Next Article in Journal
Colistin Resistance Genes in Broiler Chickens in Tunisia
Previous Article in Journal
A Forage Allowance by Forage Type Interaction Impacts the Daily Milk Yield of Early Lactation Dairy Cows
Previous Article in Special Issue
Going Wild in the City—Animal Feralization and Its Impacts on Biodiversity in Urban Environments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Comparison of Small Rodent Assemblages after a 20 Year Interval in the Alps

1
Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/a, 43124 Parma, Italy
2
Faculty of Applied Ecology, Agricultural Science and Biotechnology, Campus Evenstad, Inland Norway University of Applied Sciences, 2480 Koppang, Norway
3
Research and Innovation Centre, Edmund Mach Foundation, Via Mach 1, 38098 San Michele all’Adige, Italy
4
NBFC, National Biodiversity Future Center, 90133 Palermo, Italy
5
Department of Biological, Geological, and Environmental Sciences, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
6
Research and Environmental Education, Adamello Brenta Nature Park, Via Nazionale 24, 38080 Strembo, Italy
7
Istituto Oikos, Via Crescenzago 1, 20134 Milano, Italy
*
Author to whom correspondence should be addressed.
Animals 2023, 13(8), 1407; https://doi.org/10.3390/ani13081407
Submission received: 14 February 2023 / Revised: 14 April 2023 / Accepted: 15 April 2023 / Published: 19 April 2023
(This article belongs to the Collection Recent Advance in Wildlife Conservation)

Abstract

:

Simple Summary

The Alps are undergoing important environmental alterations. These can modify the characteristics of the habitats where several wildlife species persist, leading to a reshuffle of local assemblages (i.e., the ensemble of species in a given habitat). We investigated these aspects in alpine small rodents, monitoring their assemblage after a 20 year interval (between 1997 and 2016) in three close-by different habitats (rocky scree, grassland, and heath) at 2100 m a.s.l. elevation. We found that the bank vole, commonly considered a forest-dwelling species, was well-established in these high-alpine habitats already in 1997 and further expanded twenty years later. On the contrary, the snow vole, which is typically resident at these elevations and even above, has restricted its range across decades, being found in 2016 only in the optimal habitat for this species (rocky scree). Given the numerous factors affecting population dynamics in small rodents, it is hard to derive robust inferences from this ‘punctual’ comparison. The modification of local assemblages might be related to an ongoing modification of the local climate while also being caused by demographic processes typical of small mammal population dynamics. Long-term studies are necessary to better investigate these critical issues.

Abstract

Human-induced environmental alterations in the Alps may importantly affect small mammal species, but evidence in this sense is limited. We live-trapped small rodents in the Central-Eastern Italian Alps in three close-by habitat types (rocky scree, alpine grassland, and heath) at 2100 m a.s.l. during summer-fall, in 1997 and 2016. We compared small rodent assemblages through a Redundancy Detrended Analysis (RDA). In both surveys, we detected two specialist species, i.e., the common vole (Microtus arvalis) and the snow vole (Chionomys nivalis), and, unexpectedly, the forest generalist bank vole (Myodes glareolus). In 1997, grassland was mainly occupied by the common vole, while the bank vole and the snow vole were sympatric in the other habitats. In 2016, the snow vole was detected only in the scree, while other species did not show distribution changes. We discuss a series of hypotheses that might have driven the differences observed across decades, among which is a species-specific response to abiotic and biotic environmental alterations, with the alpine habitat specialist moving out of sub-optimal habitats. We encourage further research on this topic, e.g., via long-term longitudinal studies.

1. Introduction

The alpine region is undergoing important alterations due to climate change [1,2] and, further, due to the direct impact of anthropogenic activities (e.g., [3,4]). The increase of temperatures [5], the reduction in ice and snow cover [6], the frequent extreme weather events [7], and the changes in land use consequent to the variations in the socio-economic context of the Alps [8] concur in reshaping the heterogeneity of the alpine landscape [9] and therefore of the habitats where several alpine species persist [10,11].
The ability of a given species to cope with such changes is determined by its ecological plasticity [12] or, alternatively, its adaptive capacity, via genetic evolution, to modify key life history traits that permit the survival and reproduction of individuals in an altered habitat [13]. Specifically, generalist species with a broad fundamental niche, as well as specialist ones whose specialization is reversible (e.g., dietary choice) [14], are able to track new environmental conditions [15,16], for example, expanding upslope towards new favourable areas [17,18,19]. Conversely, species whose specialization is due to physiological or morphological constraints [14] are characterized by a narrower environmental tolerance. This likely leads to low ecological plasticity and a tendency to contract their distribution range [20,21,22] or go extinct [23,24], especially when dispersal ability is limited by habitat fragmentation [25,26]. At the assemblage level, the relative occurrence of generalist and specialist species (generalist-specialist balance) depends on the suitability of the habitat for all species ensembles, i.e., considering their use of alternative resources and direct or indirect competitive interactions [27]. In the presence of competition, generalist species benefit from a lack of environmental stability and are favoured in heterogeneous and disrupted habitats, whereas specialist ones prevail in areas with high stability and a high rate of homogeneity [28]. When environmental conditions change, the relative role of species within the assemblage may therefore also shift [29], leading to biotic homogenization at the community level [29], as shown for example in a study on bird communities in the Swiss Alps [30].
The impact of modifications to the alpine environment on species assemblages can be investigated by comparing species’ responses across time (see, e.g., [30]). Despite being considered important bioindicators [18,20,31,32], studies examining such changes in the alpine small rodent assemblage are currently lacking, probably because historical data for comparison are scarcely available. Here, we relied on alpine small rodent monitoring after a 20 year interval to describe their assemblage across decades. The study was performed above the treeline in high-altitude habitats that are of particular ecological and conservation interest. In particular, these habitats are exposed to a series of climate change effects and occurring human modifications, e.g., climate-driven vegetation shifts [33], abandonment of traditional seasonal grazing practices [34], and disturbance caused by human leisure activities [35]. Notably, in the study area, a trend of temperature increase was recorded over the past 30 years, in line with what was observed throughout the alpine range (Supplementary Material S1; see also [5,36]).
Specifically, we carried out our descriptive comparison taking advantage of an historical study performed in 1997 on small rodents in the Central Italian Alps [37], when they were live-trapped in three grids at close-by sites with different dominant habitat types (grassland, heath, and rocky scree; Figure 1) at the same elevation. We repeated the survey in the same area with the same design for comparability after two decades (2016). Given the stochastic fluctuations characterizing population dynamics of small rodents [38], we are aware that the few intra-period (i.e., historical and current) temporal repetitions and the lack of spatial replicates limit the generalizability of results. Although the design we were able to apply does not allow us to fully address the processes underpinning variations in local assemblages, we aimed to obtain a local snapshot that can be used as a starting point for further longitudinal comparisons. At this altitudinal belt, some generalist species such as the bank vole (Myodes glareolus), typically considered a forest dwelling species [39,40,41] that preferentially selects old forests with dense ground cover [42,43], are at the altitudinal edge of their distribution. Conversely, habitats above the treeline are optimal for other alpine-adapted specialized species, such as the rock-dwelling snow vole (Chyonomis nivalis) [44]. We discuss our results in light of species functional roles and the climatic and environmental changes that have occurred.

