No Thumbnail Available
Calculation of a food consumption nitrogen footprint for Germany
Calculation of a food consumption nitrogen footprint for Germany
Authors
Editor
Containing Item
Environmental research letters
16 (2021)
16 (2021)
Keywords
Landwirtschaft, Nahrungsproduktion
Citation
KLEMENT, Laura, Martin BACH und Markus GEUPEL, 2021. Calculation of a food consumption nitrogen footprint for Germany. Environmental research letters [online]. 2021. Bd. 16 (2021). DOI 10.60810/openumwelt-249. Verfügbar unter: https://openumwelt.de/handle/123456789/1892
Abstract english
Reactive nitrogen (Nr) that is released to the environment has several negative implications for the atmosphere, hydrosphere, biodiversity and human health. A nitrogen (N) footprint is a measure that can help to assess and communicate the impact of personal lifestyle and consumption choices regarding their influences on Nr losses. The N-Calculator tool was developed to estimate this footprint. However, underlying loss factors for the food sector in the N-Calculator rely on data from the US, for which the calculator was originally established. Since the conditions in agriculture and the food industry differ significantly between the US and other countries, and the fact that the food sector is considered the main source of Nr losses in the N-Calculator, a revision of the N-Calculator is required if applied to other countries. Here we present a revised N-Calculator for Germany that is based on German food production data. In this study, virtual nitrogen factors describe the losses of nitrogen in a supply chain. Losses were calculated for 20 plant-based products, 17 feed materials, 18 compound feeds and 14 animal-based products. The N footprint varies considerably between products. While plant-based products amount to a weighted average of 3.4 g N loss per kg product, animal-based products cause significantly higher losses with 40.5 g N loss per kg. Overall, the average N footprint for the German consumer is calculated to be at 9.94 kg per capita and year. To validate the results, the individual categories were scaled up to the national level and then compared with statistical data on N flows in Germany. In general, the results showed good agreement with key production figures and the overall N budget for Germany. Furthermore, some improvements are proposed to increase the informative value and user acceptance of an N-Calculator. © 2021 The Author(s)