Stand structure and plant species diversity in managed and
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Stand structure and plant species diversity in managed and
Forest Ecology and Management 270 (2012) 232–238 Contents lists available at SciVerse ScienceDirect Forest Ecology and Management journal homepage: www.elsevier.com/locate/foreco Stand structure and plant species diversity in managed and abandoned silver fir mature woodlands T. Sitzia a,⇑, G. Trentanovi a, M. Dainese a, G. Gobbo b, E. Lingua a, M. Sommacal b a b Università degli Studi di Padova, Dipartimento Territorio e Sistemi Agro-forestali, Viale dell’Università 16, I-35020 Legnaro (PD), Italy Italian Ministry of Agricultural, Food and Forestry Policies, State Forestry Corps, Ufficio Territoriale per la Biodiversità, Via Gregorio XVI 8, I-32100 Belluno, Italy a r t i c l e i n f o Article history: Received 15 December 2011 Received in revised form 17 January 2012 Accepted 19 January 2012 Keywords: Woodland conservation Unmanaged forests Stand diversity Mixed models Vascular species Deadwood a b s t r a c t Although few undisturbed forests remain in Europe, forest reserves and deforested areas that are no longer profitable have the potential to develop stand structures similar to those which preceded human disturbances. The direct effects of management cessation on forest diversity are confounded by many factors that should be controlled when comparing managed and abandoned stands. In the European Alps, however, the high variability of habitats makes it nearly impossible to find comparable stands located within forests large enough to be independent from the surrounding land. The aim of this study was to investigate the use of mixed models to compare deadwood and plant diversity between matched managed and unmanaged pairs of forests, with the hypothesis that their differences were due to direct effect of abandonment. Two neighbouring watersheds that were large enough to be independent from the surrounding forests were chosen. These watersheds had a common history of use, but one was non-intensively managed, while the other was untouched since 1957. Ten plots were randomly selected from each forest. Mixed models confirmed their matched topography and stand structure, while a similarity index confirmed their assignment to the same plant community. The unmanaged stand had higher soil nitrogen, higher Fagus sylvatica dendrological composition, higher tree species richness, higher dead logs and a different composition of the tree and understory layers. These results suggest that silver fir woodlands abandoned for more than 50 years change spontaneously and that this approach may be an effective means for studying other forest communities. Ó 2012 Elsevier B.V. All rights reserved. 1. Introduction Millennia of human activities have left Europe with only 1% of its landmass covered with relatively natural woodlands (Heywood and Watson, 1995; Vanbergen et al., 2005); in Italy natural woodlands cover only 0.032% of the forested surface (Maesano et al., 2010; Marchetti et al., 2010). However, woodlands inside strict forest reserves (MCPFE, 1998; Parviainen et al., 2000) have the potential to develop towards old-growth forests (Gilg, 2004) that have stand structures and features similar to those which preceded human disturbances (Schnitzler and Borleab, 1998; Parviainen et al., 2000; Motta et al., 2010). In addition because silviculture is often abandoned when unprofitable, such as in the Alpine and in the Mediterranean regions (Piussi, 1991; Fabbio et al., 2003; Pettenella and Secco, 2006), the area of unmanaged woodlands is expected to increase in the future. The dynamics and functional processes that follow forest abandonment are occurring in an increasing portion of European forests. In general, past silvicultural treatments have influenced tree ⇑ Corresponding author. Tel.: +39 0498272747; fax: +39 0498272686. E-mail address: [email protected] (T. Sitzia). 0378-1127/$ - see front matter Ó 2012 Elsevier B.V. All rights reserved. doi:10.1016/j.foreco.2012.01.032 composition, growing stock, stand vertical structure and deadwood (Boncina, 2000; Christensen et al., 2005; Debeljak, 2006), as well as biotic components other than trees (see Harmon et al., 1986; Carey and Johnson, 1995; McAlister, 1995; Gunn and Hagan, 2000; Gibb et al., 2006). Consequently, the effects of abandonment may have few practical implications in the short-term, but relatively greater significance in the long-term (White and Mladenoff, 1994; Ruffner and Abrams, 1998; Motta and Garbarino, 2003; Paillet et al., 2010). There is an extensive literature on biodiversity differences between managed and unmanaged European forests. However, little has been reported with a sampling design that can match landscape conditions, plant