山西大学学报（自然科学版）2018，Vol.41Issue(1)：233-240,8.DOI:10.13451/j.cnki.shanxi.univ(nat.sci.).2018.01.030
基于MaxEnt模型的云南红豆杉潜在适宜分布预测
Prediction of the Potential Suitable Distribution of Taxus Yunnanensis Based on MaxEnt Model
摘要
Abstract
Taxus yunnanensis,a rare and endangered species listed in National Key Protected Wild Plants of Grade Ⅰ,has important economical and medicinal value,and it is of great theoretical and practical significance to predict its potential suitable distribution area.We selected Yunnan Province,the main distribution area of Taxus yunnanensis,as the research area.Based on the effective data of geographic distribution and environment variables,the potential suitable distribution area of Taxus yunnanensis was simulated by using the maximum entropy model (MaxEnt) and geographic information system (GIS),moreover,the primary environmental factors that affected its distribution were analyzed by method of jackknife.And we used receiver operating characteristic (ROC) curve to examine accuracy of the simulation results.The results showed that the value of AUC is 0.864,which indicated that the predicted results of MaxEnt model do well.There is a relatively broad potential suitable distribution area for Taxus yunnanensis which mainly concentrated in the northwest,west and north of Yunnan.Two environment variables of altitude and annual average temperature make great influence on the distribution of Taxus yunnanensis.关键词
云南红豆杉/最大熵模型/潜在适宜分布/物种分布模型Key words
Taxus yunnanensis/MaxEnt model/potential suitable distribution/species distribution model分类
生物科学引用本文复制引用
庄鸿飞,秦浩,王伟,张殷波..基于MaxEnt模型的云南红豆杉潜在适宜分布预测[J].山西大学学报（自然科学版）,2018,41(1):233-240,8.基金项目
国家重点研发计划(2016YFC0503304) （2016YFC0503304）
国家自然科学青年基金(31100392) （31100392）
