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Landscapes Forest and Global Change - ESA - Escola Superior ...

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A. Gil-Tena et al. 2010. Disentangling recent changes in forest bird ranges in Mediterranean forests (NE Spain)<br />

565<br />

perimeters. Fires were assessed by means of the accumulated amount of burnt forest area<br />

(Burnt) during the first <strong>and</strong> second edition of the CBBA. Furthermore, to determine whether the<br />

initial conditions of forest influence bird range changes, we also computed the initial state of<br />

both basal <strong>and</strong> forest area (G <strong>and</strong> <strong>Forest</strong>, respectively).<br />

2.3 Analysis<br />

We performed Pearson’s correlations between the variation of forest bird species richness <strong>and</strong><br />

the initial forest conditions (<strong>Forest</strong> <strong>and</strong> G), the variation of basal area (ΔG) <strong>and</strong> forest area<br />

(Δ<strong>Forest</strong>), burnt forest (Burnt) <strong>and</strong> the removed basal area in improvement <strong>and</strong> regeneration<br />

treatments (IMP <strong>and</strong> REG Removed G, respectively). Excluding the case of variation of forest<br />

area that in Catalonia is mainly associated with afforestation in formerly cultivated areas, we<br />

computed partial correlations controlling for the effect of initial forest conditions since changes<br />

in forest structure due to forest maturation, fires <strong>and</strong> forest management may be strongly<br />

influenced by them. In the case of partial correlations of the initial forest conditions, for forest<br />

area we considered the influence that may have the initial basal area <strong>and</strong> vice versa. We also<br />

calculated a multivariate general linear model for assessing forest bird species richness variation<br />

as a function of the former independent variables. We used a hierarchical modeling approach<br />

(two steps; see also Gil-Tena et al. (2009, 2010)) to progressively consider initial forest<br />

conditions (Step 1) <strong>and</strong> forest dynamics (Step 2). Significant variables at Step 1 were introduced<br />

in Step 2 <strong>and</strong> their contribution to the model evaluated by means of st<strong>and</strong>ardized partial<br />

regression coefficients (β). In each step, we used a forward stepwise selection process (p-toenter=0.05).<br />

3. Result<br />

The variation of forest bird species richness during the period between Atlases was positive for<br />

much of the study area covered by forests (59% of UTMs covered by forests increased species<br />

richness) whereas the negative values mainly corresponded with poorly forested areas (Figure 1).<br />

Agreeing with this, initial forest conditions were significantly related to the variation of forest<br />

bird species richness (Table 2). In the case of initial forest area (<strong>Forest</strong>), Pearson’s correlation<br />

was significantly different from partial correlation controlling by the effect of initial basal area<br />

(G; p=0.005). This agrees with the positive correlations between variation of species richness<br />

<strong>and</strong> initial basal area (Table 2) <strong>and</strong> with the fact that the difference between Pearson’s <strong>and</strong><br />

partial correlations was lower than for initial forest (p=0.026), indicating that the variation of<br />

species richness was mainly associated with forests with a certain structural development (in<br />

terms of G).<br />

Variation of species richness was also associated with forest dynamics, particularly with<br />

variation of basal area (ΔG). According to the difference between Pearson’s <strong>and</strong> partial<br />

correlations when controlling for the effect of initial basal area (p=0.007), the maturation in<br />

previous forest areas with a developed structure strongly influenced species richness variation.<br />

Afforestation, in terms of increment of forest area, was also positively related with species<br />

richness variation but to a lesser extent than maturation (Table 2). Burnt forest area showed a<br />

non-significant positive correlation with species richness variation that only turned significant<br />

when considering initial forest conditions (Table 2). Regarding forest management influence on<br />

bird species variation, sylvicultural treatments seem not to preclude species richness variation,<br />

which is particularly true for regeneration treatments (Table 2). These results were quite<br />

independent of the initial forest conditions (in all the cases, p>0.05 when comparing Pearson’s<br />

<strong>and</strong> partial correlations).<br />

The results obtained in the multivariate model (R 2 = 0.24; Table 3) confirmed the importance, for<br />

species richness variation, of the maturation produced in forests with a developed structure (in<br />

terms of G). Afforestation also seems to be favoring species richness variation but changes in<br />

<strong>Forest</strong> <strong>L<strong>and</strong>scapes</strong> <strong>and</strong> <strong>Global</strong> <strong>Change</strong>-New Frontiers in Management, Conservation <strong>and</strong> Restoration. Proceedings of the IUFRO L<strong>and</strong>scape Ecology<br />

Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.)<br />

2010, Instituto Politécnico de Bragança, Bragança, Portugal.

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