The final publication is available at Springer via http://dx.doi.org/10.1007/s10531-009-9643-1 Anna Lorenza Maria Macagno1, Claudia Palestrini1 The maintenance of extensively exploited pastures within the Alpine mountain belt: implications for dung beetle conservation (Coleoptera: Scarabaeoidea) 1 Dipartimento di Biologia Animale e dell’Uomo, Università degli Studi di Torino, Via Accademia Albertina 13, 10123 Torino, Italy Email: [email protected] Abstract The abandonment of marginal areas and the decline of traditional small-scale cattle-breeding is bringing about substantial changes in many areas of the Alpine mountain belt. Extensively exploited pastures, which were colonized by typical ecological communities, are now being replaced by shrublands and forests. In this paper, we evaluate the effectiveness of the maintenance of small pastures for dung beetle (Scarabaeoidea: Geotrupidae, Aphodiidae, Scarabaeidae) conservation in a protected area of the north-western Italian Alps. From July until September 2007, we studied the dung beetle coenosis in the main habitats of the mountain belt: beech forest, scots pine forest, mountain pine forest and pasture. Twenty-three species were sampled. We compared abundance, species richness, α-diversity, evenness and species turnover between the four habitat assemblages and performed a correspondence analysis based on dominance patterns of the three families. Two main ensembles were identified: a pasture ensemble, highly diverse and dominated by Scarabaeidae, and a closed habitats ensemble, less structured and dominated by Aphodiidae and Geotrupidae. Combining habitat specificity and fidelity, the IndVal method showed that half of the species collected made a strong habitat selection toward pasture, while only C. granarius (Aphodiidae) was a reliable indicator of woody areas. We therefore conclude that the loss of extensively exploited pastures may bring about fundamental changes in dung insect communities. In protected areas, a management policy intended to preserve the traditional, sustainable human activities within the mountain belt is highly recommended for the conservation of these insects. Keywords Alps Conservation management policy Diversity Dominance pattern Evenness Habitat selection IndVal Species turnover Abbreviation FAG Beech (Fagus sylvatica L.) forest PAS Pasture PS Scots pine (Pinus sylvestris L.) forest PU Mountain pine (Pinus uncinata Mill. ex Mirb.) forest Introduction The impact of man has determined profound environmental modifications on the Alps. Six thousand years ago, portions of pre-existing forests and shrublands began to be cleared or burnt to increase the availability of open grasslands for livestock (Lichtenberger 1994). Pastoral activities have been practised ever since, shaping the alpine landscape and increasing the ecomosaic complexity below the timberline. Along with this gradual modification process, many plant and animal species took advantage of newly established habitats such as extensively exploited pastures, which were colonized by typical ecological communities (Wettstein and Schmid 1999; Chauchard et al. 2007; Negro et al. 2007). At the end of the nineteenth century, increasing industrialization gave rise to deep socio-economic changes that caused the abandonment of marginal areas and the decline of traditional small-scale agriculture, cattle-breeding and forest resource utilization. In Alpine regions, the ecological consequences of this process are evident mostly below the timberline, where grasslands are gradually turning into shrub and, eventually, forest. The abandonment of traditionally exploited environments such as meadows and pastures is leading to an impoverishment of their typical ecological communities (Laiolo et al. 2004): alpine biological diversity is therefore changing as a consequence of land use dynamics (Farina 1991; Giupponi et al. 2006). Coprophagous communities formed by lamellicorn beetles (Scarabaeoidea: Aphodiidae, Scarabaeidae, Geotrupidae) play a key role in ecosystems, especially in agro-ecosystems. By burrowing and decomposing animal wastes they actively participate in soil enrichment and nutrient cycling as well as secondary seed dispersal and parasite suppression (Fincher 1981; Martín-Piera and Lobo 1995; Nichols et al. 2008). Besides resource availability (Carpaneto et al. 2005), various environmental factors influence Scarabaeoidea distribution: soil type and moisture, elevation, exposure and vegetation structure (Halffter and Matthews 1966; Doube 1987; RomeroAlcaraz and Ávila 2000; Kanda et al. 2005; Jay-Robert et al. 2008a). There is