Evidence map›Paper›PMID 41148884›Full record

ArticleInsects2025

Ensemble Distribution Modeling of the Globally Invasive Asian Cycad Scale,

Samuel Valdés-Díaz, Reyna Tuñón, Dilma Castillo, Alieth Sanchez, Brenda Virola-Vasquez, Patricia Esther Corro, Francisco Serrano-Peraza, Bruno Zachrisson, Jose Loaiza, Rodrigo Chang and 1 more

Abstract read
In one paragraph

Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Samuel Valdés-DíazPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.ORCID 0000-0002-3838-4332
Reyna TuñónPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Dilma CastilloPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Alieth SanchezPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Brenda Virola-VasquezPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Patricia Esther CorroPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Francisco Serrano-PerazaPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Bruno ZachrissonPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.ORCID 0000-0002-8219-7438
Jose LoaizaPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.ORCID 0000-0001-5195-8540
Rodrigo ChangPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.
Luis Fernando ChavesPrograma Centroamericano de Maestría en Entomología (PCMENT), Universidad de Panamá, Ciudad de Panamá Estafeta Universitaria, Apartado 3366, Panamá 4, Panama.ORCID 0000-0002-5301-2764

Funding

EPA EP-C-18-008
6 · The paper itself

Abstract

Species distribution models (SDMs) have become an important tool to inform conservation and pest surveillance programs about the potential biological invasion of insect pests. Nonetheless, to be operational, SDMs need to incorporate multiple environmental covariates and a representative number of occurrence points depicting the species' ecological niche. The algorithm of choice, model of choice, and comparison can also have a great effect on the final prediction output. We created a dataset based on previously published records, plus 36 new occurrences and 37 environmental predictors, to generate the first global ensemble distribution model for

Indexed as

Asian Cycad Scaleensemble species distribution modelshabitat suitabilityinvasive speciesniche predictionoccurrence records

Identifiers

PMID41148884
PMCPMC12564919

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.