Though shaped by past elements, history demonstrates that future landscapes will be very different from those of the present. This is particularly so in coastal areas of rapid urban growth. The effects of climate change in the future will therefore be impacting on these quite different landscapes, not on those we see today. To gauge the severity of these impacts we must understand the future settlement patterns likely to emerge. This project examines the past and present drivers of landscape change in the Northern Rivers region of north-eastern New South Wales, and then models several scenarios for the future, based on land use planning decisions that might be taken. For example, the two extremes are a scenario of 'deregulated' growth, and one which takes a high degree of precaution, a 'high climate adapted' scenario. The effects of these 'alternative futures' can be visualised, and the area of land, and number of people affected by climate change impacts, quantified. The approach enables important elements of the landscape to be integrated. Also, by enabling alternative futures to be visualised, the method may also be used to engage the community to have a say in their preferred pathway.

Although there is evidence that passive surveillance services provided by the public can be very valuable (in terms of both reduced program costs and increased probability of success in managing pests) little is known about the return on investment for this type of expenditure.

Enabling passive surveillance requires community information campaigns and incentive schemes. This takes funds away from other activities, so it is important to estimate the value of these campaigns relative to other alternatives, such as increasing active (structured) surveillance.

This project contributes towards an understanding of the value of passive surveillance provided by members of the community using a case study: the red imported fire ant (RIFA) eradication program in Brisbane. The RIFA program, managed by Biosecurity Queensland Control Centre (BQCC), is well documented. BQCC has an intense public awareness program with multiple activities, including broad and targeted coverage of distinct community groups and zones within the Brisbane area. We have combined data on community engagement events, reports from the public and nest detections recorded by BQCC, with census data to estimate relationships between demographic characteristics of an area and the likelihood that residents from that area will report encounters with RIFA.

In this report we present background information and hypotheses regarding the role of community surveillance in the management of biological invasions. This is followed by details of the datasets used and results of a number of analyses. We show the importance of the data clean-up process and identify the limitations that arise when a database designed primarily to track public reports is used for spatio-temporal analyses where accurate dating of events is important.

We also estimate the return on investment in community engagement in terms of the savings in structured-search costs it brings. This estimate uses probability maps to calculate the amount of active search that would have been required to detect all the known ant colonies in the period 2006-2010 if passive surveillance would not have been available. Assuming active search costs $400/ha we obtain a value of $52 million return per $1 million invested in community engagement.