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.

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.

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.

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.

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.

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.

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.

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.