therefore increasing interest in dung beetles as bioindicators of habitat transformation (e.g. McGeoch et al. 2002). It is assumed that these communities have been structuring along with gradual, man-driven smallscale landscape modifications (Verdú et al. 2007). Sudden environmental changes have nonetheless proven detrimental to them (Kanda et al. 2005). In Alpine regions, as in most of Europe, Scarabaeoidea are likely to be particularly affected by the decline of traditional livestock raising (Jay-Robert et al. 2008b). This process may bring about deep changes in dung beetle communities (Borghesio et al. 2001) because it deprives them of food resources which used to be supplied by domestic livestock in the past and force them to be increasingly dependent on usually scarce wild mammal populations (Lumaret 1990; Biström et al. 1991; Jay-Robert et al. 2008b). Over the past 20 years, there has been a strong debate on whether management and protection policies of Alpine areas should aim to restore the wilderness by completely removing human influences (Zunino 1980; Broggi 1995) or to protect and maintain traditional land mosaics that include relicts of natural vegetation along with low-impact, sustainable land use (Höchtl et al. 2005). Mont Avic Natural Park (Aosta Valley, N–W Italian Alps), where the study presented in this paper took place, chose the second type of management policy. In this protected area, organic farming (Milestad and Hadatsch 2003) is supported and maintained by farm subsidies (Broglio 1996). The traditional landscape mosaic is maintained by means of low-impact grazing practices, particularly within the mountain belt (i.e., areas between 1,000 and 1,500 m a. s. l., which underwent a gradual landscape modification after the introduction of cattle-breeding, thanks to the creation of open areas to be used as pastures). The present study was conducted during the summer of 2007 and examined the coprophagous entomofauna within the Mont Avic Natural Park mountain belt, with the aim of: 1. Providing a detailed analysis of the structure of dung beetle assemblages (Scarabaeoidea: Geotrupidae, Aphodiidae, Scarabaeidae) living in the main habitats below the tree line, namely beech forest, scots pine forest, mountain pine forest and pasture. 2. Highlighting patterns of habitat selection at both family and species level. Combined, these approaches allowed us to assess the relative contribution of natural and extensively exploited habitats (pasture) to overall dung-beetle diversity. Results therefore allowed to test the effectiveness of the maintenance of small pastures, through the encouragement of traditional small-scale livestock raising, for the conservation of these insects. Materials and methods Study area and sampling design Mont Avic Natural Park (Aosta Valley, N–W Italian Alps: Fig. 1) was instituted in 1989 with the aim of achieving biodiversity conservation by rationalizing the management of agro-pastoral activities traditionally conducted in the area through a “sustainable development” approach (Palestrini et al. 2007–2008). Today, the entire protected area encompasses 5,747 ha along an altitudinal gradient that ranges from valley floors (~600 m a. s. l.) to 3,185 m a. s. l. Previous studies on the coprophagous entomofauna of the Park and the adjacent areas of Val Chalamy (Barbero et al. 1994; Palestrini et al. 2007–2008) involved faunistic surveys covering all altitudinal zones: the hill belt (<900 m), the mountain belt (900–1,500 m), the subalpine belt (1,500–2,200 m), the lower alpine belt (2,200–2,600 m) and the nival belt (>2,600 m). The present study took place in the mountain belt of Val Chalamy. Four sampling sites where identified within the main habitats below the tree line in the area: beech (Fagus sylvatica L.) forest, scots pine (Pinus sylvestris L.) forest, mountain pine (Pinus uncinata Mill. ex Mirb.) forest and pasture, hereafter referred to as FAG, PS, PU and PAS, respectively. A transect made of six pitfall traps spaced 20 m apart and baited with 150 g fresh cow dung suspended in gauze (model CSS in Lobo et al. 1988) was positioned at each site. Based on findings about the effect of landscape matrix and vegetation openness on paleartic dung beetle diversity (e.g. Lumaret and Kirk 1991; Roslin and Koivunen 2001; Numa et al. 2009), a characterization of sampling sites was conducted by analyzing the vegetation structure within a buffer of 100 m from the transects (Cremonese et al. 2007) (Fig. 1). PS (Utm ED50 391373, 5059947). Located near La Voella, 1410 m a. s. l. on the south facing slope of Val Chalamy, the site has a