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.

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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

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article

Validating a rapid algorithmic weed hazard ranking method

Alasdair Noble, C.B. Phillips, Murray I. Dawson, Christopher E. Buddenhagen et al.
Pest Management Science
Species Distribution and Climate Change
article

Validating a rapid algorithmic weed hazard ranking method

Alasdair Noble, C.B. Phillips, Murray I. Dawson, Christopher E. Buddenhagen, Graeme W. Bourdôt, Shona L. Lamoureaux
article en

Abstract

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.

Pest Management ScienceVol. 82(1)
AgResearch (NZ), Lincoln Agritech (New Zealand) (NZ), Manaaki Whenua – Landcare Research (NZ)
AgResearch, Ministry of Business, Innovation and Employment, Serono Symposia International Foundation
Openalex Percentile: Top 87%
Species Distribution and Climate Change
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Validating a rapid algorithmic weed hazard ranking method — Alasdair Noble, C.B. Phillips, et al. · Pest Management Science (2025) | TGRS Research Map | TGRS