ArticleScientific reports2025
Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Global Warming and Dispersal Limitations Drive the Suitable Habitat Distribution ofPlants (Basel, Switzerland) · 2026Article
- Ecological Niche Differentiation and Distribution Dynamics Revealing Climate Change Responses in the Chinese GenusPlants (Basel, Switzerland) · 2026Article
- Projected shifts in the potential distribution ofFrontiers in plant science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Anthropogenic climate change has hastened habitat loss and fragmentation for wild animals and vegetation. However, the absence of sufficient and trustworthy information on their geographical distribution has impeded effective conservation management strategies. Ligustrum leucanthum is a drought-resistant tree species that can thrive in heavy metal-contaminated soil. Nevertheless, the significant environmental factors that shape its distribution and the changes in its geographical ranges under future climate change scenarios remain unknown. We utilized 84 occurrence records of L. leucanthum along with 51 different environmental factors and employed MaxEnt modeling to predict the current and future suitable habitats for this species. We also analyzed the significant environmental variables that play a role in determining its geographical distribution. We found that water vapor pressure of January (34.3%), the normalized difference vegetation index (27.5%), solar radiation of April (14.8%), and temperature seasonality (4.8%) were the main variables factors limiting the potential geographical distribution of L. leucanthum. Our model predicted 8.64 × 10
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.