total plant cover of 70%. It is a dense scots pine forest with associated undergrowth of Rhododendron ferrugineum L., Juniperus communis L. and Vaccinium myrtillus L. covering approximately 60% of the soil beneath the trees. PU (Utm ED50 390355, 5059453). Also on the south facing slope of Val Chalamy, near locality Magazzino, the site is 1,502 m a. s. l. and is dominated by mountain pines, associated with rare scots pines and hybrids. The total plant cover is of 60%. The undergrowth (of which representative plants are Juniperus communis L., Arctostaphylos uva-ursi (L.) Spreng., Antennaria dioica (L.) Gaertn., Rhododendron ferrugineum L., Vaccinium sp. and Calluna vulgaris (L.) Hull) covers 90% of the soil beneath the trees. FAG (Utm ED50 394210, 5059329). The site is located near the village of Boden, 1,050 m a. s. l. on the north facing slope of Val Chalamy. It is a beech forest with a total plant cover of 90% and little to no undergrowth. Small associations of Betula pendula Roth, Corylus avellana L., Populus tremula L. and Populus nigra L. are scattered within the main forest. PAS (Utm ED50 394432, 5059224). Also on the north facing slope of Val Chalamy, the site is a small herbaceous area (0.8 ha) located 1,002 m a. s. l. near the village of Gettaz. It was subjected to 1-month-long grazing activity before sampling began and was never visited by cattle afterward. The site is surrounded by patches of mixed broad-leaf woodland dominated by beech and other small pastures that are regularly grazed by cattle at the beginning of the summer. The minimum distance from two traps belonging to different transects was 250 m (PAS-FAG). To evaluate differences between habitats, transects were carefully located in an east-facing position to minimize the effect of exposure, which has recently proven highly effective in shaping dung beetle community patterns (Jay-Robert et al. 2008a). The trapping period lasted from July 14th to September 29th 2007. All traps were emptied and re-baited every week on the same day. Trapped beetles were counted and identified to species level using standard keys (Martín-Piera and LópezColón 2000; Dellacasa and Dellacasa 2006). Data analysis A completeness analysis of sampling in each habitat studied was conducted by preliminarily computing an abundance-based richness estimator (ACE) with EstimateS 8.0.0 (Colwell 2006), and then measuring inventory completeness as the percentage of species observed from the total number of species predicted by the estimator (Verdú et al. 2007). Samples collected at each trap were characterized by computing parameters that included species richness (S), abundance (A) and α-diversity (αDIV: Shannon–Wiener) indexes. Data were normalized log(αDIV + 1)] prior to analysis. Differences between habitats were assessed holding habitat as fixed factor and controlling for phenology-induced variations by fitting sample date as random factor in a two-way ANOVA. Least-squares deviation (LSD) posthoc tests were used for pair-wise habitat comparisons. Two or more assemblages may have the same α-diversity values without necessarily having the same species composition and evenness. The species turnover among habitats was therefore quantified using the β-diversity Whittaker’s index (Magurran 2004): β w = (S/a)−1, where S is the total number of species and a is the average number of species in compared assemblages. Whittaker’s index varies between 0 (identical species composition) and 1 (completely different species composition) (Whittaker 1960). Changes in evenness among habitats were first inspected by plotting log-transformed abundances of beetles against species rank and then fitting to the distributions the log-linear Motomura’s model (Motomura 1932): log(N) = a × R + b, where N is the abundance of a collected species and R is the rank of the same species. Kolmogorov-Smirnov tests on linear regression residuals were carried out to test for the adjustment of the model. The higher the slope the more the assemblage is dominated by a single abundant species (Errouissi et al. 2004; Magurran 2004): angular coefficients of regression lines can be therefore interpreted as an evenness proxy. After testing for homoscedasticity with a Levene test (Levene 1960), comparisons of angular coefficients between habitats where carried out by checking the significance of interaction of log(N) and species rank with an ANCOVA (Engqvist 2005). To highlight the dominance patterns in each habitat, beetles trapped on each sample day in the same habitat were pooled and a Correspondence Analysis (CA) with the relative abundances of subfamilies