Introduction

Diet characterizes a central aspect of a species’ ecological niche (Simberloff and Dayan 1991). It compels the metabolic rates of organisms (Brown et al. 2004) and determines the functional positions and trophic interactions of species in ecosystems (Duffy 2002). Diet may be significant for species diversification (Price et al. 2012; Cantalapiedra et al. 2014) and macroecological distribution (Kissling et al. 2009, 2012). When examining dietary composition—if taxonomic identification is possible—the lowest taxonomic rank (i.e., species level) is typically used (e.g., Schai-Braun et al. 2015; Erickson et al. 2017; Szép et al. 2018), with higher taxonomic ranks employed if identification at the species level is not possible (e.g., Schai-Braun et al. 2015; Erickson et al. 2017; Szép et al. 2018). This is generally considered to amount to a loss of information. It has been shown, however, that some species are selective in regard to dietary items at different levels of taxonomy (e.g., snakes; Halstead et al. 2008). It therefore seems possible that detectability of dietary composition may vary with respect to taxonomy rank. Furthermore, it is questionable whether higher taxonomic ranks inevitably correspond to direct loss of information and hence are to be avoided a priori.

Dietary composition for the same species can vary across the greater landscape as habitats, and with them the availability of certain food types, change (e.g., Nissen et al. 2013; Requier et al. 2015). For example, the diet of roe deer (Capreolus capreolus) inhabiting agricultural areas consists of a completely different flora than that of roe deer living in coniferous forests (Cornelis et al. 1999). Moreover, animals select or avoid different food types depending on food availability (Krebs 1989). Habitat diversity seems to have an inconsistent influence on diet breadth, however. For example, the diet breadth of common kestrels (Falco tinnunculus) correlates negatively with landscape heterogeneity (Navarro-López and Fargallo 2015), whereas for omnivorous carnivores, habitat diversity correlates positively with dietary diversity (Kauhala and Ihalainen 2014). It remains unclear whether specific trends concerning diet breadth are applicable to different foraging strategies (i.e., carnivores, omnivores, or herbivores). Furthermore, it is likely that the dietary composition of herbivores varies with the extent of plant species diversity in a given landscape.

The diet of Lepus species typically consists of grasses and herbs during summer or in lowland areas (Schai-Braun and Hackländer 2016). At higher elevations or during winter months, Lepus switch to browsing on wooden plant parts such as twigs, branches, and bark (Schai-Braun and Hackländer 2016). The European hare (Lepus europaeus) has a strong selection for weed and grasses in spring, i.e., at the beginning of the vegetation growth period, compared to the rest of the year (Schai-Braun et al. 2015). While the diet selection of some Lepus species such as the North American snowshoe hare (Lepus americanus, e.g., Seccombe-Hett and Turkington 2008; Smith et al. 1988) and the European hare (e.g., Jennings et al. 2006) has been examined, few diet selection studies have hitherto been conducted on mountain hares (Lepus timidus, found in Europe and Asia) as this species lives in areas not readily accessible to humans. Mountain hares are grazers during the plant growing season, with plant species determined as food sources including ling (Calluna vulgaris), cotton grass (Eriophorum spp.), and various other grasses (Hewson 1962; Johannessen and Samset 1994; Hulbert and Iason 1996; Dingerkus and Montgomery 2001). During the plants’ dormant season, mountain hares transition to browsing on items such as gorse (Ulex europaeus), juniper (Juniperis communis), and soft rush (Juncus effuses; Hewson 1962; Johannessen and Samset 1994; Hulbert and Iason 1996; Dingerkus and Montgomery 2001). Roughly categorized, the recorded diet for the subspecies Alpine mountain hare (L. t. varronis) consists of gymnosperms (such as conifers, 47.0%), graminoids (grass-like plants, 32.5%), dwarf shrubs (short woody plants, 8.5%), forbs (herbaceous flowering plants, 2.8%), and bryophytes (mosses, 0.6%) (Rehnus et al. 2013). To date, however, food availability has not been incorporated in dietary studies on Alpine mountain hares, resulting in a lack of understanding on diet as a function of locale within the landscape. As an example, it is expected that plant group use will vary across the landscape as the Alpine mountain hare can exist at altitudes between 800 and 2800 m a.s.l. Not only does the plant composition change along this elevation gradient (Körner 2003; Sundqvist et al. 2013), but plant diversity also decreases with increasing elevation in the Alps (Theurillat et al. 2003).

