Species diversity in large herbivore communities is often explained by niche segregation allowed by differences in body mass and digestive morphophysiological features. Based on large number of gut samples in fall and winter, we analysed the temporal dynamics of diet composition, quality and interspecific overlap of 4 coexisting mountain herbivores. We tested whether the relative consumption of grass and browse differed among species of different rumen types (moose-type and intermediate-type), whether diet was of lower quality for the largest species, whether we could identify plant species which determined diet quality, and whether these plants, which could be “key-food-resources” were similar for all herbivores. Our analyses revealed that (1) body mass and rumen types were overall poor predictors of diet composition and quality, although the roe deer, a species with a moose-type rumen was confirmed as an “obligatory non grazer”, while red deer, the largest species, had the most lignified diet; (2) diet overlap among herbivores was well predicted by rumen type (high among species of intermediate types only), when measured over broad plant groups, (3) the relationship between diet composition and quality differed among herbivore species, and the actual plant species used during winter which determined the diet quality, was herbivore species-specific. Even if diets overlapped to a great extent, the species-specific relationships between diet composition and quality suggest that herbivores may select different plant species within similar plant group types, or different plant parts and that this, along with other behavioural mechanisms of ecological niche segregation, may contribute to the coexistence of large herbivores of relatively similar body mass, as observed in mountain ecosystems.

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Increasing populations of large herbivores during the last decades have had a major impact on vegetation.While several studies have looked for quantifying this impact in terms of plant biomass, plant survival or financial costs, the potential benefit of using the response of the vegetation to changes in browsing pressure by large herbivores to monitor their populations has been poorly investigated. As getting accurate estimates of density in populations of large herbivores is problematic, the use of indicators measuring the intensity of browsing might offer reliable alternative to managers. From the intensive monitoring of a roe deer population subject to an experimental manipulation of density, we looked for assessing the response of oak to changes of roe deer population size. Using a simple browsing index calculated from field data over 10 years, we found that this oak browsing index linearly increased with increasing population size of roe deer. This suggests that such an oak browsing index might be a reliable "indicator of ecological change" for monitoring roe deer populations in oak forests with natural regeneration.

We quantified the repeatability of .900 individual measures of hind foot length from 2 French populations of roe deer (Capreolus capreolus) monitored by capture-recapture. We found a high repeatability (i.e., high intra-class correlation, 0.76, 95% CI 5 0.72-0.83 and 0.92, 95% CI 5 0.91-0.95) in both populations. We also found that inexperienced observers reached a high level of intra-(1.00, 95% CI 5 0.96-1.00) and inter-observer repeatability (0.99, 95% CI 5 0.98-1.00) when measuring hind foot length of harvested animals with a tool specifically designed for this task. Managers should pay particular attention to limit measurement errors because unreliable measurements require an increased sample size to assess individual variation and can mask biological patterns.

We quantified the repeatability of >900 individual measures of hind foot length from 2 French populations of roe deer (Capreolus capreolus) monitored by capture‐recapture. We found a high repeatability (i.e., high intra‐class correlation, 0.76, 95% CI = 0.72–0.83 and 0.92, 95% CI = 0.91–0.95) in both populations. We also found that inexperienced observers reached a high level of intra‐ (1.00, 95% CI = 0.96–1.00) and inter‐observer repeatability (0.99, 95% CI = 0.98–1.00) when measuring hind foot length of harvested animals with a tool specifically designed for this task. Managers should pay particular attention to limit measurement errors because unreliable measurements require an increased sample size to assess individual variation and can mask biological patterns.