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All Journal ZOO INDONESIA 3BIO: Journal of Biological Science, Technology and Management Zoo Indonesia
Andriwibowo Andriwibowo
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Immunology & microbiology Neuroscience Other

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LANDSCAPE ECOLOGY OF ENDEMIC BLACK-WINGED STARLING Acridotheres melanopterus tricolor (HORSFIELD, 1821) RELATED TO ENVIRONMENTAL FACTORS IN A TROPICAL SAVANNA OF INDONESIA Andriwibowo Andriwibowo; Katherine Hedger; Adi Basukriadi; Erwin Nurdin
ZOO INDONESIA Vol 31, No 1 (2022): Juli 2022
Publisher : Masyarakat Zoologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52508/zi.v31i1.4229

Abstract

The black-winged starling (Acridotheres melanopterus tricolor) is a bird species in Southeast Asia, and this species still exists within Indonesia's tropical savanna landscape. This study aims to estimate the population density of the A. m. tricolor and to model the relationship between this species density and its environmental factors in several land cover types in the Baluran National Park savanna landscape in Java. The environmental factors were Normalized Difference Vegetation Index (NDVI), land cover size, and distance to river obtained from Landsat 8 Operational Land Imager (OLI) and analyzed using Geographical Information System (GIS). General Additive Models (GAM) combined with Principal Component Analysis (PCA) was used to analyze the correlation of bird density with environmental factors. Based on the results, the average density of the A. m. tricolor was eight (8) inds./km2. The correlation model showed a significant positive relationship between bird density and NDVI and a significant negative relationship for distance to river factors, while land cover size did not significantly correlate with the bird density. These findings suggest that vegetation and access to water sources remain a relatively important environmental factors for supporting A. m. tricolor populations and this species conservation in the tropical landscape. The novelty of this research is satellite imagery and GIS usage to elaborate the landscape and habitat of A. m. tricolor. In addition, this study also contributes to modelling the most overarching environmental factors of A. m. tricolor in Indonesia's tropical savanna landscape.
LANDSCAPE ECOLOGY OF ENDEMIC BLACK-WINGED STARLING Acridotheres melanopterus tricolor (HORSFIELD, 1821) RELATED TO ENVIRONMENTAL FACTORS IN A TROPICAL SAVANNA OF INDONESIA Andriwibowo Andriwibowo; Katherine Hedger; Adi Basukriadi; Erwin Nurdin
ZOO INDONESIA Vol 31, No 1 (2022): Juli 2022
Publisher : Masyarakat Zoologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52508/zi.v31i1.4229

Abstract

The black-winged starling (Acridotheres melanopterus tricolor) is a bird species in Southeast Asia, and this species still exists within Indonesia's tropical savanna landscape. This study aims to estimate the population density of the A. m. tricolor and to model the relationship between this species density and its environmental factors in several land cover types in the Baluran National Park savanna landscape in Java. The environmental factors were Normalized Difference Vegetation Index (NDVI), land cover size, and distance to river obtained from Landsat 8 Operational Land Imager (OLI) and analyzed using Geographical Information System (GIS). General Additive Models (GAM) combined with Principal Component Analysis (PCA) was used to analyze the correlation of bird density with environmental factors. Based on the results, the average density of the A. m. tricolor was eight (8) inds./km2. The correlation model showed a significant positive relationship between bird density and NDVI and a significant negative relationship for distance to river factors, while land cover size did not significantly correlate with the bird density. These findings suggest that vegetation and access to water sources remain a relatively important environmental factors for supporting A. m. tricolor populations and this species conservation in the tropical landscape. The novelty of this research is satellite imagery and GIS usage to elaborate the landscape and habitat of A. m. tricolor. In addition, this study also contributes to modelling the most overarching environmental factors of A. m. tricolor in Indonesia's tropical savanna landscape.
APPLICATIONS OF CONVEX POLYGON AND KERNEL DENSITY ANALYSES TO MODEL THE HOME RANGES OF EQUATORIAL SPITTING COBRA Naja sputatrix (BOIE, 1827) IN GREEN AREAS OF UNIVERSITAS INDONESIA CAMPUS, WEST JAVA Andriwibowo Andriwibowo; Adi Basukriadi; Erwin Nurdin
ZOO INDONESIA Vol 31, No 2 (2022): Desember 2022
Publisher : Masyarakat Zoologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52508/zi.v31i2.4464

