ArticlePlants (Basel, Switzerland)2022
MaxEnt Modeling to Predict the Current and Future Distribution of
Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 47 citations in OpenAlex.
- Predicting Climate Change-Induced Habitat Contraction ofBiology · 2026Article
- Predicting the Potential Distribution ofPlants (Basel, Switzerland) · 2026Article
- Assessing the ecological quality of Rheum tanguticum based on machine learning models and cultivation verification.NPJ science of food · 2025Article
- The Qinghai-Tibet Plateau: Climate change, human activity, and plant diversity.Plant diversity · 2025Review
- Comprehensive Analysis of the Impact of Climate Change and Human Activities on the Distribution of FiveEcology and evolution · 2025Article
- Combining Niche Breadth to Predict the Current and Future Distribution of Leguminosae Under Climate Change on the Qinghai-Xizang Plateau.Ecology and evolution · 2025Article
- Predicting the impact of climate change on the distribution of rhododendron on the qinghai-xizang plateau using maxent model.Scientific reports · 2025Article
- Predicting suitable habitats of parasitic desert species based on Biomod2 ensemble model: Cynomorium songaricum rupr and its host plants as an example.BMC plant biology · 2025Article
- Impact of climate change on the potential global prevalence ofFrontiers in plant science · 2025Article
- Prediction of Chinese suitable habitats of Panax notoginseng under climate change based on MaxEnt and chemometric methods.Scientific reports · 2024Article
- Forest Orchids under Future Climate Scenarios: Habitat Suitability Modelling to Inform Conservation Strategies.Plants (Basel, Switzerland) · 2024Article
- Prediction of potential distributions ofEcology and evolution · 2024Article
- Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau, with a maximum entropy model.Ecology and evolution · 2024Article
- The ecological suitability area ofEcology and evolution · 2024Article
- Population status, habitat preferences and predictive current and future distributions of three endangeredFrontiers in plant science · 2024Article
- Predicting potential and quality distribution ofFrontiers in plant science · 2024Article
- Predicting the potential distribution of Astragali Radix in China under climate change adopting the MaxEnt model.Frontiers in plant science · 2024Article
- Article
- Determining Effective Environmental Factors in the Distribution of Endangered Endemic Medicinal Plant Species Using the BMLR Model: The Example of Wild Celery (Plants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
As an important Tibetan medicine and a secondary protected plant in China,
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.