2. Materials and Methods

2.1. Study Area and Sampling Sites

Both the 1997 and 2016 surveys were conducted in an alpine area of approximately 15,000 m2, placed at 2100 m a.s.l. in Nambrone Valley, in the Adamello Brenta Nature Park (46°13′24.21′′ N, 10°43′21.07′′ E, Autonomous Province of Trento, Italy). The climate of the area is typically alpine (ET class; sensu Köppen–Geiger classification, [45]), with cold and relatively dry winters (January: −4.5 ± 1.2 °C; 66.6 ± 80.9 mm) and a fresh and wet summer (July: 10.9 ± 1.5 °C; 129.8 ± 42.3 mm). The mean annual temperature is 2.9 ± 0.5 °C, while the mean annual precipitation is equal to 1366 ± 326 mm (data source: https://www.meteotrentino.it, accessed on 24 March 2023, Pradalago station, 6 km in line of sight from the study area; coordinates: 46°14′58.92′′ N, 10°48′50.04′′ E; altitude: 2084 m a.s.l.; data interval: 1990–2022, accessed on 12 January 2023).
Within the study area, we identified three sampling sites above the treeline, spaced 250–300 m apart and separated by microhabitat barriers (e.g., mountain streams), facing eastward and placed at the same altitude, but characterized by different habitat types (grassland, heath, and rocky scree; Figure 1), whose characteristics did not differ substantially across decades. In particular, the alpine grassland was mainly dominated by herbaceous species, with the main dominance of Festuca spp., Nardus spp., and Carex spp. The heath was composed of a mix of rhododendrons (Rhododendron ferrugineum), juniper bushes (Juniperus spp.), blueberries (Vaccinium spp.), spare mugo pines (Pinus mugo), and larches (Larix decidua). The scree area was predominantly occupied by rocks. The study area is typically inhabited by several alpine species, including small mammals and other larger herbivores such as marmots (Marmota marmota), alpine mountain hares (Lepus timidus varronis), and alpine chamois (Rupicapra rupicapra), while carnivores are represented by ermines (Mustela erminea), red foxes (Vulpes vulpes), and several birds of prey (e.g., Aquila crysaetos) [46].

2.2. Small Rodents Live-Trapping

In both 1997 and 2016, for each habitat type, we deployed a 256 m2 squared grid with 16 traps, each of which was placed at the center of a 4 × 4 m cell. In each year, we performed one session per month, from August to October. The captures lasted 6 days/5 nights, with trap controls occurring every 12 h. Before each session, we pre-baited the traps for two days to habituate individuals, filling them with apple slices and peanut butter throughout the whole capture session. In 1997, we deployed the Sherman live traps (30 × 9 × 8 cm), while in 2016, the standard Ugglan Multiple Live Traps (Model 2, Granhab, Sweden) were adopted. We performed a pilot study to account for potential differences in trapping success between the two trap models. We found a higher trapping success for Sherman traps with respect to Ugglan ones, and we took this difference into account when interpreting the results about the community composition (see below and Supplementary Material S2).
We applied the standard capture-mark-recapture (CMR) technique [47,48]. In 2016, we marked individuals by means of the fur-clipping code [49]. This non-invasive marking method allowed individual recognition in the event of recapture within the same trapping session but not among subsequent sessions due to fur re-growth. Each trapping session was therefore considered separately from the others. In 1997, animals were marked through toe clipping, a method no longer commonly accepted because of its implications for animal welfare [50], but back then adopted by the scientific community for both lab and field rodents [51] that allows individual recognition among subsequent trapping sessions. In this study, we used these old data for the sole purpose of presenting some findings of conservation interest.
At any capture event, we recorded the date, time, and trap site, as well as the species, sex, reproductive state, and age class. Specifically, we defined three age classes, following the classification provided by [52,53]: adults, including sexually mature females with opened vagina who are pregnant or lactating, and males with scrotal testes; subadults, i.e., females with inactive reproductive organs or closed vagina, and males with abdominal testes; and juveniles, where we identified sex based on the uro-genital distance, which is larger in males than females. We also recorded body mass by means of Pesola scales with an accuracy of 0.5 g, while we used a caliper (with an accuracy of 1 mm) to measure hind foot length.
According to the law regulating wildlife conservation in the Autonomous Province of Trento, none of the studied species is subject to any form of protection, and therefore no authorization is needed for capturing and handling these animals (Provincial Law 24/1992, Art. 2 [54]). However, we made our best efforts to guarantee animal welfare and minimize the risk of injury and death. Nonetheless, we recorded 7 cases of death out of 377 capture events (including also recaptures), four of which were common shrews (occasionally trapped), while the remaining were rodents (one common vole and two snow voles).

2.3. Statistical Analyses

We examined the small rodent assemblage across habitat types and decades by applying ordination methods for 1997 and 2016 separately. We performed these analyses relying solely on the capture data of new individuals within each session (i.e., the first capture event per individual), because the fur-clipping marking technique used in 2016 does not permit the recognition of an individual across monthly sessions due to fur regrowth.
We inspected the structure of the data by using Detrended Correspondence Analysis (DCA, [55,56]) to determine the length of the DCA first gradient. Since the length of the first DCA axis was below three standard deviation units (1.08 and 1.91, respectively, in 1997 and 2016; see Supplementary Material S3), suggesting a relatively homogenous dataset, we moved to linear methods, which are preferable in this case, and performed a Stepwise Redundancy Analyses (RDA; [57,58,59,60]), with the habitat type used as a constrained variable. For each year, we created two matrices: one for the three habitat types and the other for species occurrence and abundance in each of the habitats. We considered the data collected in the three trapping sessions of each year separately because the interval between sessions was long enough for new individuals to occur, either newborns or dispersers. We linearly combined the two matrices to maximize habitat separation between species, reporting the overall and axis-related proportion of variance explained by the habitat type as well as the canonical coefficients (CC) [58,61]. Monte Carlo permutation tests were used to assess the significance of constraints (999 permutations; [62]). Lastly, we represented the association between small rodent species and habitat type by means of ordination biplots [63].
We performed the analyses using R software 4.1.2 [64] and specifically the packages ggvegan [65], vegan [65], and tidyverse [66].