The overall goal of this study was to investigate the diet of Alpine mountain hares as a function of landscape locale over time. We predicted that (1) the hares’ selected diet would be composed of mostly grasses and herbs during the vegetation growth period; (2) the hares’ diet breadth would be greater and a larger number of different plant types would be selected at the beginning of the vegetation growth period, since more plant types with new leaves are available at this time than at the end of the vegetation growth period; (3) the hares would have a greater diet breadth and select more different plant types at lower elevations as plant diversity decreases with increasing elevation in the Alps; (4) hares living in landscapes with high plant diversity would exhibit a greater diet breadth and more selected plant types than hares inhabiting landscapes with low plant diversity; (5) higher orders of taxonomic ranking of dietary plants would not lead to a loss of dietary information. We examined these predictions by analyzing the botanical composition of Alpine mountain hare fecal pellets and comparing the obtained results with our assessments of food plant availability at the beginning and end of the vegetation growth period in two different landscape types at different elevation ranges in the Alps during two subsequent years.

Materials and methods

Study area

The study was conducted in 2014 and 2015 in two areas located in the Alps near Dalaas (47° 7′ N, 10° 0′ E) in Vorarlberg, Austria. The two areas differed in food diversity and cover characteristics for hares, since they featured very different landscape types. The first area (900 ha, elevation range 1000 to 2000 m a.s.l.) consisted of a subalpine spruce forest on acidic soil. Due to the soil characteristics, this site featured low plant species diversity. By contrast, the second area (1050 ha, elevation range 1600 to 2300 m a.s.l.) consisted of a species-rich limestone landscape with anthropogenic open areas (i.e., a vegetation mosaic; Jaccardʼs index comparing the biodiversity levels between the two sites = 0.068). Alpine mountain hares live in both study areas, although they are allopatric at higher elevations and sympatric with the European hares at lower elevations. This information was initially provided by local hunters and confirmed through observations made by the research team during the study period. Alpine mountain hares are not hunted in either study area, and tourism within the study areas occurs only during the summer months.

Data collection

To determine the diet of the mountain hares in the study areas, fecal pellets were collected at the beginning (July) and end (September) of the vegetation growth period in both areas in each year of the study. In total, 58 randomly selected 400 m2 (20 × 20 m, 0.04 ha) plots along the elevation gradient were used for this purpose. The plots were initially cleared of all hare fecal pellets, then revisited three nights later to collect the newly deposited fecal pellets. Feces were mostly found in piles of several pellets likely produced by one individual hare. Each pile was divided into two parts, with one part placed in a 15-ml tube filled with 96% alcohol for genetic Alpine mountain hare identification and the second part placed in a plastic bag for botanical analysis. To avoid human DNA contamination, fecal pellets were collected with laboratory gloves using a different pair of laboratory gloves for the collection of each set of fecal pellets.

Dietary composition and plant availability

DNA was extracted from the fecal pellets using the QIAamp DNA Stool Mini Kit (Qiagen, Valencia, California, USA). A molecular marker (219 bp) of the mitochondrial control region was amplified in 311 fecal samples using the primers Lmtof1 and LmtNr1 (Palumbi et al. 2002), and sequencing was performed after purification of 171 amplified samples using the Lmtof1 primer. Only fecal pellets confirmed as being from mountain hares (96.5% of the amplified samples) were considered for further analysis in the paired fecal sample. To determine dietary composition, epidermal fragments in the fecal pellets were identified under a microscope (Chapuis 1990; Reichlin et al. 2006) using a collection of known epidermis samples previously compiled by the project team as reference (see Holechek et al. 1982). The percentage of distinctive plant fragments, identified to the species level if possible, was estimated, with the sum of all plant species percentages found in a set of fecal pellets representing the dietary composition of the specific individual. Plant fractions that accounted for less than 1% of items were still recorded as being present.

