Evidence map›Paper›PMID 38469500›Full record

ArticleFrontiers in insect science2023

An integrative phenology and climatic suitability model for emerald ash borer.

Brittany S Barker, Leonard Coop, Jian J Duan, Toby R Petrice

Abstract read
In one paragraph

Article in Frontiers in insect science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. PeerJ · 2026
    Article
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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

4 authors.

Brittany S BarkerOregon Integrated Pest Management Center, Oregon State University, Corvallis, OR, United States.
Leonard CoopOregon Integrated Pest Management Center, Oregon State University, Corvallis, OR, United States.
Jian J DuanUnited States Department of Agriculture (USDA) Agricultural Research Service, Beneficial Insects Introduction Research Unit, Newark, DE, United States.
Toby R PetriceUnited States Department of Agriculture (USDA) Forest Service, Northern Research Station, Lansing, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Decision support models that predict both when and where to expect emerald ash borer (EAB), Methods: We evaluated the model using presence records from three geographic regions (China, North America, and Europe) and a phenological dataset consisting primarily of observations from the northeastern and midwestern United States. To demonstrate the model, we produced phenological event maps for a recent year and tested for trends in EAB's phenology and potential distribution over a recent 20-year period. Results: Overall, the model exhibited strong performance. Presence was correctly estimated for over 99% of presence records and predicted dates of adult phenological events corresponded closely with observed dates, with a mean absolute error of Discussion: Near real-time model forecasts for the conterminous United States are available at two websites to provide end-users with decision-support for surveillance and management of this invasive pest. Forecasts of adult emergence and egg hatch are particularly relevant for surveillance and for managing existing populations with pesticide treatments and parasitoid introductions.

Indexed as

Agrilus planipennisforecastFraxinusinvasive speciesmanagementsurveillancethermal stresses

Identifiers

PMID38469500
PMCPMC10926479

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.