3. Results

Overall, we captured 67 individuals in 1997 and 51 individuals in 2016. In both surveys, we detected the bank vole (Myodes glareolus), the common vole (Microtus arvalis), and the snow vole (Chionomys nivalis) (Table 1; for details about the number of individuals per habitat type, age class, and sex across decades, see Supplementary Material S4). We also occasionally captured the common shrew (Sorex araneus) and the alpine shrew (Sorex alpinus), but we did not include these species in any analysis because the study design was not fitted to monitor these species. The common vole was found in grassland and heath but not in the scree, both in 1997 and 2016, while the bank vole was recorded in all three habitats across decades. The snow vole occurred in all three habitats in 1997 but not in 2016, when it was found in the scree only. In the snow vole, body mass was measured on average at 37.7 ± 9.1 g, with individuals being heavier in 2016 (42.9 ± 6.7 g) than in 1997 (35.2 ± 9.1 g). The bank vole and the common vole weighed on average 23.5 ± 5.3 g and 21.8 ± 3.6 g, respectively, with no major differences denoted across decades (see Supplementary Material S5 for details).
When occurrences of these species were represented as assemblages, variations were mainly observed in the grassland and in the heath, where the snow vole disappeared from 1997 to 2016, leading to an increment in the relative frequencies of the common vole and the bank vole (Figure 2a). In the scree, the composition of the assemblage did not undergo apparent modifications across decades.
The association between habitat types and species changed across decades. In 1997, the biplot showed a slight dissociation of the snow vole and the bank vole from the grassland on the first axis, while the common vole was not associated with a specific habitat. To a lesser extent, the second axis dissociated the bank vole, occupying the heath, from the snow vole, which was more associated with the scree habitat (Figure 2b). Yet, this association between small rodent abundance and habitat type was not significant (F2,66 = 2.26, p > 0.05). In 2016, instead, the snow vole was markedly separated from grassland on the first axis. The second axis separated the common vole in the grassland from the bank vole, which did not exhibit any association with a given habitat (Figure 2c). The observed association between small rodent abundance and habitat type was statistically significant (F2,50 = 2.49, p = 0.03).
Specifically, the RDA analysis evidenced that habitat type accounted for almost 43% of the variance in small rodent assemblage composition in 1997 and around 46% in 2016. In particular, the RDA first axis explained 39% and 42% of the overall explained variance in 1997 and 2016, respectively. Both in 1997 and in 2016, this axis was positively associated with grassland (CC = 0.95 and CC = 0.67, respectively). The second axis, which in both analyses explained a much lower percentage of variance (4% and 3% in 1997 and 2016, respectively), was positively associated with heath in both surveys (1997: CC = 0.98; 2016: CC = 0.95) (Supplementary Material S3). In 1997, the first axis clearly delineated a separation between the snow vole (CC = −0.84) and the bank vole (CC = −0.68) on its negative side, from the common vole (CC = 0.87). In 2016, the first axis separated only the snow vole (CC = −1.03) from the other species, which were all positively related to the first axis, although to a different extent (in decreasing order of absolute value of variance: common vole (CC = 0.85), bank vole (CC = 0.51)). With respect to the second axis, the overall separation pattern was less evident. In 1997, it separated the snow vole (CC = −0.32) from the bank vole (CC = 0.26) in the heath, while the common vole was scarcely associated with the second axis. In 2016, the common vole was negatively associated with the second axis (CC = −0.33), as were the snow voles (CC = −0.22), while the bank vole (CC = 0.11) was slightly and positively associated with the second axis (Supplementary Material S3).

