Highly motivated Postdoctoral Research Fellows are invited to apply for a position within the ARC Centre of Excellence for Environmental Decisions. There are two positions available. The successful applicants will work on projects in the areas of: multispecies management, restoration ecology, ecosystem services, species and conservation action prioritisation, adaptive management and monitoring, decision-making in socio-ecological systems or other emerging priority areas of research. All projects will involve close liaison with CEED researchers at other nodes of the Centre.
ARC CEED (Centre of Excellence for Environmental Decisions)
The ARC Centre of Excellence for Environmental Decisions (CEED) aims to be the world’s leading research centre for solving environmental management problems and for evaluating the outcomes of environmental actions.
The research conducted by CEED will benefit environmental science, policy and management across Australia and around the world. Individually our key researchers are recognised as global leaders in fundamental environmental science – CEED draws together this expertise to produce a centre of international scale and calibre that will tackle the complex problem of environmental management and monitoring in a rapidly changing and uncertain world.
Among other outcomes, volunteer surveys are useful for evaluating conservation success and determining priorities for management actions. However, biases that can originate from untargeted and weakly structured surveys can undermine the utility of the data gathered. Identifying and rectifying biases and problems with such data require an understanding of the behaviour of volunteers. We explored the characteristics of volunteer behaviour using bird surveys conducted in south-western Australia, and evaluated how volunteer behaviour affects the quantity and quality of data when volunteers are unconstrained in their selection of survey sites. We related the home-range and site-fidelity of 172 volunteers to the availability of habitat and bird species. Habitat selection by volunteers was assessed using avian species-accumulation curves, which identified 12 habitats for which avian species inventories were <95% complete. Volunteer biases resulted in skewed representation of birds in the resulting dataset. We recommend the minimum sampling effort required for reliable species-richness estimates in each habitat, and suggest ways to achieve spatial representativeness by using different behavioural types. Volunteers with high site-fidelity (often locals) produce high species detection rates, and are useful for long-term monitoring or surveying in less-favoured habitats close to urban areas. Roaming volunteers (often tourists) with large home-ranges are useful for threatened species surveying and can fill gaps far from urban areas, but might require incentives to visit unfavoured habitats, given their high habitat and bird selectivity. By studying volunteer behaviour, we can set realistic goals to achieve a comprehensive dataset useful for research, management and conservation planning.
It is good practice to evaluate the returns and effectiveness of investments, whether the investment be on the stock exchange or in managing threats to native flora and fauna. While it’s easy to keep track of the performance of investments on the stock exchange using an indicator such as the Dow Jones index, monitoring the outcomes of management actions for conservation is not so straightforward.
Selecting an appropriate indicator for evaluating the success of conservation management for a suite of species or whole biological system can be a considerable challenge. Despite the widespread use of indicators in conservation and natural resource management, their selection is often based on methodology that fails to consider the relative costs, benefits and uncertainty associated with each candidate indicator.