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Short Communication: Geometric morphometric analysis of leaf venation in four Shorea species for identification using Digital Image Processing Ishak Ariawan; YENI HERDIYENI; ISKANDAR ZULKARNAEN SIREGAR
Biodiversitas Journal of Biological Diversity Vol. 21 No. 7 (2020)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d210754

Abstract

Abstract. Ariawan I, Herdiyeni Y, Siregar IZ. 2020. Short Communication: Geometric morphometric analysis of leaves venation in Shorea spp. for identification using Digital Image Processing. Biodiversitas 21: 3303-3309. Shorea is one of the genera of the Dipterocarpaceae family which consists of more than 190 species. Massive exploitation of forests has threatened the sustainability of Shorea in nature. A total of 156 species has been listed on the IUCN (International Union for Conservation of Nature) red list. From the 156 species, 59.6% are in the critically endangered category, so urgent conservation is needed. However, during collection of Shorea at the seedling phase for conservation  purposes, it is often difficult to distinguish among them that can cause errors in their collection process. To avoid these errors, identification needs to be done, usually based on plant  leaf and flower  morphology. Leaves are easier because they have the main features that distinguish each plant species, one of which is the venation structure. Geometric morphometric techniques are a modern approach recognized as useful for the identification of species in many plants. Geometric morphometrics analyzes the position of the venation point using coordinate geometry values. This research was aimed to extract venation features of Shorea leaves using a geometric morphometric approach. The extraction process result in some features, such as straightness, different angle, length ratio, scale projection, and secondary nerves. On extracted features, an analysis was then performed to find out the best features in classifying species of Shorea spp. The results of this study indicated that the geometric morphometric approach could extract the value of the features of straightness, different angle, length ratio, scale projection, and secondary nerves. The secondary nerve feature is the best feature because it can distinguish between fourcommonly planted species of Shorea spp. (S. acuminata, S. leprosula, S. ovalis, and S. selanica). By using the support vector machine classification technique to identify species of Shorea spp., the classification results obtained an average accuracy of 84.46%.
Potential of carbon sequestration enhancement through intensive silvicultural techniques using Shorea leprosula plantation in Central Kalimantan, Indonesia M. ISKANDAR; ISKANDAR ZULKARNAEN SIREGAR; HARUNI KRISNAWATI
Biodiversitas Journal of Biological Diversity Vol. 24 No. 8 (2023)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d240852

Abstract

Abstract. Iskandar M, Siregar IZ, Krisnawati H. 2023. Potential of carbon sequestration enhancement through intensive silvicultural techniques using Shorea leprosula plantation in Central Kalimantan, Indonesia. Biodiversitas 24: 4699-4713. Various sectors are involved in achieving Indonesia’s Enhanced Nationally Determined Contribution (NDC), including Forestry and Other Land Uses (FOLU) sector. Sustainable Forest Management (SFM) implementation by forest concessionaires (PBPHs) enormously contributes to land-based mitigation activities, primarily at the local level. One of the SFM activities is forest enrichment with Intensive Silvicultural (SILIN) technique using Shorea leprosula Miq. to enhance carbon stock and sequestration. This study was conducted in PT Sarmiento Parakantja Timber (PT Sarpatim) in Central Kalimantan (Indonesia) and used the measurement data from 32 purposive sampling plots. Each plot was 40m × 40m in size, constructed under three different SILIN patterns (conventional strip, effective strip, and gap) as well as natural forest stands. This study found that SILIN gap pattern had higher carbon stock and sequestration potential, compared to the natural forest (reference) stands, and reached a net sink condition after 30 years. For the stands of SILIN conventional and effective strip patterns, the carbon stocks were lower than the reference stand, even when the vegetation aged 30 years. PBPHs applying SILIN technique as part of the SFM and the mitigation actions demonstrate an enhanced carbon stock and sequestration. This effort supports Indonesia’s Enhanced NDC target and FOLU Net Sink 2030.
Comparative wood anatomy of Rubroshorea leprosula across multiple populations in Sumatra Island, Indonesia AINUN FADILAH; FIFI GUS DWIYANTI; TRIADIATI TRIADIATI; AGUS HIKMAT; LINA KARLINASARI; ISKANDAR ZULKARNAEN SIREGAR
Biodiversitas Journal of Biological Diversity Vol. 27 No. 2 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270204

