Giordani Paolo
DIP.TE.RIS., University of Genova, corso Dogali 1M, I-16136 Genova, Italy.
Environ Pollut. 2007 Mar;146(2):317-23. doi: 10.1016/j.envpol.2006.03.030. Epub 2006 May 19.
This work provided additional information for a better interpretation of lichen diversity values in biomonitoring studies of air pollution. The effects of 12 predictive variables were estimated for the Genova province (NW Italy) by means of a non-parametric model. The diversity of epiphytic lichens was strictly correlated with mean annual rainfall and mean annual temperature. Different variables were found to affect the lichen diversity in urban vs. forested areas. In urban areas, air pollutants, mainly SO2, are still the main limiting factor, even if under ameliorating conditions this relationship becomes less significant. In forested areas, harvesting and forest fires showed a predominant effect, suggesting the need to develop a more defined sampling protocol to estimate atmospheric pollution in such ecosystems.
这项工作为在空气污染生物监测研究中更好地解释地衣多样性值提供了更多信息。通过非参数模型估算了意大利西北部热那亚省12个预测变量的影响。附生地衣的多样性与年平均降雨量和年平均温度密切相关。发现不同变量对城市和森林地区的地衣多样性有不同影响。在城市地区,空气污染物(主要是二氧化硫)仍然是主要限制因素,即使在改善的条件下,这种关系也变得不那么显著。在森林地区,采伐和森林火灾显示出主要影响,这表明需要制定更明确的采样方案来估算此类生态系统中的大气污染。