Eur J Wildl Res DOI 10.1007/s10344-014-0862-8 ORIGINAL PAPER Living above the treeline: roosting ecology of the alpine bat Plecotus macrobullaris Antton Alberdi & Joxerra Aihartza & Ostaizka Aizpurua & Egoitz Salsamendi & R. Mark Brigham & Inazio Garin Received: 11 June 2014 / Revised: 12 September 2014 / Accepted: 22 September 2014 # Springer-Verlag Berlin Heidelberg 2014 Abstract Little is known about the alpine bat community, but recent studies suggest that the alpine long-eared bat, Plecotus macrobullaris, commonly forages in alpine habitats, although most of its known roosting records are from locations situated below the treeline. Aiming to contribute to resolving this seemingly contradictory pattern of ecological preferences of P. macrobullaris, we carried out a radio-tracking study to (1) identify its roosts and unveil its roosting habitat preferences, (2) determine whether bats found foraging in alpine habitats do actually roost and breed in such high-mountain environments, and (3) test if any elevation-related sexual segregation occurs. We captured 117 alpine long-eared bats and radiotracked 37 individuals to 54 roosts located at elevations between 1,450 and 2,430 m, 46 of them above the treeline. Bats used rock crevices (30 roosts), scree deposits (21) and buildings (3) for roosting, and most lactating and pregnant females relied on crevices. Bats selected areas with high meadow availability near the roost, while avoiding densely forested areas. Foraging areas and roosting sites were located at the same elevation, indicating that alpine long-eared bats use alpine areas for both roosting and foraging in the Pyrenees. Breeding females roosted at lower elevations than nulliparous females and males, though they remained above the treeline. Although being considerably different to the ecological preferences described so far in the Alps, the roosting behaviour we observed was consistent with some ecological traits, namely Communicated by C. Gortázar A. Alberdi (*) : J. Aihartza : O. Aizpurua : E. Salsamendi : I. Garin Department of Zoology and Animal Cell Biology, Faculty of Science and Technology, University of The Basque Country UPV/EHU, Leioa, The Basque Country, Spain e-mail: [email protected] R. M. Brigham Department of Biology, University of Regina, Regina, Canada foraging and trophic behaviour, of P. macrobullaris, as well as its distribution pattern linked to mountain regions. Keywords Alpine long-eared bat . Mountain long-eared bat . Pyrenees . Radio-tracking . Sexual segregation . Scree deposits . Thermoregulation Introduction The diversity and activity of chiropterans in alpine environments may have been underestimated thus far (Alberdi et al. 2013). Elevation-gradient diversity and abundance studies have shown that chiropteran diversity and activity decreases above mid-elevations (Holzhaider and Zahn 2001), which may have led many elevation-related diversity studies to overlook the alpine belt (Holzhaider and Zahn 2001; Pavlinic and Tvrtkovic 2004). However, some recent studies have shown that bats do exploit alpine environments (Barataud 2005; Alberdi et al. 2013). Although more than a dozen species have been captured or detected above the treeline in Europe (Aellen 1962; Barataud 2005; Alberdi et al. 2013), there are few known roosting records. The particular physiological requirements of bats most likely hamper them from roosting at high elevation. For instance, pregnant and lactating females cannot take advantage of deep torpor, presumably in order to speed foetal and neonatal development (Dzal and Brigham 2012). It appears that the majority of bats found in alpine environments are primarily lowland species that occasionally commute to higher elevations when conditions become favourable (Michaelsen 2010) or use alpine environments as commuting routes (Aellen 1962; Alberdi et al. 2012a). Nevertheless, detailed information about the spatial and temporal dynamics of bats in alpine habitats is still largely unknown. The alpine long-eared bat, Plecotus macrobullaris (Kuzjakin, 1965), stands out among the bat species reported Eur J Wildl Res in European alpine environments. More than two thirds of the bats captured in European supraforestal habitats by Alberdi et al. (2013) were P. macrobullaris. The study did not identify the pattern of elevation-related sexual segregation reported for many other species (Cryan et al. 2000; Russo 2002), and instead, breeding females were captured up to 1,000 m above the treeline (Garin et al. 