AHMAD DWI SETYAWAN
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 community structure across contrasting habitat-elevation settings in Wonosobo, Central Java, Indonesia ALYA ADYSTI REVALITHA; ARUM NUR MUKARROMAH; ASFI DZIHNI; HAFIZH MUHAMAD ZEN; ROSITA DEWI; DIANTI DIANTI; SUGIYARTO SUGIYARTO; MUHAMMAD INDRAWAN; AHMAD DWI SETYAWAN
Biodiversitas Journal of Biological Diversity Vol. 27 No. 6 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270628

Abstract

Abstract. Revalitha AA, Mukarromah AN, Dzihni A, Zen HM, Dewi R, Dianti, Sugiyarto, Indrawan M, Setyawan AD. 2026. Bird community structure across contrasting habitat-elevation settings in Wonosobo, Central Java, Indonesia. Biodiversitas 27 (6): d270628. https://doi.org/10.13057/biodiv/d270628. Bird communities in tropical uplands reflect both elevation and land use, but these drivers cannot be separated when each site represents a different habitat. This study compared bird assemblages at an upper-montane tourism-agriculture landscape (Sikunir; 2,270 m asl), a mid-elevation agricultural mosaic (Blederan; 973 m asl), and lower-elevation agroforestry (Karangsambung; 655 m asl) in Wonosobo, Central Java, Indonesia. Five fixed-radius points were surveyed per station during repeated morning and afternoon observations in October 2024. The station-level encounter-count matrix was reconciled before calculating richness, Shannon diversity, Pielou evenness, Simpson dominance, Sørensen similarity, and feeding-guild proportions. The survey recorded 514 bird detections of 43 species from 21 families and 9 orders. Recalculated richness was 28, 34, and 35 species at S1-S3, whereas cumulative detection counts were 151, 251, and 113. Agroforestry had the highest Shannon diversity (3.290) and evenness (0.925) and the lowest dominance (0.047). Pairwise Sørensen similarity ranged from 0.710 to 0.812. Insectivores dominated all stations (73.6-87.3% of detections); granivores and omnivores were most prominent in the agricultural mosaic, whereas nectarivores reached their largest proportion in agroforestry. Three endemic species were recorded: Halcyon cyanoventris (Java–Bali endemic), Centropus nigrorufus (Java endemic), and Dicaeum trochileum (Indonesian endemic). Two conservation-priority taxa were also recorded, namely Centropus nigrorufus (VU) and Aerodramus vulcanorum (NT). The results distinguish an agriculturally productive mosaic with high detection totals from a more equitable agroforestry assemblage. Because only three unreplicated habitat-elevation settings were sampled and counts were pooled by station, the findings are descriptive rather than causal. Maintaining montane vegetation patches, riparian and field-margin cover, scattered trees, and multi-strata agroforestry is recommended for landscape-scale bird conservation.