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Mufarhatun N, Susilowati A, Hilwan I, Arrofaha N, Yulita KS, Dwiyanti FG, Hidayat A, Kamiya K, Rachmat HH. 2023. Leaf morphological traits of nine major tropical trees of Shorea species (Dipterocarpaceae). Biodiversitas 24: 1704-1712. Shorea is the largest genus in the Dipterocarpaceae family and has high leaf morphological variations among its species, which causes difficulties in field identification. Therefore, information on the specific characteristics of the leaf morphology of each species is needed. This study aimed to examine and discriminate leaf morphological traits at both mature and sapling stages of nine Shorea species, namely Shorea balangeran (Korth.) Burck, S. leprosula Miq., S. mecistopteryx Ridl., S. multiflora (Burck) Symington, S. ovalis (Korth.) Blume, S. pinanga Scheff., S. platyclados Slooten ex Endert, S. selanica (Wight & Arn.) Blume, and S. stenoptera Burck. The leaves of 90 mature trees growing in the Dramaga Research Forest (DRF) and Gunung Dahu Research Forest (GDRF) as well as the leaves of 180 saplings growing in the nursery of Forest Research and Development Center (FRDC) were observed. Leaf traits, leaf color, and chlorophyll content were assessed on 3 leaves from each mature tree and 5 from each sapling collected. Furthermore, comparative analysis using F independent test in the one-way analysis variance (ANOVA), multivariate analysis using Principal Component Analysis (PCA), and Hierarchical Cluster Analysis were used in this study. The results showed that 8 of the 11 measured morphological traits were identified as the quantitative leaves morphological differentiators, namely Leaves Width (LW), Lamina Length (LL), the length between the largest Leaves Point (LP) with the base of the leaves, angle of leaves vein (SD), Petiole Length (PL), number of leaves vein (LB), breadth of the leaves (WL), and the Circumference of the Leaves (CL). In addition, the results of cluster analysis showed the nine Shorea spp. are clustered into two major groups. Group 1 consisted of species, S. stenoptera, and S. mecistopteryx, while the remaining are included in Group 2. Our findings conclude that the eight leaf morphological traits obtained from this study are useful as additional characters to distinguish the nine Shorea species in the field.

Yulita KS, Susilowati A, Rachmat HH, Susila, Hidayat A, Dwiyanti FG. 2022. Molecular identification of Eurycoma longifolia Jack from Sumatra, Indonesia using trnL-F region. Biodiversitas 23: 1374-1382. Eurycoma longifolia Jack (Simaroubaceae) or pasak bumi is a popular medicinal plant from Southeast Asia’s rainforests that is used as an aphrodisiac, antimicrobial, anti-malaria antidiabetic, antiulcer, and anticancer agent. However, the increasing demand for this species for medicinal industries has led to illegal export in Indonesia. This study aimed to determine the specific genetic variation and develop DNA barcode using trnL-Fregion for E. longifolia originating from Sumatra, Indonesia. Twenty-two samples of the species were collected from four locations in Sumatra. An aligned sequence of the trnL-Fwas 960 bp with an A/T rich region (A: 30.2%, T: 34.5%, C: 16.7%, and G: 18.7%). The homology search using BLASTn of the GenBank NCBI showed that the nucleotide composition of the species was similar (99.9%) to the partial trnL-Fregion of E. longifolia MH751519 and E. apiculata GU593014. Close examination of the gene structure and composition showed that the DNA sequences have five nucleotides variations that were not possessed by the reference E. longifolia, and other taxa used. The obtained variations occurred mostly in the trnL intron region, and the phylogenetic analysis showed that the correct identity of the species of the samples by their position was at a similar clade as the other accessions of E. longifolia.

Istomo, Kusmana C, Dwiyanti FG, Malik D. 2020. Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia. Biodiversitas 21: 1438-1447. The difference between the estimated volume and the actual harvested volume is the reason that mangrove forest management is unsustainable. To overcome this discrepancy, it is important to do what so called Inventarisasi Tegakan Sebelum Penebangan (ITSP) or stands inventory prior to logging for logging concession. However, the study on suitable ITSP methods for mangrove forests has been limited. This study aims to assess three ITSP methods (namely Line Strip Sampling Method, Line Systematic Sampling Method, and CIFOR’s Modified Method) using two allometric equations (i.e., equation developed specifically by a logging concession and equation developed that has specific formula for each species), and to select the combination of method and allometric equation that produce the highest accuracy for logging concession in mangrove forest, especially in Bintuni Bay, West Papua. The results showed that CIFOR’s Modified Method produces the lowest discrepancy between the estimated volume and the actual harvested volume, followed by Line Strip Sampling Method. In addition, regardless the ITSP methods employed, the allometric equation by Cole et al. (1999) outperforms the equation developed specifically by a logging concession. While producing the lowest discrepancy with plot size is the smallest than other methods, CIFOR’s Modified Method has a disadvantage when applied in the field due to difficulties in making a circular plot. As such, we recommend ITSP method to be used is the Line Strip Sampling method with allometric equation.