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Journal of Gansu Forestry Science and Technology. 2024, (04)

Effects of Environmental Variables and Species’ Distribution Data in MaxEnt Modeling on Potential Suitable Habitats Prediction of Paeonia decompositaChinese Full Text

ZHANG Shuyu;LI Chen;ZHANG Yanzhou;Sichuan Daduhe Shuangjiangkou Hydropower Development Co., Ltd.;Sichuan Forestry and Grassland Survey and Planning Institute;

Abstract: The MaxEnt model has been widely used in the prediction of potential suitable habitats of species.This study investigated the influence of environmental variables and species’ distribution data in MaxEnt modeling of potential suitable habitats prediction by constructing models with different environmental variables and species’ distribution data,using Paeonia decomposita as a case study.The influence of environmental variables and species’ distribution data on the prediction of the suitable habi... More
Keywords：

MaxEnt; environment variables; species distribution; potential suitable habitats;

  • Series：

    (D) Agriculture

  • Subject：

    Horticulture

  • Classification Code：

    S685.11

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