was carried out (Jay-Robert et al. 2008a). The IndVal (Indicator Value) method (Dufrêne and Legendre 1997) was then used to assess characteristic species of the studied habitats. The IndVal of a single species is expressed as the product of specificity and fidelity measures. It reaches its maximum (=100) when all individuals of a species are found in a single habitat type (high specificity) and occur at all pitfall traps in that habitat (high fidelity) (Dufrêne and Legendre 1997). This approach generates a significant value for the strength of association by using a randomized re-sampling technique (Monte Carlo randomization with 5000 permutations). The IndVal method needs a preliminary classification of sample sites: in this case a dendrogram was constructed on the basis of the abundance of each species per habitat by means of a Euclidean-distance single-link hierarchical clustering. Statistical analyses were performed with SPSS 13.0, STATISTICA 6.0 and Program IndVal v. 2.1 (Dufrêne 2004). Results A total of 4,538 beetles belonging to 23 species were caught during the study period (Table 1). This accounted for 82% of the dung beetle species found in the entire protected area (Palestrini et al. 2007–2008). Results of the completeness analysis of sampling showed that the sampling effort was adequate in all habitats: our inventories were more than 90% complete in FAG and PU, while over 80 and 70% of the expected species richness according to the ACE estimators were recorded in PAS and PS, respectively (Table 1). Habitat effect on community parameters The four habitat categories showed significant differences in terms of species abundance, richness and α-diversity (Table 2). Pasture obtained the highest mean values of all indexes, and LSD posthoc pair-wise tests showed that they were significantly different from the ones found in closed habitats. Wooded habitats were not significantly different as far as richness and α-diversity were concerned. The only difference arose when abundances were compared, with a larger number of individuals living in beech forest than in scots or mountain pine forests. Sampling date significantly affected α-diversity (F 11,33.59 = 3.18, P < 0.01) and species richness (F 11,33.42 = 2.75, P < 0.05), but not abundance (F 11,33.10 = 1.04, P = 0.44). Samples conducted in the second half of September had the smallest Shannon–Wiener and species richness mean values. Species turnover Species turnovers between habitats are reported in Table 3. Although Whittaker’s indexes are not conspicuous, as expected on a small landscape scale, it is nonetheless noteworthy that the highest values are found in the comparisons between pine forests and pasture. Instead, beech forest is comparably different from both pasture and pine forests, as far as species composition is concerned. Motomura’s geometric series Kolmogorov-Smirnov tests confirmed that the adjustment to Motomura’s geometric series model was statistically correct in all habitats (PAS: y = 2.85−0.13x, R 2 = 0.94, d = 0.17, P > 0.20; FAG: y = 2.64−0.20x, R 2 = 0.96, d = 0.18, P > 0.20; PS: y = 2.73−0.27x, R 2 = 0.95, d = 0.14, P > 0.20; PU: y = 2.71−0.27x, R 2 = 0.95, d = 0.19, P > 0.20). The four regressions had homogeneous variances (Levene test: F 3,52 = 0.26, P = 0.86). Slope comparisons are given in Fig. 2. As shown, pasture assemblage obtained the highest evenness and pine forests the lowest; all closed habitat assemblages are organized with fewer predominant species than pasture. Dominance patterns In the correspondence analysis reported in Fig. 3, axis 1, which accounted for 85.29% of inertia, opposed the assemblages dominated by Aphodiidae to those dominated by Scarabaeidae, whereas axis 2 distinguished assemblages with increasing Geotrupidae abundance. Samples collected in pasture were clearly differentiated from those collected in forested habitats along axis 1, showing that pasture assemblages had higher percentages of Scarabaeidae throughout the study period. By comparison, closed habitats were mostly dominated by Aphodiidae and Geotrupidae and showed an extensive degree of overlap: in these samples, Aphodiidae were consistently more numerous, and were outnumbered by Geotrupidae only in the sample collected in scots pine forest on July 21st. Indicator species The hierarchical clustering conducted on the basis of Scarabaeoidea assemblage composition (Fig. 4) identified the three forested habitats as strictly associated, with the two pine forests being closely related. With the IndVal methodology, no indicator species for any of the three categories of forest were