Evidence map›Paper›PMID 42399306›Full record

ArticleScientific reports2026

Predicting global distribution shifts of Tabanus taeniola under different climate change scenarios.

Abdalrahman E Afifi, Refaat M Gabre, Areej A Al-Khalaf, Abeer M Salem, Fadila Al Salameen, Mohamed G Nasser

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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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Abdalrahman E AfifiDepartment of Biotechnology, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Refaat M GabreDepartment of Biotechnology, Faculty of Science, Cairo University, Giza, 12613, Egypt. rgabre@sci.cu.edu.eg.
Areej A Al-KhalafBiology Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.
Abeer M SalemDepartment of Biotechnology, Faculty of Science, Cairo University, Giza, 12613, Egypt.
Fadila Al SalameenKuwait institute for scientific research Environmental and life sciences research center Food security program, Kuwait City, Kuwait.
Mohamed G NasserResearch Lab of Biogeography and Wildlife Parasitology, Entomology Department, Faculty of Science, Ain Sham University, Cairo, 11566, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change poses a significant threat to global biodiversity, altering species ranges and ecological dynamics. This study investigates the impact of climate change on Tabanus taeniola (Diptera: Tabanidae), a widely distributed horsefly with ecological importance in Africa and South America. Our objective was to model its current habitat suitability and predict future distribution shifts under various climatic scenarios. Using occurrence data from GBIF and and bioclimatic variables from WorldClim (BIO1-BIO19), we screened predictors for multicollinearity and calibrated MaxEnt models using a final subset of five variables. The model showed high accuracy, with an AUC of 0.918. Our findings identify the Minimum Temperature of the Coldest Month (BIO6) and Mean Temperature of Coldest Quarter (BIO11) as the key climatic drivers, with the species thriving in temperatures from 16 °C to 29 °C. Future projections, using the BCC-CSM2-MR and MRI-ESM2-0 models under SSP370 and SSP585 scenarios for 2050-2070, predict significant distributional shifts. We forecast a decline in optimal habitats in lowland tropical regions, with an expansion into temperate zones and higher altitudes in East Africa, South America, and parts of southern Europe. These projections indicate substantial redistribution toward higher elevations and temperate regions under future warming scenarios.

Indexed as

Climate ChangeDipteraAnimalsBiodiversityEcosystemSouth AmericaTemperatureArcGISEcological niche modelingMaxEntSpecies distribution modelingTemperature extremesVector ecology

Identifiers

PMID42399306
PMCPMC13332217

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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.