Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau (QTP), with a maximum entropy model
Lucun Yang,
Xiaofeng Zhu,
Wenzhu Song
et al.
Abstract:Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, the MaxEnt model was used to predict the potential suitable area of 12 threatened medicinal plants in the QTP (Qinghai-Tibet Plateau) under the current and future (2050s, 2070s) three climate scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that the climatically suitable habitats for the threate… Show more
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