Personal communications from people with experience with the agent/host Medium species under assessment, Information from general reference books Data that relates to indirect tolerance ranges (n.b. this includes laboratory testing, in situ environmental ranges) Internet information that cites sources from the category, or ‘Medium’ Internet information from government or university websites (e.g. Australian state governments, or the USDA) Anecdotal data from non-experts, Low Internet information that cites anecdotal non-expert sources, Internet information from uncertain/uncited sources, Unpublished reports from uncertain sources, General web pages. Literature and data obtained from similar agent/host species (e.g. the same family or genus). There is a risk that increasing the acceptable level of confidence in the quality of the data will reduce the quality of a prediction by reducing representativeness. Sensitivity analysis is needed to determine the influence of poor quality data. Effort can then be directed to verifying influential, poor quality data. Insufficient data If is insufficient data on a particular disease agent or its potential hosts to model the potential range, then the cost-sharing model defaults to a population basis, i.e. the percentage contributed by each state and the Northern Territory is determined based on the population, where the combined percentages for each state and Northern Territory is equal to 100. Preferred datasets The most recently available Australian Bureau of Statistics parameters will be used to estimate the length of coastline. They are published in the 1301.0 Year Book Australia, Geography of Australia section (or the superseding document) (www.abs.gov.au). The New South Wales coastline will not include the Jervis Bay territory. Temperature tolerance data should be obtained from a literature review process using both high and low confidence data. The most appropriate sources of data will be used to determine sea temperatures, bearing in mind that sea surface temperatures change seasonally, are influenced by local weather and that differences occur with changing depth. Additional data sets that may be used as secondary data are: ABARES Heritage features, such protected sites, World Heritage Areas and the national estate. (e) Due to the scale of the input data, the analysis should be made at the native resolution level and presented as a 10 km x 10 km grid. Modelling software for determining the potential distribution of hosts of marine diseases None available at present. Cases will need to be evaluated as they occur.
Personal communications from people with experience with the agent/host species under assessment, Information from general reference books Data that relates to indirect tolerance ranges (n.b. this includes laboratory testing, in situ environmental ranges) Internet information that cites sources from the ‘Medium’ category, or Internet information from government or university websites (e.g. Australian state governments, or the USDA) Medium Anecdotal data from non-experts, Internet information that cites anecdotal non-expert sources, Internet information from uncertain/uncited sources, Unpublished reports from uncertain sources, General web pages. Literature and data obtained from similar agent/host species (e.g. the same family or genus). Low There is a risk that increasing the acceptable level of confidence in the quality of the data will reduce the quality of a prediction by reducing representativeness. Sensitivity analysis is needed to determine the influence of poor quality data. Effort can then be directed to verifying influential, poor quality data. Insufficient data If is insufficient data on a particular disease agent or its potential hosts to model the potential range, then the cost-sharing model defaults to a population basis, i.e. the percentage contributed by each state and the Northern Territory is determined based on the population, where the combined percentages for each state and Northern Territory is equal to 100. Preferred datasets The most recently available Australian Bureau of Statistics parameters will be used to estimate the length of coastline. They are published in the 1301.0 Year Book Australia, Geography of Australia section (or the superseding document) (www.abs.gov.au). The New South Wales coastline will not include the Jervis Bay territory. Temperature tolerance data should be obtained from a literature review process using both high and low confidence data. The most appropriate sources of data will be used to determine sea temperatures, bearing in mind that sea surface temperatures change seasonally, are influenced by local weather and that differences occur with changing depth. Additional data sets that may be used as secondary data are: ABARES Heritage features, such protected sites, World Heritage Areas and the national estate. (e) Due to the scale of the input data, the analysis should be made at the native resolution level and presented as a 10 km x 10 km grid. Modelling software for determining the potential distribution of hosts of marine diseases None available at present. Cases will need to be evaluated as they occur.
National-Environmental-Biosecurity-Response-Nov-2012.docx