Meutia Samira Ismet
Department of Marine Science and Technology, Faculty of Fisheries and Marine Sciences, Institut Pertanian Bogor. Jl. Agatis, Kampus IPB Darmaga, Bogor 16680, West Java, Indonesia

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Using morphometric characters to estimate leaf productivity of seagrass Halophila major Robba Fahrisy Darus; Dietriech Geoffrey Bengen; Neviaty Putri Zamani; Meutia Samira Ismet
Biodiversitas Journal of Biological Diversity Vol. 25 No. 12 (2024)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d251237

Abstract

Abstract. Darus RF, Bengen DG, Zamani NP, Ismet MS. 2024. Using morphometric characters to estimate leaf productivity of seagrass Halophila major. Biodiversitas 25: 4994-5004. Halophila major is a seagrass species with new records in Indonesia. This species was described based on morphometric characteristics and DNA sequencing. In this study, we expand our understanding about this species by looking at its leaf productivity. This study aims to determine the productivity of H. major leaves collected across various locations of Indonesian waters and analyses its relationship with morphometric characters. Morphometric characters (Leaf Length-LL, Leaf Width-LW, and Leaf Area-LA) were used to see the correlation with leaf productivity parameters, namely Leaf Dry Weight (LDW), Specific Leaf Area (SLA), Biomass (BIO), and Carbon Concentration (CS) estimated using allometric methods. The result of this study indicates that the biomass of H. major is greater than H. ovalis, its closest relative. LL and LW were more strongly correlated with LDW compared to LA. Biomass was also greatly influenced by LL and LDW. Leaf productivity variation is affected by the leaf size, suggesting that leaf productivity can be used to distinguish seagrass species under the similar genus. This study showed that allometric equations can be used quickly to assess the biomass of small seagrasses. However, more data is needed for knowing and interpreting a character in new seagrass species. Hence, this study must be replicated for other seagrass species.