基于植被和气象因素估算日本北部入侵菊花花边虫Corythucha marmorata的潜在分布

IF 1.2 4区 农林科学 Q2 ENTOMOLOGY
Hideto Yoshimura, Yusuke Tsushima, Ken Tabuchi, Yusuke Masuya
{"title":"基于植被和气象因素估算日本北部入侵菊花花边虫Corythucha marmorata的潜在分布","authors":"Hideto Yoshimura,&nbsp;Yusuke Tsushima,&nbsp;Ken Tabuchi,&nbsp;Yusuke Masuya","doi":"10.1007/s13355-025-00912-0","DOIUrl":null,"url":null,"abstract":"<div><p>The chrysanthemum lace bug, <i>Corythucha marmorata</i> (Uhler) (Hemiptera: Tingidae), is an invasive agricultural pest. A logistic regression model to estimate the distribution of <i>C. marmorata</i> was developed based on both vegetation and meteorological information, and the potential distribution area was mapped for effective pest management in northern Honshu Island, Japan. Deciduous broadleaf forests and urban areas had significant negative and positive effects, respectively, and no interaction was statistically significant between vegetation and meteorological information on the probability of presence. Comparing the degree of influence between variables indicated that their distribution was limited mainly by vegetation rather than the average daily minimum temperatures in January, probably related to the environment for establishing the major host plant, tall goldenrod <i>Solidago altissima</i> L. (Asterales: Asteraceae). The accuracy of the prediction model was 65.2% and indicated that the surveyed area included both established and progressive invasion areas. The accuracy dramatically improved in the established area (94.4%) but declined in the progressing area (34.3%). The percentage of data correctly predicted as present was 98.8%, whereas the specificity of the percentage of absent data correctly predicted as absent was 11.3%. Based on the valuation index results, our model could estimate the presence of <i>C. marmorata</i> with high reliability.</p></div>","PeriodicalId":8551,"journal":{"name":"Applied Entomology and Zoology","volume":"60 3","pages":"241 - 247"},"PeriodicalIF":1.2000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the potential distribution in the invasive chrysanthemum lace bug, Corythucha marmorata (Hemiptera: Tingidae), in northern Japan based on vegetation and meteorological factors\",\"authors\":\"Hideto Yoshimura,&nbsp;Yusuke Tsushima,&nbsp;Ken Tabuchi,&nbsp;Yusuke Masuya\",\"doi\":\"10.1007/s13355-025-00912-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The chrysanthemum lace bug, <i>Corythucha marmorata</i> (Uhler) (Hemiptera: Tingidae), is an invasive agricultural pest. A logistic regression model to estimate the distribution of <i>C. marmorata</i> was developed based on both vegetation and meteorological information, and the potential distribution area was mapped for effective pest management in northern Honshu Island, Japan. Deciduous broadleaf forests and urban areas had significant negative and positive effects, respectively, and no interaction was statistically significant between vegetation and meteorological information on the probability of presence. Comparing the degree of influence between variables indicated that their distribution was limited mainly by vegetation rather than the average daily minimum temperatures in January, probably related to the environment for establishing the major host plant, tall goldenrod <i>Solidago altissima</i> L. (Asterales: Asteraceae). The accuracy of the prediction model was 65.2% and indicated that the surveyed area included both established and progressive invasion areas. The accuracy dramatically improved in the established area (94.4%) but declined in the progressing area (34.3%). The percentage of data correctly predicted as present was 98.8%, whereas the specificity of the percentage of absent data correctly predicted as absent was 11.3%. Based on the valuation index results, our model could estimate the presence of <i>C. marmorata</i> with high reliability.</p></div>\",\"PeriodicalId\":8551,\"journal\":{\"name\":\"Applied Entomology and Zoology\",\"volume\":\"60 3\",\"pages\":\"241 - 247\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Entomology and Zoology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s13355-025-00912-0\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENTOMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Entomology and Zoology","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s13355-025-00912-0","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENTOMOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

菊花花边虫,Corythucha marmorata (Uhler)(半翅目:Tingidae),是一种入侵性农业害虫。以日本本州岛北部为研究区,利用植被和气象资料建立了柽柳分布的logistic回归模型,并绘制了柽柳潜在分布区图。落叶阔叶林和城市地区对植被的存在概率分别有显著的正向和负向影响,植被与气象信息对存在概率的交互作用无统计学意义。各变量间的影响程度比较表明,它们的分布主要受植被限制,而不是受1月份日平均最低气温的限制,这可能与主要寄主植物高黄花(紫菀科)的建立环境有关。预测模型的准确率为65.2%,表明调查区域既包括已建立的入侵区,也包括正在发展的入侵区。准确度在既定区域显著提高(94.4%),但在进展区域下降(34.3%)。正确预测存在的数据百分比为98.8%,而正确预测缺失数据百分比的特异性为11.3%。根据评价指标的结果,该模型能够较好地估计出青椒的存在,具有较高的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimating the potential distribution in the invasive chrysanthemum lace bug, Corythucha marmorata (Hemiptera: Tingidae), in northern Japan based on vegetation and meteorological factors

Estimating the potential distribution in the invasive chrysanthemum lace bug, Corythucha marmorata (Hemiptera: Tingidae), in northern Japan based on vegetation and meteorological factors

The chrysanthemum lace bug, Corythucha marmorata (Uhler) (Hemiptera: Tingidae), is an invasive agricultural pest. A logistic regression model to estimate the distribution of C. marmorata was developed based on both vegetation and meteorological information, and the potential distribution area was mapped for effective pest management in northern Honshu Island, Japan. Deciduous broadleaf forests and urban areas had significant negative and positive effects, respectively, and no interaction was statistically significant between vegetation and meteorological information on the probability of presence. Comparing the degree of influence between variables indicated that their distribution was limited mainly by vegetation rather than the average daily minimum temperatures in January, probably related to the environment for establishing the major host plant, tall goldenrod Solidago altissima L. (Asterales: Asteraceae). The accuracy of the prediction model was 65.2% and indicated that the surveyed area included both established and progressive invasion areas. The accuracy dramatically improved in the established area (94.4%) but declined in the progressing area (34.3%). The percentage of data correctly predicted as present was 98.8%, whereas the specificity of the percentage of absent data correctly predicted as absent was 11.3%. Based on the valuation index results, our model could estimate the presence of C. marmorata with high reliability.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.70
自引率
7.70%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Applied Entomology and Zoology publishes articles concerned with applied entomology, applied zoology, agricultural chemicals and pest control in English. Contributions of a basic and fundamental nature may be accepted at the discretion of the Editor. Manuscripts of original research papers, technical notes and reviews are accepted for consideration. No manuscript that has been published elsewhere will be accepted for publication.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信