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Articles

An ecological footprint for an early learning centre: identifying opportunities for early childhood sustainability education through interdisciplinary research

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Pages 689-704 | Received 10 Dec 2009, Accepted 14 Feb 2011, Published online: 06 Jul 2011
 

Abstract

In this study, engineers and educators worked together to adapt and apply the ecological footprint (EF) methodology to an early learning centre in Brisbane, Australia. Results were analysed to determine how environmental impact can be reduced at the study site and more generally across early childhood settings. It was found that food, transport and energy consumption had the largest impact on the centre’s overall footprint. In transport and energy, early childhood centres can reduce their impact through infrastructure and cultural change, in association with changed curriculum strategies. Building design, the type of energy purchased and appliance usage can all be modified to reduce the energy footprint. The transport footprint can be reduced through more families using active and public transport, which can be encouraged by providing information, support and facilities and appropriate siting of new centres. Introducing the concept of ecological footprint in early childhood education may be an effective way to educate children, staff and parents on the links between the food they eat, land usage and environmental impact. This study responds directly to the call in this journal for research focused on early childhood education and for more to be made of interdisciplinary research opportunities.

Acknowledgements

The authors thank staff and parents of the Campus Kindergarten community for their assistance and input into this study. Robert Pratt (former teacher at Campus Kindergarten) initiated the study and assisted in locating data. Dr Lesley Jolly from Strategic Partnerships at University of Queensland provided support in developing ethical clearance submissions. Leigh Burgess from UniGreen, Amanda Binks and Beth Rounsefell from UQ provided assistance in sourcing data.

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