ArticleFrontiers in plant science2022
Richness and distribution of endangered orchid species under different climate scenarios on the Qinghai-Tibetan Plateau.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Contrasting Range Shifts of an Endangered OrchidBiology · 2026Article
- Comparative volatile profiling ofFrontiers in plant science · 2026Article
- Predicting the Potential Distribution ofEcology and evolution · 2025Article
- Does Reproductive Success in Orchids Affect the Evolution of Their Number of Flowers?Plants (Basel, Switzerland) · 2025Article
- Differences in responses of invasive and native plants to climate change: a case study ofFrontiers in plant science · 2025Article
- Comparison of the chloroplast genomics of nine endangered Habenaria species and phylogenetic analysis.BMC plant biology · 2024Article
- Assessment of Climate Change Impacts on the Distribution of Endangered and EndemicEcology and evolution · 2024Article
- Prediction of Historical, Current, and Future Configuration of Tibetan Medicinal HerbPlants (Basel, Switzerland) · 2024Article
- Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau, with a maximum entropy model.Ecology and evolution · 2024Article
- Identifying the Risk Regions of Wild Boar (Animals : an open access journal from MDPI · 2023Article
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8 authors.
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Abstract
Predicting the potential influences of climate change on the richness and distribution is essential for the protection of endangered species. Most orchid species are narrowly distributed in specific habitats and are very vulnerable to habitat disturbance, especially for endangered orchid species on the Qinghai-Tibetan Plateau (QTP). In this study, we simulated the potential influences of climate change on the richness and distribution of 17 endangered orchid species on the QTP using the MaxEnt model based on the shared socioeconomic pathways scenarios (SSPs) in the 2050s and 2070s. The results showed that aspect, annual precipitation, elevation, mean temperature of driest quarter, topsoil pH (H
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