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

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GROUP 1, SESSION A: ANIMAL PRODUCTION SYSTEMS 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 />

14. A matrix approach to spatialise impacts of US milk production<br />

Anne Assel<strong>in</strong>-Balençon 1,* , Andrew Henderson 1 , Marty Heller 1,3 , L<strong>in</strong>dsay Lessard 2 , Samuel Vionn<strong>et</strong> 2 ,<br />

Sebastien Humbert 2 , Rosie Saad 4 , Manuele Margni 4 , Greg Thoma 5 , Marty Matlock 6 , Olivier Jolli<strong>et</strong> 1<br />

1 School of Public Health (SPH), University of Michigan, 6622 SPH Tower, 1415 Wash<strong>in</strong>gton Heights, Ann<br />

Arbor, Michigan 48109-2029, USA, 2 Quantis, Parc scientifique de l'EPFL, Bât. D, 1015 Lausanne Switzerland,<br />

3 Center for Susta<strong>in</strong>able Systems, School of Natural Resources and Environment, University of Michigan,<br />

3012 Dana Build<strong>in</strong>g, 440 Church Stre<strong>et</strong>, Ann Arbor, MI 48109-1041, USA, 4 CIRAIG, École Polytechnique<br />

de Montréal, Département de génie chimique, C.P. 6079, succ. Centre-Ville, Montréal (Qc) Canada,<br />

H3C 3A7, 5 Ralph E. Mart<strong>in</strong> Department of Chemical Eng<strong>in</strong>eer<strong>in</strong>g, University of Arkansas, 3202 Bell Eng<strong>in</strong>eer<strong>in</strong>g<br />

Center, 800 West Dickson Stre<strong>et</strong>, Fay<strong>et</strong>teville, AR 72701-1201, USA, 6 Department of Biological &<br />

Agricultural Eng<strong>in</strong>eer<strong>in</strong>g, Eng<strong>in</strong>eer<strong>in</strong>g Hall, Fay<strong>et</strong>teville, AR 7270, USA, Correspond<strong>in</strong>g author. E-mail:<br />

aassel<strong>in</strong>@umich.edu<br />

In many cases <strong>in</strong> production, goods are not consumed <strong>in</strong> the same place they are produced. This is particularly<br />

the case <strong>in</strong> agriculture. Crops are produced for a lot of purposes, which can be milk or meat production<br />

or process<strong>in</strong>g for human consumption. The downstream production (eg milk or meat) does not necessarily<br />

take place <strong>in</strong> the same location where the crops were grown; some of those crops can be transported over<br />

very long distances before be<strong>in</strong>g consumed or processed. This is especially the case <strong>in</strong> the case of US milk,<br />

where corn gra<strong>in</strong> for example is mostly produced <strong>in</strong> the Corn Belt, while it is consumed all over the nation.<br />

On the other end and for some impact categories the impacts of crop production is very local. It is the case of<br />

water stress for example. Crop production is a water <strong>in</strong>tensive activity, and water use and impacts vary<br />

greatly depend<strong>in</strong>g on region, crop irrigation and type of crop. In some regions, irrigation account for up to<br />

90% of water withdrawn from available sources, while <strong>in</strong> some others with plentiful ra<strong>in</strong>water, irrigation is<br />

barely necessary.<br />

This presentation <strong>in</strong>troduces a generic model to properly account for the attribution of a flow or impact to the<br />

milk produc<strong>in</strong>g locations and gra<strong>in</strong> produc<strong>in</strong>g locations, through a matrix approach at the state level. This<br />

approach allows an analysis <strong>in</strong> which an <strong>in</strong>ventory flow <strong>in</strong> milk produc<strong>in</strong>g state j can be decomposed <strong>in</strong>to<br />

<strong>in</strong>ventories flows <strong>in</strong> gra<strong>in</strong> produc<strong>in</strong>g states i. Furthermore, impacts from those gra<strong>in</strong> and milk produc<strong>in</strong>g<br />

states are aggregated on the level of the <strong>in</strong>ducer (the state produc<strong>in</strong>g milk, for which gra<strong>in</strong> is grown <strong>in</strong> other<br />

states), the emitter (the states <strong>in</strong> which environmental emissions occur), or receiver (the states or other global<br />

regions <strong>in</strong> which the impacts of those environmental emissions are felt).<br />

Overall, the water stress impact of 1 kg milk <strong>in</strong> the US is equal to 109 litres <strong>in</strong> comp<strong>et</strong>ition per kg milk, California<br />

represent<strong>in</strong>g 22% of the national milk production and 54% of the impact. This national impact <strong>in</strong>corporates<br />

the impact of each of the feeds at a state resolution. Look<strong>in</strong>g at a particular feed production, corn<br />

gra<strong>in</strong>, the national water impact is 54 litres <strong>in</strong> comp<strong>et</strong>ition per kg corn gra<strong>in</strong>, nearly half of this impact com<strong>in</strong>g<br />

from one s<strong>in</strong>gle state, Nebraska, comb<strong>in</strong><strong>in</strong>g two factors: relatively high production and relatively high<br />

water stress <strong>in</strong>dex. The impact of eutrophication from phosphorus takes place over the whole watershed<br />

downstream of crop production and application of organic and <strong>in</strong>organic P fertiliser. The orig<strong>in</strong>al matrix<br />

approach is key to correctly assess local impacts of a given <strong>in</strong>dustry account<strong>in</strong>g for the orig<strong>in</strong> of its supplies,<br />

and can be used for different spatialised resolutions and <strong>in</strong>dustries.<br />

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