Title :
Predicting the potential distribution patterns of the rare plant Gymnocarpos przewalskii under present and future climate change
Author :
Songmei, Ma ; Mingli, Zhang ; Xi, Chen
Author_Institution :
Xinjiang Inst. of Ecology & Geogr., Chinese Acad. of Sci., Beijing, China
Abstract :
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 on sixteen sampled localities and nineteen environmental layers. Our results indicated that the simulated present distributions agree well with the actual distribution ranges. Under the future climate scenario with Maximum and energy requirements, the G. przewalskii shift broadly northward and westward. Distribution patterns of the rare species changed greatly.
Keywords :
climatology; entropy; vegetation; Gymnocarpos przewalskii; Maxent model; climate change; conservation strategy; geographic distribution; maximum entropy; potential distribution pattern; rare plant; species distributional model; Biological system modeling; Entropy; Environmental factors; Meteorology; Predictive models; Probability; Temperature distribution; Climate change; Geographical distribution patterns; Gymnocarpos przewalskii; Simulation and prediction; potential distribution;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769297