Validating a rapid algorithmic weed hazard ranking method
The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>CPG</mml:mi></mml:mrow> </mml:math> model offers a transparent, scalable and cost-effective tool for early-stage weed hazard screening. It delivers substantial time savings over attribute-based WRAs while maintaining alignment with expert evaluations. The model enables rapid triage of large species lists, including actual or potentially introduced taxa under current and future climates, supporting prioritisation for detailed risk or management feasibility assessments. Its automation and reproducibility make it a valuable tool for global biosecurity and invasive species management. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Authors
- Alasdair Noble (ORCID: https://orcid.org/0000-0003-2292-8216)
- C.B. Phillips (ORCID: https://orcid.org/0000-0003-2352-3544)
- Murray I. Dawson
- Christopher E. Buddenhagen (ORCID: https://orcid.org/0000-0002-3016-1054)
- Graeme W. Bourdôt (ORCID: https://orcid.org/0000-0002-6361-8647)
- Shona L. Lamoureaux (ORCID: https://orcid.org/0000-0001-9760-9792)
Institutions
- AgResearch (NZ)
- Lincoln Agritech (New Zealand) (NZ)
- Manaaki Whenua – Landcare Research (NZ)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1002/ps.70201
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AgResearch
- Ministry of Business, Innovation and Employment
- Serono Symposia International Foundation