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中国生物防治学报 ›› 2025, Vol. 41 ›› Issue (2): 423-435.DOI: 10.16409/j.cnki.2095-039x.2025.02.006

• 研究论文 • 上一篇    

基于MaxEnt模型的银胶菊及其天敌银胶菊叶甲的适生区预测

陈地宝1,2, 张玉1, 杨鸣1, 林蓉2, 刘万学1, Weyl Philip3, 冼晓青1   

  1. 1. 中国农业科学院植物保护研究所/植物病虫害综合治理全国重点实验室, 北京100193;
    2. 云南农业大学, 昆明 650201;
    3. CABI 瑞士中心/农业农村部-CABI 欧洲实验室, 德莱蒙 CH-2800
  • 收稿日期:2024-04-15 发布日期:2025-04-19
  • 通讯作者: 冼晓青
  • 作者简介:陈地宝, 男, 本科生, E-mail:chengdibao2002@163.com;通信作者, 冼晓青, 博士, 副研究员, E-mail:xianxiaoqing@caas.cn。
  • 基金资助:
    国家重点研发计划项目(2021YFD1400100、2021YFD1400101)

Suitable Habitat Prediction of Parthenium hysterophorus and Its Natural Enemy Zygogramma bicolorata based on MaxEnt Model

CHEN Dibao1,2, ZHANG Yu1, YANG Ming1, LIN Rong2, LIU Wanxue1, WEYL Philip3, XIAN Xiaoqing1   

  1. 1. Institute of Plant Protection, Chinese Academy of Agricultural Sciences/State Key Laboratory for Biology of Plant Diseases and Insect Pests, Beijing 100193, China;
    2. Yunnan Agricultural University, Kunming 650201, China;
    3. CABI/MARA China-CABI European Laboratory, Delémont CH-2800, Switzerland
  • Received:2024-04-15 Published:2025-04-19

摘要: 银胶菊Parthenium hysterophorus是一种全球入侵性杂草,广泛分布于热带和亚热带地区。银胶菊叶甲Zygogramma bicolorata作为银胶菊天敌昆虫,对该杂草具有较好的防治效果。预测银胶菊及其生防天敌银胶菊叶甲的适生区可以为其生物防治和区域管理提供参考。因此,本研究基于两个物种的全球发生点和21个环境变量,利用MaxEnt模型预测了银胶菊和银胶菊叶甲在近现代气候条件下的全球适生区。研究结果表明,影响银胶菊适生区分布的主要因子为最冷季节平均温(bio11)、最湿月份降水量(bio13)、最湿季节平均温(bio8)和人类影响指数(HII);影响银胶菊叶甲适生区分布的主要因子为最暖季节平均温(bio10)、最湿月份降水量(bio13)、等温性(bio3)和人类影响指数(HII);银胶菊和银胶菊叶甲在全球的适生区面积分别为5426.79× 104 km2和1410.59× 104 km2,适生区重叠面积为1357.66× 104 km2,主要分布在亚洲(巴基斯坦、印度、中国南部以及大部分东南亚国家),北美洲墨西哥湾沿岸(美国中低纬度地区、墨西哥东部沿海地区),非洲西部的尼日尔河流域和东南部的赞比西河流域(赞比亚、尼日利亚等),南美洲中南部(巴西东南部地区、阿根廷北部地区等)。本研究结果为在适生区重叠区域内利用银胶菊叶甲防治银胶菊提供了依据。

关键词: 银胶菊, 银胶菊叶甲, 适生区, MaxEnt

Abstract: Parthenium hysterophorus is an invasive weed globally, widely distributed in tropical and subtropical regions. The leaf beetle Zygogramma bicolorata, a natural enemy of P. hysterophorus, has shown to be an effective biological control agent in some countries/regions. Predicting the suitable habitats for P. hysterophorus and Z. bicolorata can provide valuable information for its biological control and regional management. Therefore, this study used the MaxEnt model, based on species global occurrence points and 21 environmental variables, to predict the suitable habitats for P. hysterophorus and Z. bicolorata worldwide under nearly current climate. The model suggested that the main factors affecting the distribution of suitable habitats for P. hysterophorus were mean temperature of coldest quarter (bio11), precipitation of wettest month (bio13), mean temperature of wettest quarter (bio8), and human influence index (HII). While the main factors affecting the distribution of suitable habitats for Z. bicolorata were mean temperature of warmest quarter (bio10), precipitation of wettest month (bio13), isothermality (bio3), and human influence index (HII). The model prediction indicates that the area of potential suitable habitats for P. hysterophorus and Z. bicolorata were 5426.79×104 km2 and 1410.59×104 km2 respectively, with an overlapping area of 1357.66×104 km2. These areas were mainly distributed in Asia (Pakistan, India, Southern China and most Southeast Asian countries), the Gulf Coast of North America (low and middle latitudes area of the United States, and the Eastern coast of Mexico), the Niger River Basin in Western Africa and the Zambezi River Basin in Southeastern Africa, as well as Central and Southern South America (Southeastern Brazil and Northern Argentina). The results of this study provide a basis for using Z. bicolorata to control P. hysterophorus in their overlapping regions.

Key words: Parthenium hysterophorus, Zygogramma bicolorata, suitable habitat, Maxent

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