ArticleScientific reports2025
Predicting potentially suitable Bletilla striata habitats in China under future climate change scenarios using the optimized MaxEnt model.
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 6 papers.
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Who cites it
6 citing papers in PubMed.
- Climate and Land-Use Change May Reshape the Biogeography of Freshwater Crabs Across China.Ecology and evolution · 2026Article
- Prediction of Potential Habitat Distribution ofBiology · 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
- Effects of soil and climatic factors on the potential distribution ofFrontiers in plant science · 2026Article
- Recent advances inFrontiers in pharmacology · 2025Review
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Authors and funding
7 authors.
Funding
Abstract
Bletilla striata, an important traditional Chinese medicine resource, holds high medicinal and ornamental value. However, unscientific habitat selection for its cultivation has led to low yields and poor quality as medicinal materials in China. The optimized MaxEnt model is a powerful tool for analyzing the potential impacts of environmental factors on species distribution and predicting habitat changes under climate change. It offers great significance for the protection and development of B. striata in China. Based on 269 B. striata distribution records in China and 15 major environmental factors, this study simulated the distribution patterns of potentially suitable B. striata habitats under four different climate change scenarios (SSP1.26, SSP2.45, SSP3.70, and SSP5.85) and three time periods (the current period, 2050s, and 2070s). The analysis was conducted using the MaxEnt model which exhibited high predictive accuracy and minimal overfitting. Solar radiation, annual temperature range and mean diurnal range were revealed as the dominant factors affecting B. striata distribution, and their thresholds were ≤ 16,265.39 kJ/m
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