Potential Distribution Pattern and Ecological Suitability Analysis of <i>Hippophae Tibetana</i> Schltdl in China Based on the MaxEnt Model. [PDF]
Ma T, Yong D, Xu D, He Z, Zhuo Z.
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Predicting the potential distribution of three medicinal <i>Gentiana</i> species in China under climate change scenarios with the MaxEnt model. [PDF]
Luo J +6 more
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MaxEnt model-based prediction of potential suitable habitats of three Trichosanthes L. species in China under future climate change scenarios. [PDF]
Wang X +5 more
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Predicting the current and future distribution of <i>Helianthus tuberosus</i> L. in China using the MaxEnt model under climate change scenarios. [PDF]
Liu Y, Zhao Q, Dai Y, Ren Y, Zhao M.
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Optimized MaxEnt model predicts potential suitable habitats of <i>Bidens bipinnata</i> in China under climate change scenario. [PDF]
Liu Y +5 more
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Prediction of Potential Distribution of Seven Plant Species of <i>Aster</i> (Asteraceae) Based on MaxEnt Model. [PDF]
Qin J +5 more
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Assessing the impact of climate change on habitat dynamics of <i>Hovenia dulcis</i> in China using the MaxEnt model. [PDF]
Li X +9 more
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Predicting the potential distribution of <i>Corylus heterophylla</i> in China under future climate change using an optimized MaxEnt model. [PDF]
Wang J, Xing W, Sun P, Liu D, Cheng C.
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Predicting the potential distribution and climatic response of the endangered medicinal and edible species, Anoectochilus roxburghii, using an optimized MaxEnt model. [PDF]
Hou Y +7 more
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Global potential distribution of <i>Paeonia lactiflora</i> and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables. [PDF]
Cai J, Wang S, Fan Z, Han R, Tong X.
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