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    ARTICLE

    Environmental Drivers and Spatial Prediction of the Critically Endangered Species Thuja sutchuenensis in Sichuan-Chongqing, China

    Liang Xie1,2,5, Peihao Peng1,*, Haijun Wang1,3, Shengbin Chen4

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2069-2086, 2022, DOI:10.32604/phyton.2022.018807

    Abstract Identifying the ecological environment suitable for the growth of Thuja sutchuenensis and predicting other potential distribution areas are essential to protect this endangered species. After selecting 24 environmental factors that could affect the distribution of T. sutchuenensis, including climate, topography, soil and Normalized Difference Vegetation Index (NDVI), we adopted the Random Forest-MaxEnt integrated model to analyze our data. Based on the Random Forest study, the contribution of the mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual mean temperature and mean temperature of the driest quarter was large. Based on MaxEnt model prediction outputs, the potential… More >

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