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All Journal Biogenesis: Jurnal Ilmiah Biologi Jurnal Biologi Universitas Andalas Biosaintifika: Journal of Biology & Biology Education Bio-Lectura Floribunda
Ahmad Taufiq
Universitas Andalas
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Immunology & microbiology

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Journal : Jurnal Biologi Universitas Andalas

 1 
Above Ground Biomass Estimation of Syzygium aromaticum using structure from motion (SfM) derived from Unmanned Aerial Vehicle in Paninggahan Agroforest Area, West Sumatra Try Surya Harapan; Ahsanul Husna; Thoriq Alfath Febriamansyah; Mahdi Mutashim; Andri Saputra; Ahmad Taufiq; Erizal Mukhtar
Jurnal Biologi Universitas Andalas Vol 9, No 1 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jbioua.9.1.39-46.2021

Abstract

Above ground biomass (AGB) is all living organic matters above the soil including stem, seed and leaves. This study aimed to estimate the individual clove (Syzygium aromaticum) and it’s above ground biomass using Unmanned Aerial Vehicle in the Agroforestry area in Paninggahan, West Sumatra. This study used a photogrammetry method to calculate trees and estimated the AGB. We detected 257 numbers of trees based on aerial image analysis and observed 270 after we validated on ground check in the field. The result was slightly different between estimated AGB from UAV and observed AGB from our ground validation. The estimated AGB was 5.9 ton/ Ha where the surveyed AGB was 5.6 ton/Ha. The difference between estimated AGB and observed AGB was 0.3 ton/Ha.
Evaluating Species Distribution Models (SDMs) for Efficient and Accurate Detection of Wild Species Across Landscapes Taufiq, Ahmad; Nurainas
Jurnal Biologi Universitas Andalas Vol 13 No 01 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jbioua.13.01.36-42.2025

Abstract

Species distribution models (SDMs) have been used across continents and taxonomic groups to guide field surveys and improve detection efficiency. In several studies, SDM-guided approaches achieved Area Under the Curve values between 0.90 and 0.976, with some reports documenting the discovery of new populations (e.g., 4 of 8 species or 5-16 additional sites) and time savings of up to 70% compared with unsystematic surveys. One study noted that Gaussian Process models operated 70 times faster than an alternative estimation method. Additional work indicates that SDMs narrow survey areas and enhance cost effectiveness, particularly when environmental layers and robust occurrence data support model development. These studies show that, when applied with methods such as Maxent and ensemble approaches, SDMs offer a viable alternative to direct field surveys for locating wild species over large areas. Limitations arise when data quality or model specification is insufficient, suggesting that careful design remains essential for reliable outcomes.
Co-Authors . Mansyurdin Adi Bejo Suwardi Ahsanul Husna Alponsin Alponsin A Andri Saputra Ardinis Arbain Erizal Mukhtar Mahdi Mutashim Nurainas Nurainas Nurainas Sasmita Yuliza Saswita, Helvi Maudy Syamsuardi Syamsuardi Tesri Maideliza Thoriq Alfath Febriamansyah Try Surya Harapan Zuhri Syam