Korelasi Kepadatan Lalu Lintas terhadap Sulfur dan Klorofil Lichens di Patumbak, Deli Serdang
DOI:
https://doi.org/10.36312/biocaster.v6i4.1649Keywords:
Bioindicator, Traffic Density, Chlorophyll, Lichens, Parmotrema perlatum, SulfurAbstract
Increasing traffic density has the potential to increase air pollution, which may affect sensitive organisms such as lichens. Lichens are known to accumulate air pollutants and undergo physiological changes, making them useful as bioindicators of air quality. This study aimed to identify lichen species growing on mango trees, analyze sulfur and chlorophyll contents in lichen thalli, and determine the correlation between traffic density and sulfur and chlorophyll contents in lichen thalli in the Patumbak Industrial Area, Deli Serdang. This study employed a quantitative descriptive method with a correlational approach. Lichen samples were collected using purposive sampling from mango trees located on Jalan Pertahanan, Jalan Perjuangan I, Jalan Sekata, and Desa Mbaruai as the control site. Sulfur content was analyzed using the gravimetric method, chlorophyll content was measured using a UV-Vis spectrophotometer, and the relationships among variables were analyzed using Spearman correlation. The results showed that only one lichen species was identified, namely Parmotrema perlatum belonging to the family Parmeliaceae with a foliose thallus type. The highest sulfur content was found on Jalan Sekata (0.06%), while the lowest sulfur content was recorded on Jalan Pertahanan and Jalan Perjuangan I (0.01%). The highest total chlorophyll content was found on Jalan Sekata (0.766 mg/L), whereas the lowest total chlorophyll content was found on Jalan Pertahanan (0.498 mg/L). Spearman correlation analysis revealed that traffic density had a strong and significant negative correlation with sulfur content (r = -0.747; p < 0.05) and chlorophyll content (r = -0.791; p < 0.05) in lichen thalli. Therefore, lichens have the potential to be utilized as bioindicators of air quality in areas with different levels of traffic activity.
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