SHARP-Indicators Database towards a public database for environmental sustainability
| Autor: | Hannah H. E. van Zanten, Gerdine Kaptijn, Johanna M. Geleijnse, Pieter van 't Veer, Anneleen Kuijsten, Elly Mertens |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Food intake
Nutrition and Disease Greenhouse gas emission (GHGE) Environment computer.software_genre lcsh:Computer applications to medicine. Medical informatics Animal Production Systems 12. Responsible consumption 03 medical and health sciences 0302 clinical medicine Voeding en Ziekte 11. Sustainability Production (economics) Environmental impact assessment lcsh:Science (General) Sensory Science and Eating Behaviour VLAG 030304 developmental biology Global Nutrition Dierlijke Productiesystemen 2. Zero hunger Consumption (economics) Land use (LU) Wereldvoeding 0303 health sciences Multidisciplinary Database Land use Life cycle analyses (LCA) Nursing and Health Profession Diet Europe Sensoriek en eetgedrag Geography Food 13. Climate action Greenhouse gas Sustainability WIAS Survey data collection lcsh:R858-859.7 computer 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 27, Iss, Pp-(2019) Data in Brief Data in Brief 27 (2019) Data in Brief, 27 |
| ISSN: | 2352-3409 |
| Popis: | To initiate the achievement of an European-wide applicable public database for indicators of environmental sustainability of the diet, we developed the SHARP Indicators Database (SHARP-ID). A comprehensive description of the development of the SHARP-ID is provided in this article. In the SHARP-ID, environmental impact assessment was based on attributional life cycle analyses using environmental indicators greenhouse gas emission (GHGE) and land use (LU). Life cycle inventory data of 182 primary products were combined with data on production, trade and transport, and adjusted for consumption amount using conversions factors for production, edible portion, cooking losses and gains, and for food losses and waste in order to derive estimates of GHGE and LU for the foods as eaten. Extrapolations based on similarities in type of food, production system and ingredient composition were made to obtain estimates of GHGE and LU per kg of food as eaten for 944 food items coded with a unique FoodEx2-code of EFSA and consumed in four European countries, i.e. Denmark, Czech Republic, Italy and France. This LCA-food-item database can be linked to food intake data collected at the individual level in order to calculate the environmental impact of individual's diets. The application of this database to European survey data is described in an original research article entitled “Dietary choices and environmental impact in four European countries” (Mertens et al., 2019). Keywords: Environment, Greenhouse gas emission (GHGE), Land use (LU), Life cycle analyses (LCA), Europe, Food, Diet |
| Databáze: | OpenAIRE |
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