4. Discussion

This study represents, to the best of our knowledge, the first inter-decadal comparison of the small rodent assemblage at the margin of treeline in the Alps. The bank vole was well-established in this area above the treeline, both in 1997 and in 2016, showing a partially unexpected plasticity in adapting to more open habitats with respect to its preferred forest ([43]). Conversely, the snow vole was present in all habitats in 1997, but it was not detected in grassland or heath after two decades, when it was the most associated species with scree. This meant an overall decrease in the association between these two small rodents after a 20 year interval. In this study, we cannot disentangle which proximate mechanism operated, given the simple design and the lack of independence between data gathered at the same site through time. On the one hand, it is possible that the fast-ongoing environmental modifications, and in particular the warmer weather, may force the snow vole to move towards its most preferred habitat, i.e., the scree, where the species can find heat shelters. Alternatively, it is possible that demographic outbreaks that occurred in the past may have caused, in 1997, an expansion of snow vole populations towards suboptimal habitats. The mechanisms behind assemblage shifts also include the effects of abiotic changes and consequential variations in habitat suitability on species interactions, such as competition between species. Further comparisons across altitudinal and latitudinal gradients may help investigate the generality and mechanisms of these observed effects. It has also to be noted that the absence of data about the snow vole in the heath and grassland in 2016 could partly be explained by the different traps used (Supplementary Material S2). However, the change in numbers of captured individuals is abrupt, and at least part of the detected change is likely genuine, thus allowing a comparison of the assemblage of the species.
Although occasionally recorded even up to 2700 m a.s.l. in the Alps, the bank vole is typically considered a species living below the timberline [67]. Our findings suggest that this species, at least in the study area where we performed the survey, was well established above the treeline in open areas. Although recorded in both surveys, the species was slightly dissociated from grassland in 1997, while it was not associated with any habitat type in particular in 2016. The average body mass of adult bank voles in the study area is close to the lower end of the known body mass distribution [67], which suggests that these habitats might be marginal for the species persistence [68]. With the data at our disposal, it is hard to infer the processes underpinning the colonization process by this forest-dwelling small rodent at these altitudes. Under the assumption that in an alpine environment a temperature increment can lead to a resource distribution modification [69,70], we may speculate that the altitudinal habitat suitability for the bank vole increased over time. Therefore, this plastic species might benefit from these favourable environmental changes, as observed for other montane species worldwide [31]. The well-known trend towards milder climate observed in the Central-Eastern Alps ([36]; see also Supplementary Material S1), combined with the great thermal tolerance and plasticity observed in the bank vole [71,72,73], may support this view, which however needs to be confirmed by further analysis based on long-term time series of demographic studies. Indeed, we cannot definitively exclude that both in 1997 and in 2016, the species was present in this marginal area because of density-dependent dispersion towards sub-optimal habitats, as previously argued [74,75].
The common vole has already been reported to typically dwell in alpine grassland [76]. Our results confirm the prevalent association of this species with this habitat type, and the morphometric measures that we report fit with what is known about this species [67]. The observed co-occurrence of the common vole and the bank vole in the grassland and, to a minor extent, in the heath is likely permitted by a niche separation driven by food strategy differentiation (the bank vole is an omnivore, while the common vole diet is strictly herbivorous, including roots and leaves; [41]).
The most evident modification of assemblage composition after 20 years was the dissociation of the snow vole from other species, with this rock-dwelling specialist isolating itself in its optimal habitat [34]. A possible explanation for what was observed, which however remains speculative, is that the snow vole might have moved towards the scree to contrast increasing temperature. Hence, microhabitat conditions might favour the persistence of this specialist species [44], which is characterized by a narrow thermal tolerance [77]. This interpretation finds some support in the growing body of evidence about behavioural adaptations that several alpine species are developing to cope with heat stress (see e.g., [78] for a case study on the Alpine ibex, Capra ibex). The increment in temperature in the study area might have had a double-sided effect on the snow vole, restricting its tolerance to more extreme alpine habitats while ameliorating the individual conditions therein (see Supplementary Material S4 and S5). Indeed, snow vole body mass, whose values were aligned with what is known for this species [67], increased in 2016, possibly reflecting an increment in resource availability [79]. However, our results do not permit us to clearly understand the intrinsic mechanisms underpinning such changes. As an alternative hypothesis, it is possible that the snow vole population in 1997 expanded towards grassland and heath in consequence of stochastic demographic outbreaks, which are characteristic of small mammal population dynamics [38]. Abrupt increases in population abundance during outbreak years may have produced density-dependent emigration of dispersers towards marginal habitat for the species [80]. Lastly, the ongoing expansion and establishment of the bank vole in the area might have pushed the snow vole out of less extreme habitats, where the bank vole likely thrives. Yet, there is no evidence for competition between these two species [77], which, according to the data at our disposal, co-occur in the scree.

5. Conclusions

Our results present some empirical support for a habitat shift for the snow vole and for some shifts in the small rodent assemblage in general. Further work should focus on disentangling the process of association/isolation of species from other species-specific processes such as density-driven expansions/contractions induced by demographic outbreaks [81] or climate-driven behavioural adaptations [82].
Despite being aware that through our comparison we cannot infer the proximate causes of small rodent assemblage variation, we maintain that this work constitutes a starting point to investigate in this direction. The evidence for global and climate change is ubiquitous [2], and the Alps are among the areas on the planet where these modifications are occurring faster [83], as reflected in different types of species responses. For instance, the alpine marmot’s (Marmota marmota) litter size decreased over a 20 year time scale in relation to climate change effects [84], while recent empirical work proves that the altitudinal limit of the hazel dormouse (Muscardinus avellanarius) is higher than expected [85]. It is of the utmost importance to strengthen this evidence by analyzing the effect of environmental changes on community and population dynamics of alpine species. This can be obtained via long-term comparisons in the same monitored areas or, alternatively, by applying space-for-time substitution approaches such as an assessment along a latitudinal or altitudinal gradient [86,87]. This research line is particularly recommended in those areas where the coexistence of generalist and specialist species occurs in ecosystems with “nowhere to go”, such as the alpine ones.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani13081407/s1: Supplementary Material S1: Temperature trends in the study area; Supplementary Material S2: Trapping success comparison between Ugglan and Sherman traps; Supplementary Material S3: Ordination Analysis; Supplementary Material S4: Visualization of captured individuals in function of habitat type, age class, and sex across decades; Supplementary Material S5: Assessment of variation in individual morphometric measures across decades; Supplementary Material S6: Comparison of body mass in snow voles in the scree habitat between 1997 and 2016. References [88,89,90] are in Supplementary Materials.

Author Contributions

Conceptualization: G.F., F.O., A.M., F.C., D.A.G. and D.S.; methodology: G.F., A.M. and D.S.; data curation: G.F. and F.Z.; investigation: G.F., M.A. and F.Z.; formal analysis: G.F., F.O. and F.C.; writing—original draft: G.F. and F.O.; writing—review and editing: M.A., A.M., F.Z., O.D., F.C., D.A.G. and D.S.; supervision: A.M., D.A.G. and D.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

None of the studied species is subject to any approval for capture and handling, according to the law of the Autonomous Province of Trento (Provincial Law 24/1992, Art. 2).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available as Supplemental Material.

