Report - ICP Forests
Report - ICP Forests
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.