2003). Additionally, molecular analysis of diet showed that P. macrobullaris forage in alpine habitats rather than only using them for commuting (Alberdi et al. 2012b). However, depending on the geographic area, the elevation range of P. macrobullaris spans from sea level up to 2,800 m (Alberdi et al. 2013), and this species has been found in habitats other than alpine grounds. Two studies carried out in Switzerland identified a preference towards deciduous forest environments (Rutishauser et al. 2012; Ashrafi et al. 2013), while a population studied in Italy was shown to avoid woodlands (Preatoni et al. 2011). The species has also been captured in semi-arid steppes and other scarcely vegetated areas (Shehab et al. 2007; Benda et al. 2008). Similarly, current understanding of the roosting ecology of P. macrobullaris is still inconclusive. Most known roosting locations are from the Alps, where the species is commonly found in buildings below the treeline (Presetnik et al. 2009; Mattei-Roesli 2010; Rutishauser et al. 2012), corresponding to the reported use of woodlands as foraging grounds in these areas. However, the species has also been captured in the alpine belt of several mountain ranges in Europe, far from woodlands and where buildings are very scarce (Alberdi et al. 2013). These observations suggest that P. macrobullaris may use other types of roosting resources, similar to those used by other alpine vertebrates. Several alpine birds rely on boulders, crevices and ledges for nesting, and a small number also take advantage of caves (Cramp et al. 1994). Small terrestrial mammals usually shelter in rock or stone stacks such as scree deposits (Luque-Larena et al. 2002), whereas large mammals tend to shelter close to steep cliffs (Villaret et al. 1997). Roosting at high elevations would allow bats to be closer to their foraging grounds, but lower temperatures may limit breeding females, which are prevented from entering into deep and long torpor when gestating or nursing their pups (Dzal and Brigham 2012). Conversely, roosting at lower elevations would probably offer females better climatic conditions, but they would have to fly greater distances when commuting between roosting and foraging sites. Finally, an important factor that must be taken into account is the substantially lower detectability of bats that roost in natural rock crevices compared to animals sheltering in caves, and even more so in buildings, which are commonly examined for research and conservation purposes. In fact, most P. macrobullaris colonies sheltering in buildings have been discovered as a result of extensive building monitoring programmes (Mattei-Roesli 2010), which may have led to a biased view of the actual roosting preferences of the species. No study to date has focused on the roosting ecology of P. macrobullaris, and therefore the relative frequency of different roost types remains unknown. In order to elucidate the roosting ecology of alpine P. macrobullaris during the breeding season, we identified the roosting locations and determined the types of roosts used by individual alpine long-eared bats using radio-tracking. We tested whether (1) bats select any specific habitat for setting their roosts, (2) if elevation differences exist between foraging and roosting sites and (3) if any elevation-related sexual segregation occurs in their roosting behaviour. This information will allow us to assess whether Pyrenean P. macrobullaris exhibit a mid-elevation anthropophilic roosting pattern similar to that depicted in the Alps, or conversely, if they behave in a similar manner to alpine species that both forage and roost in the alpine belt. Methods Fieldwork This study was performed in July and August 2012, in eight valleys scattered throughout the Pyrenees (Fig. 1). The Pyrenees mountain chain separates the Iberian Peninsula from continental Europe with elevations ranging from 500 to 3,400 m amsl. Nets were set following the technique of Alberdi et al. (2013) in 18 sparsely vegetated meadow locations with elevations ranging from 1,550 to 2,370 m, the range at which 95 % of known records in the Pyrenees are found (Alberdi et al. 2013). Captured bats were identified in the field using morphological characteristics (Dietz and Helversen 2004). Bats were sexed and aged by visual inspection, with lactating females identified by the production of milk after gentle pressure on the mammary glands. Bats weighing 8–12 g were fitted with 0.35 g radio transmitters (PipII, Biotrack