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The biodiversity information used in the SBV v4 analysis included:<\/SPAN><\/P> - species habitat distribution models<\/SPAN><\/P> - models of uncertainty of the likelihood of modelled habitat (and, for fauna, habitat importance models) for VROTS<\/SPAN><\/P> - models of vegetation types in Victoria<\/SPAN><\/P> - a model of native vegetation condition.<\/SPAN><\/P> The analysis first looked for locations with the least biodiversity value and then identified the location with the next lowest level of biodiversity value. This<\/SPAN><\/P> process continued until there was a complete ranking of locations across the state. The biodiversity value that informed the ranking was based on the<\/SPAN><\/P> modelled range and likelihood of species habitat or vegetation type in a location, compared to pre-settlement levels.<\/SPAN><\/P> This iterative, bottom-up approach is used so that the analysis considers the connectedness and aggregation of habitat at the same time as the<\/SPAN><\/P> representation of values.<\/SPAN><\/P> This analysis results in the areas with little biodiversity value ranked lower, the most degraded and poorly located examples of the most common habitat or<\/SPAN><\/P> vegetation in the middle of the ranking, and the best and most well-connected examples of VROT species' habitats across the state ranked higher. This<\/SPAN><\/P> means that some locations with low condition vegetation can be more highly ranked because they provide links for habitats, or are the only remaining habitat<\/SPAN><\/P> for certain species.<\/SPAN><\/P> For some species, significant areas of likely habitat may not be occupied, either due to insufficient recovery time since a disturbance event or due to<\/SPAN><\/P> catastrophic historic impact that is beyond normal recovery capability. These factors are not yet included in Habitat Importance Models nor in the current<\/SPAN><\/P> SBV map.<\/SPAN><\/P> <\/P><\/DIV><\/DIV>",
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