Legislative and regulatory measures for preventing alcohol-related drownings and near-drownings

Objective: Alcohol contributes to about 30% of drowning fatalities associated with recreational aquatic activity and to 35% of drownings associated with boating. We consider regulatory and legislative strategies for preventing such deaths. Methods: We contacted water police in each Australian State and Territory to identify legislation creating alcohol-related offences for operators of recreational boats in their jurisdiction and to determine whether they conducted random breath testing (RBT). We also sought information from all 152 (81 urban and 71 rural) local government councils in NSW regarding restrictions on consumption of alcohol in public places within their shires. Results: Four Australian States (New South Wales, Queensland, Victoria and South Australia) have legislation prescribing maximum blood alcohol concentrations (BACs) for operators of recreational boats; all support this with RBT Western Australia, Tasmania and the Australian Capital Territory define more general offences for operating vessels while under the influence, of alcohol. Prohibitions or restrictions on consumption of alcohol in public places exist in 78 of the 86 shires in NSW that responded: 69 councils had alcohol-free zones, 53 restricted consumption of alcohol in public parks and reserves, and 33 had prohibitions or restrictions in some aquatic environments. Conclusions/implications: Legislation restricting BACs for recreational boat operators should be adopted in all Australian States and Territories. Optimal legislation would require that all occupants of recreational boats are required to comply with prescribed BAC levels, including when vessels are at anchor. Extension of by-laws prohibiting or restricting the consumption of alcohol specifically in aquatic environments warrants consideration.

Should managed populations be monitored every year?

We often need to estimate the size of wild populations to determine the appropriate management action, for example, to set a harvest quota. Monitoring is usually planned under the assumption that it must be carried out at fixed intervals in time, typically annually, before the harvest quota is set. However, monitoring can be very expensive, and we should weigh the cost of monitoring against the improvement that it makes in decision making. A less costly alternative to monitoring annually is to predict the population size using a population model and information from previous surveys. In this paper, the problem of monitoring frequency is posed within a decision-theory framework. We discover that a monitoring regime that varies according to the state of the system call outperform fixed-interval monitoring This idea is illustrated using data for a red kangaroo (Macropits rufus) population in South Australia. Whether or not one should monitor in a given year is dependent on the estimated population density in the previous year, the uncertainty in that population estimate, and past rainfall. We discover that monitoring is-important when a model-based prediction of population density is very uncertain. This may occur if monitoring has not taken place for several years, or if rainfall has been above average. Monitoring is also important when prior information suggests that the population is near a critical threshold in population abundance. However, monitoring is less important when the optimal management action would not be altered by new information.

Understanding Isolation and Change in Island Human Populations through a study of Indigenous Cultural Patterns in the Gulf of Carpentaria

This paper presents a set of hypotheses to explain the cultural differences between Aboriginal people of the North and South Wellesley Islands, Gulf of Carpentaria and to characterise the relative degree and nature of their isolation and cultural change over a 10,000-year time-scale. This opportunity to study parallelisms and divergences in the cultural and demographic histories of fisher-hunter-gatherers arises from the comparison of three distinct cultural groupings: (a) the Ganggalida of the mainland, (b) the Lardil and Yangkaal of the North Wellesley Islands, and (c) the Kaiadilt of the South Wellesley Islands. Despite occupying similar island environments and despite their languages being as closely related as for example, the West Germanic languages, there are some major differences in cultural, economic and social organization as well as striking genetic differences between the North and South Wellesley populations. This paper synthesizes data from linguistics, anthropology, archaeology, genetics and environmental science to present hypotheses of how these intriguing differences were generated, and what we might learn about early processes of marine colonization and cultural change from the Wellesley situation.

Data quality initiatives - striving for continuous improvements

Although managers consider accurate, timely, and relevant information as critical to the quality of their decisions, evidence of large variations in data quality abounds. Over a period of twelve months, the action research project reported herein attempted to investigate and track data quality initiatives undertaken by the participating organisation. The investigation focused on two types of errors: transaction input errors and processing errors. Whenever the action research initiative identified non-trivial errors, the participating organisation introduced actions to correct the errors and prevent similar errors in the future. Data quality metrics were taken quarterly to measure improvements resulting from the activities undertaken during the action research project. The action research project results indicated that for a mission-critical database to ensure and maintain data quality, commitment to continuous data quality improvement is necessary. Also, communication among all stakeholders is required to ensure common understanding of data quality improvement goals. The action research project found that to further substantially improve data quality, structural changes within the organisation and to the information systems are sometimes necessary. The major goal of the action research study is to increase the level of data quality awareness within all organisations and to motivate them to examine the importance of achieving and maintaining high-quality data.