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Prediction of the global potential geographical distribution of Hylurgus ligniperda using a maximum entropy model

Zhuojin Wu Tai Gao Youqing Luo Juan Shi

森林生态系统(英文版)2022,Vol.9Issue(4):449-459,11.
森林生态系统(英文版)2022,Vol.9Issue(4):449-459,11.

Prediction of the global potential geographical distribution of Hylurgus ligniperda using a maximum entropy model

Prediction of the global potential geographical distribution of Hylurgus ligniperda using a maximum entropy model

Zhuojin Wu 1Tai Gao 2Youqing Luo 3Juan Shi1

作者信息

  • 1. Beijing Key Laboratory for Forest Pest Control,Beijing Forestry University,Beijing,100083,China
  • 2. Sino-France Joint Laboratory for Invasive Forest Pests in Eurasia,Beijing Forestry University,Beijing,100083,China
  • 3. State Key Laboratory of Rice Biology,Institute of Insect Sciences,Zhejiang University,Hangzhou,310058,China
  • 折叠

摘要

关键词

Climate change/Hylurgus ligniperda/Invasive pest/Maximum entropy model/Potential geographical distribution

Key words

Climate change/Hylurgus ligniperda/Invasive pest/Maximum entropy model/Potential geographical distribution

引用本文复制引用

Zhuojin Wu,Tai Gao,Youqing Luo,Juan Shi..Prediction of the global potential geographical distribution of Hylurgus ligniperda using a maximum entropy model[J].森林生态系统(英文版),2022,9(4):449-459,11.

基金项目

This research was funded by National Key R&D Program of China(No.2021YFC2600400),National Natural Science Foundation of China(No.32171794),and Forestry Science and Technology Innovation Spe-cial of Jiangxi Forestry Department(No.201912). (No.2021YFC2600400)

森林生态系统(英文版)

OACSCDCSTPCDSCI

2095-6355

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