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Journal : Biospecies

KORELASI KEPADATAN LALU LINTAS DENGAN KADAR SULFUR DIOKSIDA (SO2) DAN KLOROFIL THALLUS LICHEN SEBAGAI BIOINDIKATOR PADA TEGAKAN POHON ANGSANA (Pterocarpus Indicus Willd.) DI KAWASAN INDUSTRI MEDAN II Pohan, Muslimah; Hasairin, Ashar
Biospecies Vol. 18 No. 2 (2025): Juli 2025
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/biospecies.v18i2.46547

Abstract

Air pollution is an unresolved environmental problem to date. Traffic density will have a direct impact on the increase of various types of exhaust emissions, one of which is sulfur dioxide (SO2). Efforts that can be made to prevent further air pollution is to monitor air quality with biomonitoring utilizing lichen as a bioindicator. This study aims to identify the type of lichen species used as bioindicators in Angsana (Pterocarpus indicus Willd.) tree stands, to analyze the correlation of traffic density with sulfur dioxide (SO2) levels in lichen thallus, to analyze the correlation of traffic density with chlorophyll levels in lichen thallus, and to analyze the correlation of sulfur dioxide (SO2) levels with chlorophyll levels in lichen thallus in Medan Industrial Area II. This research is descriptive quantitative with road sampling method on Angsana tree stands in the research location. The results showed that Lichen Lepraria incana and Drinaria picta were obtained as bioindicators in both research locations. The correlation of traffic density with sulfur dioxide levels in lichen thallus showed a very strong positive correlation between traffic density and SO₂ levels with a Pearson correlation value of 0.985 and a significance value (p-value) of 0.015. Since the p-value < 0.05, this relationship is statistically significant. The correlation of traffic density with chlorophyll levels in lichen thallus showed a strong negative correlation and was also statistically significant (p-value < 0.05) with a Pearson Correlation value of -0.958 with a significance value of 0.042. Correlation of sulfur dioxide (SO2) levels with chlorophyll levels in lichen thallus showed a strong negative correlation, but not statistically significant because the p-value> 0.05 with a Pearson Correlation value of -0.943 with a p-value of 0.057.
KORELASI KEPADATAN LALU LINTAS TERHADAP KADAR NITROGEN DIOKSIDA DAN KLOROFIL TALUS LIKEN PADA TEGAKAN POHON ANGSANA (Pterocarpus indicus) DI KAWASAN INDUSTRI MEDAN 2 Nainggolan, Tiara Bunga; Hasairin, Ashar
Biospecies Vol. 18 No. 2 (2025): Juli 2025
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/biospecies.v18i2.46548

Abstract

Industrial areas are centers of economic activity that contribute significantly to air pollution, particularly Nitrogen Dioxide (NO₂). This research aimed to explore the relationship between traffic density, NO₂ levels, and chlorophyll content in lichen thalli on Angsana trees (Pterocarpus indicus) in Medan Industrial Area 2. This quantitative descriptive study was conducted over three months, with lichen samples collected using purposive sampling method at two locations with different traffic densities. Data collection included measurements of traffic density, environmental parameters, lichen identification, NO₂ level analysis, and chlorophyll content measurement. The results showed a very strong positive correlation between traffic density and NO₂ levels in lichen thalli, and a strong negative correlation between traffic density and total chlorophyll content. A significant negative correlation was also found between NO₂ levels and total chlorophyll content in lichen thalli. Six lichen species from five families with two different thallus types were identified on Angsana trees, showing variations in coverage area and physiological responses to pollution levels. This study concludes that lichens are effective bioindicators for detecting NO₂ pollution in industrial areas with varying traffic densities.