PRIORITISING INVASIVE SPECIES IN AUSTRALIA

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You must submit at least one answer to be able to compare rankings.


Instructions


Once you finished submitting your responses for each species by visiting tabs:


  • Monetised damages
  • Non-monetised damages
  • Eradication measures' utility

  • proceed to 'Ranking' to explore alternative prioritisations.


    Download all responses as a csv file:

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    Select types of agricultural production at risk from and state your beliefs about possible proportional damage to each of the industries, in the areas of overlap with the pest :



    On a national scale, the annual damage from this pest is in millions of Australian dollars.



    Localised social impacts, consider the following:

  • Community Stability (includes employment/displacement effects)
  • To access environmental damage consider impacts on:

  • Biodiversity
  • Protected native species
  • Habitats
  • Amenity, consider the following:

  • Spiritual Values
  • Aesthetics (landscapes, views, waterways)
  • Recreational, leisure, cultural activities
  • Personal loss of freedom, impacts on mobility, choices, usually from management actions
  • Fear and worry, perceptions of risk, not necessarily supported by evidence

  • Eradication measures' utility is a combination of effectiveness of measures and a chance of successful implementation. Uncertainty in both is considered.


    Probability distributions are combined using the 'Matrix Method', described in Holt et al. 2013 .

    Rate the potential for successful eradication assuming full implementation of measures bearing in mind biological and ecological behaviour of the pest.

    Rate the chances of the full implementation of eradication measures bearing in mind technical, economic, labour constraints, etc.



    Eradication measures' utility:


    Prioritising species

    The species are ranked by adding normalised values for selected aspects, using specified weights.

    Select aspects to include:

    Preferences on a scale from 1 (low) to 5 (high):


    Ranking using default values:

    Ranking using elicited values: