Choosing to have children or choosing to be childfree: Australian students' attitudes towards the decisions of heterosexual and lesbian women

Research has demonstrated that voluntarily childless heterosexual women, and lesbian women choosing to become mothers, are negatively stereotyped. However, there is little recent Australian research, and attitudes may have changed in line with changing family formation patterns. This study assessed young Australians' attitudes towards either a lesbian or a heterosexual woman who was planning, or not planning, to have children. One hundred and nineteen first year psychology students, and members of the general public, participated. The majority of participants were under 20, female, European Australian and single. Participants read a brief description of a woman who was variously described as having a male or a female partner, and as planning or not planning to have children. As expected, participants rated the heterosexual woman more favourably than the lesbian, and the woman wanting children more positively than the woman not wanting children. However, there was a trend for the lesbian woman planning to have children to be rated as happier, more mature and more individualistic than others. The legal and social implications associated with wanting to be a lesbian mother in Australia make motherhood a more difficult process for lesbian women than it does for heterosexual women, and may explain why lesbian women who have decided to take this difficult path are seen as happier and more mature, than women making more conventional life choices. While the predominantly young, female student sample limits the generality of the findings, they suggest that social attitudes towards female sexual orientation and women's childbirth decisions are changing.

Costs and decisions in population management: Koalas on Kangaroo Island

Many populations have a negative impact on their habitat, or upon other species in the environment, if their numbers become too large. For this reason they are often managed using some form of control. The objective is to keep numbers at a sustainable level, while ensuring survival of the population.+Here we present models that allow population management programs to be assessed. Two common control regimes will be considered: reduction and suppression. Under the suppression regime the previous population is maintained close to a particular threshold through near continuous control, while under the reduction regime, control begins once the previous population reaches a certain threshold and continues until it falls below a lower pre-defined level. We discuss how to best choose the control parameters, and we provide tools that allow population managers to select reduction levels and control rates. Additional tools will be provided to assess the effect of different control regimes, in terms of population persistence and cost.In particular we consider the effects of each regime on the probability of extinction and the expected time to extinction, and compare the control methods in terms of the expected total cost of each regime over the life of the population. The usefulness of our results will be illustrated with reference to the control of a koala population inhabiting Kangaroo Island, Australia.

Impact of weather dependency on planning decisions in the australian national electricity market

A long-term planning method for the electricity market is to simulate market operation into the future. Outputs from market simulation include indicators for transmission augmentation and new generation investment. A key input to market simulations is demand forecasts. For market simulation purposes, regional demand forecasts for each half-hour interval of the forecasting horizon are required, and they must accurately represent realistic demand profiles and interregional demand relationships. In this paper, a demand model is developed to accurately model these relationships. The effects of uncertainty in weather patterns and inherent correlations between regional demands on market simulation results are presented. This work signifies the advantages of probabilistic modeling of demand levels when making market-based planning decisions.