应用生态学报2025，Vol.36Issue(2)：614-624,11.DOI:10.13287/j.1001-9332.202502.025
最大熵模型在物种生境预测中的应用研究进展
Research progress on the application of the MaxEnt model in species habitat prediction
摘要
Abstract
Climate change and anthropogenic activities are profoundly affecting species distribution range and habi-tat suitability.In recent years,using models to predict potential suitable habitats for different species has become one of the research focuses in this field.The maximum entropy model(MaxEnt),a machine learning model based on the data of species distribution and environmental variables,has been widely used in predicting species habitats.First,we introduced the mechanism,establishment process,optimization method and assessment system of the MaxEnt model.Then,we reviewed the application of the model in potential habitat prediction of endangered species and invasive species,and the simulation of the potential distribution of species under future climate change.Fina-lly,we proposed current challenges and future development prospects of the MaxEnt model,aiming to strengthen its role in predicting the natural distribution of species,and provide technical references for biodiversity conservation and management.关键词
物种/MaxEnt模型/生境/适宜性/生物多样性Key words
species/MaxEnt model/habitat/suitability/biodiversity引用本文复制引用
杨佳悦,丁国玉,田秀君..最大熵模型在物种生境预测中的应用研究进展[J].应用生态学报,2025,36(2):614-624,11.基金项目
本文由国家重点研发计划项目(2022YFB2303101)资助. （2022YFB2303101）
