Resources

This page features a report and presentation on the PSNAP Residential undertaken by Francesco Martoni.

Download the report and document for the ASW 2024 Shoulder Workshop: AusPestCheck overview and demonstration.

Download the 2024 Annual Surveillance Workshop (ASW) Report

National Surveillance Protocols (NSPs) serve as the first point of reference for developing surveillance plans, and include information on surveillance methodology, pest/pathogen biology, taxonomy, identification and sample processing.

The Annual Surveillance Workshop 2017 was held at the EcoSciences Precinct in Brisbane on the 24-25 May 2017. The theme was establishing a National Plant Biosecurity Surveillance Network and scoping a network website.

Plant health surveillance data protocols describe the required fields and controlled vocabulary to produce a valid pest record for a pest or pest group using the Pest Record Specification. Data protocols are subordinate documents to the National Surveillance Protocols (NSP) and may also be created for pests that are not subject to an NSP.

This project seeks to further develop a decision-support framework that would significantly improve risk management decisions and resource allocation throughout the biosecurity system (from pre-border to pest management) by applying a systematic risk / return approach and evidence based analysis. The project will focus on extending current work on a high-level framework and example case studies e.g. fruit flies and brown marmorated stinkbug, to provide a much more comprehensive tool to populate with data across all major pathways.

This project will produce mechanistic and statistical models to support the management of NPPP incursions. Eradication and containment models will be based on plausible pest establishment and detection scenarios in operational settings. Managing incursions requires that knowledge of pest ecology/epidemiology will work in conjunction with surveillance data to guide the appropriate zoning and implementation of control measures. Models will simulate the spread of incursions from potential establishment locations through natural and human-assisted spread. The capacity for surveillance data to delimit incursions with respect to control technologies will be determined through statistical modelling.

This project sought to develop a general and pragmatic framework for creating defensible maps of pest establishment likelihoods for the purposes of informing post-border surveillance for early detection of pests not currently present in Australia.

In this report, we provide a detailed discussion on an approach which may be used to manage the pathway-level risk of contaminated seed being imported into New Zealand. In any system reliant on sampling to detect contamination, contaminated product may be missed and subsequently imported; this is known as leakage. The proposed approach that we detail provides, at a minimum, an architecture for interrogating the effect of such leakage.