communities and stand development stage, which could override the effects of abandonment. Due to the high variability of the forests in the Alps, it is particularly difficult to control these confounding factors on large samples of forests. In addition, unmanaged samples should be located within large enough areas so that they are not influenced by the neighbouring managed forests (see Paillet et al., 2010 for a review). For above mentioned reasons, comparative studies between managed and unmanaged forests in the Alpine environment are rare (but see Boncina, 2000; Motta et al., 2008), and a feasible approach is to compare just two stands (Burrascano et al., 2008) T. Sitzia et al. / Forest Ecology and Management 270 (2012) 232–238 located not far from each other and similar in their characteristics. Providing that the unmanaged one is part of a forest large enough not to be influenced by the neighbouring managed forests and that it was subject to past logging of similar intensity, the other variables to be matched should be firstly chosen among those relatively independent of management, like plant community and topography. Then, since stand structure is closely related to functions, in terms of biodiversity and soil quality, controlling the former implies that the specific relationships between stand structure and functions would vary according solely to the effect of disturbance regimes (Fujimori, 2001). Therefore, when stand structure matches, a further level of control is permitted. In contrast, the partial contributions of the main tree species to tree density, basal area, volume and crown cover are stand measurements, collectively called dendrological composition (Hellrigl, 1986), that are related to the periodic effect of intermediate cuttings and should be encountered as variables dependent on abandonment of management. Even after having taken these precautions, observations from the same geographical area may be correlated either in space or through time. Therefore, examining the effects of abandonment would be still confounded by the difficulty of separating the effects of abandonment from spatial or temporal pseudo-replicated correlations between and within forest samples (Hurlbert, 1984). Because mixed models have shown great potential for avoiding the problems of pseudo-replication in other ecological fields (Paterson and Lello, 2003; Millar and Anderson, 2004), their efficacy in detecting differences between matched pairs of managed and unmanaged forests under varying site conditions would be of considerable interest. In this study, mixed models were used to compare soil quality, dendrological composition and three groups of biodiversity variables (deadwood and vascular species richness and composition) within two silver fir (Abies alba) woodlands of the Alps that were matched for topography, stand structure and plant community. Differences will be discussed hypothesising their relation to the abandonment of management. 2. Material and methods 2.1. Study areas The study was carried out in an Alpine forest district of northeastern Italy. The mean annual temperature is 7.2 °C and mean annual precipitation is 1300–1500 mm year1; precipitation is mainly concentrated in May–June and October–November. The most common forest soils are Cambisols, and the substrate is limestone deposits. Two neighbouring 1040 ha watersheds (Tovanella and Cajada) were selected for this study (Fig. 1). The two watersheds are at the same altitudinal range (550–2500 m a.s.l.) and are currently subjected to contrasting forest management regimes, but have a common past-history of use. During 1943–1953, these forests were heavily exploited (up to 150% ratio of yield to increment), which reduced them to very low growing stock (<200 m3 ha1) with a paucity of good quality and large trees (Susmel, 1958). Silviculture and grazing were stopped in the forests of the Tovanella watershed (46°180 N, 12°180 E) in 1957 (Susmel, 1958) and have been part of a nature reserve since 1971 (Viola et al., 2008). The forests of the Cajada watershed (46°140 N, 12°140 E) are currently non-intensively managed for timber production using group selection logging based on a 12-year cutting cycle with exploited areas <1000 m2. The mean annual harvest is 1.72 m3 ha1, corresponding to 0.65% of the growing stock and 33.2% of the annual increment (Andrich, 2005). This research focused on the silver fir woodland type, which is widespread in the mountainous regions 233 of Europe (Liu, 1971) and is one of the most valuable for timber production (Mayer, 1979; Sagnard et al., 2002; Gabrielli, 2003) and biodiversity conservation (Becker, 1989; Senn and Suter, 2003; Gärtner and Reif, 2004; Heuze et al., 2005; Bottacci, 2009). According to Ozenda (1985) the silver fir woodlands studied here lie within the