Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen
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 a...
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todo:paper_00489697_v312_n1-3_p245_Gonzalez2023-10-03T14:52:30Z Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen González, C.M. Pignata, M.L. Orellana, L. Air pollution Chemical parameters Lichenic bioindicators Redundancy analysis Biomarkers Chlorophyll Climatology Motor transportation Plants (botany) Power plants Proteins Sampling Pollution indices Air pollution alkadiene biological marker chlorophyll a chlorophyll b malonaldehyde phaeophytin a protein sulfur unclassified drug air quality atmospheric pollution bioindicator lichen pollution monitoring air pollutant air pollution air pollution indicator article building industry Canomaculina pilosa electric power plant lichens nonhuman pollution monitoring priority journal Punctelia microsticta ramalina celastri redundancy analysis topography traffic Argentina Cordoba City Cordoba Province Punctelia Ramalina Ramalina celastri 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. © 2003 Elsevier Science B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00489697_v312_n1-3_p245_Gonzalez |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Air pollution Chemical parameters Lichenic bioindicators Redundancy analysis Biomarkers Chlorophyll Climatology Motor transportation Plants (botany) Power plants Proteins Sampling Pollution indices Air pollution alkadiene biological marker chlorophyll a chlorophyll b malonaldehyde phaeophytin a protein sulfur unclassified drug air quality atmospheric pollution bioindicator lichen pollution monitoring air pollutant air pollution air pollution indicator article building industry Canomaculina pilosa electric power plant lichens nonhuman pollution monitoring priority journal Punctelia microsticta ramalina celastri redundancy analysis topography traffic Argentina Cordoba City Cordoba Province Punctelia Ramalina Ramalina celastri |
| spellingShingle |
Air pollution Chemical parameters Lichenic bioindicators Redundancy analysis Biomarkers Chlorophyll Climatology Motor transportation Plants (botany) Power plants Proteins Sampling Pollution indices Air pollution alkadiene biological marker chlorophyll a chlorophyll b malonaldehyde phaeophytin a protein sulfur unclassified drug air quality atmospheric pollution bioindicator lichen pollution monitoring air pollutant air pollution air pollution indicator article building industry Canomaculina pilosa electric power plant lichens nonhuman pollution monitoring priority journal Punctelia microsticta ramalina celastri redundancy analysis topography traffic Argentina Cordoba City Cordoba Province Punctelia Ramalina Ramalina celastri González, C.M. Pignata, M.L. Orellana, L. Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| topic_facet |
Air pollution Chemical parameters Lichenic bioindicators Redundancy analysis Biomarkers Chlorophyll Climatology Motor transportation Plants (botany) Power plants Proteins Sampling Pollution indices Air pollution alkadiene biological marker chlorophyll a chlorophyll b malonaldehyde phaeophytin a protein sulfur unclassified drug air quality atmospheric pollution bioindicator lichen pollution monitoring air pollutant air pollution air pollution indicator article building industry Canomaculina pilosa electric power plant lichens nonhuman pollution monitoring priority journal Punctelia microsticta ramalina celastri redundancy analysis topography traffic Argentina Cordoba City Cordoba Province Punctelia Ramalina Ramalina celastri |
| description |
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. © 2003 Elsevier Science B.V. All rights reserved. |
| format |
JOUR |
| author |
González, C.M. Pignata, M.L. Orellana, L. |
| author_facet |
González, C.M. Pignata, M.L. Orellana, L. |
| author_sort |
González, C.M. |
| title |
Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| title_short |
Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| title_full |
Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| title_fullStr |
Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| title_full_unstemmed |
Applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| title_sort |
applications of redundancy analysis for the detection of chemical response patterns to air pollution in lichen |
| url |
http://hdl.handle.net/20.500.12110/paper_00489697_v312_n1-3_p245_Gonzalez |
| work_keys_str_mv |
AT gonzalezcm applicationsofredundancyanalysisforthedetectionofchemicalresponsepatternstoairpollutioninlichen AT pignataml applicationsofredundancyanalysisforthedetectionofchemicalresponsepatternstoairpollutioninlichen AT orellanal applicationsofredundancyanalysisforthedetectionofchemicalresponsepatternstoairpollutioninlichen |
| _version_ |
1807322990717698048 |