ArticleFrontiers in plant science2024
Predicting the geographical distribution and niche characteristics of
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Predict Suitable Restoration Areas for Typical Vegetation Restoration Species on the Qinghai-Tibetan Plateau Based on MaxEnt.Ecology and evolution · 2026Article
- Evaluating the impact of anthropogenic activities and climate change on distribution dynamics and habitat suitability of Lophira alata in Nigeria.Scientific reports · 2026Article
- Optimized MaxEnt modeling predicts the distribution change ofFrontiers in plant science · 2026Article
- Advancements in ecological niche models for forest adaptation to climate change: a comprehensive review.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Predicting habitat suitability for an endangered medicinal plant,Frontiers in plant science · 2025Article
- Projected distribution patterns ofFrontiers in plant science · 2025Article
- The Influence of Climate Change on the Distribution ofPlants (Basel, Switzerland) · 2024Article
- Simulation ofFrontiers in plant science · 2024Article
- Response mechanism of water status and photosynthetic characteristics ofFrontiers in plant science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Arid and semi-arid regions are climate-sensitive areas, which account for about 40% of the world's land surface area. Future environment change will impact the environment of these area, resulting in a sharp expansion of arid and semi-arid regions. Methods: In this study, we predicted the potential distribution of Results: The major factors that explained the geographical distribution of Discussion: The MaxEnt 2.0 model predicted the potential distribution pattern of
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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.