MUHAMMAD INDRAWAN
Department of Environmental Sciences, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia

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Estimating carbon storage using remote sensing in the Selo Resort forest area of Mount Merbabu National Park, Central Java, Indonesia MUHAMMAD NUR SULTON; NUR ROHMAYANI ANGGELIKA PUTRI; RACHEL SANISCARA NUGRAHENI; RATIH NUR AFIFAH; RIZKY NUR FADILAH; MUHAMMAD INDRAWAN; LIA KUSUMANINGRUM; SUNARTO SUNARTO; SUTARNO SUTARNO; SUGIYARTO SUGIYARTO; PRAKASH PRADHAN; AHMAD DWI SETYAWAN
Biodiversitas Journal of Biological Diversity Vol. 24 No. 11 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d241149

Abstract

Abstract. Sulton MN, Putri NRA, Nugraheni RS, Afifah RN, Fadilah RN, Indrawan M, Kusumaningrum L, Sutarno, Sunarto, Sugiyarto, Pradhan P, Setyawan AD. 2023. Estimating carbon storage using remote sensing in the Selo Resort forest area of Mount Merbabu National Park, Central Java, Indonesia. Biodiversitas 24: 6264-6270. This study is of paramount importance for long-term climate change mitigation efforts, as it aims to estimate carbon storage and assess land cover density in Selo Resort forest area of Mount Merbabu National Park (MMbNP), Central Java, Indonesia, utilizing remote sensing techniques. Sentinel 2A satellite imagery, acquired on May 28, 2023, serves as the foundational dataset for this research. Employing ArcGIS 10.5, the satellite imagery was processed to derive the Normalized Difference Vegetation Index (NDVI), a critical parameter in this analysis. The NDVI values were subsequently employed to categorize land cover density, leading to the classification of land into five distinct classes: non-vegetation, shrubs, low density, medium density, and high density. This classification process enabled the determination of land cover density. The calculated values for each density class, namely low, medium, and high-density land cover, revealed substantial carbon storage potentials: 12,357.99 tons C, 92,871.04 tons C, and 73,542.06 tons C, respectively. Moreover, the computed areas for low, medium, and high-density cover were 202.59 ha, 364.93 ha, and 348.26 ha, respectively. This study underscores the need for ongoing monitoring to detect changes in land cover and to implement afforestation initiatives in areas with low-density vegetation. Such efforts are crucial for the preservation of land cover and the associated carbon storage benefits, thereby contributing to broader climate change mitigation strategies.
Bird identification and conservation in Semarang Traditional Markets, Indonesia HUSNA’ PUTRI NUR ‘AZIZAH; IFFAH NABILA; KHARISMA DAMAYANTI; IKHLASUL AQMAL KHAWARIZMI; MUCHAMMAD SHOLIQIN; MUHAMMAD INDRAWAN; TITI WAHYUNI; JOHAN ISKANDAR; AHMAD DWI SETYAWAN
Nusantara Bioscience Vol. 17 No. 1 (2025)
Publisher : Smujo International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/nusbiosci/n170111

Abstract

Abstract. Nur ‘Azizah HP, Nabila I, Damayanti K, Khawarizmi IA, Sholiqin M, Indrawan M, Wahyuni T, Iskandar J, Setyawan AD. 2025. Bird identification and conservation in Semarang Traditional Markets, Indonesia. Nusantara Bioscience 17: 103-117. Birds are one of the wildlife species that humans widely utilize as food, pets, economic resources, and for their aesthetic value. Bird markets in Indonesia have become an integral part of people's lives, but this can also be a threat if not properly controlled. The objectives of this study were to identify bird species traded in bird markets, assess their selling prices, analyze the conservation status and endemicity of traded species, and evaluate the sustainability of bird markets. This research was conducted in three traditional markets in Central Java Province, Indonesia, i.e., (i) Banyuputih Market in Salatiga City; (ii) Pasar Pon Ambarawa in Semarang District; and (iii) Kartini Market in Semarang City, using a descriptive qualitative method with a survey and observation approach. The collected data were grouped based on several categories, such as the type of bird species, conservation status, and the location where the species was found. The results of this study showed 46 families with 136 bird species, of which 18 species are non-endemic and 118 species are endemic. Based on the conservation status, according to IUCN, several species are rare (23 species), namely endangered (9 species), vulnerable (3 species) and near threatened (11 species); as well as 13 species are included in Appendix II of CITES; and 14 species are nationally protected according to Permen LHK No.P.20/2018. Most birds come from wild hunting (106 sp.) instead of breeding (30 sp.). Two endemic bird species, including rare according to the three institutions, are Pycnonotus cyaniventris (cucak kelabu) and P. zeylanicus (cucak rawa). Suppliers and traders need to pay attention to the sustainability of the bird trade through biological conservation by providing more breeding birds. Efforts are needed to apply the principles of sustainable development that include economic, social, and environmental aspects in the bird trade in bird markets.