Economics, wildlife tourism and conservation: Three case studies

This report presents the results of an economics component of the National Interdisciplinary Project (NIP) on wildlife tourism in Australia. The main objectives of the study were to outline and assess the role that economics can play in the valuation and management of wildlife-based tourism, undertake appropriate case studies to highlight the value of economics and its limits in assessing wildlife tourism in each case, take into account relevant environmental issues involved in wildlife tourism, and make future recommendations.

Economics, Wildlife Tourism and Conservation: Three Case Studies

This report presents the results of an economics component of the National Interdisciplinary Project (NIP) on wildlife tourism in Australia. The main objectives of the study were to outline and assess the role that economics can play in the valuation and management of wildlife-based tourism, undertake appropriate case studies to highlight the value of economics and its limits in assessing wildlife tourism in each case, take into account relevant environmental issues involved in wildlife tourism, and make future recommendations.

Aspects of adaptive management of coastal wetlands: Case studies of processes, conservation, restoration, impacts and assessment

Coastal wetlands are dynamic and include the freshwater-intertidal interface. In many parts of the world such wetlands are under pressure from increasing human populations and from predicted sea-level rise. Their complexity and the limited knowledge of processes operating in these systems combine to make them a management challenge.Adaptive management is advocated for complex ecosystem management (Hackney 2000; Meretsky et al. 2000; Thom 2000;National Research Council 2003).Adaptive management identifies management aims,makes an inventory/environmental assessment,plans management actions, implements these, assesses outcomes, and provides feedback to iterate the process (Holling 1978;Walters and Holling 1990). This allows for a dynamic management system that is responsive to change. In the area of wetland management recent adaptive approaches are exemplified by Natuhara et al. (2004) for wild bird management, Bunch and Dudycha (2004) for a river system, Thom (2000) for restoration, and Quinn and Hanna (2003) for seasonal wetlands in California. There are many wetland habitats for which we currently have only rudimentary knowledge (Hackney 2000), emphasizing the need for good information as a prerequisite for effective management. The management framework must also provide a way to incorporate the best available science into management decisions and to use management outcomes as opportunities to improve scientific understanding and provide feedback to the decision system. Figure 9.1 shows a model developed by Anorov (2004) based on the process-response model of Maltby et al. (1994) that forms a framework for the science that underlies an adaptive management system in the wetland context.

Graduate entry to medical studies: thoughts from 'down under' (editorial)

This invited editorial, reflecting on expectations of changing to graduate entry, eg enhanced maturity in the student cohort with greater self-sufficiency and taking of responsibility for learning in the context of adoption of a problem-based learning model, examines experiences of early post-change years and raises questions for contemplation by medical schools considering graduate entry.

Investigating information requirements for evaluating effectiveness of marine protected areas - Indonesian case studies

Identifying the information needs of managers and other stakeholders is an important first step in designing an evaluation of management effectiveness for marine protected areas (MPAs) that will be relevant to local circumstances and useful for improving management practices. Information requirements for evaluating effectiveness were investigated at two MPAs in Indonesia. Results show that, despite similar management objectives, information needs for evaluation differ between sites and those differences reflect the unique context within which management operates in each case. The scope of information needs at each site covers a broad range of issues including context, planning, resources, processes, outputs, and outcomes. Relevant components of a variety of different evaluation tools will need to be used to satisfy information needs at these sites. Evaluation tools that are based primarily on stated management objectives or the expressed views of a few key stakeholders are unlikely to be very useful for improving management in these cases.

An Incremental EM-based Learning Approach for On-Line Prediction of Hospital Resource Utilization

Objective: Inpatient length of stay (LOS) is an important measure of hospital activity, health care resource consumption, and patient acuity. This research work aims at developing an incremental expectation maximization (EM) based learning approach on mixture of experts (ME) system for on-line prediction of LOS. The use of a batchmode learning process in most existing artificial neural networks to predict LOS is unrealistic, as the data become available over time and their pattern change dynamically. In contrast, an on-line process is capable of providing an output whenever a new datum becomes available. This on-the-spot information is therefore more useful and practical for making decisions, especially when one deals with a tremendous amount of data. Methods and material: The proposed approach is illustrated using a real example of gastroenteritis LOS data. The data set was extracted from a retrospective cohort study on all infants born in 1995-1997 and their subsequent admissions for gastroenteritis. The total number of admissions in this data set was n = 692. Linked hospitalization records of the cohort were retrieved retrospectively to derive the outcome measure, patient demographics, and associated co-morbidities information. A comparative study of the incremental learning and the batch-mode learning algorithms is considered. The performances of the learning algorithms are compared based on the mean absolute difference (MAD) between the predictions and the actual LOS, and the proportion of predictions with MAD < 1 day (Prop(MAD < 1)). The significance of the comparison is assessed through a regression analysis. Results: The incremental learning algorithm provides better on-line prediction of LOS when the system has gained sufficient training from more examples (MAD = 1.77 days and Prop(MAD < 1) = 54.3%), compared to that using the batch-mode learning. The regression analysis indicates a significant decrease of MAD (p-value = 0.063) and a significant (p-value = 0.044) increase of Prop(MAD

