<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cristofolini, Fabiana</style></author><author><style face="normal" font="default" size="100%">Giordani, Paolo</style></author><author><style face="normal" font="default" size="100%">Gottardini, Elena</style></author><author><style face="normal" font="default" size="100%">Modenesi, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The response of epiphytic lichens to air pollution and subsets of ecological predictors: a case study from the Italian Prealps.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental pollution (Barking, Essex : 1987)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Ecological factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Lichen diversity</style></keyword><keyword><style  face="normal" font="default" size="100%">NPMR</style></keyword><keyword><style  face="normal" font="default" size="100%">Standardized protocol</style></keyword><keyword><style  face="normal" font="default" size="100%">Toblino</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><volume><style face="normal" font="default" size="100%">151</style></volume><pages><style face="normal" font="default" size="100%">308-317</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We investigated the response of epiphytic lichens to air pollution, against the background of other ecological predictors in a prealpine heterogeneous area, using Non-Parametric Multiplicative Regression (NPMR). The best NPMR model for total lichen diversity according to N environmental predictors at tree level has a cross R(2)=0.709. It includes 10 variables, belonging to three different subsets of factors: two pollution-related factors (distance in meters from the road and from the cement factory); four stand-related (habitat, heat index, LAI and elevation) and four substrate-related factors (inclination, circumference and texture and tree species). Considering separately the effects of each subset on lichen diversity, substrate- and stand-related factors produce good models with similar cross R(2) (0.490 and 0.500, respectively), whereas pollution-related factors produce a model with a lower cross R(2) (0.340). Hence, we provide information to investigate the applicability of lichen biomonitoring to complex heterogeneous areas where standardized protocols are not reliable.</style></abstract><accession-num><style face="normal" font="default" size="100%">17689161</style></accession-num></record></records></xml>