Globalisation of trade in plants is a high-risk pathway that initiated many plant pest invasions. Models for ranking invasive pests are thus important to risk managers since they help them quickly adapt management strategies. Therefore, the Biological Organisms data Retrieval and Ranking system (BiOR²) process was developed and enabled high-throughput data acquisition connected to a risk assessment model. Its main characteristics are being objective, generic and based on sound science, namely pest risk analysis and multicriteria decision aid. The probability of entry, establishment and spread as well as the likely economic and environmental impacts were estimated separately through 24 independent criteria for which score calculation was precisely described. Moreover, data storing and processing in BiOR² enable its further use for answering several risk-related questions. The behaviour of BiOR² was explored regarding sensitivity as well as other features such as the ‘fit for purpose’ approach through an adaptable weighting system. The management of missing data and the expression of uncertainty in BiOR² were also described. Moreover, BiOR² was compared to previous models and expert statements in order to evaluate the modifications and deviations it generates with respect to these approaches respectively. The contribution to policy recommendations such as pest prioritisation was also investigated. In 2016, 278 pests have been assessed with BiOR² for France and 110 pests for French Overseas Departments, which highlights its applicability to several geographic areas. Lastly, the fulfilment of suggested good practices by BiOR² in the field of prioritisation studies was also verified.

植物贸易的全球化是引发许多植物有害生物入侵的高风险途径。因此，对侵入性有害生物进行分类的模型对风险管理者很重要，因为它们可以帮助他们快速适应管理策略。因此，开发了生物有机体数据检索和排名系统（BiOR ²）流程，并启用了与风险评估模型相关的高通量数据获取。它的主要特征是客观，通用并基于可靠的科学，即有害生物风险分析和多标准决策辅助。进入，建立和传播的可能性以及可能的经济和环境影响，是通过24个独立的标准分别进行估算的，并针对这些标准精确描述了得分计算。此外，BiOR中的数据存储和处理²使其能够进一步用于回答一些与风险相关的问题。探讨了BiOR ²的行为，涉及灵敏度以及其他功能，例如通过自适应加权系统的“适合目的”方法。还描述了缺失数据的管理和BiOR ²中不确定性的表达。此外，BiOR ²与以前的模型和专家陈述进行了比较，以便分别评估其相对于这些方法所产生的修改和偏差。还研究了对政策建议的贡献，例如害虫优先级。2016年，利用BiOR ²对278种有害生物进行了评估法国的有害生物和法国海外部门的110种有害生物，这突显了它在几个地理区域的适用性。最后，还验证了BiOR ²在优先研究领域中实现的建议良好实践。