Acknowledgments

We thank Adamello Brenta Nature Park personnel, and Michele Zeni in particular, for field assistance. We are grateful to Valentina Tagliapietra and to Valentina La Morgia for their logistical and analytical support during the project. Lastly, we thank three anonymous referees, whose suggestions allowed us to substantially improve the quality of this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rogora, M.; Frate, L.; Carranza, M.L.; Freppaz, M.; Stanisci, A.; Bertani, I.; Bottarin, R.; Brambilla, A.; Canullo, R.; Carbognani, M.; et al. Assessment of climate change effects on mountain ecosystems through a cross-site analysis in the Alps and Apennines. Sci. Total Environ. 2018, 624, 1429–1442. [Google Scholar] [CrossRef]
  2. IPCC. Climate Change 2022: Impacts, Adaptation and Vulnerability, Sixth Assessment Report; Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M.I., et al., Eds.; IPCC: Geneva, Switzerland, 2022. [Google Scholar]
  3. Chemini, C.; Rizzoli, A. Land use change and biodiversity conservation in the Alps. J. Mt. Ecol. 2003, 7, 1–7. [Google Scholar] [CrossRef]
  4. Bebi, P.; Seidl, R.; Motta, R.; Fuhr, M.; Firm, D.; Krumm, F.; Conedera, M.; Ginzler, C.; Wohlgemuth, T.; Kulakowski, D. Changes of forest cover and disturbance regimes in the mountain forests of the Alps. For. Ecol. Manag. 2017, 388, 43–56. [Google Scholar] [CrossRef] [PubMed]
  5. Gobiet, A.; Kotlarski, S.; Beniston, M.; Heinrich, G.; Rajczak, J.; Stoffel, M. 21st century climate change in the European Alps—A review. Sci. Total Environ. 2014, 493, 1138–1151. [Google Scholar] [CrossRef] [PubMed]
  6. Scherrer, S.C.; Wüthrich, C.; Croci-Maspoli, M.; Weingartner, R.; Appenzeller, C. Snow variability in the Swiss Alps 1864–2009. Int. J. Climatol. 2013, 33, 3162–3173. [Google Scholar] [CrossRef]
  7. Oddi, L.; Galvagno, M.; Cremonese, E.; Filippa, G.; Migliavacca, M.; Bassignana, M.; Morra di Cella, U.; Siniscalco, C. Heat waves and droughts strongly impact productivity and ecosystem functioning in an abandoned subalpine grassland. In Proceedings of the EGU General Assembly Conference Abstracts, Copernicus Meetings, Virtual, 4–8 May 2020; p. 19266. [Google Scholar]
  8. Gellrich, M.; Baur, P.; Koch, B.; Zimmermann, N.E. Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis. Agric. Ecosyst. Environ. 2007, 118, 93–108. [Google Scholar] [CrossRef]
  9. Kulakowski, D.; Bebi, P.; Rixen, C. The interacting effects of land use change, climate change and suppression of natural disturbances on landscape forest structure in the Swiss Alps. Oikos 2011, 120, 216–225. [Google Scholar] [CrossRef]
  10. Williams, J.W.; Jackson, S.T.; Kutzbach, J.E. Projected distributions of novel and disappearing climates by 2100 AD. Proc. Natl. Acad. Sci. USA 2007, 104, 5738–5742. [Google Scholar] [CrossRef]
  11. Watson, J.E.M.; Iwamura, T.; Butt, N. Mapping vulnerability and conservation adaptation strategies under climate change. Nat. Clim. Chang. 2013, 3, 989–994. [Google Scholar] [CrossRef]
  12. Greenberg, R. Ecological plasticity, neophobia, and resource use in birds. Stud. Avian Biol. 1990, 13, 431–437. [Google Scholar]
  13. Thurman, L.L.; Stein, B.A.; Beever, E.A.; Foden, W.; Geange, S.R.; Green, N.; Gross, J.E.; Lawrence, D.J.; LeDee, O.; Olden, J.D.; et al. Persist in place or shift in space? Evaluating the adaptive capacity of species to climate change. Front. Ecol. Environ. 2020, 18, 520–528. [Google Scholar] [CrossRef]
  14. Colles, A.; Liow, L.H.; Prinzing, A. Are specialists at risk under environmental change? Neoecological, paleoecological and phylogenetic approaches. Ecol. Lett. 2009, 12, 849–863. [Google Scholar] [CrossRef]
  15. Burrows, M.T.; Schoeman, D.S.; Richardson, A.J.; Molinos, J.G.; Hoffmann, A.; Buckley, L.B.; Moore, P.J.; Brown, C.J.; Bruno, J.F.; Duarte, C.M.; et al. Geographical limits to species-range shifts are suggested by climate velocity. Nature 2014, 507, 492–495. [Google Scholar] [CrossRef] [PubMed]
  16. Mawdsley, J.R.; O’Malley, R.; Ojima, D.S. A review of climate-change adaptation strategies for wildlife management and biodiversity conservation. Conserv. Biol. 2009, 23, 1080–1089. [Google Scholar] [CrossRef] [PubMed]
  17. Bright Ross, J.G.; Peters, W.; Ossi, F.; Moorcroft, P.R.; Cordano, E.; Eccel, E.; Bianchini, F.; Ramanzin, M.; Cagnacci, F. Climate change and anthropogenic food manipulation interact in shifting the distribution of a large herbivore at its altitudinal range limit. Sci. Rep. 2021, 11, 7600. [Google Scholar] [CrossRef]
  18. Myers, P.; Lundrigan, B.L.; Hoffman, S.M.G.; Haraminac, A.P.; Seto, S.H. Climate-induced changes in the small mammal communities of the Northern Great Lakes Region. Glob. Chang. Biol. 2009, 15, 1434–1454. [Google Scholar] [CrossRef]
  19. Angert, A.L.; Crozier, L.G.; Rissler, L.J.; Gilman, S.E.; Tewksbury, J.J.; Chunco, A.J. Do species’ traits predict recent shifts at expanding range edges? Ecol. Lett. 2011, 14, 677–689. [Google Scholar] [CrossRef] [PubMed]
  20. Moritz, C.; Patton, J.L.; Conroy, C.J.; Parra, J.L.; White, G.C.; Beissinger, S.R. Impact of a century of climate change on small-mammal communities in Yosemite National Park, USA. Science 2008, 322, 261–264. [Google Scholar] [CrossRef]
  21. Büchi, L.; Vuilleumier, S. Coexistence of Specialist and Generalist Species Is Shaped by Dispersal and Environmental Factors. Am. Nat. 2014, 183, 612–624. [Google Scholar] [CrossRef]
