Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions
A diagnostic study was done on Ligustrum lucidum Ait. f. tricolor (Rehd.) Rehd. in relation to atmospheric pollutants in Cordoba city, Argentina. The study area receives regional pollutants and was categorized taking into account traffic level, industrial density, type of industry, location of the s...
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1997
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0364152X_v21_n5_p793_Pignata http://hdl.handle.net/20.500.12110/paper_0364152X_v21_n5_p793_Pignata |
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paper:paper_0364152X_v21_n5_p793_Pignata2023-06-08T15:35:32Z Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions Air pollution Argentina L. lucidum Ait. f. tricolor (Rehd.) Rehd. Pigments Urban environment Sulfur accumulation Argentina Ligustrum lucidum Sulfur accumulation Urban environment Atmospheric chemistry Environmental engineering Environmental impact Pigments Plants (botany) Urban planning Air pollution alkadiene carotenoid chlorophyll malonaldehyde protein sulfur air pollution atmospheric pollutant biomonitoring leaf chemistry monitoring programme pollution monitoring road traffic urban area air pollutant argentina article environmental factor nonhuman plant growth plant leaf traffic tree Argentina, Cordoba Province, Cordoba Ligustrum lucidum Oleaceae A diagnostic study was done on Ligustrum lucidum Ait. f. tricolor (Rehd.) Rehd. in relation to atmospheric pollutants in Cordoba city, Argentina. The study area receives regional pollutants and was categorized taking into account traffic level, industrial density, type of industry, location of the sample point in relation to the street corner, treeless condition, and topographic level. Dried weight/fresh weight ratio (DW/FW) and specific leaf area (SLA) were calculated, and concentrations of chlorophylls, carotenoids, total sulfur, soluble proteins, malondialdehyde (MDA), and hydroperoxy conjugated dienes (HPCD) were determined in leaf samples. Sulfur content correlates positively with traffic density and SLA correlates negatively with some combinations of the categorical variables MDA correlates positively with topographic level and total protein concentration correlates negatively with treeless condition. On the basis of our results, traffic, location of trees, type of industry, situation of a tree with respect to others, and topographic level are the environmental variables to bear in mind when selecting analogous sampling points in a passive monitoring program. An approximation to predict tree injury may be obtained by measuring DW/FW ratio, proteins, pigments, HPCD, and MDA as they are responsible for the major variability of data. 1997 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0364152X_v21_n5_p793_Pignata http://hdl.handle.net/20.500.12110/paper_0364152X_v21_n5_p793_Pignata |
| 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 Argentina L. lucidum Ait. f. tricolor (Rehd.) Rehd. Pigments Urban environment Sulfur accumulation Argentina Ligustrum lucidum Sulfur accumulation Urban environment Atmospheric chemistry Environmental engineering Environmental impact Pigments Plants (botany) Urban planning Air pollution alkadiene carotenoid chlorophyll malonaldehyde protein sulfur air pollution atmospheric pollutant biomonitoring leaf chemistry monitoring programme pollution monitoring road traffic urban area air pollutant argentina article environmental factor nonhuman plant growth plant leaf traffic tree Argentina, Cordoba Province, Cordoba Ligustrum lucidum Oleaceae |
| spellingShingle |
Air pollution Argentina L. lucidum Ait. f. tricolor (Rehd.) Rehd. Pigments Urban environment Sulfur accumulation Argentina Ligustrum lucidum Sulfur accumulation Urban environment Atmospheric chemistry Environmental engineering Environmental impact Pigments Plants (botany) Urban planning Air pollution alkadiene carotenoid chlorophyll malonaldehyde protein sulfur air pollution atmospheric pollutant biomonitoring leaf chemistry monitoring programme pollution monitoring road traffic urban area air pollutant argentina article environmental factor nonhuman plant growth plant leaf traffic tree Argentina, Cordoba Province, Cordoba Ligustrum lucidum Oleaceae Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| topic_facet |
Air pollution Argentina L. lucidum Ait. f. tricolor (Rehd.) Rehd. Pigments Urban environment Sulfur accumulation Argentina Ligustrum lucidum Sulfur accumulation Urban environment Atmospheric chemistry Environmental engineering Environmental impact Pigments Plants (botany) Urban planning Air pollution alkadiene carotenoid chlorophyll malonaldehyde protein sulfur air pollution atmospheric pollutant biomonitoring leaf chemistry monitoring programme pollution monitoring road traffic urban area air pollutant argentina article environmental factor nonhuman plant growth plant leaf traffic tree Argentina, Cordoba Province, Cordoba Ligustrum lucidum Oleaceae |
| description |
A diagnostic study was done on Ligustrum lucidum Ait. f. tricolor (Rehd.) Rehd. in relation to atmospheric pollutants in Cordoba city, Argentina. The study area receives regional pollutants and was categorized taking into account traffic level, industrial density, type of industry, location of the sample point in relation to the street corner, treeless condition, and topographic level. Dried weight/fresh weight ratio (DW/FW) and specific leaf area (SLA) were calculated, and concentrations of chlorophylls, carotenoids, total sulfur, soluble proteins, malondialdehyde (MDA), and hydroperoxy conjugated dienes (HPCD) were determined in leaf samples. Sulfur content correlates positively with traffic density and SLA correlates negatively with some combinations of the categorical variables MDA correlates positively with topographic level and total protein concentration correlates negatively with treeless condition. On the basis of our results, traffic, location of trees, type of industry, situation of a tree with respect to others, and topographic level are the environmental variables to bear in mind when selecting analogous sampling points in a passive monitoring program. An approximation to predict tree injury may be obtained by measuring DW/FW ratio, proteins, pigments, HPCD, and MDA as they are responsible for the major variability of data. |
| title |
Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| title_short |
Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| title_full |
Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| title_fullStr |
Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| title_full_unstemmed |
Exploring chemical variables in Ligustrum lucidum Ait. F. Tricolor (Rehd.) Rehd. in relation to air pollutants and environmental conditions |
| title_sort |
exploring chemical variables in ligustrum lucidum ait. f. tricolor (rehd.) rehd. in relation to air pollutants and environmental conditions |
| publishDate |
1997 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0364152X_v21_n5_p793_Pignata http://hdl.handle.net/20.500.12110/paper_0364152X_v21_n5_p793_Pignata |
| _version_ |
1768545190769852416 |