Ltd., Dorset, UK) and released at the site of capture within 20 min of being caught. We tracked the tagged bats to diurnal roosts for 8 days, except on the first day after tagging, as often as accessibility made it feasible. Based on the species’ reported foraging range (Arthur and Lemaire 2009; Preatoni et al. 2011), a radius of at least 10 km from each capture location was surveyed, mainly on foot in areas far from roads or vehicle tracks. We searched for signals from bats in roosts at elevations ranging from 1,200 to 2,950 m, covering the montane (dense deciduous and/or coniferous forest), subalpine (sparse trees) and alpine (meadows and sparsely vegetated areas) belts. Exact roost locations were recorded using GPS devices (Oregon 550, Garmin, Kansas, USA). Eur J Wildl Res Fig. 1 Geographic location of the eight valleys where P. macrobullaris individuals were captured and tracked in the Pyrenees Data analysis Radio-tracked bats were grouped into three classes based on sex and reproductive condition: breeding (lactating and pregnant) females, nulliparous females and males. Roost types were classified into four categories: crevices, caves, scree deposits and buildings. Rock fractures or fissures up to 20 cm wide, regardless of whether they occurred in large cliffs or boulders, were classified as crevices. We defined scree deposits as accumulations of rock fragments at the base of cliffs, composed mainly of rocks about 10–80 cm in diameter. Roosts in fissures of boulders within scree deposits were considered as crevices. We characterised each roost using the following variables: elevation, distance to the capture site (capture distance) and elevation difference relative to the treeline in each area (treeline difference). We tested whether data were normally distributed with the Shapiro-Wilk test and determined homogeneity of variances using Levene’s test. Parameters that fulfilled both assumptions were analysed using one-way ANOVA (α=0.05), and the Tukey method was used for post hoc multiple test comparisons. For parameters that did not fulfil the assumption of normality, we used the nonparametric Kruskal-Wallis test and Wilcoxon signed rank test (for pairwise comparisons). We analysed eight habitat variables to test for habitat selection and compared our results with the published literature. We calculated the relative area of each habitat type in two predefined radii around each roosting site: r=1,300 m to obtain comparable results with that of Rutishauser et al. (2012), and r=2,900 m, which is the average distance recorded between the capture sites and roosting sites in this study. The studied variables were the relative area in percentages of (1) deciduous forest, (2) mixed forest, (3) coniferous forest, (4) open forest, (5) shrubbery, (6) orchards and (7) meadows. Following (Rutishauser et al. 2012), we also calculated the landscape diversity based on four landscape types (settlement, forest, shrubbery and meadows). Correlation between variables was assessed using Spearman’s rank correlation coefficient (ρ) and ensured that all pairwise values were below 0.5 (Kutner et al. 2004). All roost locations were compared to a random set of locations generated within the study area. We used a chi-square goodness-of-fit analysis to test whether habitat composition around roosts was significantly different from random. The habitat selection analysis was developed using generalised linear models (GLM) with a binomial error distribution and a logit link function (logistic regression models). In order to estimated the availability of different roost types, we calculated the relative surface of rocky areas and counted the number of buildings in the 10-km-radius area. Land cover data used for obtaining the variables for the habitat selection analysis and the relative rock cover were obtained from Corine Land Cover 2006 (http://sia.eionet.europa.eu/CLC2006), while the cartography of buildings was obtained from the Territorial Information System of Aragón SITAR (http://sitar.aragon.es/) and the Cartographic Institute of Catalunya ICC (http://www. icc.es/). Since availabilities of different roost types were not comparable at the unit level—e.g. scree and rock walls vs. buildings—their availability at different elevations was assessed by probability density functions. We generated kernel density estimations (KDE) of available buildings and rocky areas across the elevation range using the density function available in R package STAT (Deng and Wickham 2011), and