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All Journal Biodiversitas Journal of Biological Diversity
PRAKASH PRADHAN
West Bengal Biodiversity Board, Department of Environment, Government of West Bengal. Salt Lake, Sector-III, FD415A, Poura Bhawan, 4th Floor, Kolkata, West Bengal, India
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Assessing the suitability of tree species for urban green space in a tropical university campus in Surakarta, Indonesia INGGRID TRIFENA YULIA; DINDA PUTRI PERMATASARI; IGUSTITA IGUSTITA; GAVRIEL ENOS BERLIN; RAISA NOOR SAFIRA; SUGIYARTO SUGIYARTO; IRFAN ABU NAZAR; WIDHI HIMAWAN; SUNARTO SUNARTO; PRAKASH PRADHAN; AHMAD DWI SETYAWAN
Biodiversitas Journal of Biological Diversity Vol. 24 No. 3 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240345

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Abstract. Yulia IT, Permatasari DP, Igustita, Berlin GE, Safira RN, Sugiyarto, Nazar IA, Himawan W, Sunarto, Pradhan P, Setyawan AD. 2023. Assessing the suitability of tree species for urban green space in a tropical university campus in Surakarta, Indonesia. Biodiversitas 24: 1713-1723. The presence of tree vegetation plays an important role in urban ecosystem. It provides various ecological and sociocultural functions from comforting micro-climates to beautification of the landscape. The central campus of Universitas Sebelas Maret (UNS) in Kentingan, Surakarta City, Central Java, Indonesia, has various tree species that grow well and become a constituent part of the campus area. This central campus environment has been considered one of the urban forests for city of Surakarta. This study aimed to determine the tree diversity occurring in the campus area of Universitas Sebelas Maret and to assess the suitability of the tree species based on silviculture, management and aesthetic aspects. Data collection was conducted by field observations at four stations: east, west, north, and south. Across the stations, the name of the tree species with minimum diameter breast height of 10 cm, the size of the tree’s circumference, the coordinates of the location of the tree, and tree’s morphological characteristics were documented. Each tree was then assessed for suitability for urban green space by scoring based on several silviculture, management and aesthetic criteria indicators. The results found 106 tree species in the studied area. Among them, 69 species (65%) had high suitability level, while 34 other species (32%) and 3 species (3%) were in the medium and low category, respectively. Some species with the highest score of 45 were kayu putih (Melaleuca leucadendra (L.) L), mimba (Azadirachta indica A.Juss.) and nyamplung (Calophyllum inophyllum L.), while the lowest score of 28 was kamboja (Plumeria acuminata W.T.Aiton). Species with high score are therefore recommended to be used in urban green space in the university area, and vice versa. The findings of this study suggest that vegetation suitability planning can be carried out to ensure the sustainability and balance of ecological functions of urban green space.
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

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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.
Co-Authors AHMAD DWI SETYAWAN AHMAD DWI SETYAWAN DINDA PUTRI PERMATASARI GAVRIEL ENOS BERLIN IGUSTITA IGUSTITA INGGRID TRIFENA YULIA IRFAN ABU NAZAR LIA KUSUMANINGRUM MUHAMMAD INDRAWAN MUHAMMAD NUR SULTON NUR ROHMAYANI ANGGELIKA PUTRI RACHEL SANISCARA NUGRAHENI RAISA NOOR SAFIRA RATIH NUR AFIFAH RIZKY NUR FADILAH SUGIYARTO SUGIYARTO SUNARTO SUNARTO SUNARTO SUNARTO SUTARNO SUTARNO WIDHI HIMAWAN