Using the Multidimensional AIMES to Estimate Connection-to-Nature in an Australian Population: A Latent Class Approach to Segmentation.

Individuals can interact and develop multiple connections to nature (CN) which have different meanings and reflect different beliefs, emotions, and values. Human population are not homogenous groups and often generalised approaches are not effective in increasing connectedness to nature. Instead, target-group specific approaches focusing on different segments of the population can offer a promising approach for engaging the public in pro-environmental behaviours. This research employed latent class analysis to identify subgroups of individuals in a large, representative sample (n = 3090) of an Australian region. Three groups were identified using the AIMES measure of CN with its focus on five types of connection to nature. The high CN group comprised about one-third (35.4%) of participants while the group with the lowest profile of scores contained around a fifth (18.6%) of participants. The majority (46.0%) of participants registered CN levels between the high and low groups. These classes were then regressed on predictor variables to further understand differences between the groups. The largest, consistent predictors of class membership were biocentric and social-altruistic value orientations, stronger intentions to perform pro-environmental behaviours in public (e.g., travel on public transport), the amount of time spent in nature, and the age of participants.

Reducing Peak Energy Demand among Residents Who Are Not Billed for Their Electricity Consumption: Experimental Evaluation of Behaviour Change Interventions in a University Setting.

Behaviour change interventions aiming to reduce household energy consumption are regarded as an effective means to address disparities between demand and supply and reduce emissions. Less recognised is their success in shifting consumers' energy consumption from peak demand periods to off-peak times of the day. This study reports two experiments that test the effect of feedback and reminder notifications on energy consumption in university halls-of-residence. A quasi-experiment and a randomised controlled experiment were conducted with residential students to evaluate behaviour change interventions aimed at reducing daily peak and critical peak demand, respectively. The results of Experiment One (n = 143) demonstrated significant reductions in the energy use of the treatment group relative to the control. On average, the treatment group's energy use was 12.4 per cent lower than their pre-intervention baseline. In Experiment Two (n = 88), normative elements of the intervention were supplemented with a reminder notification prior to the onset of the simulated critical peak demand period. The results showed that, relative to the control condition, the 8-h notification reduced demand by 20% on average with a 12% decrease for the 24-h notification (with 2-h follow-up). These results indicate that peak energy issues can be alleviated using low-cost and easily implemented behaviour change strategies.

The construct validity of the multidimensional AIMES connection to nature scale: Measuring human relationships with nature.

Over the last decades, a plethora of nature connectedness measures have been developed, including unidimensional scales and others claiming to be multidimensional scales. Recently, Ives et al. (2018) conceptualised connection with nature as five general categories including attachment, cognition/identity, materialistic consumption, experiential components, and spiritual connection to nature. The current research presents a theory-driven approach to scale construction capturing the five factors similar to those described by Ives et al. (2018); the AIMES scale. The scale was developed in cooperation with practitioners and academics working in the field of human-nature interactions and its construct validity was tested with a representative sample of 3090 Victorians. Confirmatory factor analysis reinforced the five-factor model, showing that all factors correlated but were statistically distinct from one another. The second-order factor model also provided support for connection with nature as an overarching variable that can find expression to various degrees in the five primary factors. Finally, we found associations between the AIMES-factors and conceptually related measures of environmental values, environmental behaviours, environmental awareness, and time spent in nature. A short version of the scale is also presented for use in evaluation where brevity is required without compromising reliability and validity.

A level-of-analysis issue in resource consumption and environmental behavior research: A theoretical and empirical contradiction.

Behavioral theories have much to offer researchers and policy makers who seek sustainable resource management within households. However, much research on household resource consumption applies theories of the individual to understand the behavioral patterns of what are very often groups of people cohabiting in a particular dwelling. This misalignment of levels of analysis leads to erroneous empirical results and conclusions, and thereby less effective policy and management actions. We address this issue by first detailing the nature of the problem; illustrating its pervasiveness in research on resource consumption behaviors; offering some ways forward by drawing on research on group dynamics; and exploring new ways of thinking about some existing concepts in resource consumption and conservation with the goal of developing insights from a household-level perspective. We suggest that researchers seek a multi-level understanding of consumption and conservation in future research, as this could lead to theories and evidence to support group-level interventions that target behaviors in a household setting, which is likely to be more effective than existing individualistic approaches.