plotted with the KDE of the employed roosts to obtain a visual reference of roost availability with respect to elevation. Roost fidelity (FR) was calculated using the following equation: FR ¼ n X Ri−1 Pi−1 i¼1 where Ri is the number of different roosts used by the bat i, Pi is the number of records for the bat i, and n is the total Eur J Wildl Res number of bats in the sample. FR, therefore, ranges from 0 to 1 and reflects the probability of roost switching each day, with the highest values indicating high lability (1=switches every day) and low values indicating high fidelity (0=same roost everyday). All spatial and statistical analyses were performed using GIS software ArcView 3.2 and R 2.9.2 (http://cran.rproject.org/). Results We captured 147 bats at 16 netting sites, 117 of them (79 %) being alpine long-eared bats (Table 1). We radio-tagged 51 animals and were able to identify the roosts of 37 (72 %): 8 breeding females, 12 nulliparous females and 17 males for an average of 3.4±0.81 location points during the 8-day sampling period. The total radio-tracking effort amounted to 178 person-days. Roost types We identified 54 roosts, averaging 2.2±0.85 roost per bat (several tracked bats shared the same roosts). P. macrobullaris used three of the four defined roosts categories: crevices (n= 30), scree deposits (21) and buildings (3). Roosts were located between 1,450 and 2,430 m amsl. The crevices used by bats were located in various types of rock structures. Bats used crevices on both sunny south faces and shaded north faces with snowfields nearby (10–15 m). Males roosted in scree deposits more often than females, yet five females were also tracked to these locations, including a pregnant female found roosting in a scree deposit for a single day. At these deposits, bats were found alone under average-sized stones (Fig. 2c). The three building roosts (5.5 % of all roosts) housed maternity colonies comprising 10–15 individuals. The buildings were in relatively good condition, and the colonies were located in narrow spaces between wall stones or in the rafters. The three buildings were solitary structures surrounded by natural habitats (Table 2). Habitat selection and roost availability The chi-square goodness-of-fit analysis showed that roosts were not located randomly in relation to surrounding habitat types (X2 =64.422, df=9, p<0.001). The logistic regression models showed that roosting sites were located closer to meadows and open forest, and further away from deciduous forest and shrubbery (Table 3). The values of the remaining variables were not statistically significant. The two analysed ranges (r=1,300 m and r=2,900 m) showed consistent results, though the effect of mixed forest was only significant in the 1,300-m radius. Roosts were located on average 1.91 ± 1.41 km away from the closest forest and 349±297 m above the treeline. The area within the 10-km radius around roosting sites consisted of a landscape where the relative extent of bare rock areas was 27.6 % and the average building availability was 1.67±1.35 building/km2. However, the availability of both types of roosts varied with elevation (Fig. 3). Building density peaked at 1,200 m amsl and tended to decrease with increasing elevation, even though buildings occurred at up to 2,500 m. The peak in crevice and scree resources was at 2,500 m, though rocky areas were available in the elevation range between 1,500 and 3,000 m. Spatial organisation We found no difference in the elevation of capture sites between the three bat classes (Kruskal-Wallis: X2 =1.77, df=2, p=0.410), but we did find differences in the elevation of roosting sites (ANOVA: F=6.748, df=2, p=0.002). The average elevation of roosts used by breeding bats was lower than the elevation of nulliparous females (Tukey: p<0.01) and males (Tukey: p= 0.030) (Table 2). Despite the mean elevation of nulliparous females being 147 m higher than that of males, differences were not statistical significance (Tukey: p=0.141). The overall mean elevation of roosts and capture sites was not statistically different (Wilcoxon test: v=823.5, p=0.488), and neither were differences within breeding females (Wilcoxon test: v=38, p= 0.070), nulliparous females (Wilcoxon test: v=20, p=0.15) and males (Wilcoxon test: v=327, p=0.410). Elevation differed depending on the roost type used (ANOVA: F=4.716, df=2, p= 0.013), as roosts located at rock crevices (1,997±255 m) were at a higher elevation than roosts in buildings (1,633±175 m, Tukey: p=0.035). No elevation differences were observed between crevices and screes (Tukey: p=0.089), and screes and buildings (Tukey: p=0.299). Crevice and scree roosts were respectively 458±254 m and 254±287 m above the treeline, while building roosts were 103±92 m below the treeline. The overall index of roosting fidelity (FR) was 0.51, but values differed considerably among bat classes and roost categories. By class, pregnant and lactating females showed the highest fidelity (FR =0.11), nulliparous females had intermediate values (FR =0.35), whereas males exhibited high roosting lability (FR =0.88). By category, bats roosting in buildings had the highest fidelity (FR =0), followed by bats roosting in crevices (FR =0.21). Conversely, bats roosting in scree deposits exhibited low fidelity, switching roosts every day they were tracked (FR =1). Discussion This study shows that in the Pyrenees the use of alpine habitats by P. macrobullaris is not limited to commuting and Eur J Wildl Res Table 1 General characteristics of capture locations and obtained samples. Numbers between parentheses indicate the number of radio-tracked individuals Valley Place Elevation (m) Distance to forest (km) Breeding females Nulliparous females Males Ansó Zuriza Tachera Plan d’Aniz Cubilar de las Vacas 1,550 1,920 1,740 1,570 0.62 1.31 1.44 0.67 1 (1) 0 4 (2) 2 4 2 (2) 5 1 2 (2) 0 2 (2) 1 (1) Izagra La Ripera Ibon de Piedrafita Llana del Portillo Cuello Bubalar Pardina Cuello Bizeto Arrablo Insolas Barrosa Biadós Campirme 1,800 1,590 1,640 1,790 1,800 1,900 2,005 2,350 2,370 1,780 1,770 2,030 Average 1,850±244 2.74 1.3 1.23 3.7 0.32 1.72 2.49 3.86 2.77 1.87 0.27 0.12 1 (1) 2 (1) 0 0 0 0 0 5 (2) 0 1 (1) 5 (3) 2 (2) Total 23 (13) 2 (2) 5 (1) 0 2 (2) 0 2 (1) 0 3 (1) 0 8 (1) 6 (3) 4 (4) 0 1 (1) 1 2 (1) 1 (1) 5 (2) 1 (1) 4 (1) 14 (3) 7 (3) 4 (2) 5 (1) 44 (17) 50 (21) Hecho Aisa Tena Ordesa-Añisclo Bielsa Plan Pallars Sobirà 1.65±1.17 occasional foraging bouts but instead this species also roosts and breeds in alpine environments. Eighty-five percent of the roosts we found were located above the treeline, including most of the breeding sites. The ecological pattern of roost use by this species does not correspond to that of a lowland species that occasionally commutes to higher elevations for foraging. Instead, the majority of P. macrobullaris roosts occur at the same elevations as foraging areas (Table 2), suggesting that the population of alpine long-eared bats is resident in the Pyrenean alpine habitat (Fig. 2). Free-ranging individuals have also been captured at high elevations (above 1,800 m) in the Alps, the Pindos Mountains, the Caucasus and the Zagros Mountains (Alberdi et al. 2013), suggesting that the pattern we observed may be similar to that of other populations. Roost types P. macrobullaris used various structures including natural and artificial shelters for roosting, as is common among bats (Rancourt et al. 2005; Lausen and Barclay 2006). Nevertheless, the observed roosting behaviour differed from that described in previous studies of this species (Benda et al. 2004; Presetnik et al. 2009; Mattei-Roesli 2010; Rutishauser et al. 2012) and of Plecotus bats in general (Swift 1998). In our study area, alpine long-eared bats roosted primarily in crevices. We found that both males and females (including five of the nine pregnant and lactating bats) used crevices during the active season. Crevices in cliffs are also typically used as nesting places for alpine birds such as the alpine chough, the wallcreeper and the white-winged snowfinch (Madge and Burn 1994; Saniga 1995; Yan-Hua et al. 2002). These sites likely provide protection from predators and harsh meteorological conditions. Notably, roosting among the small stones of scree deposits was common in alpine long-eared bats. Some bats, mainly crevice-dwellers such as Myotis daubentonii and Myotis nattereri, have occasionally been found in rocky debris on the floor of caves and tunnels (Baagøe 2001). Furthermore, there is a single observation of a northern bat (Eptesicus nilsonii) roosting among stones in Norway (van der Kooij 1999). Myotis leibii and Myotis evotis are, to our knowledge, the only species known to commonly roost in talus slopes (Solick and Barclay 2006; Johnson et al. 2011). Recently, Myotis lucifugus was recorded to roost in scree slopes in Colorado, USA (D. Neubaum, personal communication). Talus slopes are typical roosting resources for several small mammals closely linked to rocky environments, such as the