inner mountain belt of the southern calcareous pre-Alps and belong to the inner vegetation series of A. alba. 2.2. Data collection Ten sample units were randomly selected on slopes lower than 26° within stands that appeared mature and were mapped by Lasen et al. (2008) and Andrich (2005) as calcareous silver fir woodlands. Each sample unit was a circular 12.5 m radius plot with a 6 m sub-plot and two transects. In each circular plot, all trees (DBH > 7.5 cm) were mapped and the following parameters were recorded: DBH, species, total height, height of crown insertion and four vertical crown projection radii. The resulting stand structure attributes were consistent with a mature stage (Susmel, 1981). Natural regeneration was sampled, but was negligible, as expected for a mature stage. The amount of Coarse Woody Debris (CWD) was obtained by differently sampling the diverse deadwood elements (Motta et al., 2006; Castagneri et al., 2010). To assess number and volume of logs (larger diameter P10 cm), Line Intersect Method (Van Wagner, 1982; Marshall et al., 2000) was used, while for stumps (dead trees height <1.30 m and diameter at 50 cm-height P10 cm) and snags (height P1.30 m and diameter at 50 cm-height P10 cm), two 50 8 m rectangular transects spreading from the plot centre towards the north and east were used. Diameter (stem, base and top for stumps or two extremes for logs), height and decay classes were measured on each of the dead features. The decay stages of logs and snags were classified according to a five class system (Maser et al., 1979; Sollins, 1982). The decay stage of stumps was classified according to a four class system (Motta et al., 2006). For each understory vascular species, we estimated the Braun-Blanquet (1932) index of cover with surveys conducted within the 12.5 m-radius plot. On the same two transects used for the CWD, the plant species intersecting every 1 m segment was recorded. Ellenberg indicator values for moisture, nitrogen and soil reaction (Ellenberg et al., 1991) were used to evaluate soil quality. Community-level weighted means (Lavorel et al., 2008) of Ellenberg indicator values were calculated for every transect using frequency data in species composition. 2.3. Assessment of matched conditions The assignment of the understory relevés to the same Adenostylo glabrae–Abietetum albae vegetation unit of a regional phytosociological classification (Del Favero and Lasen, 1993) was verified using the Frequency-Positive Fidelity Index (FPFI) (Tichý, 2005). Linear mixed models with a restricted maximum likelihood (REML) estimation procedure were applied to verify the matched conditions of stand structure, where forest management was a fixed factor (managed vs. abandoned) and plot was a random factor. Stand structure variables included the following: tree diameter (TDD) and height (THD) diversity (see Kuuluvainen et al., 1996), the mean DBH and mean tree height across all species and of the three dominant tree species individually, total volume and total basal area of living trees. 2.4. Assessment of abandonment effects While stand structure was controlled to allow a comparison between the two forests, the effects of abandonment on 234 T. Sitzia et al. / Forest Ecology and Management 270 (2012) 232–238 Fig. 1. Italy, Veneto Region and location of the surveyed watersheds (triangle: Cajada, star: Tovanella). dendrological composition (in terms of their tree density, basal area, volume and crown cover) of the three dominant tree species, as well as soil quality, tree and understory species richness and CWD, were also examined with the same mixed models. Crown cover values were angular transformed prior to analysis (Zar, 1999). Non-metric multi-dimensional scaling (MDS) ordination based on the Bray–Curtis similarity index and Permutational Multivariate Analysis of Variance (PERMANOVA) (Anderson, 2001) were used to test for differences in tree and understory composition among the managed vs. abandoned stands. Forest management was a fixed factor. Upon finding a significant PERMANOVA, a Permutational Analysis of Multivariate Dispersions (PERMDISP) (Anderson et al., 2006) was employed to discern whether the compositional differences were within or between the two forests. To test the response of tree and understory species composition to forest management, Indicator Species Analysis (ISA) (Dufrêne and Legendre, 1997) was used. These species were identified for each forest cluster with the indicator value (IndVal) method, which combines the specificity of a species (its uniqueness to a particular forest management) and its fidelity (its frequency within that forest management). For each species, the IndVal ranges from 0 (no indication) to 1 (maximum indication). Statistical significance of IndVal was tested by means of a Monte Carlo