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LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

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PLENARY SESSION 1: FOOD 8 th Int. Conference on <strong>LCA</strong> <strong>in</strong> the<br />

Agri-<strong>Food</strong> Sector, 1-4 Oct <strong>2012</strong><br />

different conversion factors (and therefore food losses) <strong>in</strong> 2006 and 1985-89, the observed differences could<br />

be caused either by variations <strong>in</strong> the average di<strong>et</strong> or vary<strong>in</strong>g food losses (Fig. 1).<br />

For the reductions observed the ma<strong>in</strong> driver has been a shift <strong>in</strong> di<strong>et</strong>s, with the exception of blue water.<br />

Here, ma<strong>in</strong>ly caused by an <strong>in</strong>creased <strong>in</strong>take of fruits, blue water also <strong>in</strong>creased accord<strong>in</strong>gly. But this rise was<br />

almost compensated by less food losses <strong>in</strong> 2006 (for fruits). For the other <strong>in</strong>dicators (GHG, NH3, land use, P<br />

use), which are more driven by animal products, <strong>in</strong>creased food losses partially countervailed ga<strong>in</strong>s achieved<br />

through shift<strong>in</strong>g di<strong>et</strong>s. Beneficial reductions by both means (di<strong>et</strong> shift and less food losses) have been observed<br />

only for the cumulative energy demand (CED).<br />

Concern<strong>in</strong>g sensitivity analysis, a perturbation analysis was performed with a variation of ± 25% of the<br />

<strong>in</strong>put param<strong>et</strong>ers.<br />

4. Discussion<br />

Tak<strong>in</strong>g different reference years, countries and system boundaries <strong>in</strong>to consideration our results are comparable<br />

to other studies (e.g. Taylor 2000, P<strong>et</strong>ers <strong>et</strong> al., 2007, Muñoz <strong>et</strong> al., 2010, Jungbluth <strong>et</strong> al., 2011).<br />

Nevertheless the follow<strong>in</strong>g limitations of our study should be mentioned:<br />

system boundaries cradle-to-store (not cradle-to-grave)<br />

attributional approach, although data for fish was generated by a consequential approach<br />

for the scenario analysis (comparison with recommendations and di<strong>et</strong> styles) a consequential approach<br />

would be more appropriate to also analyse rebound effects (e.g. mark<strong>et</strong> effects)<br />

for GHG emissions, NH3 emissions, P use and CED, if no separate data for imported products was<br />

available then these were modelled as domestically produced<br />

although different <strong>in</strong>take and production data were used, for 1985-89 the same production conditions<br />

(and therefore production efficiencies), import shares and import countries were assumed<br />

nuts & seeds were omitted <strong>in</strong> the scenario analysis of the recommendations (D-A-CH, UGB)<br />

due to the ongo<strong>in</strong>g discussion about water <strong>in</strong> <strong>LCA</strong>s, we only considered blue water<br />

With regard to the di<strong>et</strong> styles analysed it should be noted that a vegan di<strong>et</strong>, and to a lesser extent a veg<strong>et</strong>arian<br />

one, could provide an <strong>in</strong>sufficient supply of essential nutrients.<br />

5. Conclusion<br />

The study shows that with<strong>in</strong> one soci<strong>et</strong>y dist<strong>in</strong>ct di<strong>et</strong> profiles of men and women with markedly different<br />

environmental impacts are already established. Nevertheless, with regard to di<strong>et</strong>ary recommendations and<br />

alternative di<strong>et</strong> styles (veg<strong>et</strong>arian, vegan) men, and to a lesser extent women as well, could achieve significant<br />

environmental benefits (with the exception of blue water use). In comparison to the years 1985-89, all<br />

<strong>in</strong>dicators showed reduced environmental impacts, but with dist<strong>in</strong>ct contributions of the ma<strong>in</strong> drivers (di<strong>et</strong><br />

shifts and food losses). Further research should also consider health impact assessments to ensure that alterations<br />

<strong>in</strong> di<strong>et</strong> profiles due to environmental constra<strong>in</strong>ts do not lead to disadvantageous public health effects.<br />

Particular attention should be paid here to potentially undernourished subgroups (such as toddlers, children,<br />

the elderly, sick people, pregnant women <strong>et</strong>c.).<br />

6. References<br />

BLE 2007. Energie,- und Wasserverbrauch des Ernährungsgewerbes 2006. Meldungen aus der Ernährungswirtschaftmeldeverordnung<br />

(EWMV), unveröffentlicht. Bundesanstalt für Landwirtschaft und Ernährung, Bonn.<br />

BMELV 2009. Statistisches Jahrbuch über Ernährung, Landwirtschaft und Forsten <strong>in</strong> der Bundesrepublik Deutschland. 53. Jahrgang,<br />

Bundesm<strong>in</strong>isterium für Ernährung, Landwirtschaft und Verbraucherschutz, Bonn/Berl<strong>in</strong>.<br />

BML 1991. Statistisches Jahrbuch über Ernährung, Landwirtschaft und Forsten der Bundesrepublik Deutschland 1991. Bundesm<strong>in</strong>ister<br />

für Landwirtschaft, Ernährung und Forsten, Bonn.<br />

Brentrup, F., Pallière, C. 2008. GHG emissions and energy efficiency <strong>in</strong> European nitrogen fertiliser production and use. International<br />

Fertiliser Soci<strong>et</strong>y, York.<br />

DGE 2008. Vollwertig essen und tr<strong>in</strong>ken nach den 10 Regeln der DGE. Deutsche Gesellschaft für<br />

Ernährung e.V., aid Infodienst, Bonn, p. 7-25.<br />

DIW 2008. Verkehr <strong>in</strong> Zahlen. Deutsches Institut für Wirtschaftsforschung. 37. Jg. Dt. Verkehrs-Verlag, Hamburg, p. 247.<br />

EC 2011. A roadmap for mov<strong>in</strong>g to a comp<strong>et</strong>itive low carbon economy <strong>in</strong> 2050. European Commission, Brussels.<br />

FAO Stat 2011. D<strong>et</strong>ailed trade matrix for Germany 2006. <strong>Food</strong> and Agriculture Organization of the UN, Rome. http://faostat.fao.org.<br />

Accessed 25 November 2011.<br />

FAO Stat <strong>2012</strong>. Production, crops and yields. Statistical Division of the <strong>Food</strong> and Agriculture Organization of the UN, Rome.<br />

http://faostat.fao.org. Accessed 21 January <strong>2012</strong>.<br />

Institute of Applied Ecology 2010. GEMIS 4.6 — Global Emissions Model of Integrated Systems. Institut für angewandte Ökologie,<br />

Freiburg.<br />

ISO 2006. Environmental Management — Life Cycle Assessment — Pr<strong>in</strong>ciples and framework. (ISO 14040:2006). International<br />

Organization for Standardization, Paris.<br />

114

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