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All Journal Jurnal Ekosains ENVIRO: Journal of Tropical Environmental Research
Restanta, Reisha Azzahra Putri
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Neuroscience Public Health Social Sciences Transportation Other

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Identifikasi Pola Distribusi Bambu sebagai Vegetasi Riparian di Sekitar Tempuran Sungai Langsur-Sungai Samin Restanta, Reisha Azzahra Putri
Ekosains Vol 16, No 2 (2024)
Publisher : Universitas Sebelas Maret

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Abstract

Vegetasi riparian memiliki manfaat bagi lingkungan sekitar sungai, yakni dapat mencegah bencana banjir, mengatasi erosi tanah, serta dapat meningkatkan kualitas air dan tanah di sungai. Bambu merupakan salah satu jenis vegetasi riparian yang tumbuh di daerah sempadan sungai, penelitian ini melakukan pengamatan di sekitar tempuran Sungai Langsur-Sungai Samin karena terdapat vegetasi riparian, yakni tumbuhan bambu. Tujuan penelitian ini adalah untuk mengetahui pola persebaran serta identifikasi jenis bambu di sekitar tempuran Sungai Langsur-Sungai Samin. Metode yang digunakan adalah pendekatan metode deskriptif kualitatif, serta pengamatan secara langsung di lokasi penelitian. Hasil penelitian ini, terdapat 5 jenis bambu yang tumbuh di daerah sempadan sungai dengan jumlah yang berbeda di setiap titik pengamatan, memiliki karakteristik yang berbeda-beda, serta manfaat yang beragam. Dapat disimpulkan berdasarkan karakteristik 5 jenis bambu yang ada di daerah tempuran sungai,  bambu tumbuh merumpun di Tempuran Sungai Samin Sungai Langsur dengan kondisi tanah yang terindikasi kekeringan.
Estimasi Stok Karbon Hutan Mangrove Di Wilayah Pesisir Kabupaten Langkat Provinsi Sumatra Utara Restanta, Reisha Azzahra Putri
ENVIRO: Journal of Tropical Environmental Research Vol 27, No 2 (2025): September
Publisher : Center for Environmental Research, LPPM, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/enviro.v27i2.106890

Abstract

Carbon emissions into the atmosphere are one of the factors contributing to climate change. This condition is exacerbated by the increasing number of damaged ecosystems, including mangrove ecosystems. Mangrove forests are one of the coastal ecosystems that play an important role in mitigating climate change through blue carbon storage. This study aims to estimate the carbon stock of mangrove forests in the coastal area of Langkat Regency in 2018 and 2023 using Sentinel-2A satellite imagery and to calculate the spatial and temporal changes that have occurred. The methods used include image processing to obtain the Normalized Difference Vegetation Index (NDVI) value, which is linked to biomass stocks using a second-order polynomial regression model. The results show that in 2018, the area of high-density mangroves reached 13,567.54 ha with a total carbon stock of around 148.92 million tons of C. In 2023, the area of mangrove vegetation with high NDVI decreased slightly to 13,176.93 ha with a carbon stock of 133.85 million tons of C. The southern region of Langkat Regency, such as Tanjung Pura and Secanggang Districts, had the highest carbon concentration. Conversely, a decrease in carbon stock values was found in several parts of the northern coast. This study confirms that the use of satellite imagery and NDVI is effective for estimating mangrove carbon stocks spatially and temporally.
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