found. Instead, Calamosternus granarius (Aphodiidae) was assessed as a good indicator of forested habitats. Pasture, on the contrary, was clearly differentiated from closed habitats, and was significantly selected by 11 species (1 Geotrupidae, 4 Scarabaeidae, 6 Aphodiidae). Finally, 5 species (3 Geotrupidae, 2 Aphodiidae) were assessed as generalists with respect to the considered habitats (Fig. 4). Discussion Comparisons of community parameters showed that pasture sustained a dung beetle assemblage which was clearly more diverse than those of closed habitats, with a higher number of both species and individuals. This result was not biased by patterns of phenological variation because the date of sampling was incorporated in the analysis. It is noteworthy that, although Scarabaeoidea diversity has been related to altitudinal gradient (Romero-Alcaraz and Ávila 2000; Jay-Robert et al. 2008a), in our case these differences were detected not only in comparisons between pasture (1,000 m a. s. l.) and pine forests (1,400–1,500 m a. s. l.), but also when pasture and beech forest, which are approximately at the same altitude, were compared. Possible elevation-driven differences were only found when comparing abundances between closed habitats: a larger number of individuals were collected in beech forest than in scots or mountain pine forests. Since the abundance of dung beetles in a given site strongly depends on the quantity of trophic resources available (Lumaret et al. 1992), it is likewise possible that beech forest sustains higher numbers of dung beetles due to the presence of wild ungulates such as wild boars (Sus scrofa), which are common in broad-leaved woodlands of the study area (Regione Autonoma Valle d’Aosta 2008). The analysis of species turnover provided further evidence that pasture was substantially differentiated from closed habitats. Since Whittaker’s index takes into account the presence/absence of each species (Magurran 2004), this outcome was influenced substantially by the fact that 8 out of the 23 species collected during the entire sampling period (4 Scarabaeidae, 4 Aphodiidae, see Table 1) were only found in pasture. While the species turnover between pine forests was negligible, the species turnover between beech forest and pine forests and between pasture and beech forest was of approximately the same extent. Therefore, in this area the turnover between open and closed habitats at the same elevation was comparable with variation in species composition occurring along an altitudinal gradient of approximately 500 m within closed habitats. This result further supports the idea that, in the Alps, the maintenance of pastures below timberline is crucial to dung beetle biodiversity conservation. A pattern of resource partitioning that arises from the mechanism of niche pre-emption (He and Tang 2008) is frequently found in harsh ecosystems, where individuals compete for access to scarce resources, and has been therefore successfully employed to explain the species-abundance distributions of several dung beetle assemblages that rely on typically ephemeral resources (Lumaret and Iborra 1996; Galante and Cartagena 1999; Errouissi et al. 2004). Motomura’s rankabundance geometric series is an indicator of the evenness of assemblages arising from such a mechanism, by which a sequential colonization of species is assumed: the first species that colonizes the assemblage pre-empts the first k fraction of the total resource; the second species takes the k fraction of the remainder, and this partitioning process continues until the entire niche space is filled. The more evenly structured the assemblage, the less steep the slope of the rankabundance distribution (He and Tang 2008). As expected, the rank-abundance distribution was adequately explained by Motomura’s geometric series in all the habitats considered in this study. However, pasture obtained the lowest slope, which indicates that it sustained an assemblage that was significantly more evenly structured than the ones in forested habitats. The latter were characterized by a few dominant species which appropriated most of the trophic resources, although dominance was higher in pine forests than in beech forest: this may be additional circumstantial evidence that beech forest provides a larger amount of resource for dung beetles than pine forests. Patterns of dominance of the three families in different habitats agreed with previous findings on Scarabaeoidea habitat selection (Wassmer 1995; Barbero et al. 1999; Jay-Robert et al. 2008a). While assemblages of forested habitats were substantially dominated by