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This study modeled the potential distribution of endemic Potaninia mongolica in the eastern Central Asian desert by using ecological niche model: the Genetic Algorithm for Rule-set Prediction (GARP). We created predictive models using herbarium collection data and environmental layers. For model evaluation, we chose the area under the receiver operating characteristic (ROC) curve (AUC) as a single...
Knowledge about the geographic distribution of the rare and relic plant Gymnocarpos przewalskii is very important to inform conservation strategies. In this study, we attempt to simulate and predict the potential geographic distribution of the species under present and future climate change, using the model of maximum entropy (Maxent), a species distributional model. We created predicting models based...
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