Using social-network research to improve outcomes in natural resource management.

The conservation and management of natural resources operates in social-ecological systems in which resource users are embedded in social and environmental contexts that influence their management decisions. Characterizing social networks of resource users can be used to inform understanding of social influences on decision making, and social network analysis (SNA) has emerged as a useful technique to explore these relationships. We synthesized how SNA has been used in 85 studies of natural resource management. We considered how social networks and social processes (e.g., interactions between individuals) influence each other and in turn influence social outcomes (e.g., decisions or actions) that affect environmental outcomes (e.g., improved condition). Descriptive methods were used in 58% of the studies to characterize social processes, and 42% of the studies compared multiple networks or multiple points in time to assess social or environmental outcomes. In 4 studies, authors assessed network interventions intended to affect social processes or environmental outcomes. The heterogeneity in case studies, methods, and analyses preclude general lessons. Thus, to structure and further learning about the role of social networks in achieving environmental outcomes, we created a typology that deconstructs social processes, social outcomes, and environmental outcomes into themes and options of social and ecological measures within each. We suggest shifts in research foci toward intervention studies to aid in understanding causality and inform the design of conservation initiatives. There is a need to develop clearer justification and guidance around the proliferation of network measures. The use of SNA in natural resource management is expanding rapidly; thus, now is the time for the conservation community to build a more rigorous evidence base to demonstrate the extent to which social networks can play a role in achieving desired social and environmental outcomes.

Understanding the biosecurity monitoring and reporting intentions of livestock producers: Identifying opportunities for behaviour change.

In many countries, government strategies for biosecurity planning and outbreaks depend upon private livestock producers being willing and able to conduct surveillance of their animals and the timely reporting of suspicious signs of disease. From a behavioural perspective, these two kinds of behaviours - surveillance and reporting - should be treated separately when developing a biosecurity plan in which producers play a key role in the prevention, detection, and reporting of animal diseases. Having an effective surveillance system in place is conceptually and practically independent of a reporting system that is both feasible and trustworthy. The behavioural intentions of 200 Australian producers to monitor their livestock and report to either the government or a private vet were measured in a structured telephone interview. Structural equation modelling revealed that these intentions had different statistical relationships with a common set of predictor variables. Moreover, classification of the producers based on belief about monitoring and surveillance resulted in three contrasting groups. These results are discussed in terms of their meaning for the development of behavioural strategies to promote surveillance and monitoring of animal disease.

Some difficulties and inconsistencies when using habit strength and reasoned action variables in models of metered household water conservation.

Research employing household water consumption data has sought to test models of water demand and conservation using variables from attitude theory. A significant, albeit unrecognised, challenge has been that attitude models describe individual-level motivations while consumption data is recorded at the household level thereby creating inconsistency between units of theory and measurement. This study employs structural equation modelling and moderated regression techniques to addresses the level of analysis problem, and tests hypotheses by isolating effects on water conservation in single-person households. Furthermore, the results question the explanatory utility of habit strength, perceived behavioural control, and intentions for understanding metered water conservation in single-person households. For example, evidence that intentions predict water conservation or that they interact with habit strength in single-person households was contrary to theoretical expectations. On the other hand, habit strength, self-reports of past water conservation, and perceived behavioural control were good predictors of intentions to conserve water.

A comparative analysis of predictors of sense of place dimensions: attachment to, dependence on, and identification with lakeshore properties.

Sense of place can be conceived as a multidimensional construct representing beliefs, emotions and behavioural commitments concerning a particular geographic setting. This view, grounded in attitude theory, can better reveal complex relationships between the experience of a place and attributes of that place than approaches that do not differentiate cognitive, affective and conative domains. Shoreline property owners (N=290) in northern Wisconsin were surveyed about their sense of place for their lakeshore properties. A predictive model comprising owners' age, length of ownership, participation in recreational activities, days spent on the property, extent of property development, and perceptions of environmental features, was employed to explain the variation in dimensions of sense of place. In general, the results supported a multidimensional approach to sense of place in a context where there were moderate to high correlations among the three place dimensions. Perceptions of environmental features were the biggest predictors of place dimensions, with owners' perceptions of lake importance varying in explanatory power across place dimensions.