Abstract

Abstract. Fadilah A, Dwiyanti FG, Triadiati, Hikmat A, Karlinasari L, Siregar IZ. 2026. Comparative wood anatomy of Rubroshorea leprosula across multiple populations in Sumatra Island, Indonesia. Biodiversitas 27 (2): d270204. https://doi.org/10.13057/biodiv/d270204. Red meranti wood (Rubroshorea leprosula) is classified in strength classes II-IV and durability classes III-IV, making it suitable for light and heavy construction due to its high wood quality. This has led to widespread exploitation, illegal logging, and illicit trade, particularly from natural forests. Current conservation strategies lack adequate scientific support, particularly in species and origin identification, which are crucial for wood tracking. Wood anatomy is a simple, rapid, and reliable method for identifying wood species. Therefore, this study aimed to evaluate the wood anatomy of R. leprosula by examining visual, macroscopic, and microscopic structures to identify key characteristics that differentiate between populations. Visual characteristics were assessed based on wood color, pattern, texture, gloss, and grain orientation. Macroscopic observations were made of growth rings, vessels, intercellular canals, axial parenchyma, and ray parenchyma. Microscopic analysis was performed using a light microscope to observe cellular structures qualitatively and quantitatively. Samples were collected from five populations in Sumatra, Indonesia. Fifty wood samples (ten per population) were analyzed. Data were statistically analyzed using One-Way ANOVA and post-hoc tests to identify significant differences between populations. The results showed that evaluation of the microscopic structure successfully identified key characteristics, particularly variations in vessel diameter, that consistently differentiated among populations, with significant differences (p-value = 0.00000545) ranging from 105.2-158.7µm, most notably between samples from Bukit Tigapuluh National Park and Harapan Rainforest (p-value<0.025). This anatomical variation, potentially related to hydraulic conductivity and ecological adaptation, indicates population differentiation. This study contributes to forest biology by linking anatomical traits to adaptive functions and traceability, which are essential for the sustainable management of tropical timber resources.
Tolerance of rhizospheric and endophytic microbes to pesticide residues and their potential for rice growth ERYNA ELFASARI RANGKUTI; ALINA AKHDIYA; ABDUL MUNIF; ISKANDAR ZULKARNAEN SIREGAR; SYAIFUL ANWAR
Biodiversitas Journal of Biological Diversity Vol. 26 No. 10 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d261040

Abstract

Abstract. Rangkuti EE, Akhdiya A, Munif A, Siregar IZ, Anwar S. 2025. Tolerance of rhizospheric and endophytic microbes to pesticide residues and their potential for rice growth. Biodiversitas 26: 5267-5276. Rhizospheric and endophytic bacteria are recognized for their ability to enhance plant growth by producing hormones and acting as biocontrol agents. Therefore, this study aimed to identify potential rhizosphere and endophytic bacteria tolerant to three pesticide-active substances. Based on the antagonistic activity against Rhizoctonia solani, Bacillus sp. and Bacillus siamensis isolates achieved the highest inhibitory activities of 81.13 % and 78.55 %, respectively. Bacillus sp., B. siamensis, Acinetobacter radioresistens, and Providencia vermicola were able to solubilize phosphate. Production of Indole-3-Acetic Acid (IAA) was confirmed in Bacillus sp., Bacillus toyonensis, and Acinetobacter radioresistens, and all isolates also possessed the ability to fix nitrogen (N). Based on these parameters, Bacillus sp. and B. siamensis were selected for further analysis. The results showed that Bacillus sp. isolates supported rice seed tolerance to herbicides and insecticides in the range of 5-10 ppm and improved growth in the presence of difenoconazole and glyphosate at 10 ppm. Meanwhile, B. siamensis was tolerant to fungicides in the 5-10 ppm range. None of the selected isolates showed reduced growth after 24 h of incubation in the tolerance test for pesticide contamination. Observably, Bacillus sp. isolate treated with fipronil (5 ppm) was better than the control. It also matched the performance of the control treated with difenoconazole at 5 ppm. These suggested that the selected isolates improved rice growth and tolerance to the active ingredients of the pesticides, contributing to sustainable cultivation practices.
Penentuan Kerapatan Massa Tajuk Pohon Decurrent Berdasarkan Analisis Keragaan Fisik Siti Churotul Aini; Ulfa Adzkia; Agus Buono; Iskandar Zulkarnaen Siregar; Lina Karlinasari
Jurnal Ilmu Kehutanan Vol 20 No 1 (2026): March
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v20i1.22134

