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BiOR2: when pest risk assessment meets computer-based multicriteria analysis for plant pest ranking and management

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Abstract

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.

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Acknowledgements

This study was funded by the French Ministry of Agriculture. We thank Hervé Jactel (INRA, Bordeaux) for fruitful discussions on the construction of the process as well as Martin LEDUC.

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Author notes

  1. Christine Tayeh and David Guinehut are co-first authors, they contributed equally to this work.

Authors and Affiliations

  1. Expertise and Biological Risks Unit (ERB), Plant Health Laboratory, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Angers, France

    Christine Tayeh, David Guinehut, Amandine Lê Van, Xavier Deguercy, Xavier Tassus, Emmanuel Gachet & Charles Manceau

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  1. Christine Tayeh
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  2. David Guinehut
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Correspondence to Christine Tayeh.

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Tayeh, C., Guinehut, D., Lê Van, A. et al. BiOR2: when pest risk assessment meets computer-based multicriteria analysis for plant pest ranking and management. Biol Invasions 23, 919–934 (2021). https://doi.org/10.1007/s10530-020-02411-5

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  • DOI: https://doi.org/10.1007/s10530-020-02411-5

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