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Food management in tourism: Reducing tourism’s carbon ‘foodprint’

Food production and consumption have a range of sustainability implications, including their contribution to global emissions of greenhouse gases (GHGs). As some foodstuffs entail higher GHG emissions than others, managing their use in tourism-related contexts could make a significant contribution to climate change mitigation. This article reviews the carbon intensity of selected foods and discusses how foodservice providers could adapt their practices. It shows that even though food management could substantially reduce the GHG emissions of foodservice providers, its application is currently hampered by the complexity of food production chains and a lack of dependable data on the GHG intensity of foodstuffs. Nevertheless, it is possible to make a number of recommendations in respect of how foodservice providers can better purchase, prepare and present foods. Further research is now needed to refine and extend our understanding of the contribution that food management can make to reducing tourism’s carbon ‘foodprint’.
- Lund University Sweden
- Breda University of Applied Sciences Netherlands
- Wageningen University & Research Netherlands
- Vestlandsforsking Norway
- Swansea University United Kingdom
Mitigation, consequences, Life Science, Climate change, deforestation, sustainable tourism, consumption, south-west england, Food management, emissions, Sustainable food, footprint, landscape, Greenhouse gases, Emissions, efficiency, Carbon management, ecosystems
Mitigation, consequences, Life Science, Climate change, deforestation, sustainable tourism, consumption, south-west england, Food management, emissions, Sustainable food, footprint, landscape, Greenhouse gases, Emissions, efficiency, Carbon management, ecosystems
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).233 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