Abstract

Self-weight calculation was identified as an essential step in tree structural analysis. In practice, this calculation included estimating stem weight based on wood density, while crown density was expressed as a percentage of crown area. However, previous research had not provided explicit methodologies for determining crown density as a function of crown mass and volume. Therefore, this research aimed to establish a proper method and corresponding conversion factors for translating area-based crown density estimates to those derived from crown weight and volume. A total of 15 healthy decurrent trees were selected to assess crown volume and density through physical attribute analysis. The new crown area density was calculated after pruning, where all pruned crown biomass was collected and weighed to determine crown mass. Mathematical analyses were developed to convert crown density values. The results showed that decurrent trees had a mean crown density of approximately 2.95 kg/m3, exceeding the value reported in reference research for excurrent trees (1.9 kg/m3). Since this research focused on tropical tree species, the results could serve as a reference for subsequent research on tropical tree structural characteristics.
Co-Authors . Yulianti Aam Aminah Aam Aminah ABDUL MUNIF Abdul Munif Adinugroho, Wahyu Catur Adisti Permatasari Putri Hartoyo Aditya Nugroho Adzkia, Ulfa Agus Astho Pramono Agus Buono Agus Buono Agus Hikmat Agus Purwito Agus Wahyudi AINUN FADILAH Alami, Tegar Alfi Hudatul Karomah Ali Mukmin Alim Setiawan Slamet ALINA AKHDIYA Amandita, Fitri Yola Aminah . Andi Salamah Andi Sukendro Andry Indrawan Ani Suryani Ani Suryani Anita, Vilda Puji Dini Arida Susilowati Iswanto Arif Satria Arrofaha, Nawwall Atok Subiakto Ayyasy, Yahya Basuki Wasis Budi Tjahjono Cartealy, Imam Civi Cecep Kusmana Corryanti Corryanti Corryanti Corryanti Corryanti Corryanti Dede J Sudrajat Dede J. Sudrajat Dede J. Sudrajat Deden Derajat Matra Detty Sumiyati Dida Syamsuwida Dida Syamsuwida DIDA SYAMSUWIDA Dien Atin Boritnaban Dodik Ridho Nurrochmat Edje Djamhuri Endah R Palupi Endah Retno Palupi Erdy Santoso Ervizal A.M. Zuhud Ervizal AMZU ERYNA ELFASARI RANGKUTI Eryna Elfasari Rangkuti Fifi Gus Dwiyanti Fifi Gus Dwiyati Fredisa, Yoga Gailing, Oliver Harisson, Rhett D. Hartati Hartati Hartati, N Sri HARUNI KRISNAWATI Henti Hendalastuti R., Henti Hendalastuti Henti Rosdayanti Henti Rosdayanti, Henti IBNUL QAYIM Ida Theilade IGK TAPA DARMA Imam Wahyudi Indrawan, Imam Wahyudi IPB, BPKB Irdika Mansur Irsyad Kamal Ishak Ariawan Ishak Yassir Istomo . Karlisa Priandana Kissinger Kissinger Ko Harada Koichi Kamiya Koichi Kamiya Kosasih, Akhmad Kustiyarini, Nur Fadila KUSUMADEWI SRI YULITA Laswi Irmayanti Laswi Irmayanti, Laswi Latifah K. Darusman Latifah K. Darusman Lilik Budi Prasetyo Lina Karlinasari Lutfy Abdulah M. ISKANDAR Majiidu, Muhammad Matra, Deden Derajat Mohamad Rafi Moura, Carina Carneiro de Melo Mr. Kissinger Muhammad Majiidu Muhammad Rafi Muttaqin Muharam, Karima Fauziah Murdaningsih Haeruman K. Muttaqin, Muhammad Rafi Nasution, Tegar Alami Nelly Anna Nurul Khumaida Nyoto Santoso Prijanto Pamoengkas Putra, Heriansyah Rachmat, Henti Hendalastuti Rahila Junika Tanjungsari Rahman, Mohamad Miftah Regan Leonardus Kaswanto RIKA RAFFIUDIN rima siburian Rina Mardiana Ritonga, Faujiah Nurhasanah Septaningsih, Dewi Anggraini Silalahi, Mangarah Siti Churotul Aini Sri Wilarso Budi Supatmi Supatmi Supriyanto Supriyanto . Supriyanto Supriyanto Supriyanto Supriyanto Suria Darma Tarigan Suryanto Suryanto Suseno Amien Susila, Susila SYAIFUL ANWAR Syaiful Anwar Syamsidah Rahmawati, Syamsidah Syaputra, Dhika Tedi Yunanto Tedi Yunanto TEDI YUNANTO TEDI YUNANTO Triadiati Triadiati Ulfa Adzkia Ulfah J. Siregar Ulfah Juniarti Siregar Ulfah, Mariyana Ulfah, Mariyana Utami, Anisa Dwi Wardani, I Gusti Ayu Kusuma Wati, Ridha Wijayanto, Nurheni WINDRA PRIAWANDIPUTRA, WINDRA Wisnu Ananta Kusuma Yayat Hidayat YENI HERDIYENI Yosie Syadza Kusuma Yulianti Bramasto YULIANTI YULIANTI Zainal Muttaqin Zainal Muttaqin ZULFAHMI ZULFAHMI