  22. Pernollet, C.A.; Korner-Nievergelt, F.; Jenni, L. Regional changes in the elevational distribution of the Alpine Rock Ptarmigan Lagopus muta helvetica in Switzerland. Ibis 2015, 157, 823–836. [Google Scholar] [CrossRef]
  23. Channell, R.; Lomolino, M.V. Trajectories to extinction: Spatial dynamics of the contraction of geographical ranges. J. Biogeogr. 2000, 27, 169–179. [Google Scholar] [CrossRef]
  24. Neff, F.; Korner-Nievergelt, F.; Rey, E.; Albrecht, M.; Bollmann, K.; Cahenzli, F.; Chittaro, Y.; Gossner, M.M.; Martínez-Núñez, C.; Meier, E.S.; et al. Different roles of concurring climate and regional land-use changes in past 40 years’ insect trends. Nat. Commun. 2022, 13, 11–13. [Google Scholar] [CrossRef] [PubMed]
  25. Rehnus, M.; Bollmann, K.; Schmatz, D.R.; Hackländer, K.; Braunisch, V. Alpine glacial relict species losing out to climate change: The case of the fragmented mountain hare population (Lepus timidus) in the Alps. Glob. Chang. Biol. 2018, 24, 3236–3253. [Google Scholar] [CrossRef]
  26. Hof, A.R.; Jansson, R.; Nilsson, C. Future Climate Change Will Favour Non-Specialist Mammals in the (Sub)Arctics. PLoS ONE 2012, 7, e52574. [Google Scholar] [CrossRef]
  27. Mills, C.G.; Allen, R.J.; Blythe, R.A. Resource spectrum engineering by specialist species can shift the specialist-generalist balance. Theor. Ecol. 2020, 13, 149–163. [Google Scholar] [CrossRef]
  28. Devictor, V.; Julliard, R.; Jiguet, F. Distribution of specialist and generalist species along spatial gradients of habitat disturbance and fragmentation. Oikos 2008, 117, 507–514. [Google Scholar] [CrossRef]
  29. Clavel, J.; Julliard, R.; Devictor, V. Worldwide decline of specialist species: Toward a global functional homogenization? Front. Ecol. Environ. 2011, 9, 222–228. [Google Scholar] [CrossRef]
  30. García-Navas, V.; Sattler, T.; Schmid, H.; Ozgul, A. Temporal homogenization of functional and beta diversity in bird communities of the Swiss Alps. Divers. Distrib. 2020, 26, 900–911. [Google Scholar] [CrossRef]
  31. Rowe, R.J.; Finarelli, J.A.; Rickart, E.A. Range dynamics of small mammals along an elevational gradient over an 80-year interval. Glob. Chang. Biol. 2010, 16, 2930–2943. [Google Scholar] [CrossRef]
  32. Krebs, C.J.; Boonstra, R.; Gilbert, B.S.; Kenney, A.J.; Boutin, S. Impact of climate change on the small mammal community of the Yukon boreal forest. Integr. Zool. 2019, 14, 528–541. [Google Scholar] [CrossRef]
  33. Walther, G.-R.; Beißner, S.; Burga, C.A. Trends in the upward shift of alpine plants. J. Veg. Sci. 2005, 16, 541–548. [Google Scholar] [CrossRef]
  34. La Morgia, V.; Balbo, C.; Memoli, S.; Isaia, M. Rodents in grassland habitats: Does livestock grazing matter? A comparison of two Alpine sites with different grazing histories. Zoosystema 2015, 37, 571–580. [Google Scholar] [CrossRef]
  35. Negro, M.; Novara, C.; Bertolino, S.; Rolando, A. Ski-pistes are ecological barriers to forest small mammals. Eur. J. Wildl. Res. 2013, 59, 57–67. [Google Scholar] [CrossRef]
  36. Bertoldi, G.; Bozzoli, M.; Crespi, A.; Matiu, M.; Giovannini, L.; Zardi, D.; Majone, B. Diverging snowfall trends across months and elevation in the northeastern Italian Alps. Int. J. Climatol. 2023, 43, 1–26. [Google Scholar] [CrossRef]
  37. Zibordi, F. Indagine Sull’ecologia Trofica di una Popolazione di Ermellino (Mustela erminea) in alta Val Nambrone (Parco Naturale Adamello Brenta). Master’s Thesis, Milan University, Milan, Italy, 1998. [Google Scholar]
  38. Andreassen, H.P.; Sundell, J.; Ecke, F.; Halle, S.; Haapakoski, M.; Henttonen, H.; Huitu, O.; Jacob, J.; Johnsen, K.; Koskela, E.; et al. Population cycles and outbreaks of small rodents: Ten essential questions we still need to solve. Oecologia 2021, 195, 601–622. [Google Scholar] [CrossRef]
  39. Kamenišťák, J.; Baláž, I.; Tulis, F.; Jakab, I.; Ševčík, M.; Poláčiková, Z.; Klimant, P.; Ambros, M.; Rychlik, L. Changes of small mammal communities with the altitude gradient. Biologia 2020, 75, 713–722. [Google Scholar] [CrossRef]
  40. Benedek, A.M.; Sîrbu, I.; Lazăr, A. Responses of small mammals to habitat characteristics in Southern Carpathian forests. Sci. Rep. 2021, 11, 12031. [Google Scholar] [CrossRef] [PubMed]
  41. Butet, A.; Delettre, Y.R. Diet differentiation between European arvicoline and murine rodents. Acta Theriol. 2011, 56, 297–304. [Google Scholar] [CrossRef]
  42. Mazurkiewicz, M. Factors Influencing the Distribution of the Bank Vole in Forest Habitats. Acta Theriol. 1994, 39, 113–126. [Google Scholar] [CrossRef]
  43. Torre, I.; Arrizabalaga, A. Habitat preferences of the bank vole Myodes glareolus in a Mediterranean mountain range. Acta Theriol. 2008, 53, 241–250. [Google Scholar] [CrossRef]
  44. Luque-Larena, J.J.; López, P.; Gosálbez, J.; Lopez, P.; López, P.; Gosálbez, J. Microhabitat use by the snow vole Chionomys nivalis in alpine environments reflects rock-dwelling preferences. Can. J. Zool. 2002, 80, 36–41. [Google Scholar] [CrossRef]
  45. Rubel, F.; Brugger, K.; Haslinger, K.; Auer, I. The climate of the European Alps: Shift of very high resolution Köppen-Geiger climate zones 1800–2100. Meteorol. Zeitschrift 2017, 26, 115–125. [Google Scholar] [CrossRef]
  46. Bertolino, S.; Vieceli, S.; Tontini, L.; Giacoma, C. Roditori e Soricomorfi nelle valli Ferret e Veni. Rev. Vald. Hist. Nat. 2008, 61–62, 293–306. [Google Scholar]
  47. Pollock, K.H.; Nichols, J.D.; Brownie, C.; Hines, J.H. Statistical Inference for Capture-Recapture Experiments. Wildl. Monogr. 1990, 107, 3–97. [Google Scholar]
