安徽农业科学2026，Vol.54Issue(8)：192-198,7.DOI:10.3969/j.issn.0517-6611.2026.08.033
基于MaxEnt模型的烟粉虱(Bemisia tabaci)全球适生区预测
Prediction of Global Fitness Zones of the Bemisia tabaci Based on the MaxEnt Model
黄英凤 1刘建宏1
作者信息
- 1. 湖南人文科技学院农业与生物技术学院,湖南 娄底 417000
- 折叠
摘要
Abstract
Bemisia tabaci is a complex of several genetically distinct cryptic species,and as a globally invasive pest,its infestation poses a serious threat to crop yields and economic returns.In this study,we predicted the potential global distribution of Bemisia tabaci under current climatic conditions using the MaxEnt model.Model evaluation showed that the area under the curve(ROC-AUC)of the working characteristics of the subjects reached 0.915;significance analyses indicated that the mean temperature of coldest quarter(BIO11),isothermality(BIO3)and the precipitation of wettest month(BIO13)were the dominant environmental factors.The prediction of suitable areas showed that the non-suitable areas for Bemisia tabaci accounted for 71.68%of the global land area,and the suitable areas together accounted for 28.32%,of which the low,medium and highly suitable areas accounted for 13.24%,10.75%and 4.33%respectively.The highly suitable areas were concentrat-ed in the tropical and subtropical regions near the equator.The present study has elucidated the differences in the response of Bemisia tabaci populations to climate change and their geographical distribution pattern,which provides a basis for the prevention and control of Bemisia taba-ci damage,as well as a reference framework for the management of other invasive species.关键词
烟粉虱/入侵害虫/MaxEnt模型/适生区/潜在分布Key words
Bemisia tabaci/Invasive pest/MaxEnt model/Habitable zone/Potential distribution分类
农业科技引用本文复制引用
黄英凤,刘建宏..基于MaxEnt模型的烟粉虱(Bemisia tabaci)全球适生区预测[J].安徽农业科学,2026,54(8):192-198,7.
