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
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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.

探索公民科学对欧盟害虫统计健全和基于风险的监测的贡献
本报告探讨了将公民科学纳入害虫监测的方法,旨在加强统计上合理和基于风险的调查。这项研究由瓦赫宁根大学的研究人员进行,主要关注三个主要目标。首先,它编制了一份欧洲公民科学计划的综合清单,确定了来自21个国家的81个项目,这些项目贡献了重要的生物多样性数据。其次,它开发了一种统计方法,利用来自公民科学的机会主义、仅存在的数据来估计害虫检测的概率。该方法在三种害虫上进行了测试:日本菊、拟南稻和中国天牛,表明公民科学可以有意义地补充官方调查。第三,该报告提供了将这些发现纳入欧洲食品安全局(EFSA)和国家植物保护组织(NPPOs)使用的现有工具和方法的指导方针。结果表明,公民科学可以提高对害虫无害的总体信心,并减少官方调查所需的样本量。然而,该研究还强调了公民科学数据固有的空间和时间偏差,以及需要进一步研究以优化其与害虫监测框架的整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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