by combining isotope geolocation, ecological data, and atmospheric modeling, and applied this framework to the eastern spruce budworm moth (Choristoneura fumiferana), the most severe defoliator of the North American boreal forest, to trace outbreak dispersal events. We first generated a North American model of bioavailable sulfur isotope (δ

Indexed as

Animal DistributionMothsAnimalsModels, BiologicalNova ScotiaChoristoneura fumiferanaHYSPLIT trajectory modelinsect dispersalisoscapeisotope‐based geographic assignmentpest managementspruce budworm mothsulfur isotopesδ34S

Identifiers

PMID42009603
PMCPMC13095504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.