Identity barriers to engaging in proenvironmental behaviour

Previous research has shown that engaging in proenvironmental behaviours can have a stygmatising effect for those who take part in those activities. This suggests that the identity consequences of proenvironmental behaviours may act as a barrier to engaging in these types of actions. This idea was investigated in a study assessing whether university students’ preferences for status-related or proenvironmental actions was influenced by prevailing group norms. Participants in the control condition and the status norm condition were equally willing to selfpresent as high status and pro-environment, however, participants in the environmental norm condition were more willing to self-present as pro-environment than status concerned. These results suggest that willingness to engage in pro-environmental behaviours may be higher in contexts where the identity consequences of these actions are positive. Preliminary results from a second study investigating identity consequences of pro-environmental behaviour will also be presented. Implications of the findings for strategies or campaigns aimed at increasing environmentally sustainable behaviour will be discussed.

Using multivariate analysis to predict the behaviour of soils under effluent irrigation

Onsite wastewater treatment systems aim to assimilate domestic effluent into the environment. Unfortunately failure of such systems is common and inadequate effluent treatment can have serious environmental implications. The capacity of a particular soil to treat wastewater will change over time. The physical properties influence the rate of effluent movement through the soil and its chemical properties dictate the ability to renovate effluent. A research project was undertaken to determine the role that physical and chemical soil properties play in predicting the long-term behaviour of soil under effluent irrigation and to determine if they have a potential function as early indicators of adverse effects of effluent irrigation on treatment sustainability. Principal Component Analysis (PCA) and Cluster Analysis grouped the soils independently of their soil classifications and allowed us to distinguish the most suitable soils for sustainable long term effluent irrigation and determine the most influential soil parameters to characterise them. Multivariate analysis allowed a clear distinction between soils based on the cation exchange capacities. This in turn correlated well with the soil mineralogy. Mixed mineralogy soils in particular sodium or magnesium dominant soils are the most susceptible to dispersion under effluent irrigation. The soil Exchangeable Sodium Percentage (ESP) was identified as a crucial parameter and was highly correlated with percentage clay, electrical conductivity, exchangeable sodium, exchangeable magnesium and low Ca:Mg ratios (less than 0.5).