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Report from the Sub-comittee on the environment and health

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Beh<strong>and</strong>lingshyppighed<br />

S<strong>and</strong>synligheden for effekter på alger i<br />

v<strong>and</strong>huller i 4 scenarier<br />

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0,26 10<br />

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0,59<br />

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20<br />

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1,17<br />

45<br />

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2,34<br />

85<br />

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0 20 40 60 80 100<br />

S<strong>and</strong>synlighed i %<br />

Figure 10.10<br />

The model-based probability of effects <strong>on</strong> algae in typical Danish p<strong>on</strong>ds<br />

in four scenarios with different crop distributi<strong>on</strong> <strong>and</strong> treatment frequency<br />

index (<str<strong>on</strong>g>from</str<strong>on</strong>g> Møhlenberg, Gustavs<strong>on</strong> 1999).<br />

(Figure texts:<br />

S<strong>and</strong>synligheden for effekter på alger i v<strong>and</strong>huller i 4 scenarier =<br />

Probability of effects <strong>on</strong> algae in p<strong>on</strong>ds in 4 scenarios<br />

Beh<strong>and</strong>lingshyppighed = Treatment frequency index<br />

S<strong>and</strong>synlighed i % = Probability in %)<br />

Corresp<strong>on</strong>dingly for crustaceans, <str<strong>on</strong>g>the</str<strong>on</strong>g> probability of effects with more<br />

than 10% inhibiti<strong>on</strong> is about 55% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 2.34 scenario, about 25% in <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

1.17 scenario, about 15% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 0.59 scenario <strong>and</strong> about 10% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 0.26<br />

scenario, as shown in figure 10.11.<br />

Halving <str<strong>on</strong>g>the</str<strong>on</strong>g> treatment frequency index greatly reduces <str<strong>on</strong>g>the</str<strong>on</strong>g> probability of<br />

effects, since several years pass between events where c<strong>on</strong>siderable<br />

effects can be expected. As an example, in potatoes, <str<strong>on</strong>g>the</str<strong>on</strong>g> frequency of<br />

100% inhibiti<strong>on</strong> of crustaceans decreases <str<strong>on</strong>g>from</str<strong>on</strong>g> 70% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 2.34 scenario<br />

to about 35% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 1.17 scenario. Corresp<strong>on</strong>dingly, <str<strong>on</strong>g>the</str<strong>on</strong>g> frequency of<br />

events with sublethal inhibiti<strong>on</strong> (up to 10% effect) is halved <str<strong>on</strong>g>from</str<strong>on</strong>g> 100%<br />

in <str<strong>on</strong>g>the</str<strong>on</strong>g> 2.34 scenario to 50% in <str<strong>on</strong>g>the</str<strong>on</strong>g> 1.17 scenario (Møhlenberg, Gustavs<strong>on</strong><br />

1999).<br />

It can thus be c<strong>on</strong>cluded that <str<strong>on</strong>g>the</str<strong>on</strong>g> model calculati<strong>on</strong>s for p<strong>on</strong>ds show a<br />

probability of effects <strong>on</strong> both flora <strong>and</strong> fauna as a c<strong>on</strong>sequence of run-off<br />

in all four scenarios. The probability of effect falls with <str<strong>on</strong>g>the</str<strong>on</strong>g> quantity of<br />

pesticides used in <str<strong>on</strong>g>the</str<strong>on</strong>g> scenarios.<br />

207

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