snow vole (Chionomys nivalis) and the North American pika (Ochotona princeps) (Smith and Weston 1990), although these mammals usually build a lair below or among stones. Scree is abundant and easy to identify in craggy landscapes, where it offers a variety of microclimatic conditions depending on composition, rock sizes, and deposit depth (Scapozza et al. 2011). Thus, bats can potentially find the optimal conditions under scree deposits by moving through the deposit. Only three breeding females out of the 37 tracked bats were observed roosting in buildings. This contrasts with data from Eur J Wildl Res Fig. 2 Roost views, with icons showing exact roost locations. a General view of a roost area in Añisclo Canyon; the area covered by photos b and c is marked with white insets. b Detail of the limestone cliff with a horizontal crevice (1,880 m) where two breeding females roosted. c The scree deposit (2,140 m) of five roosting points belonging to two male bats; the area shown by photo d is marked with an inset. d A male alpine long-eared bat roosting in a scree deposit sticking out its head after stones had been removed the Alps, where nearly all known roosts are exclusively located in buildings (Presetnik et al. 2009; Mattei-Roesli 2010; Rutishauser et al. 2012). P. macrobullaris in the Alps and the Pyrenees may indeed have completely different roosting behaviours; however, we cannot exclude the possibility that studies in the Alps may have overemphasised the importance of buildings. Almost all the records in the Alps come from building surveys considered suitable a priori, which entails a bias towards buildings. Similarly, the few roosts that were previously known in the Pyrenees were also in buildings (Dejean 2009, personal observations), but our radio-tracking approach revealed an entirely different scenario. Because P. macrobullaris has also been captured in supraforestal habitats in the Alps (Alberdi et al. 2013), a similar radio-tracking Table 2 Summary statistics for roosting sites of breeding females, nulliparous females and males. The last three columns show the number of roost types used by bats from each category Breeding females Nulliparous females Males Total Capture elevation (m) Roosting elevation (m) Treeline difference (m) Forest distance (km) Capture distance (km) Crevices Screes Buildings 1,887±225 1,705±208 123±280 0.78±1.02 2.86±2.17 5 1 3 1,921±118 2,071±212 510±255 2.74±1.22 3.51±2.39 8 4 0 1,930±291 1,850±244 1,924±234 1,921±249 345±285 349±297 1.89±1.37 1.91±1.41 2.66±2.13 2.88±2.18 17 30 16 21 0 3 Eur J Wildl Res Table 3 Used and available habitat features and the coefficients of the GLM in the two analysed scales 1300 m radius Deciduous forest (%) Mixed forest (%) Coniferous forest (%) Open forest (%) Shrubbery (%) Orchards (%) Meadows (%) Richness (1–4) 2900 m radius Used Available Coefficient Used Available Coefficient 2.57±5.62 0.51±1.89 8.61±16.67 11.01±13.40 1.25±3.77 0 50.59±18.58 2.27±0.87 16.10±20.55 5.93±13.56 14.70±19.83 8.12±12.98 8.03±13.55 0.04±0.75 22.66±23.45 2.37±0.69 −0.087*** −0.125* −0.014 0.033** −0.124** −9.461 0.023*** 0.106 3.68±5.21 2.03±4.83 7.35±11.47 7.50±9.39 2.18±2.87 0 51.33±13.33 2.81±0.39 15.77±16.88 5.76±10.29 14.69±15.85 7.94±9.82 7.57±9.94 0.04±0.47 22.54±19.63 2.97±0.62 −0.092*** −0.023 −0.023 0.061*** −0.109** −12.906 0.045*** −0.474 *p<0.05; **p<0.01; ***p<0.001 (significant) study in the Alps would unambiguously determine whether the observations we made in the Pyrenees can be extrapolated to other areas. Roost availability and habitat selection 0.0010 Density 0.0005 0.0000 Fig. 3 Density plot of the elevational distribution of used roosts and the availability of different roosting resources across the altitudinal gradient. The grey area indicates the kernel density estimation (KDE) of roosting sites. The blue line indicates the KDE of buildings. The red line indicates the KDE of the rock resources. The vertical dashed line indicates the average treeline elevation in the study area 0.0015 Results from the habitat selection analysis suggest that at least in the Pyrenees P. macrobullaris is an open-space forager. These results are in accordance with the molecular diet analysis, which showed that bats forage in alpine meadows (Alberdi et al. 2012b). Additionally, no P. macrobullaris have been captured so far in dense forest areas in the Pyrenees (Alberdi et al. 2013). Roosting near foraging areas would allow bats to save energy by minimising long displacement flights, and the predominant