• DocumentCode
    3168902
  • 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
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    1513
  • Lastpage
    1515
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769297
  • Filename
    5769297