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Paysages virtuels et analyse de scénarios pour évaluer les impacts ...

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pig landuse N+1<br />

landuse N fallow grain maizegrain maizesilage other permpasture potato raygrassseed temppasture veg<strong>et</strong>able<br />

fallow<br />

0.667 0.333<br />

grain 0.007 0.184 0.483 0.045 0.004 0.064 0.011 0.03 0.172<br />

maizegrain 0.02 0.469 0.298 0.012 0.041 0.029 0.131<br />

maizesilage 0.091 0.485 0.091 0.03 0.03 0.273<br />

other<br />

1<br />

permpasture<br />

1<br />

potato<br />

0.212 0.636 0.152<br />

raygrassseed<br />

0.333 0.167 0.5<br />

temppasture 0.016 0.106 0.136 0.045 0.636 0.061<br />

veg<strong>et</strong>able<br />

0.568 0.148 0.136 0.08 0.068<br />

other landuse N+1<br />

landuse N fallow grain maizegrain maizesilage other permpasture potato temppasture veg<strong>et</strong>able<br />

fallow<br />

0.273 0.273 0.09 0.182 0.182<br />

grain 0.01 0.173 0.332 0.163 0.016 0.054 0.054 0.198<br />

maizegrain 0.006 0.377 0.428 0.013 0.031 0.145<br />

maizesilage 0.018 0.277 0.027 0.347 0.009 0.018 0.188 0.116<br />

other<br />

0.6 0.4<br />

permpasture<br />

1<br />

potato<br />

0.5 0.071 0.358 0.071<br />

temppasture 0.007 0.109 0.022 0.101 0.007 0.725 0.029<br />

veg<strong>et</strong>able<br />

0.02 0.46 0.19 0.06 0.05 0.01 0.08 0.13<br />

Annexes II : Matrices <strong>de</strong> transition <strong>et</strong> arbres <strong>de</strong> décision relatifs aux chapitre III <strong>et</strong> IV – p. 198

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