test, based on 999 randomisations. All statistical analyses were performed using the following R software (R Development Core Team, 2009) packages. Linear mixed models were performed using ‘nlme’ package (Pinheiro et al., 2010). The functions ‘adonis’ and ‘betadisper’ in the package ‘vegan’ (Oksanen et al., 2011) were used to compute PERMANOVA and PERMDISP (999 permutations), respectively. Non-metric multi-dimensional scaling (MDS) ordination was performed using ‘labdsv’ package (Roberts, 2010). The Indicator Species Analysis was performed using the ‘indicspecies’ package (De Caceres and Legendre, 2009). Table 1 Mean ± SD of topographic and stand structural attributes of the two types of woodlands (managed and abandoned). P values were obtained by linear mixed models with a restricted maximum likelihood (REML) estimation procedure (forest management was a fixed factor, while plot was a random factor). Variables Managed Abandoned F value P level Topography Altitude (m a.s.l.) Slope (°) 1228 ± 43 16.1 ± 5.4 1221 ± 103 14.8 ± 8.0 0.045 0.182 0.834 0.675 50.5 ± 13.2 663 ± 183 2.0 ± 0.2 1.6 ± 0.3 46.8 ± 10.0 556 ± 154 1.9 ± 0.2 1.7 ± 0.3 0.502 1.979 0.931 0.897 0.488 0.177 0.532 0.428 34.6 ± 17.2 38.1 ± 21.7 15.2 ± 6.8 32.7 ± 17.1 39.8 ± 19.5 14.8 ± 6.5 0.623 0.066 0.062 0.440 0.801 0.807 21.4 ± 9.6 19.4 ± 12.1 12.1 ± 4.6 20.2 ± 9.3 22.0 ± 8.3 14.2 ± 5.1 0.181 0.030 4.180 0.676 0.864 0.057 Stand structure Basal area (m2 ha1) Volume (m3 ha1) TDD THD DBH (cm) Abies alba Picea abies Fagus sylvatica Height (m) Abies alba Picea abies Fagus sylvatica 3. Results 3.1. Matched conditions Both of the sampled forests were assigned to the A. glabrae–A. albae (FPFI >85%) forest type. Table 1 shows that neither topographical nor stand structure attributes differed between the managed and the abandoned forest. These results indicate that the two forests are matched for phytosociological association, site conditions and stand structure. 235 T. Sitzia et al. / Forest Ecology and Management 270 (2012) 232–238 Table 2 Mean ± SD of tree structural parameters of the two types of woodlands (managed and abandoned). P values were obtained by linear mixed models with a restricted maximum likelihood (REML) estimation procedure (forest management was a fixed factor, while plot was a random factor). Variables Abandoned F value P level 5.0 ± 0.3 5.0 ± 0.8 4.6 ± 0.7 4.9 ± 0.1 5.0 ± 0.5 5.6 ± 0.4 0.949 1.701 18.143 0.343 0.209 <0.001 273 ± 165 98 ± 81 120 ± 81 200 ± 103 108 ± 52 291 ± 176 1.426 2.969 6.937 0.355 0.227 0.011 Basal area (m2 ha1) Abies alba Picea abies Fagus sylvatica 32.0 ± 14.8 14.7 ± 11.9 2.6 ± 2.1 21.3 ± 9.3 16.6 ± 7.9 6.0 ± 3.9 3.698 0.166 5.656 0.194 0.723 0.032 Volume (m3 ha1) Abies alba Picea abies Fagus sylvatica 442 ± 197 197 ± 162 24 ± 25 278 ± 144 193 ± 89 61 ± 41 4.499 0.004 5.970 0.048 0.954 0.025 Crown cover (%) Abies alba Picea abies Fagus sylvatica 57.8 ± 13.3 20.3 ± 13.8 28.6 ± 19.7 52.3 ± 17.8 34.0 ± 14.0 55.6 ± 13.8 0.613 4.840 12.586 0.516 0.037 0.005 2.9 ± 0.3 38.6 ± 6.9 4.2 ± 0.9 34.4 ± 6.6 17.894 1.930 <0.001 0.182 38.6 ± 9.9 6.0 ± 3.5 14.1 ± 8.5 18.5 ± 10.2 10.736 26.161 18.540 32.394 0.004 <0.001 <0.001 <0.001 Soil quality (Ellenberg values) Moisture Reaction Nitrogen Dendrological composition Density (No. trees/ha) Abies alba Picea abies Fagus sylvatica Species richness (No. species) Trees Understory Managed Coarse Woody Debris (m3 ha1) Total CWD 24.8 ± 8.8 Stumps 23.0 ± 9.9 Snags 1.7 ± 3.4 Logs 0.2 ± 0.2 Table 3 PERMANOVA (Permutational Multivariate Analysis of Variance) and PERMDISP (Permutational Analysis of Multivariate Dispersions) results comparing tree and understory composition between the two types of woodlands (managed and abandoned). Comparisons were performed using the permutation test (n = 999). F value P level PERMANOVA Tree composition Understory composition 2.980 5.164 0.016 0.001 PERMDISP Tree composition Understory composition 0.499 1.702 0.484 0.226 Table 4 Indicator Species Analysis (ISA) of the two types of woodlands (managed and abandoned) for tree composition. IndVal values were tested using permutation tests (n = 999). Significant indicator species are presented in bold. Species Managed Abandoned P level Tree layer Abies alba Acer platanoides Fagus sylvatica Laburnum anagyroides Larix decidua Picea abies Salix caprea Sorbus aucuparia 0.76 0.00 0.51 0.00 0.00 0.69 0.00 0.00 0.65 0.32 0.84 0.32 0.84 0.72 0.32 0.32 0.277 1.000 0.005 1.000 0.004 0.787 1.000 1.000 Understory Abies alba Athyrium filix-femina Circaea alpina Dryopteris dilatata Euphorbia dulcis Fragaria vesca Helleborus viridis Hepatica nobilis Lonicera nigra Luzula nivea Maianthemum bifolium Mercurialis perennis Phegopteris connectilis Senecio cacaliaster Vaccinium myrtillus 0.26 0.71 0.82 0.84 0.00 0.93 0.00 0.80 0.89 0.95 0.92 0.30 0.85 0.89 0.91 0.94 0.00 0.06 