The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

Turan, Dilek; Kocahakimoglu, Cemre; Kavcar, Pınar; Gaygısız, Handan; Atatanır, Levent; Turgut, Cafer; Sofuoğlu, Sait Cemil

doi:10.1007/s11356-010-0378-z

Cited by 37 publications

(21 citation statements)

References 27 publications

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“…The use of leaves as bioindicators of environmental pollution has been studied, more and more, to assess their suitability, to assess effect of a specific pollution source, to differentiate between background (unpolluted) and polluted sites and to monitor or assess the level of pollution in an area (Turan et al, 2011).…”

Section: Plant Leaves As Biomonitormentioning

confidence: 99%

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Biomonitoring of Airborne Heavy Metal Contamination

Hoodaji¹,

Ataabadi²,

Najafi³

2012

Air Pollution - Monitoring, Modelling, Health and Control

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Section: Plant Leaves As Biomonitormentioning

confidence: 99%

“…Leaves of evergreen species are considered to be better traps because of higher accumulation on a longer period of time (Turan et al, 2011).…”

Section: Factors That Affect Efficiency Of Heavy Metal Accumulation Omentioning

confidence: 99%

Biomonitoring of Airborne Heavy Metal Contamination

Hoodaji¹,

Ataabadi²,

Najafi³

2012

Air Pollution - Monitoring, Modelling, Health and Control

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“…3-Extracting HMs based on acid digestion (27,28), in which 1 g of dried leaves were added to 8 mL of concentrated HNO 3 (Merck, 65%) and the mixture was left at laboratory temperature for one hour.…”

Section: Bio-indicator Selection Sampling and Analysesmentioning

confidence: 99%

Atmospheric Heavy Metals Biomonitoring Using a Local Pinus eldarica Tree

et al. 2016

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Background: Trees are one of the most commonly used bio-indicators and have been widely applied for heavy metals (HMs) monitoring in the ambient air because of their simple and efficient sampling and examination. Objectives: The main objective of this study was to evaluate local pine trees for their potential as a bio-indicator of HMs in urban areas. Besides, the distribution pattern of HMs in the study area, meteorological and land use factors affecting this pattern, and HMs source identification were investigated. Methods: Forty-eight sampling locations were selected in the Yazd city, capital of Yazd province in Iran, and concentrations of five HMs-iron (Fe), copper (Cu), zinc (Zn), lead (Pb), and cadmium (Cd)-were measured in the leaves of the most abundantly local pine trees, Pinus eldarica, using the atomic absorption spectroscopy method. The obtained data were analyzed for source identification using Spearman's rank correlation coefficient and principal component analysis (PCA). The ordinary Kriging method was used to obtain a spatial map of HMs distribution in the study area. Results: Iron had the highest concentration (345.0053 mg/kg) in leaves when compared with other HMs. The concentration of Zn, Cu, Pb and Cd were 26.1384, 5.5905, 2.9963 and 0.7383 mg/kg, respectively. Spatial mapping indicated that industrial districts and areas with heavy traffic had the highest HMs pollution. Wind direction was recognized to be the most important factor in HMs transportation. Anthropogenic sources were known as the main responsible factor for HMs emission. Conclusions: Pine trees can be used as a worthy bio-indicator for HMs pollution monitoring in the ambient air in areas with extensive vegetation of pine trees.

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“…There are multiple ways to investigate heavy metals atmospheric pollution with bio-indicators including the following: suspended dust (Jiries et al, 2008), dry deposition (Sawidis et al, 2012;Ziadat et al, 2006), wet precipitation (Jaradat et al, 1999), plants (Turan et al, 2011;Jiries et al, 2008) and lichens (Lisowska, 2011;Berdanier et al, 2009). Heavy metal concentrations are known to reach high levels in lichens when grown on metal-rich substrates.…”

Section: Introductionmentioning

confidence: 99%

Bio-monitoring of Heavy Metals in the Vicinity of Copper Mining Site at Erdenet, Mongolia

Ziadat¹,

Jiries²,

Berdanier³

et al. 2015

J. of Applied Sciences

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A B S T R A C TThe objective of this research was to evaluate the level of heavy metal concentrations of copper, lead, zinc, cobalt, manganese, iron and nickle (Cu, Pb, Zn, Co, Mn, Fe and Ni) in correlation with human activities and land use at different sites of Erdenet, Mongolia. Samples of tree bark, lichens and street dust were collected and analyzed form the main highway, road intersections, residential areas, remote sites and the vicinity of the copper mine area near the city of Erdenet, Mongolia. The copper levels in all sampling sites with respect to all media differ from each other consistently and are clearly related to the distance from the copper mine. This indicates that the mining activities are the main source of copper rather than other anthropogenic activities in Erdenet, Mongolia. The lowest metal concentrations were found in residential areas. For street dust samples higher metal concentrations were found in the fine grains particles, which were attributed to higher surface area. This research provided strong evidence of air pollution as it could be concluded that tree bark and lichens can be recommended as efficient bioindicators of heavy metals air pollution in cold climate regions.

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The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

Cited by 37 publications

References 27 publications

Biomonitoring of Airborne Heavy Metal Contamination

Biomonitoring of Airborne Heavy Metal Contamination

Atmospheric Heavy Metals Biomonitoring Using a Local Pinus eldarica Tree

Bio-monitoring of Heavy Metals in the Vicinity of Copper Mining Site at Erdenet, Mongolia

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