Evidence map›Paper›PMID 41760721›Full record

ArticleScientific reports2026

Predicting the global distribution of Coffee Bee Hawk Moth (Cephanodes hylas L.) under climate change using MaxEnt.

Kartik Omanakuttan, Taniya Pandey, Abhimanyu Chettri, Suman Upadhyay, Sandeep Kumar

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

5 authors.

Kartik OmanakuttanDepartment of Zoology, Soban Singh Jeena University Campus, Almora, 263601, Uttarakhand, India. kartikzoologist@gmail.com.ORCID http://orcid.org/0009-0002-2782-7537
Taniya PandeyDepartment of Zoology, Soban Singh Jeena University Campus, Almora, 263601, Uttarakhand, India.
Abhimanyu ChettriDepartment of Zoology, Soban Singh Jeena University Campus, Almora, 263601, Uttarakhand, India.
Suman UpadhyayDepartment of Zoology, Soban Singh Jeena University Campus, Almora, 263601, Uttarakhand, India.
Sandeep KumarDepartment of Zoology, Soban Singh Jeena University Campus, Almora, 263601, Uttarakhand, India. drsandeepssjc@gmail.com.ORCID http://orcid.org/0000-0001-8094-5976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cephonodes hylas, or the Coffee Bee Hawk Moth, is a significant agricultural pest that threatens crops like coffee and garden plants in Asia, Oceania, and parts of Africa. Its larvae feed on Coffea species and Gardenia, making its distribution assessment crucial for future agricultural impact and management. This study employed MaxEnt to evaluate the potential distribution of C. hylas under three socioeconomic scenarios between 2041 and 2080. The model demonstrated high accuracy, with AUC values of 0.925 and TSS values of around 0.815. Key environmental factors affecting its distribution include precipitation, isothermality, temperature, and diurnal range. Currently, C. hylas is widespread across continents except Antarctica, with notable populations in Africa and Asia. Under a low-emission scenario, highly suitable habitats are projected to increase by 6.51% by 2080, while a high-emission scenario predicts a 55.46% reduction in suitable areas. This study underscores the need for monitoring and management to address the pest's impact amid climate change.

Indexed as

Climate ChangeMothsAnimalsCoffeaEcosystemLarvaEcological modellingHawk MothMaxEntSpecies distribution model

Identifiers

PMID41760721
PMCPMC13049028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.