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Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen

González,CM, Pignata,ML and Orellana,L 2003, Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen, Science of the total environment, vol. 312, no. 1-3, pp. 245-253, doi: 10.1016/S0048-9697(03)00253-5.

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Title Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen
Author(s) González,CM
Pignata,ML
Orellana,LORCID iD for Orellana,L orcid.org/0000-0003-3736-4337
Journal name Science of the total environment
Volume number 312
Issue number 1-3
Start page 245
End page 253
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2003-08
ISSN 0048-9697
Keyword(s) Air pollution
Chemical parameters
Lichenic bioindicators
Redundancy analysis
Summary The lichens Ramalina celastri (Spreng.) Krog & Swinsc., Punctelia microsticta (Müll. Arg.) Krog and Canomaculina pilosa (Stizenb.) Elix & Hale were transplanted simultaneously to 17 urban-industrial sites in a northwestern area of Córdoba city, Argentina. The transplantation sites were set according to different environmental conditions: traffic, industries, tree cover, building height, topographic level, position in the block and distances from the river and from the power plant. Three months later, chlorophyll a, chlorophyll b, phaeophytin a, soluble proteins, hydroperoxy conjugated dienes, malondialdehyde concentration and sulfur accumulation were determined, and a pollution index was calculated for each sampling site. Redundancy analysis was applied to detect the variation pattern of the lichen variables that can be 'best' explained by the environmental variables considered. The present study provides information about both the specific pattern response of each species to atmospheric pollution, and environmental conditions that determine it. As regards pollutants emission sources R. celastri showed a chemical response associated mainly with pollutant released by the power plant and traffic. P. microsticta and C. pilosa responded mainly to industrial sources. Regarding environmental conditions that affect the spreading of air pollutants and their incidence on the bioindicator, the topographic level and tree cover surrounding the sampling site were found to be important for R. celastri, tree cover surrounding the sampling site and the building height affected P. microsticta, while building height did so for C. pilosa.
Language eng
DOI 10.1016/S0048-9697(03)00253-5
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 929999 Health not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069853

Document type: Journal Article
Collection: Faculty of Health
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