  48. Amstrup, S.C.; McDonald, T.L.; Manly, B.F.J. Handbook of Capture-Recapture Analysis; Princeton University Press: Princeton, NJ, USA, 2005; ISBN 1400837715. [Google Scholar]
  49. McCleery, R.; Monadjem, A.; Conner, L.M.; Austin, J.D.; Taylor, P.J. Methods for Ecological Research on Terrestrial Small Mammals; Johns Hopkins University Press: Baltimore, MD, USA, 2021; ISBN 9781421442112. [Google Scholar]
  50. Wever, K.E.; Geessink, F.J.; Brouwer, M.A.E.; Tillema, A.; Ritskes-Hoitinga, M. A systematic review of discomfort due to toe or ear clipping in laboratory rodents. Lab. Anim. 2017, 51, 583–600. [Google Scholar] [CrossRef] [PubMed]
  51. Leclercq, G.C.; Rozenfeld, F.M. A permanent marking method to identify individual small rodents from birth to sexual maturity. J. Zool. 2001, 254, 203–206. [Google Scholar] [CrossRef]
  52. Prevot-Julliard, A.-C.; Henttonen, H.; Yoccoz, N.G.; Stenseth, N.C. Delayed maturation in female bank voles: Optimal decision or social constraint? J. Anim. Ecol. 1999, 68, 684–697. [Google Scholar] [CrossRef]
  53. Hoffmann, A.; Decher, J.; Rovero, F.; Schaer, J.; Voigt, C.; Wibbelt, G. Field Methods and Techniques for Monitoring Mammals; Museum für Naturkunde: Berlin, Germany, 2010; pp. 482–529. ISBN 1784-1283. [Google Scholar]
  54. Legge Provinciale 9 Dicembre 1991, n. 24. Available online: https://www.consiglio.provincia.tn.it/leggi-e-archivi/codice-provinciale/Pages/legge.aspx?uid=933 (accessed on 24 March 2023).
  55. Hill, M.O. Correspondence Analysis: A Neglected Multivariate Method. J. R. Stat. Soc. Ser. C Appl. Stat. 1974, 23, 340–354. [Google Scholar] [CrossRef]
  56. Hill, M.O.; Gauch, H.G. Detrended Correspondence Analysis: An Improved Ordination Technique. In Classification and Ordination; Springer: Berlin/Heidelberg, Germany, 1980; pp. 47–58. [Google Scholar] [CrossRef]
  57. Ter Braak, C.J.F.; Prentice, I.C. A Theory of Gradient Analysis. Adv. Ecol. Res. 1988, 18, 271–317. [Google Scholar] [CrossRef]
  58. Ter Braak, C.J.F. Ordination. In Data Analysis in Community and Landscape Ecology; Cambridge University Press: Cambridge, UK, 1995; pp. 91–274. ISBN 0521475740. [Google Scholar]
  59. Rao, C.R. The Use and Interpretation of Principal Component Analysis in Applied Research. Indian J. Stat. Ser. A 1961, 26, 329–358. [Google Scholar]
  60. Legendre, P.; Gallagher, E.D. Ecologically meaningful transformations for ordination of species data. Oecologia 2001, 129, 271–280. [Google Scholar] [CrossRef]
  61. Simone, I.; Cagnacci, F.; Provensal, C.; Polop, J. Environmental determinants of the small mammal assemblage in an agroecosystem of central Argentina: The role of Calomys musculinus. Mamm. Biol. 2010, 75, 496–509. [Google Scholar] [CrossRef]
  62. Ter Braak, C.J.F. Permutation Versus Bootstrap Significance Tests in Multiple Regression and Anova. In Bootstrapping and Related Techniques; Springer: Berlin/Heidelberg, Germany, 1992; pp. 79–85. [Google Scholar]
  63. Peters, W.; Hebblewhite, M.; Decesare, N.; Cagnacci, F.; Musiani, M. Resource separation analysis with moose indicates threats to caribou in human altered landscapes. Ecography 2013, 36, 487–498. [Google Scholar] [CrossRef]
  64. R Core Team. R. A Language and Environment for Statistical Computing; R Foundation: Indianapolis, IN, USA, 2021. [Google Scholar]
  65. Oksanen, J.; Blanchet, F.G.; Friendly, M.; Kindt, R.; Legendre, P.; Mcglinn, D.; Minchin, P.R.; O’hara, R.B.; Simpson, G.L.; Solymos, P.; et al. Package “Vegan”, Community Ecology Package, version 2.5-7; CRAN: Indianapolis, IN, USA, 2020. [Google Scholar]
  66. Wickham, H. Tidyverse: Easily Install and Load “Tidyverse”; RStudio: Boston, MA, USA, 2017. [Google Scholar]
  67. Kryštufek, B.; Shenbrot, G. Voles and Lemmings (Arvicolinae) of the Palaearctic Region; University of Maribor, University Press: Maribor, Slovenia, 2022; ISBN 9789612866112. [Google Scholar]
  68. Werner, J.R.; Krebs, C.J.; Donker, S.A.; Sheriff, M.J. Forest or meadow: The consequences of habitat for the condition of female arctic ground squirrels (Urocitellus parryii plesius). Can. J. Zool. 2015, 93, 791–797. [Google Scholar] [CrossRef]
  69. Gilman, S.E.; Urban, M.C.; Tewksbury, J.; Gilchrist, G.W.; Holt, R.D. A framework for community interactions under climate change. Trends Ecol. Evol. 2010, 25, 325–331. [Google Scholar] [CrossRef] [PubMed]
  70. Tylianakis, J.M.; Didham, R.K.; Bascompte, J.; Wardle, D.A. Global change and species interactions in terrestrial ecosystems. Ecol. Lett. 2008, 11, 1351–1363. [Google Scholar] [CrossRef] [PubMed]
  71. Deffontaine, V.; Libois, R.; Kotlík, P.; Sommer, R.; Nieberding, C.; Paradis, E.; Searle, J.B.; Michaux, J.R. Beyond the Mediterranean peninsulas: Evidence of central European glacial refugia for a temperate forest mammal species, the bank vole (Clethrionomys glareolus). Mol. Ecol. 2005, 14, 1727–1739. [Google Scholar] [CrossRef] [PubMed]
  72. Fløjgaard, C.; Morueta-Holme, N.; Skov, F.; Madsen, A.B.; Svenning, J.-C. Potential 21st century changes to the mammal fauna of Denmark—implications of climate change, land-use, and invasive species. IOP Conf. Ser. Earth Environ. Sci. 2009, 8, 012016. [Google Scholar] [CrossRef]
  73. Imholt, C.; Reil, D.; Eccard, J.A.; Jacob, D.; Hempelmann, N.; Jacob, J. Quantifying the past and future impact of climate on outbreak patterns of bank voles (Myodes glareolus). Pest. Manag. Sci. 2015, 71, 166–172. [Google Scholar] [CrossRef]
  74. Calhoun, J.B.; Casby, J.U. Calculation of home range and density of small mammals. United States Public Health Monogr. 1958, 55, 1–24. [Google Scholar]
