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林业小蠹类昆虫在中国的适生性分析综合比较研究
引用本文:宋昱东,王聪,潘绪斌,曹传旺.林业小蠹类昆虫在中国的适生性分析综合比较研究[J].植物保护学报,2023,50(6):1419-1430.
作者姓名:宋昱东  王聪  潘绪斌  曹传旺
作者单位:东北林业大学林学院, 哈尔滨 150040;中国检验检疫科学研究院, 北京 100176
基金项目:国家重点研发计划项目(2021YFC2600403,2018YFF0214905),中央高校基本科研业务费专项资金(2572019CG04)
摘    要:小蠹类昆虫是重要的林业害虫类群,严重威胁我国的林业生产和生态安全,具有重要的经济意义。综合比较中国林业小蠹类昆虫的适生性分析方法,有助于把握林业小蠹类昆虫物种分布模型的研究动向。该文归纳整理中国林业小蠹类昆虫的适生性分析文献,统计文献所使用的模型、适生性等级划分标准以及文献来源等信息,并对小蠹类昆虫适生性分析未来发展进行展望,以期为林业有害生物防控提供参考。

关 键 词:小蠹科  长蠹科  物种分布模型  潜在地理分布  适生区
收稿时间:2023/9/6 0:00:00

Comprehensive comparative study on the adaptability analysis of bark and ambrosia beetles in China
Song Yudong,Wang Cong,Pan Xubin,Cao Chuanwang.Comprehensive comparative study on the adaptability analysis of bark and ambrosia beetles in China[J].Acta Phytophylacica Sinica,2023,50(6):1419-1430.
Authors:Song Yudong  Wang Cong  Pan Xubin  Cao Chuanwang
Institution:College of Forestry, Northeast Forestry University, Harbin 150040, Heilongjiang Province, China;Chinese Academy of Inspection and Quarantine, Beijing 100176, China
Abstract:The bark and ambrosia beetles constitute an important group of forestry pests that pose a serious threat to China''s forestry production and ecological security, holding significant economic importance. A comprehensive comparative study on the adaptability analysis methods of these beetles in China helps to understand research trends related to species distribution models. This article summarized and analyzed literature pertaining to the adaptability analysis of bark and ambrosia beetles in China. It organized collected records based on the application of different species distribution models and performed statistical analysis on models used, analysis regions, climatic conditions, classification criteria of suitability grade, literature sources, and other pertinent information. It provided prospects for future development of adaptability analysis, serving as a valuable reference for development of strategies for forest pest prevention and control.
Keywords:Scolytidae  Bostrichidae  species distribution model  potential geographic distribution  suitable region
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