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评估用于识别检疫性植物病虫害侵染区域的划定策略。

Assessing delimiting strategies to identify the infested zones of quarantine plant pests and diseases.

作者信息

Koh Jun Min Joshua, Cunniffe Nik J, Parnell Stephen

机构信息

School of Life Sciences, The University of Warwick, Coventry, CV4 7AL, UK.

Department of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.

出版信息

Sci Rep. 2025 Feb 15;15(1):5610. doi: 10.1038/s41598-025-90343-2.

Abstract

Following the discovery of a quarantine plant pest or disease, delimitation is urgently conducted to define the boundaries of the infested area, typically through surveys that detect the presence or absence of the pest. Swift and accurate delimitation is crucial after a pest or pathogen enters a new region for containment or eradication. Delimiting an area that is too small allows the pest to spread uncontrollably, while delimited areas that are too large can lead to excessive economic costs, making eradication cost-prohibitive. Despite its significance, there is a lack of comprehensive reviews on delimiting strategies and their effectiveness in managing plant pests; many current practices are ad-hoc and not scientifically based. In this study, we used an individual-based model to simulate the spread of Huanglongbing (citrus greening), a priority EU pest, and evaluated three delimiting strategies across various host distribution landscapes. We found that an adaptive strategy was most effective, especially when tailored to the polycyclic nature of the pest. This underscored the need for specific delimiting approaches based on the epidemiological characteristics of the target pest.

摘要

在发现检疫性植物有害生物或病害后,通常通过检测有害生物是否存在的调查来紧急进行划定,以确定受侵染区域的边界。在有害生物或病原体进入新区域后,迅速而准确的划定对于控制或根除至关重要。划定的区域过小会使有害生物不受控制地传播,而划定的区域过大则会导致过高经济成本,使根除变得代价高昂。尽管其具有重要意义,但目前缺乏关于划定策略及其在管理植物有害生物方面有效性的全面综述;许多现行做法是临时的,并非基于科学依据。在本研究中,我们使用基于个体的模型来模拟欧盟重点有害生物黄龙病(柑橘黄龙病)的传播,并在各种寄主分布格局下评估了三种划定策略。我们发现适应性策略最为有效,尤其是针对该有害生物的多循环特性进行调整时。这凸显了基于目标有害生物流行病学特征制定特定划定方法的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4200/11829978/74d7853bd54e/41598_2025_90343_Fig1_HTML.jpg

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