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The variability of biological data is a main constraint affecting the quality and reliability of lichen biomonitoring surveys for estimation of the effects of atmospheric pollution. Although most epiphytic lichen bioindication surveys focus on between-site differences at the landscape level, associated with the large scale effects of atmospheric pollution, current protocols are based on multilevel sampling, thus adding further sources of variation and affecting the error budget. We test the hypothesis that assemblages of lichen communities vary at each spatial scale examined, in order to determine what scales should be included in future monitoring studies. We compared four sites in Italy, along gradients of atmospheric pollution and climate, to test the partitioning of the variance components of lichen diversity across spatial scales (from trunks to landscapes). Despite environmental heterogeneity, we observed comparable spatial variance. However, residuals often overcame between-plot variability, leading to biased estimation of atmospheric pollution effects.

The results of a survey aimed at testing the hypothesis that the lichen Evernia prunastri, when transplanted in an agricultural area with high atmospheric NH(3) concentrations, would respond to NH(3) air pollution accumulating nitrogen in its thalli and showing changes in the concentration of assimilation pigments are presented. The results confirmed the hypothesis and showed that all lichen transplants accumulated nitrogen, suggesting that besides the release of atmospheric ammonia by animal stockfarms, the use of N-based fertilizers and the deposition of N-rich dust also may contribute to the high nitrogen availability to lichens in the study area. The result indicated that in the study area both the critical level of NH(3) and the critical load of N for lichens are exceeded and physiological damage is to be expected in sensitive species. The results of assimilation pigments in E. prunastri, with a decrease in the concentration of chlorophylls a and b and carotenoids, as well as chlorophyll degradation to phaeophytin, confirmed this hypothesis. However, owing to the limited data set and pending further studies, these conclusions should be considered as limited to the study area.

The results of 2 biomonitoring surveys carried out over a span of 7 years (1996-2003) in the Province of Ancona (central Italy) using the diversity of epiphytic lichens are reported. According to a recent standardisation process, in 2003 a different protocol was adopted, raising the problem of data comparability with the previous study. For this reason, a 'pilot study' was carried out in which the two sampling tactics were both used. The high correlation between biodiversity values proved by the results of this study, let to compare the two lichen diversity data set and to identify the impacts on lichen communities of temporal variations of atmospheric quality in the study area, showing a reduction of stations classified as 'altered' and an increase in stations classified as 'semi-altered'. Furthermore, possible reduction of the sampling effort was detected performing a study on the sampling density of the survey area, indicating in a 6 x 6 km grid the best density to adopt in order to save financial resources for the future.

A total of 65 operators involved in lichen mapping studies in central and northwestern Italy underwent quality control tests during five lichen biomonitoring workshops organized between 1999 and 2000. The results showed that 75% quantitative accuracy and 90% quantitative precision can be regarded as satisfactory levels for lichen biodiversity data; 65% proved to be sufficient for accuracy of taxonomic identification in the field. Average correct assignment of the interpretative naturality/alteration class was only 48.7%. The results indicated the need for taxonomic training.