0.27 0.71 0.06 0.77 0.20 0.00 0.22 0.34 0.84 0.39 0.00 0.15 0.012 0.030 0.020 0.025 0.025 0.004 0.007 0.024 0.001 0.007 0.032 0.049 0.008 0.003 0.003 3.2. Abandonment effects Abandonment was related to an increase in soil nitrogen (Table 2). According to Schaffers and Sýkora (2000), this difference must be due to the lower timber productivity of the abandoned forest, followed to the cessation of logging and accumulation of deadwood (Harmon et al., 1986). Furthermore, the cessation of logging, together with chronic N deposition, may have produced an excess N accumulation relative to C accumulation in soil (Binkley, 1995; Goodale and Aber, 2001). Table 2 shows that all species differed between the two forests in at least one of the dendrological parameters. Beech (Fagus sylvatica) differed in all parameters, spruce (Picea abies) differed only in crown cover and silver fir differed only marginally in volume. Beech must have increased due to the cessation of coppicing, while the spontaneous development is likely re-equilibrating silver fir partial volume to a more mixed natural state, conserving its Fig. 2. Nonmetric multidimensional scaling (MDS) ordination plots of community composition in two-dimensional space: (a) tree species and (b) understory species. Each point represents the composition of a community (open circles: managed plots; grey circles: abandoned plots) in multidimensional space and the distance between any two points represents the difference between those two communities according to a Bray–Curtis dissimilarity metric. 236 T. Sitzia et al. / Forest Ecology and Management 270 (2012) 232–238 Table 5 Decay class distribution (%) of snags, stumps, logs in the two types of woodlands (managed and abandoned). Snags and logs have five decay classes and stumps have four decay classes. Decay class 1 2 3 4 5 Snags Logs Stumps Managed Abandoned Managed Abandoned Managed Abandoned 75 25 0 0 0 20.8 58.3 14.6 4.2 2.1 17.9 12.8 35.9 30.8 2.6 11.5 15.6 40.6 20.8 11.5 2.7 17.6 42.3 37.4 0 13.7 48.7 37.6 participation to the canopy cover that is becoming saturated by the other two co-dominant tree species. The abandoned forest had a higher number of tree species (Table 2), as well as differences in tree species composition (Table 3 and Fig. 2a). As shown in Table 4, these differences were due to the cessation of beech coppicing and to the presence of seven old isolated Larix decidua trees (mean diameter: 38 cm), which are pioneer individuals whose development was favoured by the effects of the heavy past exploitation. In the managed forest, the regular forestry treatments likely caused the removal of these species. There were no differences in understory species richness (Table 2), supporting the idea that, apart from the time immediately following heavy thinning, the forest floor is little influenced by management (Graae and Heskjaer, 1997). However, from Fig. 2b and Table 3, it can be seen that the two forests differ in their understory composition. Table 4 shows that several indicator species of the Cajada understory in the managed forest (Fragaria vesca, Senecio cacaliaster and Vaccinium myrtillus) have a preference for higher light levels, whereas indicator species in the abandoned forest are more shade tolerant (silver fir seedlings, Euphorbia dulcis, Helleborus viridis and Mercurialis perennis). This is consistent with the differences found in canopy cover (Table 2). The PERMDISP analysis (Table 3) revealed that the composition of trees and understory were homogenous within each forest. The managed forest had a significantly lower volume of total CWD, snags and logs, but a higher volume of stumps (Table 2). The latter was likely reduced in the abandoned forest after the cessation of cutting. The fact that logs were more concentrated in the third and the fourth decay classes in both the forests, while snags were are almost exclusively concentrated in the first and in the second decay classes, strongly confirms that logs fall on the ground after spending the first and second decay stages as a snag; that is, most trees die when they are standing because of competition (Motta et al., 2006) (Table 5). Finally, stumps were concentrated in the two most advanced decay classes. In all, these results are consistent with those obtained in many previous studies (Fridman and Walheim, 2000; Debeljak, 2006). 