use of crevices and scree deposits is probably linked to that fact, since natural rock resources in the alpine belt provide almost unlimited roosts near the meadows used as foraging grounds. Rock roosts were located on average at higher elevation than roost in buildings, corresponding to their relative availability across the elevational gradient (Fig. 3). Most buildings are located below the treeline while most rock areas can be found in the alpine belt. Bats opted not to fly to lower elevations for roosting, and the radiotracking approach disclosed that more breeding females roosted in crevices than in buildings, some of which were located above the treeline. Additionally, all non-breeding bats were found to use crevices in rocky structures. This suggests that females may select artificial shelters either when suitable rock resources in the surroundings of foraging grounds are limited or when they provide more suitable, perhaps warmer or drier, conditions for reproduction than rocks. The pattern identified in this study largely contrasts with the observations reported from the Alps, where roosting areas of P. macrobullaris were linked to deciduous forest environments, while meadows were avoided (Rutishauser et al. 2012). It is important to note that another radio-tracking study carried out in the Alps concluded that bats avoided woodlands (Preatoni et al. 2011). Therefore, further studies are necessary in order to obtain a clearer picture of the actual ecological preferences of this species in the Alps. 500 1000 1500 2000 Elevation range 2500 3000 Eur J Wildl Res Spatial organisation References We did not observe overall differences between the mean elevation of capture sites (foraging areas) and roosting sites. Nevertheless, although being captured at the same mean elevation as the rest of the classes, breeding females roosted lower than the nulliparous females and males. Therefore, while no altitudinal segregation was observed when capturing free-flying bats, altitudinal segregation relating to breeding condition did occur in regards to roosts selection. Breeding bats have different thermal requirements than nulliparous females and males (Cryan et al. 2000), which prevents them from lowering their body temperature to the same extent as non-breeding bats (Dzal and Brigham 2012). As a result, all bats exploit the same elevation belt for foraging, but males and nulliparous females are able to roost at higher elevation most likely because they are not restricted in their ability to lower their body temperature, which allows them to shelter in colder roosts closer to their foraging areas. While breeding females showed higher roosting fidelity and mostly relied on crevices, males used both scree deposits and crevices evenly and used structures spread over a wider elevational range. The solitary behaviour of males, their ability to exploit structurally diverse natural roosts and their frequent switching between sites contribute to a labile roosting behaviour that potentially allows males to remain close to temporally variable foraging patches. Even though the short tracking time of each bat prevented us from studying the longterm spatiotemporal dynamics of the roosting behaviour of P. macrobullaris, within the 40-day time span of the study, we did not observe temporal variations in the behaviour of the bats. Our research shows that P. macrobullaris uses a variety of roosts, with rocky structures being used more often than human-made buildings, most likely because rock resources offer the necessary shelter and are closer to foraging habitats than most buildings. Scree deposits deserve special mention given that they are comparatively unknown in the roosting spectrum of bats worldwide. Bats were found roosting up to 1,000 m above the treeline, suggesting that this species has evolved some specific adaptations, whether physiological, behavioural or both, for coping with the demanding abiotic conditions of alpine environments. Comparative studies of the torpor behaviour of different classes in other species may help elucidate specific adaptations. Finally, the existence of a breeding population in an alpine area confirms the alpine long-eared bat’s affinity towards high-mountain environments, which is in accordance with the species’ trophic ecology (Alberdi et al. 2012b) and alpine distribution (Alberdi et al. 2013). Aellen V (1962) Le baguement des chauves-souris au Col de Bretolet (Valais). 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