Plant availability in the landscape was determined by taking an inventory of all plants present in each fecal collection plot at each fecal pellet collection timepoint. All plants within a 25-ha circular plot placed around each 0.04 ha fecal plot were inventoried, as this was assumed to be the respective hares’ potential feeding area during the previous 24 h (Smith et al. 2004). We estimated the percent coverage of non-vital (i.e., woody) and vital (i.e., leafy) parts of each plant species as well as the amount of bare soil (Reichlin et al. 2006). Plant species were identified according to Fischer et al. (2008), with plant nomenclature following Lauber and Wagner (Lauber et al. 2018a). In the field, the Flora Helvetica App was used for species determination (Lauber et al. 2018b). Rare plants (less than 1% coverage) were still listed as being present. Hares only consume vital plant parts, ignoring non-vital plant parts and bare soil (review in Zörner 1996; Averianov et al. 2003). The sum of the vital parts of all plant species in a 25-ha circle around fecal plots in which one or more hare fecal pellet piles were found thus comprised the total food available to the respective hares.

Statistical analysis

All statistical analyses were carried out using the software R 3.4.2 (R Development Core Team 2018). Dietary selectivity was measured using Chesson’s Electivity Index ε (Chesson 1983), an index based on Manly’s alpha selection index (Manly et al. 1972).

$$ {\alpha}_i=\frac{r_i}{n_i}\times \frac{1}{\sum \limits_{j=1}^m\left(\frac{r_j}{n_j}\right)} $$
(1)

(1): Manly’s alpha selection index (α) (Manly et al. 1972). αi = Manly’s selection index for plant species i; ri, rj = proportions of plant species i and j in the diet (i and j = 1, 2, 3, …, m); ni, nj = proportions of plant species i and j available; m = number of potential species.

$$ {\varepsilon}_i=\frac{m{\alpha}_i-1}{\left(m-2\right){\alpha}_i+1} $$
(2)

(2) Electivity index ε (Chesson 1983). m = number of potential dietary types, αi = Manly’s selection index for plant species i.

Chesson’s Electivity Index has the advantage that individual dietary preferences are comparable for a varying number of food types available to different individuals (Krebs 1989). The index ranges between − 1 and + 1; negative values are related to avoidance, whereas positive values indicate selection. The Chesson’s Electivity Indices were calculated for each plant species, genus, family, and order in each fecal pellet sample. We then examined the Chesson’s Electivity Indices across all samples combined as well as between study areas (spruce forest vs. vegetative mosaic), seasons (July vs. September), and low vs. high elevation ranges (i.e., 1200 to 1650 m a.s.l. versus 1651 to 2099 m a.s.l.). The reliability of Chesson’s Electivity Index was tested by using the bootstrap method (Dixon 1993). The original εi values (εi = Chesson’s Electivity Index for the food type i) were resampled 1000 times with replacement and an accelerated bootstrap confidence interval was calculated. The accelerated bootstrap adjusted the confidence interval for bias and skewness (Efron and Tibshirani 1993). Bootstrapping was done using the R package boot (Canty and Ripley 2019). If the lower and upper 95% CI featured different algebraic signs, the selection of the respective food type was not significant (n.s.). εi values for forage components were only bootstrapped if they were selected by six or more hares, as smaller sample sizes provide unreliable results.

Results

Alpine mountain hare fecal pellets were collected from 16 plots across an altitudinal range of 1235 to 2073 m a.s.l., with 9 plots located in the spruce forest and 7 plots located in the vegetation mosaic. Between 1 and 15 piles of fecal pellets with a median of 2 piles (SD = 2.812) were found on each of the plots during each collection visit, and 165 fecal samples from these piles were genetically identified as coming from Alpine mountain hares. Of these, 101 fecal samples—80 of which were collected in July and 21 in September—were analyzed botanically. Of these 101 botanical samples, 37 were collected at an elevation range of 1200 to 1650 m a.s.l. and 64 at an elevation range of 1651 to 2100 m a.s.l. In terms of landscape type, 60 of the botanical samples were collected in spruce forest plots and 41 in vegetation mosaic plots. In total, 76 plant species in 68 genera, 37 families, and 23 orders were identified in the fecal pellets (see Online Resource 1), whereas 266 plant species in 173 genera, 63 families, and 36 orders were recorded as being available in the environment (see Online Resource 2).