4. Discussion Many authors have shown that the cessation of management in similar forest stands, with the same history of use, determines changes in the dendrological composition of trees in those stands (e.g. Kuuluvainen et al., 1996; Boncina, 2000; Uotila et al., 2001; Motta and Garbarino, 2003). Furthermore, deadwood generally increases with abandonment in a wide range of communities (e.g. Hansen et al., 1991; Kirby et al., 1991; Green and Peterken, 1997; Marage and Lemperiere, 2005; Lombardi et al., 2008; Castagneri et al., 2010; Calamini et al., 2011) and may contribute to soil nitrogen content (Harmon et al., 1986). In contrast, prior research has documented the general uncertainty regarding how abandonment influences the richness and composition of plant species (Graae and Heskjaer, 1997; Burrascano et al., 2009; Paillet et al., 2010). Most of the previous studies have either been conducted in areas outside of the Alps, such as boreal forested landscapes, or have not focussed on matched conditions, where the confounding effects of landscape heterogeneity was controlled. This study examined the extent to which abandonment, when compared between two forests where other confounded factors were controlled, improved soil quality, dendrological composition, vascular species richness and composition and the amount of deadwood. It was found that in mature stands of silver fir woodlands, 50 years of abandonment were associated with substantial increases in soil nitrogen, tree species richness and log and snag volume. In addition, dendrological and plant community composition significantly and homogenously changed due to an increase of proportion of beech and shade tolerant understory species. The former is confined to the intermediate and codominant layers where a large proportion of silver fir is also present, while the dominant layers consist of old silver fir and spruce trees; thus, the general structure is developing towards a two-layered forest type. Light needs were higher in the indicator species of the managed forest and were related to the lower degree of cover of the tree layer (Schmidt, 2005). These findings extend those of many previous studies (Boncina, 2000; Motta and Garbarino, 2003; Bianchi and Paci, 2008; Vrska et al., 2009), confirming that the management of silver fir woodlands has often led to the reduction of beech and other broadleaved species. This could be because they were frequently cut to produce firewood for mining purposes or because they were not economically important (Málek, 1981; Johann, 2007) compared to fir and spruce, as was the case in Cajada and Tovanella (Susmel, 1958; Lazzarini, 2006) and in the neighbouring Trento province (Ferrai and Mazzucchi, 1981). This study confirmed the importance of deadwood patterns in identifying different historical development in similar forest stands and that, among all deadwood types, logs in different decay and size classes can be used as an index to evaluate habitat continuity over recent times (Stokland, 2001). The changes noted in this study were unrelated to topographical, conditions and stand development. This study therefore indicates that the methodological benefits gained from matched conditions and sampling, combined with a mixed model analysis, may address the effect of abandonment across a wide range of forest communities. 5. Conclusions This study applies a combination of sampling design and analysis in the Alps with two biotic components. The results provide evidence that silver fir woodlands where logging has been abandoned for more than 50 years are changing spontaneously in their diversity due to an increase in tree species richness and changes in herbaceous composition, and they suggest that this approach may be effective for studying these processes in other kinds of forest communities as long as they are not strongly influenced by the neighbouring managed forest. T. Sitzia et al. / Forest Ecology and Management 270 (2012) 232–238 Some limitations of this study are worth noting. Although the main hypothesis was supported statistically, sampling should be extended to other biotic components (e.g. birds, insects, fungi and lichens) and case studies in order extend these results to the entire forested landscape of the Alps. Furthermore, as suggested by Paillet et al. (2010), future work should examine the effect at multiple time points since abandonment on the same study area to evaluate whether the effects of abandonment are retained in the long-term. Acknowledgements This project was supported by the Italian Ministry of Agricultural, Food and Forestry Policies, State Forestry Corps, within the framework of the research agreement No. 767/2008 with the University of Padova. The authors express their thanks to Giovanni Barazzutti, Simone Qualizza, Agata Scudo, Cristiana Colpi, Serena Marte, Andrea Sgarbossa and Thomas Zinato for their assistance in data collection and to Antonio Andrighetti and Franco Viola for their support coordinating the work. Appendix A. Supplementary data Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.foreco.2012.01.032. References Anderson, M.J., 2001. A new method for non-parametric multivariate analysis of variance. Aust. Ecol 26, 32–46. 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