cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Harini Nurcahya
Contact Email
harininurcahya@gmail.com
Phone
+628128032618
Journal Mail Official
biodiversityjurnal@gmail.com
Editorial Address
Jl. Sawo Manila, Pejaten, Ps. Minggu Jakarta 12520
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Journal of Tropical Biodiversity
Published by Universitas Nasional Jakarta
ISSN : -     EISSN : 27744116     DOI : -
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Immunology & microbiology
Journal of Tropical Biodiversity, ISSN : 2774-4116 (Online) is an international journal that publishes articles on all aspects of biological diversity-its description, analysis and conservation, and its controlled rational use by humankind. The scope of Biodiversity and Conservation is wide and multidisciplinary, and embraces all life-forms. published by Universitas Nasional Jakarta
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Hewan dan Zoologi
Articles 92 Documents
 6   7   8   9   10 
Vegetation Composition Drives The Hornbill Abundance in Tujuh Bukit Area, PT Bumi Suksesindo Mukhlish Jamal Musa Holle; Fanny Sukma Sundari; Setiawan; Faisal Muslim; Dwi Karsono
Journal of Tropical Biodiversity Vol 6 No 3 (2026): August 2026
Publisher : Universitas Nasional Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bio.v6i3.383

Abstract

Hornbills, keystone frugivores and bioindicators, reflect forest health. Their abundance depends on specific vegetation, like large cavity-bearing trees for nesting and diverse fruit-producing trees for foraging. In the southern Banyuwangi forests adjacent to mining areas, these characteristics may undergo changes due to operational activities that influence stand structure and the diversity of fruit-bearing trees, potentially affecting overall habitat suitability. A systematic investigation into vegetation composition and hornbill distribution is essential to establish baseline population data and inform targeted conservation strategies. We conducted hornbill and vegetation surveys in the areas adjacent to the mining site in the south of Banyuwangi Regency, East Java, Indonesia. Hornbill survey were conducted using a combination of line transect and point count methods. Vegetation analysis was conducted using plot-based sampling with 20 m x 20 m. All analyses were conducted in R with all visualisation made using package ggplot2. We found that despite of the patchy distribution, the abundance of three hornbill species, Anthracoceros albirostris, Buceros rhinoceros, and Rhyticeros undulatus, is similar across sites. Meanwhile, tree basal area, abundance, and composition differed across ecosystem types. Combining hornbill and tree data, we found that hornbill abundance is associated with tree composition and diversity, not overall plant abundance. To sum up, vegetation composition is a key determinant of hornbill abundance in tropical forests adjacent to mining sites. Therefore, conserving hornbills species requires preservation of the associated tree species providing food resources and nesting habitats.
Morphometric Characteristics Of Merawangarab Chicken Based On Multivariate Analysis and Multiple Regression Sri Darwati; Harini Nurcahya; Hajran Fashbir Pambudi
Journal of Tropical Biodiversity Vol 6 No 3 (2026): August 2026
Publisher : Universitas Nasional Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bio.v6i3.384

Abstract

This study aimed to analyze morphometric characteristics of merawangarab chicken using multivariate analysis. Twenty five of merawangarab chicken with 12th weeks age was used. Merawangarab chicken were observed for body weight, body length, wing length, femur length, and tibia length. Data were analyzed using multivariate analysis Principal Component Analysis (PCA) and multiple regression. Body size and body weight were still varied. The first component was mainly associated with body size. Results indicated that the first principal component represented body size index, explaining 93.8% of the total variance. Between variables there was a significant positive correlation (P <0.05) between variables and multiple linear equations Weight = -871 +6.88 Chest Length + 12.49 Tibia Length + 2.58 Femur Length (mm) with R2 = 90.5. Conclusion PC1 controls the variety of variables measured, with a close relationship between variables and still varied and can be used to estimate body weight. Key words: merawangarab chicken, morphometric, multivariate analysis, multiple regression

Page 10 of 10 | Total Record : 92

 6   7   8   9   10 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol 6 No 3 (2026): August 2026 Vol 6 No 2 (2026): April 2026 Vol 6 No 1 (2025): December 2025 Vol 5 No 3 (2025): August 2025 Vol 5 No 2 (2025): April 2025 Vol 5 No 1 (2024): December 2024 Vol 4 No 3 (2024): August 2024 Vol 4 No 2 (2024): April 2024 Vol 4 No 1 (2023): December 2023 Vol 3 No 3 (2023): August 2023 Vol 3 No 2 (2023): April 2023 Vol 3 No 1 (2022): December 2022 Vol 2 No 3 (2022): August 2022 Vol 2 No 2 (2022): April 2022 Vol 2 No 1 (2021): December 2021 Vol 1 No 3 (2021): August 2021 Vol 1 No 2 (2021): April 2021 Vol 1 No 1 (2020): December 2020 More Issue