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Department of Agriculture

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  4. Invasive species
  5. The National Priority List of Exotic Environmental Pests, Weeds and Diseases dataset

Secondary ABARES

  • Invasive species
    • Distribution and impacts of established pest animals and weeds
    • Exotic invasive species with environmental impacts
    • Prioritising targets for biological control of weeds
    • The National Priority List of Exotic Environmental Pests, Weeds and Diseases dataset
    • The state of weeds data collection in Australia
    • Wild dog research

The National Priority List of Exotic Environmental Pests, Weeds and Diseases dataset

Overview

The National Priority List of Exotic Environmental Pests, Weeds and Diseases (abbreviated to Exotic Environmental Pest List (EEPL) ) is comprised of 168 species from eight thematic groups of pests, weeds or diseases. The primary purpose of the EEPL is to facilitate activities that help prevent the entry, establishment and spread of exotic pests, weeds and diseases that have the potential for nationally important negative impacts on Australia’s environment and/or social amenity.

The species on the EEPL were assessed on their ability to enter Australia, establish, spread and cause nationally important negative impacts on the environment and social amenity. The EEPL includes a subset of 42 higher risk species that pose the greatest risk to Australia’s environmental biosecurity, comprising 5-6 species from each of the eight thematic groups. The National Priority List of Exotic Environmental Pests, Weeds and Diseases Dataset (Public Summary Version 1.0) was compiled from data collected during the expert elicitation assessment process used to develop the EEPL. It contains overall risk ratings for EEPL species, likelihood categories for entry, establishment and spread, and impact categories for environment and social amenity. Categories are based on aggregated evidence provided by a group of experts for each species.

Download the dataset

National Priority List of Exotic Environmental Pests, Weeds and Diseases Dataset (Public Summary Version 1.0) - Excel [200 KB]

How to cite this research

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Last updated: 09 August 2021

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