Overall Alpine mountain hare diet composition

Nine plant species were found in more than six fecal pellet piles and thus provided reliable Chesson’s Electivity Indices (Fig. 1a, Table 1). Of these, one species (Avenella flexuosa) was avoided by Alpine mountain hares, one (Picea abies) was selected, and seven plant species (Carex brunnescens, Carex ferruginea, Luzula sylvatica, Rubus idaeus, Sorbus aucuparia, Vaccinium myrtillus, Vaccinium vitis-idaea) were consumed by the hares in the same proportion as they were available. Eleven plant genera provided reliable Chesson’s Electivity Indices (Fig. 1b). Of these, four plant genera (Avenella sp., Blechnum sp., Carex sp., Juncus sp) were avoided, two (Picea sp., Salix sp) were selected, and five (Luzula sp., Poa sp., Rubus sp., Sorbus sp., Vaccinium sp) were consumed neutrally. Of the ten plant families providing reliable indices, one (Juncaceae) was avoided, three (Cyperaceae, Pinaceae, Salicaceae) were selected, and six (Asteraceae, Blechnaceae, Ericaceae, Fabaceae, Poaceae, Rosaceae) were neutrally consumed by Alpine mountain hares (Fig. 1c). Finally, eight plant orders provided reliable Chesson’s Electivity Indices. Of these, one order (Polypodiales) was avoided, two (Ericales, Poales) were selected, and five (Asterales, Coniferales, Fabales, Malpighiales, Rosales) were consumed neutrally by the hares (Fig. 1d).

Fig. 1
figure 1

Chesson’s Electivity Indices in Alpine mountain hare feces (n = 101) and their distributions over 1000 bootstrap resamples (mean and 95% confidence interval) for (a) plant species, (b) plant genera, (c) plant families, and (d) plant orders found in n ≥ 6 fecal samples (sample size in brackets is the number of fecal samples in which each plant species/genus/family/order was found). The fecal samples were collected in Vorarlberg, Austria, during the years 2014 and 2015. Non-significant results cross the vertical line at zero. See text for statistical details

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Table 1 Comparison of the distribution of Chesson’s Electivity Indices over 1000 bootstrap resamples for (a) plant species, (b) plant genera, (c) plant families, and (d) plant orders calculated for all samples combined as well as separately by season, elevation, and study site. The Alpine mountain hare fecal samples were collected in Vorarlberg, Austria, during the years 2014 and 2015. Sample size in brackets is the number of fecal samples in which each plant taxon was found. Note that only plant taxa found in n ≥ 6 fecal samples are included. Each plant taxon was selected (+), avoided (−), or not significantly selected (n.s.) by the hares
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Effect of taxonomic plant identification level on diet composition

Selection of specific plant taxa was more frequent at the family (3 families) and order (2 orders) levels, while avoidance was more frequently encountered at the genus (4 genus) level (Fig. 2, Table 1). Despite most of the Chesson’s Electivity Indices being neutral across all identification levels, identification at the genus level revealed the most information in terms of hare selection and avoidance tendencies (Fig. 2), followed by the family and order levels. Little additional information could be gleaned at the species level, and trends were typically consistent from the genus to the order level (Fig. 2). Furthermore, plant identification at the genus level revealed the highest number of calculated indices (+, −, n.s.).

Fig. 2
figure 2

Number of positive (+), negative (−), and non-significant distributions of Chesson’s Electivity Indices over 1000 bootstrap resamples determined at different taxonomic identification levels. The Alpine mountain hare fecal samples (n = 101) were collected in Vorarlberg, Austria, during the years 2014 and 2015. Note that only plant taxa found in n ≥ 6 fecal samples are included

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Influence of landscape type on diet composition

Hares exhibited a greater diet breadth in the low-diversity spruce forest landscape, where they consumed 9 genera (7 species, 7 families, 5 orders) of plants; in the mosaic vegetation landscape, they consumed only 4 genera (4 species, 4 families, 4 orders; Fig. 3; Table 1). While there was a higher variety in the diet of hares within spruce forests, the individuals also had negative associations with more plant types within this habitat, choosing them less often than they were available (Fig. 3). Hares in low-diversity habitats frequently consumed plants of the same families as hares in mosaic habitats, although the hares in mosaic habitats also consumed flowering plants of the order Asterales (Fig. 3). For both habitat types, the largest number of positive associations with plants occurred at the order level (Fig. 3). Only the plant order Ericales was selected in both landscape types.

