<?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%">Minganti, Vincenzo</style></author><author><style face="normal" font="default" size="100%">Drava, Giuliana</style></author><author><style face="normal" font="default" size="100%">De Pellegrini, Rodolfo</style></author><author><style face="normal" font="default" size="100%">Anselmo, Marco</style></author><author><style face="normal" font="default" size="100%">Modenesi, Paolo</style></author><author><style face="normal" font="default" size="100%">Malaspina, Paola</style></author><author><style face="normal" font="default" size="100%">Giordani, Paolo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The bark of holm oak (Quercus ilex, L.) for airborne Cr(VI) monitoring.</style></title><secondary-title><style face="normal" font="default" size="100%">Chemosphere</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bioindicator</style></keyword><keyword><style  face="normal" font="default" size="100%">ET-AAS</style></keyword><keyword><style  face="normal" font="default" size="100%">Hexavalent chromium</style></keyword><keyword><style  face="normal" font="default" size="100%">Tree bark</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this work, the bark of holm oak was used as a bioindicator to study the atmospheric distribution of Cr(VI). The chosen method (alkaline extraction and atomic absorption determination) was found in the literature, adapted for use with the matrix involved, and validated. The method had some limits, but provided an excellent estimation of Cr(VI) concentrations with good sensitivity and a reasonable time of analysis and cost. Thirty-four samples of holm oak collected in three areas characterised by different possible sources of pollution (the area near a former chromate production plant, an urban area, and a rural &quot;reference&quot; area) were analysed, obtaining concentrations ranging from 1.54 to 502μgg(-1) near the industrial plant, ranging from 0.22 to 1.35μgg(-1) in the urban area, and mostly below the detection limit (0.04μgg(-1)) in the rural area. The bark of holm oak proved to be a good bioindicator to detect Cr(VI) in the environment. The extraction procedure followed by atomic absorption analysis is simple, provides good sensitivity, and it is suitable for environmental studies.</style></abstract><accession-num><style face="normal" font="default" size="100%">24630451</style></accession-num></record><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%">Giordani, Paolo</style></author><author><style face="normal" font="default" size="100%">Incerti, Guido</style></author><author><style face="normal" font="default" size="100%">Rizzi, Guido</style></author><author><style face="normal" font="default" size="100%">Rellini, Ivano</style></author><author><style face="normal" font="default" size="100%">Nimis, Pier Luigi</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%">Functional traits of cryptogams in Mediterranean ecosystems are driven by water, light and substrate interactions</style></title><secondary-title><style face="normal" font="default" size="100%">JOURNAL OF VEGETATION SCIENCE</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bryophytes</style></keyword><keyword><style  face="normal" font="default" size="100%">functional traits</style></keyword><keyword><style  face="normal" font="default" size="100%">lichens</style></keyword><keyword><style  face="normal" font="default" size="100%">Photosynthetic strategy</style></keyword><keyword><style  face="normal" font="default" size="100%">Reproductive strategy</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><publisher><style face="normal" font="default" size="100%">WILEY-BLACKWELL</style></publisher><pub-location><style face="normal" font="default" size="100%">111 RIVER ST, HOBOKEN 07030-5774, NJ USA</style></pub-location><volume><style face="normal" font="default" size="100%">25</style></volume><pages><style face="normal" font="default" size="100%">778-792</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Question Poikilohydric organisms can survive desiccation without damage and recover soon after re-wetting. In this work we explore the realized niches of epilithic, poikilohydric organisms, i.e. lichenized and lichenicolous fungi and bryophytes, grouped into 15 functional guilds based on growth form, reproductive strategy and photosynthetic traits. We hypothesize that in Mediterranean ecosystems, the distribution of these guilds is controlled by water availability and solar radiation, together with characteristics of the substrate. Location Western Sardinia (Italy). The area hosts Mediterranean Quercus ilex forests on basaltic substrata within an agroforestry landscape. Methods The presence or absence of species from each guild was recorded in 1025 small quadrats (10x10cm). Four environmental variables were measured: solar radiation, microtopography (potential water run-off), substrate roughness and number of cracks. The occurrence of each guild was related to environmental variables using non-parametric multiplicative regression, and ecological niches of the guilds were derived from those models. Results The occurrence of all functional guilds varied significantly according to the selected environmental variables. In most cases, solar radiation was the most important variable; TI was included first in the model of two sorediate guilds, whereas four sexually reproducing functional guilds had surface relief as first variable. The growth forms were separated along a gradient of increasing solar radiation, whereas water run-off and surface roughness mainly discriminated reproductive strategies and photobionts. Vegetatively reproducing guilds with other photobionts than Euphyta-like pigments were confined to the border of the ecological space, defined by gradients of environmental factors, which was largely occupied by more competitive, sexually reproducing organisms. Conclusions Functional traits of epilithic poikilohydric organisms were associated with ecological adaptations to the stressful environment of Mediterranean outcrops. We showed that their response in terms of probability of occurrence is coherent with quantitative gradients of solar radiation and water availability at the micro-scale.</style></abstract></record><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><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/17689161</style></url></web-urls></urls><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><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 17689161</style></notes></record><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>