Evidence map›Paper›PMID 42601577›Full record

ArticleOecologia2026

Projecting shifts in the distribution of Vachellia tortilis subsp. raddiana in Africa under climate change: a MaxEnt modeling and GIS analysis.

Biyu Liu, Wahbi Jaouadi, Kaouther Mechergui, Jehan Abdalgader A Alkhelaif, Melek Mallat, Danping Xu

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Article in Oecologia, 2026. 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

6 authors.

Biyu LiuCollege of Life Science, China West Normal University, Nanchong, 637002, China.
Wahbi JaouadiLaboratory of Forest Ecology, Water, and Forestry, National Research Institute of Rural Engineering, University of Carthage, Street of Hedi Karay, BP no. 10, Ariana, 2080, Tunisia.
Kaouther MecherguiLaboratory of Forest Ecology, Water, and Forestry, National Research Institute of Rural Engineering, University of Carthage, Street of Hedi Karay, BP no. 10, Ariana, 2080, Tunisia.
Jehan Abdalgader A AlkhelaifDepartment of Geography, College of Humanities and Social Sciences, King Saud University, Riyadh, Saudi Arabia.
Melek MallatLaboratory of Forest Ecology, Water, and Forestry, National Research Institute of Rural Engineering, University of Carthage, Street of Hedi Karay, BP no. 10, Ariana, 2080, Tunisia.
Danping XuCollege of Life Science, China West Normal University, Nanchong, 637002, China. danpingxu@foxmail.com.

Funding

Fundamental Research Funds of China West Normal University 20A007, 20E051, 21E040 and 22kA011
6 · The paper itself

Abstract

Vachellia tortilis (Forssk.) Hayne subsp. raddiana (Savi) Brenan, a drought-resistant tree native to arid and semi-arid regions of Africa and the Middle East, plays a crucial ecological and socioeconomic role by providing shade, forage, fuelwood, and contributing to soil stabilization and desertification control. To support scientific site selection for artificial planting and assess its current and potential distribution, we used the MaxEnt model combined with ArcGIS to evaluate climatic suitability across Africa based on occurrence records and environmental variables. After ten iterations, the model achieved high predictive accuracy with training and test AUC values of 0.942. Eight key bioclimatic factors shaped the distribution, with Mean Temperature of the Coldest Quarter (32.1%) and Isothermality (28.6%) exerting the greatest influence. Present-day highly suitable habitats (496.69 × 10

Indexed as

Climate ChangeAfricaEcosystemGeographic Information SystemsClimate changeEcological niche modelingHabitat suitabilityMaxEntSpecies distribution modelVachellia tortilis

Identifiers

PMID42601577

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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.