Fig. 3
figure 3

Comparison of the distribution of Chesson’s Electivity Indices over 1000 bootstrap resamples for plant species, plant genera, plant families, and plant orders by study area. The Alpine mountain hare fecal samples were collected in Vorarlberg, Austria, during the years 2014 and 2015. Squares represent the spruce forest landscape with low plant species diversity, whereas circles represent the mosaic vegetation landscape with high plant species diversity. Note that only plant taxa found in n ≥ 6 fecal samples are included. Plant taxon was selected (+), avoided (−), or not significantly selected by the hares

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Influence of vegetation period on diet composition

Diet breadth was greater at the beginning (6 species, 7 genera, 8 families, 7 orders) than at the end (4 species, 5 genera, 6 families, 4 orders) of the vegetation growth period (Fig. 4, Table 1). Plants of certain orders (Asterales, Polypodiales, Fabales, Malpighiales) were only consumed at the beginning of the vegetation growth period, whereas one was used only at the end of the vegetation growth period (Rosales; Fig. 4). Hares fed on plants of the orders Poales, Coniferales, and Ericales throughout the vegetation growth period. They had more positive than negative associations with specific plant types at the beginning of the vegetation growth period, choosing them more often than avoiding them. By comparison, positive and negative associations were balanced at the end of the vegetation growth period (Fig. 4). Only at the family and the order level could a few similarities in regard to avoidance and selection be determined: the plant family Juncaceae was avoided at both the beginning and end of the vegetation growth period, while the plant order Ericales was selected throughout the vegetation growth period (Fig. 4).

Fig. 4
figure 4

Comparison of the distribution of Chesson’s Electivity Indices over 1000 bootstrap resamples for plant species, plant genera, plant families, and plant orders by vegetation growth period. The Alpine mountain hare fecal samples were collected in Vorarlberg, Austria, during the years 2014 and 2015. Squares represent the beginning of the vegetation growth period (July), whereas circles represent the end of the vegetation growth period (September). Note that only plant taxa found in n ≥ 6 fecal samples are included. Symbols indicate that a plant taxon was selected (+), avoided (−), or not significantly selected by the hares

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Influence of elevation range on diet composition

Hares showed a greater diet breadth at high elevations, consuming 7 families (6 species, 7 genera, 6 orders) of plants compared to hares inhabiting low elevations, which only consumed 5 families (3 species, 4 genera, 4 orders; Fig. 5; Table 1). While there was a higher variety in the diet of hares at high elevations, they also had more negative than positive associations with plant types (Fig. 5). At low elevations with lower dietary variety, hares had only positive and no negative associations with plant types (Fig. 5). Plants of the order Ericales were selected regardless of the elevation range (Fig. 5).

Fig. 5
figure 5

Comparison of the distribution of Chesson’s Electivity Indices over 1000 bootstrap resamples for plant species, plant genera, plant families, and plant orders by elevation range. The Alpine mountain hare fecal samples were collected in Vorarlberg, Austria, during the years 2014 and 2015. Squares represent low elevation ranges (1200 to 1650 m a.s.l.), whereas circles represent high elevation ranges (1651 to 2099 m a.s.l.). Note that only plant taxa found in n ≥ 6 fecal samples are included. Symbols indicate that a plant taxon was selected (+), avoided (−), or not significantly selected by the hares

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Discussion

Alpine mountain hare diet composition

Despite the fact that various diet analyses of hares in general (Schai-Braun and Hackländer 2016) as well as of mountain hares (Hewson 1962; Johannessen and Samset 1994; Dingerkus and Montgomery 2001) or Alpine mountain hares (Rehnus et al. 2013) have shown that grasses are a major food component, our study revealed that Alpine mountain hares did not select for any grass species (family Poaceae)—in fact, the only plant species avoided was a grass species (Avenella flexuosa). The only identified plant species selected by the hares was a conifer, which corroborates previous literature indicating that the major portion of the Alpine mountain hare’s diet is gymnosperms (Rehnus et al. 2013). Furthermore, several of the neutrally consumed species (sedges, dwarf shrubs) were in agreement with the broad taxonomic plant groups describing the diet of the Alpine mountain hare (Rehnus et al. 2013). Overall dietary selections remained the same at the genus and family levels. Trees were selected (Picea sp., Salix sp. respectively Pinaceae, Salicaceae), whereas grasses and dwarf shrubs were neutrally consumed (Poa sp., Vaccinium sp. respectively Ericaceae, Poaceae). However, diet selection changed at the order level. Ericales and Poales were selected, which is in line with previous literature (Hewson 1962; Dingerkus and Montgomery 2001; Rehnus et al. 2013; Schai-Braun and Hackländer 2016), whereas Coniferales were neutrally consumed. The change in dietary selections at the order level may be reflective of the fact that various families are merged into one order in the Alps.