  75. Wisz, M.S.; Pottier, J.; Kissling, W.D.; Pellissier, L.; Lenoir, J.; Damgaard, C.F.; Dormann, C.F.; Forchhammer, M.C.; Grytnes, J.A.; Guisan, A.; et al. The role of biotic interactions in shaping distributions and realised assemblages of species: Implications for species distribution modelling. Biol. Rev. Camb. Philos. Soc. 2013, 88, 15–30. [Google Scholar] [CrossRef] [PubMed]
  76. Delattre, P.; Giraudoux, P.; Baudry, J.; Quéré, J.P.; Fichet, E. Effect of landscape structure on Common Vole (Microtus arvalis) distribution and abundance at several space scales. Landsc. Ecol. 1996, 11, 279–288. [Google Scholar] [CrossRef]
  77. Janeau, G.; Aulagnier, S. Snow vole Chionomys nivalis (Martins, 1842). J. Mt. Ecol. 1997, 4, 1–11. [Google Scholar]
  78. Semenzato, P.; Cagnacci, F.; Ossi, F.; Eccel, E.; Morellet, N.; Hewison, A.J.M.; Sturaro, E.; Ramanzin, M. Behavioural heat-stress compensation in a cold-adapted ungulate: Forage-mediated responses to warming Alpine summers. Ecol. Lett. 2021, 24, 1556–1568. [Google Scholar] [CrossRef] [PubMed]
  79. Speakman, J.R.; Ergon, T.; Cavanagh, R.; Reid, K.; Scantlebury, D.M.; Lambin, X. Resting and daily energy expenditures of free-living field voles are positively correlated but reflect extrinsic rather than intrinsic effects. Proc. Natl. Acad. Sci. USA 2003, 100, 14057–14062. [Google Scholar] [CrossRef] [PubMed]
  80. Heinrichs, J.A.; Lawler, J.J.; Schumaker, N.H. Intrinsic and extrinsic drivers of source-sink dynamics. Ecol. Evol. 2016, 6, 892–904. [Google Scholar] [CrossRef]
  81. Huitu, O.; Norrdahl, K.; Korpimäki, E. Competition, predation and interspecific synchrony in cyclic small mammal communities. Ecography 2004, 27, 197–206. [Google Scholar] [CrossRef]
  82. Beever, E.A.; Hall, L.E.; Varner, J.; Loosen, A.E.; Dunham, J.B.; Gahl, M.K.; Smith, F.A.; Lawler, J.J. Behavioral flexibility as a mechanism for coping with climate change. Front. Ecol. Environ. 2017, 15, 299–308. [Google Scholar] [CrossRef]
  83. Elsen, P.R.; Tingley, M.W. Global mountain topography and the fate of montane species under climate change. Nat. Clim. Chang. 2015, 5, 772–776. [Google Scholar] [CrossRef]
  84. Tafani, M.; Cohas, A.; Bonenfant, C.; Gaillard, J.-M.; Allainé, D. Decreasing litter size of marmots over time: A life history response to climate change? Ecology 2013, 94, 580–586. [Google Scholar] [CrossRef]
  85. Bertolino, S.; Büchner, F.; Mori, E.; Büchner, S. Presence of the hazel dormouse muscardinus avellanarius at the limit of its altitudinal range. Hystrix 2016, 27, 215–218. [Google Scholar] [CrossRef]
  86. McCain, C.M. Elevational gradients in diversity of small mammals. Ecology 2005, 86, 366–372. [Google Scholar] [CrossRef]
  87. Körner, C. The use of ‘altitude’ in ecological research. Trends Ecol. Evol. 2007, 22, 569–574. [Google Scholar] [CrossRef] [PubMed]
  88. O’Farrell, M.J.; Clark, W.A.; Emmerson, F.H.; Juarez, S.M.; Kay, F.R.; O’Farrell, T.M.; Goodlett, T.Y. Use of a Mesh Live Trap for Small Mammals: Are Results from Sherman Live Traps Deceptive? J. Mammal. 1994, 75, 692–699. [Google Scholar] [CrossRef]
  89. Ylönen, H.; Jacob, J.; Kotler, B.P. Trappability of rodents in single-capture and multiple-capture traps in arid and open environments: Why don’t Ugglan traps work? Ann. Zool. Fennici 2003, 40, 537–541. [Google Scholar]
  90. Jung, T.S. Comparative efficacy of Longworth, Sherman, and Ugglan live-traps for capturing small mammals in the Nearctic boreal forest. Mammal Res. 2016, 61, 57–64. [Google Scholar] [CrossRef]
Figure 1. The study area and the three sampling sites (from left to right: grassland (A), heath (B), and rocky scree (C)).
Figure 1. The study area and the three sampling sites (from left to right: grassland (A), heath (B), and rocky scree (C)).
Animals 13 01407 g001
Figure 2. (a) Alluvial plot visualizing frequency distributions of small rodent species across habitat types in 1997 and 2016. (b,c) An RDA biplot showing the association between small rodents and habitat types in 1997 (b) and 2016 (c).
Figure 2. (a) Alluvial plot visualizing frequency distributions of small rodent species across habitat types in 1997 and 2016. (b,c) An RDA biplot showing the association between small rodents and habitat types in 1997 (b) and 2016 (c).
Animals 13 01407 g002
Table 1. Contingencies of the three rodent species across years and habitat types.
Table 1. Contingencies of the three rodent species across years and habitat types.
Species19972016
GrasslandHeathScreeGrasslandHeathScree
Chionomys nivalis3919--11
Myodes glareolus1151410107
Microtus arvalis51-94-
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ferrari, G.; Scaravelli, D.; Mustoni, A.; Armanini, M.; Zibordi, F.; Devineau, O.; Cagnacci, F.; Grasso, D.A.; Ossi, F. A Comparison of Small Rodent Assemblages after a 20 Year Interval in the Alps. Animals 2023, 13, 1407. https://doi.org/10.3390/ani13081407

AMA Style

Ferrari G, Scaravelli D, Mustoni A, Armanini M, Zibordi F, Devineau O, Cagnacci F, Grasso DA, Ossi F. A Comparison of Small Rodent Assemblages after a 20 Year Interval in the Alps. Animals. 2023; 13(8):1407. https://doi.org/10.3390/ani13081407

Chicago/Turabian Style

Ferrari, Giulia, Dino Scaravelli, Andrea Mustoni, Marco Armanini, Filippo Zibordi, Olivier Devineau, Francesca Cagnacci, Donato A. Grasso, and Federico Ossi. 2023. "A Comparison of Small Rodent Assemblages after a 20 Year Interval in the Alps" Animals 13, no. 8: 1407. https://doi.org/10.3390/ani13081407

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop