ArticleScientific reports2024
Integrated approach to predicting habitat suitability and evaluating quality variations of Notopterygium franchetii under climate change.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Spatial Distribution Dataset of All Constructive Grass Species in Tibetan Grasslands under 2024 and 2060.Scientific data · 2026Article
- Predicting the impact of climate change on the habitat suitability and phytochemical quality of Salvia multicaulis Vahl.BMC plant biology · 2025Article
- Ecological Niche Modeling of Three Fangfeng Species Under Present and Future Climate Scenarios.Ecology and evolution · 2025Article
- Construction of a core collection of Notopterygii Rhizoma et Radix based on molecular phylogeography.BMC plant biology · 2025Article
- Biomod2 modeling for predicting the potential ecological distribution of Lilium Davidii var. Willmottiae (E. H. Wilson) Raffill.Scientific reports · 2025Article
- Population Genetic Diversity and Species Distribution Evaluation ofEcology and evolution · 2025Article
- Predicting the Potential Distribution ofEcology and evolution · 2025Article
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4 authors.
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Abstract
The impact of climate change on medicinal plants has significantly altered their suitable environments, thereby affecting the quality of herbal medicines. Notopterygium franchetii (N. franchetii), a medicinal plant intricately linked to its natural habitat, exhibits substantial quality variations influenced by the ecological conditions of its native region. In this study, comprehensive field surveys were conducted to gather occurrence records and samples of N. franchetii. The Maxent model and ArcGIS software were employed to predict the suitable habitats of N. franchetii during different time periods. A high-performance liquid chromatography (HPLC) method was developed to establish the chemical fingerprints of 21 sample batches. Fourteen common peaks were subjected to cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. The findings revealed quality variations correlated with their geographic origins, identifying peaks 10, 1, 14, 3, and 4 as crucial for quality differentiation. The study indicates that precipitation, temperature, and altitude significantly influence the distribution of N. franchetii. Under current climate conditions, the suitable habitat area for N. franchetii is estimated to be approximately 94,637.33 km
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