Abstract

Naja sputatrix (Boie, 1827) or known as equatorial spitting cobra is one of venomous snake inhabiting wide green areas include Universitas Indonesia Campus. Currently the existence and conservation of cobra is threatened, then it is important to study cobra possible home ranges. This research is aiming to model the home range of equatorial spitting cobra in green areas of Universitas Indonesia Campus. The model was developed using the applications of Convex Polygon and Kernel Density. The Convex Polygon analysis shows that approximately 114.53 Ha or equals to 35.79% of green areas of Universitas Indonesia Campus was the home ranges of the cobra. While, based on the Kernel Density analysis, it confirms that up to 307.65 Ha or equals to 96.14% of green areas of Universitas Indonesia Campus were potentials as the home ranges of the cobra. Then it can be concluded that at least 30-90% of green areas of Universitas Indonesia Campus should be conserved to support the presences of N. sputatrix.
APPLICATIONS OF CONVEX POLYGON AND KERNEL DENSITY ANALYSES TO MODEL THE HOME RANGES OF EQUATORIAL SPITTING COBRA Naja sputatrix (BOIE, 1827) IN GREEN AREAS OF UNIVERSITAS INDONESIA CAMPUS, WEST JAVA Andriwibowo Andriwibowo; Adi Basukriadi; Erwin Nurdin
ZOO INDONESIA Vol 31, No 2 (2022): Desember 2022
Publisher : Masyarakat Zoologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52508/zi.v31i2.4464

Abstract

Naja sputatrix (Boie, 1827) or known as equatorial spitting cobra is one of venomous snake inhabiting wide green areas include Universitas Indonesia Campus. Currently the existence and conservation of cobra is threatened, then it is important to study cobra possible home ranges. This research is aiming to model the home range of equatorial spitting cobra in green areas of Universitas Indonesia Campus. The model was developed using the applications of Convex Polygon and Kernel Density. The Convex Polygon analysis shows that approximately 114.53 Ha or equals to 35.79% of green areas of Universitas Indonesia Campus was the home ranges of the cobra. While, based on the Kernel Density analysis, it confirms that up to 307.65 Ha or equals to 96.14% of green areas of Universitas Indonesia Campus were potentials as the home ranges of the cobra. Then it can be concluded that at least 30-90% of green areas of Universitas Indonesia Campus should be conserved to support the presences of N. sputatrix.
Artificial Neural Networks (ANN) to Model Microplastic Contents in Commercial Fish Species at Jakarta Bay Andriwibowo Andriwibowo; Adi Basukriadi; Erwin Nurdin; Vita Meylani; Nenti Rofiah Hasanah; Zulfi Sam Shiddiq; Sitiawati Mulyanah
3BIO: Journal of Biological Science, Technology and Management Vol. 6 No. 1 (2024)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2024.6.1.3

Abstract

Jakarta Bay is known as one of the marine ecosystems that have been contaminated by microplastics. Despite massive loads of microplasticcontamination, Jakarta Bay is also habitat to potential commercial fish species, including anchovy Stolephorus commersonnii and mackerel Rastrelliger kanagurta. While information on the microplastic contents and their determining factors is still limited, the goal of this study was touse artificial neural networks (ANN) as a novel and useful tool to model the determinants of microplastic content in fish in Jakarta Bay, using fish weight and length as proxies. Inside the stomachs of S. commersonnii and R. kanagurta, the order of microplastics from the highest to thelowest was fiber > film > fragment > pellet. Based on the RMSE values of 3.199 for S. commersonnii and 2.738 for R. kanagurta, the ANNmodel of fish’s weight + length ~ pellet was found to be the best fitted model to explain the correlation of fish weight and length with microplastic content in the stomach. The results indicate that ANN is suitable for solving large, complex problems in determining and projecting microplastic contents and provides better estimates that can be used to manage R. kanagurta and S. commersonnii along with microplastic contamination threats.
Co-Authors Adi Basukriadi Aldri Frinaldi Erwin Nurdin Katherine Hedger Nenti Rofiah Hasanah Sitiawati Mulyanah Vita Meylani Zulfi Sam Shiddiq