Aphodiidae, the percentage of Scarabaeidae increased significantly in pasture samples. We suggest that this pattern of habitat selection could be driven, at least partially, by the pedotrophic behavior of the species. Contrary to Scarabaeidae and Geotrupidae, which typically lay their eggs in nests or egg chambers within tunnels under the dung pad (paracoprid behavior: Hanski and Cambefort 1991), most of Aphodiidae oviposit directly within dung pats (endocoprid behavior: Hanski and Cambefort 1991). Due to these life history traits, Lobo and Martín-Piera (1999) suggested that Aphodiidae may be more subject to environmental heterogeneity, and therefore be more habitat specialist than Scarabaeidae and Geotrupidae. Furthermore, we suggest that endocoprids may favor closed habitats because shading slows down the dehydration rate of food resources available for free-living larvae, while paracoprid behavior may make the colonization of open habitats easier. This hypotheses was also supported by the IndVal analysis. As a matter of fact, only two (V. sticticus, A. fimetarius) out of 11 pasture indicator species were typical endocoprids (Aphodiidae T. fossor and C. erraticus have an underground nesting behavior: Zunino and Barbero 1990; Zunino et al. 1994; Dellacasa and Dellacasa 2006. R. foetens and S. porcus are cleptocoprids of the brood masses of Geotrupidae: Paulian and Baraud 1982; Barbero pers. obs.). Similarly, 4 out of the 5 species that were assessed as generalists (i.e., the ones that were found in most of the traps set in the four habitats during the entire study period) nest in the soil underneath the dung pad (A. rufipes: Klemperer 1980; Dellacasa and Dellacasa 2006. B. rufa: Borghesio and Palestrini 2002). On the other hand, the only species that showed a strong selection toward closed habitats (C. granarius, Aphodiidae) is known to have saprophyte habits (Dellacasa and Dellacasa 2006) and may therefore take advantage of the higher degree of humidity in forested areas. A comprehensive faunistic study of the dung beetle community of Mont Avic Natural Park has been ongoing since 1993 (Barbero et al. 1994; Palestrini et al. 2007–2008). Considering that over 80% of the Scarabaeoidea species recorded in the entire protected area were collected for the present study in a single year, the mountain belt emerges as particularly important for the conservation of Scarabaeoidea communities in this Alpine region. Since there is a limiting effect of environmental conditions at extremely low and high altitudes (Jay-Robert et al. 1997), the mountain belt, which lies at intermediate altitudes, could favor contact between faunas of low and high altitudes. Moreover, dung beetles are influenced by complex interactions between various environmental factors such as resource availability, soil type and moisture, elevation, exposure and vegetation structure (Halffter and Matthews 1966; Doube 1987; Carpaneto et al. 2005; Kanda et al. 2005; Jay-Robert et al. 2008a). Their diversity is thus expected to peak in areas with diversified land mosaics (Verdú et al. 2007). In this study, we consistently detected small, but significant differences in comparisons between dung beetle assemblages typical of beech and pine forests. However, these differences are negligible when compared with the ones between pasture and forested areas. Our analyses therefore contributed to the identification of two main dung beetle ensembles (Fauth et al. 1996): a pasture ensemble, highly biodiverse and dominated by Scarabaeidae, and a closed habitats ensemble, less structured and dominated by Aphodiidae and Geotrupidae. Moreover, nearly half of the species collected showed a strong habitat selection toward pasture, while only one species preferred forested areas (independently from forest type). Therefore, we conclude that the loss of extensively exploited pastures within the mountain belt of Alpine regions may bring about fundamental changes in dung insect communities. The maintenance of mountain pastures has been shown to help other faunal groups besides dung beetles: for example Laiolo and Rolando (2005) showed that birds typical of ecotone habitats favor forest plots located at the border of pastures, a positive edge effect (Odum 1971) that never occurs in transitions between forests and intensively altered open areas such as sky runs. Furthermore, pastures within forested areas are colonized by species that are typical of open habitats, such as many Orthoptera and Lepidoptera (Dolek and Geyer 1997; Wettstein and Schmid 1999); in areas with a long history of land use by humans, the persistence