Approaches to training practitioners in the art and science of plant disease diagnosis

Allowing plant pathology students to tackle fictitious or real crop problems during the course of their formal training not only teaches them the diagnostic process, but also provides for a better understanding of disease etiology. Such a problem-solving approach can also engage, motivate, and enthuse students about plant pathologgy in general. This paper presents examples of three problem-based approaches to diagnostic training utilizing freely available software. The first provides an adventure-game simulation where Students are asked to provide a diagnosis and recommendation after exploring a hypothetical scenario or case. Guidance is given oil how to create these scenarios. The second approach involves students creating their own scenarios. The third uses a diagnostic template combined with reporting software to both guide and capture students' results and reflections during a real diagnostic assignment.

Collaborative decision-making processes for maintaining biodiversity: Two Australian case studies

There have been many models developed by scientists to assist decision-makers in making socio-economic and environmental decisions. It is now recognised that there is a shift in the dominant paradigm to making decisions with stakeholders, rather than making decisions for stakeholders. Our paper investigates two case studies where group model building has been undertaken for maintaining biodiversity in Australia. The first case study focuses on preservation and management of green spaces and biodiversity in metropolitan Melbourne under the umbrella of the Melbourne 2030 planning strategy. A geographical information system is used to collate a number of spatial datasets encompassing a range of cultural and natural assets data layers including: existing open spaces, waterways, threatened fauna and flora, ecological vegetation covers, registered cultural heritage sites, and existing land parcel zoning. Group model building is incorporated into the study through eliciting weightings and ratings of importance for each datasets from urban planners to formulate different urban green system scenarios. The second case study focuses on modelling ecoregions from spatial datasets for the state of Queensland. The modelling combines collaborative expert knowledge and a vast amount of environmental data to build biogeographical classifications of regions. An information elicitation process is used to capture expert knowledge of ecoregions as geographical descriptions, and to transform this into prior probability distributions that characterise regions in terms of environmental variables. This prior information is combined with measured data on the environmental variables within a Bayesian modelling technique to produce the final classified regions. We describe how linked views between descriptive information, mapping and statistical plots are used to decide upon representative regions that satisfy a number of criteria for biodiversity and conservation. This paper discusses the advantages and problems encountered when undertaking group model building. Future research will extend the group model building approach to include interested individuals and community groups.

A community leadership web site project: Sustainability and other issues

This paper reports on an ongoing partnership between Queensland University of Technology and Volunteering Queensland regarding the development and revision of a website for community leaders. The website, designed in late 2003, was established to provide a range of learning activities for community leaders including a problem based learning activity, case studies of community leaders and a range of resources deemed significant for leaders in the community. To date, anecdotal evidence as well as some more hard evidence (i.e. number of visits to the site), indicates that the site appears to be a valuable resource for community leaders. The purpose of this paper was firstly to investigate the utility of the site and secondly to consider some bigger issues concerning its sustainability. To achieve this, the paper explores the perceptions of (i) a group of community leaders regarding the strengths and weaknesses of the site; and (ii) key stakeholders (from QUT and Volunteering Queensland) who participated in a focus group discussion to consider important issues relating to its management and sustainability. Themes emerging from the two groups are provided and implications for small scale partnership projects such as this one are discussed.

Proceedings Ninth Asia-Pacific Software Engineering Conference. ASPEC 2002

The following topics are dealt with: Requirements engineering; components; design; formal specification analysis; education; model checking; human computer interaction; software design and architecture; formal methods and components; software maintenance; software process; formal methods and design; server-based applications; review and testing; measurement; documentation; management and knowledge-based approaches.