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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences Jurnal Biologi Universitas Andalas
Nurainas
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science

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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.
Genetic Variation of Siam Orange (Citrus nobilis Lour.) in Several Sumatran Production Centers using RAPD Marker: Genetic Variation of Citrus nobilis Lour in Several Sumatran Production Centers Arifa Setriani; Mansyurdin; Nurainas
Journal of Tropical Life Science Vol. 15 No. 2 (2025): In Press
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/7mr9as38

Abstract

Siam orange (Citrus nobilis Lour.) is a key horticultural commodity in Indonesia, valued for its adaptability, potential to improve farmer welfare, and contribution to the national economy. In Sumatra, four main production centres are located in Berastagi (North Sumatra), Gunung Omeh and Pasaman (West Sumatra), and Bangkinang (Riau). However, the origin of seedlings from these centres remains unclear. Despite high productivity, inconsistencies in fruit quality and genetic diversity among production centres highlight the need for molecular-level analysis to ensure superior varieties and maintain market competitiveness. This study aimed to determine the intra- and interpopulation genetic variations of Siam orange in these four production centres using RAPD markers. DNA isolation followed the Doyle and Doyle (1987) method, and amplification used 12 primers, of which OPA03, OPA10, and OPA01 produced the highest polymorphism (95.25%). Intrapopulation genetic variation was relatively low (H = 0.1061–0.1919), with Berastagi showing the lowest (H = 0.1061) and Gunung Omeh the highest (H = 0.1919). Interpopulation genetic diversity was classified as high (DST = 0.0619), with GST = 0.2946, and gene flow was Nm = 1.1975. UPGMA cluster analysis revealed that Gunung Omeh and Berastagi had the most significant genetic distance (0.1622), while Gunung Omeh and Bangkinang were the closest (0.0614). Principal Coordinates Analysis (PCoA) indicated that Berastagi individuals were more clustered, whereas Gunung Omeh, Pasaman, and Bangkinang were more dispersed. These findings indicate that while genetic variation within populations is limited, genetic differentiation among populations is substantial, offering opportunities to select and combine diverse genetic sources. This diversity can be strategically exploited in breeding programs to develop superior cultivars, improve fruit quality uniformity, and strengthen the commercial competitiveness of Siam orange cultivation in Sumatra.
Co-Authors Ahmad Taufiq Arifa Setriani Mansyurdin