Effects of Environmental Variables and Species'Distribution Data in MaxEnt Modeling on Potential Suitable Habitats Prediction of Paeonia decomposita
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 habitats prediction of MaxEnt model was discussed by analyzing the spatial and probability distribution differences of the prediction results.The results show extremely poor effects when only terrain factors are used,that the predicted areas are severely generalized.While the climatic factors show a better result,and it is an important environmental factor affecting the distribution of P.decomposita in Sichuan.The species'distribution data would cause a deviation on the predicted suitable habitats,which is related to the information contained in the species distribution data.When constructing the MaxEnt model to predict the suitable habitats for species,it is necessary to consider the ecological needs of the species and analyze the impact of environmental variables and species distribution data on the prediction results.
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