of many species depends upon an appropriate regulation of land use in the landscape mosaic (Verdú et al. 2007). We can therefore conclude that, in Alpine regions, low-impact grazing activities below the timberline should be maintained, given its appropriate management and protection policies. To achieve this goal, protected areas should adopt specific grazing plans (Gusmeroli 2004; Gusmeroli et al. 2005). Avoiding the problems connected with intensive agricultural management (Hutton and Giller 2003) and overgrazing (Dolek and Geyer 1997; Gusmeroli 2004; Negro et al. 2007), this approach will help maintain ecomosaic complexity and will enhance the species turnover rate across habitats (Halffter 2002), eventually conserving biodiversity through sustainable land use. Acknowledgments We are grateful to Claudia Tocco, Teresa Petrone and Elio Cannarsa, who contributed to fieldwork and beetle identification; Matteo Negro, Enrico Caprio and Sergio Castellano for discussions and useful suggestions on data analysis; Enrico Barbero for assistance with beetle identification; Angela Roggero, who helped with lab facilities, and two anonymous reviewers that helped us improve an earlier version of the manuscript. 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Distribution of cover types are shown Table 1 Specimens sampled and total number of species expected for each habitat according to the abundance-based richness estimator (ACE) No. individuals trapped Species PS PU FAG PAS Geotrupidae Anoplotrupes stercorosus (Scriba, 1796) 143 55 132 68 Geotrupes spiniger (Marsham, 1802) 11 13 13 51 Geotrupes stercorarius (Linnaeus, 1758) 7 8 3 124 Euoniticellus fulvus (Goeze, 1777) – – – 59 Onthophagus coenobita (Herbst, 1783) – – 2 1 Onthophagus fracticornis (Preyssler, 1790) 15 8 29 1,081 Onthophagus joannae (Goljan, 1953) – – – 114 Onthophagus taurus (Schreber,1759) – – – 32 Onthophagus vacca (Linnaeus, 1767) – – – 2 Acrossus depressus (Kugelann, 1792) – – 23 4 Acrossus rufipes (Linnaeus, 1758) 275 256 563 445 Aphodius fimetarius (Linnaeus, 1758) – – – 61 Bodilopsis rufa (Moll, 1782) 49 191 61 142 Calamosternus granarius (Linnaeus, 1767) 41 27 24 2 Colobopterus erraticus (Linnaeus, 1758) – – – 30 Limarus zenkeri (Germar, 1813) 52 45 92 30 Otophorus haemorrhidalis (Linnaeus, 1758) – – – 1 Parammoecius corvinus (Erichson, 1848) 1 1 – 1 Planolinus fasciatus (Oliver, 1789) 1 – 1 1 Rhodaphodius foetens (Fabricius, 1787) – – – 14 Sigorus porcus (Fabricius, 1792) – – 1 13 Teuchestes fossor (Linnaeus, 1758) – – 3 50 Volinus sticticus (Panzer, 1798) – – 16 50 Total abundance 595 604 963 2,376 Observed species richness 10 9 14 23 ACE 14.07 9.52 15.25 28.14 Inventory completeness (%) 71.07 94.54 91.80 81.73 Scarabaeidae Aphodiidae Inventory completeness is observed richness as a percentage of total expected richness (ACE) Table 2 Mean ± SE of alpha diversity (Shannon Wiener), species richness and abundance of Scarabaeoidea assemblages per habitat PS PU FAG PAS Habitat effect Alpha diversity 0.71 ± 0.06a 0.76 ± 0.06a 0.77 ± 0.06a 1.32 ± 0.04b F 3,33.86 = 18.03* Abundance 8.88 ± 0.85d 8.51 ± 0.93d 15.53 ± 2.03e 34.94 ± 3.39f F 3,33.15 = 9.01* Species richness 2.67 ± 0.20g 2.66 ± 0.18g 3.16 ± 0.26g 6.25 ± 0.25h F 3,33.62 = 28.94* Inter-habitat differences were tested with a two-way ANOVA holding sample date as a random factor Least-squares deviation (LSD) post-hoc tests were used for pair-wise comparisons of means. Within each line values followed by the same letter are not significantly different from each other (P > 0.05) * P < 0.01 Table 3 Beta diversity (β w) PS PU PU FAG 0.05 FAG 0.25 0.30 PAS 0.39 0.44 0.24 Species turnovers (Whittaker’s index) between habitats are reported Fig 2. Rank-abundance plot. The lower the slope of each regression line, the greater the evenness of the assemblage. Results of pair-wise comparisons between habitats are given in the table Fig. 3 Correspondence analysis of dung beetle assemblages as a function of relative percentages of families sampled. Beetles trapped in the same habitat on each sample day were pooled for the analysis. Axis 1 opposes the assemblages dominated by Aphodiidae (mostly sampled in forested habitats) to those dominated by Scarabaeidae (exclusively collected in pasture). Axis 2 distinguishes assemblages with increasing abundance of Geotrupidae Fig. 4 Indicator species associated with different nodes of the habitat cluster. Euclidean linkage distances are reported. The indicator value (0–100) is given in parentheses. All species presented are significant indicators (P < 0.05)
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