Prevalence of mandibular osteomyelitis in roe deer (Capreolus capreolus) in Slovenia.

Mandibular osteomyelitis in free-ranging cervids is a rare, but eventually fatal, disease. We examined 41,895 defleshed mandibles of roe deer collected throughout Slovenia in 2007. Mandibles from 14,679 fawns had no signs of osteomyelitis, and were excluded from further analysis. Of the remaining 27,216 specimens, chronic osteomyelitis ("lumpy jaw") was found in 113 mandibles (4.2%; 7.0% of adults). The majority of cases were observed from the Mediterranean and subalpine regions, near larger cities and thermal power plants. There was no statistically significant correlation between severity of the mandibular osteomyelitis and body weight. Females were more frequently affected than males. Coarse and abrasive food, and to some extent dental fluorosis, are the most probable triggers for development of lesions.

Monitoring air quality with lichens: a comparison between mapping in forest sites and in open areas.

Four different methods of epiphytic lichen mapping were used for the assessment of air quality in the region under the influence of the Sostanj Thermal Power Plant (Salek Valley, Slovenia). Three methods were based on the presence of different lichen species (VDI, EU and ICP-Forest), the fourth on a frequency and coverage assessment of different growth forms of epiphytic lichens, e.g. crustose, foliose and fruticose (SI). A comparison of the results from the assessment of air quality between forest sites (ICP-Forest, SI) and open areas (VDI, EU and SI), obtained by the different methods of epiphytic lichen mapping, is presented in the contribution. Data showed that lichen species richness is worse in forest sites in comparison with open areas. From the data obtained it can be concluded that epiphytic lichen mapping in open areas is a better method for the assessment of air pollution in a given area than mapping in forest sites. The species-based methods in open areas are more powerful and useful for air quality assessment in polluted research areas than the SI and ICP-Forest methods.