Effect of taxonomic plant identification level

The most informative taxonomic level of plant identification was the genus level, as it produced the highest total number (n = 48) of calculated selection indices across both elevation ranges and landscape types as well as throughout the vegetation growth period. At the family and order level, knowledge gain was roughly the same across our variables of interest (n = 15 and 16 indices, respectively). By far, the least amount of information was obtained at the species level of plant identification. This is due to the fact that plant fragments in fecal pellets may be identified imperfectly due to the digestion processes (Putman 1984) and, possibly, due to the deterioration of the fecal pellets in the air (Chapman 2004; Phillips et al. 2018). It is possible to avoid these potential constraints in the future by using DNA barcoding (Valentini et al. 2009; Ibanez et al. 2013), though we recognize the economic constraints this method entails. If DNA barcoding is not possible but selections at the species level are relevant, we therefore suggest calculating the indices at the genus level as well to further clarify the effect of taxonomic plant identification level on the results.

Influence of landscape type on diet composition

Hares in the spruce forest landscape frequently consumed the same types of plants as hares in the mosaic landscape. This suggests that hares in the spruce forest had access to the same types of plants (other than Asterales) as those in the mosaic landscape. Interestingly, hares inhabiting the spruce forest landscape with low plant diversity exhibited a greater diet breadth than those living in the mosaic landscape with high plant diversity. However, hares in the spruce forest landscape chose numerous plant types less often than they were available. This may indicate that these hares do not have access to certain plant types in the quantity they require and therefore have to diversify their selection of food plants. It seems as though less diet variability is necessary for herbivorous mammals such as the Alpine mountain hare in diverse habitats than in homogenous habitats, as there are enough nutritious food plants available.

Influence of vegetation period on the diet selection of Alpine mountain hares

In accordance with other diet and diet preference studies (e.g., Nissen et al. 2013; Requier et al. 2015), the selections and avoidances of Alpine mountain hares varied broadly between the beginning and end of the vegetation growth period due to changing food availability. Plant availability throughout the growth period is probably the reason why some plant orders were consumed only at the beginning or the end of the vegetation growth period and some throughout the entire vegetation growth period. At all taxon levels, the diet breadth was greater at the beginning than at the end of the vegetation period. Furthermore, the hares had more positive than negative associations with plant types at the beginning of the vegetation growth period, suggesting that more suitable food sources were available at the beginning of the growth period than at its end. We recorded an avoidance of the plant family Juncaceae (representatives: Juncus inflexus, Juncus sp., Luzula multiflora, Luzula sylvatica, Luzula sp) throughout the vegetation period, which seems to indicate that Alpine mountain hares have enough other plant families available throughout the vegetation growth period to avoid Juncaceae as food plants. The plant order Ericales was continuously selected throughout the vegetation growth period in both elevation ranges and in both landscape types. This implies that appropriate plant species of this order were not only available throughout the vegetation period in both elevation ranges and in both landscape types, but also that these plants (representatives: Erica carnea, Vaccinium gaultherioides, Vaccinium myrtillus, Vaccinium vitis-idaea, Vaccinium sp., Primula farinosa) were highly attractive to the Alpine mountain hares.

Influence of elevation range on diet composition

Comparing the diet of hares inhabiting low and high elevation ranges revealed similar results as the comparison between low and high plant diversity landscapes. At higher elevations, hares showed a higher variety in their diet and more negative associations with plant types than at lower elevations. We suggest that the hares do not have access to the preferred plant types in the quantity they need at higher elevation ranges and are thus forced to diversify their food sources.

Conclusion

In conclusion, our results imply that Alpine mountain hares prefer ligneous plants even when grasses and herbs are available, whereas grasses are neutrally consumed or even avoided. The number of findings obtained by calculating preference indices was highest at the genus level of plant identification, whereas by far, the least information was gleaned at the species level. Hares inhabiting landscapes with low plant diversity or at higher elevations exhibited a higher variety in their diet and more negative associations with plant types than hares living in landscapes with high plant diversity or at lower elevations. We suggest that hares do not have access to their preferred plant types in the quantity they need in landscapes with low plant diversity or at higher elevations, and that they have to diversify their consumed food plant types as a result.