卫海燕

副教授 Supervisor of Master's Candidates

Recommended MA Supervisor

Personal Information

Paper Publications

刘嘉敏,guyu,weihaiyan,郑嘉莺,陈瑞顿,王璐坤,姜璠,Constructing indicator species distribution models to study the potential invasion risk of invasive plants: A case of the invasion of Parthenium hysterophorus in China:Ecology and Evolution,2023.11.1,13:e10672
郑嘉莺,weihaiyan,陈瑞顿,刘嘉敏,王璐坤,guyu,Invasive Trends of Spartina alterniflora in the Southeastern Coast of China and PotentialDistributional Impacts onMangrove Forests:Plants,2023.5.9,12:1923
王璐坤,weihaiyan,刘嘉敏,刘静,方雅琴,王大菊,陈瑞顿,guyu,Revealing the long-term trend of the global-scale Ginkgo biloba distribution and the impact of future climate change based on the ensemble modeling:Biodiversity and Conservation,2023.4.3,32:2077–2100
张权中,顾蔚,刘静,赵泽芳,冉巧,A Bayesian network with fuzzy mathematics for species habitat suitability analysis: A case with limited Angelica sinensis (Oliv.) Diels data:Ecological Modelling,2021.4.22,450:109560
方雅琴,顾蔚,王大菊,陈瑞顿,王璐坤,张旭惠,Predicting the invasive trend of exotic plants in China based on the ensemble model under climate change: a case for three invasive plants of Asteraceae:Science of the Total Environment,2021.1.1,756:143841
王大菊,顾蔚,张旭惠,方雅琴,Habitat suitability modeling based on remote sensing to realize time synchronization of species and environmental variables:Journal of Plant Ecology,2020.11.29,14:241-256
赵泽芳,卫海燕,郭彦龙,冉巧,刘静,张权中,顾蔚,Potential distribution of Notopterygium incisum Ting ex H. T. Chang and its predicted responses to climate change based on a comprehensive habitat suitability model:Ecology and Evolution,2020.3.5,10(6):3004-3016
张旭惠,卫海燕,赵泽芳,刘静,张权中,张小燕,顾蔚,The global potential distribution of invasive plants: Anredera cordifolia under climate change and human activity based on Random Forest models:Sustainability,2020.2.17,12(4):1491
王大菊,卫海燕,贺敏,辜清,马明国,李晶,基于土地利用的三峡库区生态系统服务价值时空格局分析:长江流域资源与环境,2020.1.31,29(1):90-100
张小燕,顾蔚,张旭惠,刘静,张权中,Non-pessimistic predictions of the distributions and suitability of Metasequoia glyptostroboides under climate change using a Random Forest model:Forests,2020.1.4,11(1):62

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