The Potential Habitat of <i>Liparis campylostalix</i> (Orchidaceae) in China Under Climate Change Scenario Predicted by MaxEnt Model. [PDF]
Deng M +5 more
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Machine Learning-Based Geospatial Risk Modeling of Global Avian Influenza Outbreaks. [PDF]
Jindal M, Lim S, MacIntyre CR.
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Predicting the impact of climate change on the suitable habitat of Populus qiongdaoensis in Hainan Island using MaxEnt modeling. [PDF]
Tian Y +8 more
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Potential Geographic Distribution of the Rare and Endangered Plant <i>Sauvagesia rhodoleuca</i> in China Under Climate Change Scenarios. [PDF]
Wei J +6 more
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Global Warming and Dispersal Limitations Drive the Suitable Habitat Distribution of <i>Castanopsis indica</i>, <i>Castanopsis hystrix</i>, <i>Schima wallichii</i> Forest in China. [PDF]
Zhang H, Bian Z, Ji X, Wang Z, Liu Z.
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Environmental Shaping Suitable Habitats and Quality of <i>Lonicera macranthoides</i> Hand.-Mazz.: Insights from MaxEnt, HPLC, Chemometrics, and Gene Expression Analysis. [PDF]
Xu N +9 more
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MaxEnt with remote sensing for tea plantation suitability under climate change. [PDF]
Wu S, Tian P, Zhu X, Dong H, Liu S.
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Prediction of Potential Habitat Distribution of <i>Cibotium barometz</i> (L.) J. Sm. Under Climate Change Based on a Multi-Model Ensemble Framework. [PDF]
Jiang H +8 more
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Predicting the Potential Distribution of <i>Aconitum carmichaelii</i> Debeaux in China Under Climate Change Using an Optimized MaxEnt Model. [PDF]
Chen J +9 more
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Current and Future Potential Distribution of the Invasive Thrips <i>Echinothrips americanus</i> (Terebrantia: Thripidae) Under Global Climate Change. [PDF]
Hu Q, Wang C, Yang X, Wang F.
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