Login | DPI Staff queries on depositing or searching to era.daf.qld.gov.au

Plant Pest Impact Metric System (PPIMS): Framework and guidelines for a common set of metrics to classify and prioritise plant pests

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Ireland, K. B., van Klinken, R., Cook, D. C., Logan, D., Jamieson, L., Tyson, J. L., Hulme, P. E., Christopher, M., Worner, S., Brockerhoff, E. G., Fletcher, J. D., Rodoni, B., Ludowici, V. A., Bulman, L., Teulon, D., Crampton, K. A., Hodda, M. and Paini, D. (2020) Plant Pest Impact Metric System (PPIMS): Framework and guidelines for a common set of metrics to classify and prioritise plant pests. Crop Protection, 128 . p. 105003. ISSN 0261-2194

Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link.

Article Link: https://doi.org/10.1016/j.cropro.2019.105003

Publisher URL: http://www.sciencedirect.com/science/article/pii/S0261219419303497

Abstract

Agricultural stakeholders need a common set of metrics to evaluate plant pest impacts to facilitate transparency and harmonisation of pest management and prioritisation across spatial scales and jurisdictions. We propose a classification system that articulates, defines and classifies the magnitude of impacts (historical, current or potential) of pest species (alien and native) in plant production systems. Metrics were identified and criteria defined through consideration of economic parameters, risk assessment standards and guidance tools, discussions with pest risk assessment practitioners and recent advances in environmental impact classification schemes. Twenty metrics were identified and assigned to one of four key metric types: spatiotemporal, market-driven, primary response and mid-to long-term response. Host crop value, Market access, Feasibility of management and Reversibility were identified as disruptor metrics, likely to influence overall classification by at least twice that of other metrics. Application of the system found it was able to classify well-known pests by importance, capturing changes in impact status as the management programme progressed for one pest, and how it was influenced by the geographic scale of assessment for another. Our work demonstrates the value of integrating plant protection science with invasion biology to derive a comprehensive measure of pest impact in agroecosystems that can be utilised by all plant biosecurity stakeholders.

Item Type:Article
Business groups:Crop and Food Science
Keywords:Alien invasive species Biosecurity Crop loss assessment Exotic species Pathogen Prioritisation
Subjects:Science > Invasive Species > Modelling
Agriculture > Agriculture (General) > Farm economics. Farm management. Agricultural mathematics
Plant pests and diseases > Economic entomology
Plant pests and diseases > Pest control and treatment of diseases. Plant protection
Live Archive:01 Jun 2020 03:10
Last Modified:03 Sep 2021 16:45

Repository Staff Only: item control page