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Report - ICP Forests

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3. Intensive Monitoring 81<br />

-0.6 0.6<br />

Cratamon<br />

Castasat<br />

Acer pla<br />

Ranunfic<br />

Carpibet<br />

Rumexsan<br />

Ribesalp<br />

Viciasep<br />

Quercrub<br />

Sorbutor<br />

Oxaliace<br />

Axis 2<br />

Lat<br />

Impatpar<br />

Hellefoe<br />

Querccer<br />

Malussyl<br />

Polypvul<br />

Prunuavi Pteriaqu<br />

Sorbuauc<br />

Rosa arv Rubusfru<br />

Rumexact<br />

Rubuscae<br />

Potenste<br />

Ulmusgla<br />

Sorbudom<br />

Quercpyr Geum urb<br />

Urticdio Mercuper<br />

Anemonem<br />

Lathyver<br />

Axis 1<br />

Rosa can<br />

Fragaves<br />

Geranrob<br />

Cardaimp<br />

Acer cam<br />

SubAtl_Cli<br />

Lathyven<br />

pH_org<br />

Ndep95_EMEP<br />

-0.2 0.8<br />

Figure 3.4.4-2: Biplot of the model of Table 3.4.4-6. See caption of Table 3.4.4-6 for details. Explanation of<br />

species codes in Annex 3.4.1, explanation of environmental codes as in Figure 3.4.4-1 (SubAtl_Cli = subatlantic).<br />

Species are selected for which > 2% variance is explained by the model.<br />

Temporal change in the Ellenberg values and number of species<br />

Table 3.4.4-7 gives the change in Ellenberg values and their significance. The indicator for<br />

nutrient availability (N) is the only one that significantly changed (increase, P = 0.01). Besides,<br />

the number of species per relevé highly significantly increased by 1.4 species (P < 0.001).<br />

Multiple regression was used to find the relation between the environmental variables and the<br />

change in those indicators that significantly changed (Ellenberg N and number of species). A<br />

minimal model was derived by backward selection, i.e. stepwise removal of non-significant<br />

terms from a full model containing all environmental variables, until only variables with a<br />

significant effect remained. Also terms with a correlation of |R| > 0.5 with other terms in the<br />

model were removed, starting with the one with the lowest T-value. Again this was done with<br />

(N = 99) and without (N = 42) bulk and throughfall deposition (in this case the number of usable<br />

records is even lower than in the multivariate analysis because at both points in time (first and<br />

last relevé) there should be at least three species with a known Ellenberg value). Table 3.4.4-8<br />

gives the result when only EMEP deposition estimates are included, and Table 3.4.4-9 when<br />

both bulk, throughfall en EMEP deposition are included. In both cases there is a significant<br />

effect of N deposition, even for both EMEP and throughfall when they are included together (in<br />

this selection their R is just < 0.5). Both terms influence the change in Ellenberg N in the<br />

expected direction i.e. an increase. Note that the large negative value for the 'undetermined' fit is<br />

due to interaction effects which have not been explored in this project. Therefore the models<br />

(especially of Table 3.4.4-9) should be viewed with some caution. Table 3.4.4-10 gives the<br />

analysis for the change in number of species; the EMEP deposition does not significantly<br />

contribute to this change.

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