Exploring the contribution of citizen science to statistically sound and risk-based surveillance of insect pests in the EU

Eveline van Woensel, Wopke van der Werf, Stephen Parnell, Arnold van Vliet, Bob (J.C.) Douma
{"title":"Exploring the contribution of citizen science to statistically sound and risk-based surveillance of insect pests in the EU","authors":"Eveline van Woensel,&nbsp;Wopke van der Werf,&nbsp;Stephen Parnell,&nbsp;Arnold van Vliet,&nbsp;Bob (J.C.) Douma","doi":"10.2903/sp.efsa.2025.EN-9186","DOIUrl":null,"url":null,"abstract":"<p>This report explores the integration of citizen science into the surveillance of insect pests, aiming to enhance statistically sound and risk-based surveys. The study, conducted by researchers from Wageningen University, focuses on three primary objectives. First, it compiles a comprehensive inventory of citizen science initiatives across Europe, identifying 81 projects from 21 countries that contribute significant biodiversity data. Second, it develops a statistical methodology to estimate the probability of pest detection using opportunistic, presence-only data from citizen science. This methodology is tested on three insect pests: <i>Popillia japonica, Agrilus planipennis, and Anoplophora chinensis</i>, demonstrating that citizen science can meaningfully complement official surveys. Third, the report provides guidelines for incorporating these findings into existing tools and methods used by the European Food Safety Authority (EFSA) and National Plant Protection Organizations (NPPOs). The results indicate that citizen science can increase the overall confidence in pest freedom and reduce the required sample sizes for official surveys. However, the study also highlights the spatial and temporal biases inherent in citizen science data and the need for further research to optimize its integration into pest surveillance frameworks.</p>","PeriodicalId":100395,"journal":{"name":"EFSA Supporting Publications","volume":"22 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2025.EN-9186","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EFSA Supporting Publications","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2025.EN-9186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This report explores the integration of citizen science into the surveillance of insect pests, aiming to enhance statistically sound and risk-based surveys. The study, conducted by researchers from Wageningen University, focuses on three primary objectives. First, it compiles a comprehensive inventory of citizen science initiatives across Europe, identifying 81 projects from 21 countries that contribute significant biodiversity data. Second, it develops a statistical methodology to estimate the probability of pest detection using opportunistic, presence-only data from citizen science. This methodology is tested on three insect pests: Popillia japonica, Agrilus planipennis, and Anoplophora chinensis, demonstrating that citizen science can meaningfully complement official surveys. Third, the report provides guidelines for incorporating these findings into existing tools and methods used by the European Food Safety Authority (EFSA) and National Plant Protection Organizations (NPPOs). The results indicate that citizen science can increase the overall confidence in pest freedom and reduce the required sample sizes for official surveys. However, the study also highlights the spatial and temporal biases inherent in citizen science data and the need for further research to optimize its integration into pest surveillance frameworks.

求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信