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Nitrate, Phosphate, Silica and Phytoplankton Abundance in the Coastal Waters of Maitara Island, North Maluku Sabar, Mesrawaty; Samman, Ardan; Abubakar, Salim; Sunarti, Sunarti; Rina, Rina; Bahtiar, Bahtiar
Journal Omni-Akuatika Vol 20, No 2 (2024): Omni-Akuatika November
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2024.20.2.1147

Abstract

Nitrate, phosphate, and silica are nutrients needed for the growth of phytoplankton populations. The primary objective of the present study was to establish the relationship between the nutrient composition (nitrate, phosphate, and silica) and phytoplankton abundance. Sampling was was conducted at three observation stations located in the tidal zone of Maitara Island coast, North Maluku. Collection of plankton samples in coastal waters using a 25 µm plankton net. Phytoplankton cells were identified and counted in the laboratory using an electric microscope with 100x magnification. Phytoplankton observations were carried out using the field of view method. Testing the concentration of nitrate, phosphate, and silica using spectrophotometer techniques. The research data were analyzed using a correlation test. The research findings indicated that the coastal waters surrounding Maitara Island were classified as oligotrophic waters, based on the nitrate and phosphate, and silica content. Oligotrophic waters have very low nutrient content such as nitrogen and phosphorus, causing low primary productivity. Simultaneously, nitrate, phosphate, and silica concentrations had a very strong correlation (R=0.823) with phytoplankton abundance. Partially, the correlation between nitrate concentration and phytoplankton abundance was classified as very strong (R=0.729). However, the correlation between phosphate concentration and phytoplankton abundance was moderately significant (R=0.577), and the correlation between silica concentration and phytoplankton abundance was weak (R=0.386). High concentrations of nitrate and phosphate in coastal waters lead to increased abundance of phytoplankton. However, high silica concentrations in waters can only increase the abundance of certain phytoplankton groups, for example diatoms and radiolarians. Keywords: Phytoplankton abundance, nitrate, phosphate, silica, Maitara Island
Carbon stock estimation of mangrove vegetation using remote sensing in Bacan, Awanggoa District, South Halmahera Supyan, Supyan; Samman, Ardan; Achmad, M. Janib; Fadel, Ariyati; Kadir, Maskur Abdul
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46978

Abstract

Awanggoa Village in Bacan District, South Halmahera Regency, has experienced significant residential expansion, converting around 9 hectares of mangrove land into a residential area. The remaining mangrove ecosystem, covering an area of 16.84 hectares in the northern part of the village, is starting to experience degradation, especially along the coast and southern areas. This condition requires management policies that ensure the sustainability of the ecosystem. The purpose of this research is to analyze the NDVI condition of the mangrove ecosystem, as well as measure biomass, carbon stock, and CO2 absorption, using remote sensing methods via the GEE application (https://code.earthengine.google.com) with data collected from January 1 to December 31, 2023. The research results show a total biomass of 101.21 tons ha, carbon stock of 47.57 tons C ha, and CO2 storage of 174.88 tons C. Dense vegetation is very important for carbon storage and emission reduction, thus supporting sustainable mangrove ecosystem management and environmental conservation efforts.
Carbon stock estimation of mangrove vegetation using remote sensing in Bacan, Awanggoa District, South Halmahera Supyan, Supyan; Samman, Ardan; Achmad, M. Janib; Fadel, Ariyati; Kadir, Maskur Abdul
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46978

Abstract

Awanggoa Village in Bacan District, South Halmahera Regency, has experienced significant residential expansion, converting around 9 hectares of mangrove land into a residential area. The remaining mangrove ecosystem, covering an area of 16.84 hectares in the northern part of the village, is starting to experience degradation, especially along the coast and southern areas. This condition requires management policies that ensure the sustainability of the ecosystem. The purpose of this research is to analyze the NDVI condition of the mangrove ecosystem, as well as measure biomass, carbon stock, and CO2 absorption, using remote sensing methods via the GEE application (https://code.earthengine.google.com) with data collected from January 1 to December 31, 2023. The research results show a total biomass of 101.21 tons ha, carbon stock of 47.57 tons C ha, and CO2 storage of 174.88 tons C. Dense vegetation is very important for carbon storage and emission reduction, thus supporting sustainable mangrove ecosystem management and environmental conservation efforts.
Distrubution and Morphological Identification of Eel (Anguilla sp.) In Kayoa Sea, South Halmahera, North Maluku Achmad, M Janib; Akbar, Nebuchadnezzar; Samman, Ardan; Supyan, Supyan; Ismail, Firdaut; Samad, Julkar
Jurnal Kelautan Vol 18, No 2: Agustus (2025)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jk.v18i2.27507

Abstract

North Maluku Province is an archipelagic province that has a sea area of 113,796.53 km2 or 70% of the land area. As an archipelagic area, North Maluku waters have high biodiversity. One of the important biota in North Maluku waters is the eel. Eel is one of the water resources that have high economic value, because of its nutritional contentEel (Anguilla sp) is a catadromous fish that begins its life in the larval or juvenile phase in marine waters and grows up in brackish and fresh waters. This study aims to determine the distribution of eel species (Anguilla sp) in the seas and the morphometric eel (Anguilla sp) in kayoa waters. The results showed that the number of eels found at both stations was 13 tails. The results of the morphological analysis showed that the type of eel found at both stations was A. marmorata, the morphometric identification results showed that at station 1, the total length range was 50 - 106 cm, with a weight of 460-4100 grams, while at station 2 obtained a length range of 65 cm - 83 cm, with a weight of 79 -1300 grams. Key Word: Area, Morphometri, Anguilla, Small Island, Tropis
Relationship between Gastropod Abundance and Total Organic Material (BOT) Sediments in Mangrove Habitats in Gambesi Village, South Ternate District, Ternate City Sembel, S. Nurul K.; Sabar, Mesrawaty; Benua, Rusmawati La; Subur, Riyadi; Fabanjo, Mohammad Abjan; Samman, Ardan
Jurnal Biologi Tropis Vol. 24 No. 2b (2024): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i2b.7867

Abstract

In the mangrove ecosystem there are many gastropods which are one of the biological resources. As a habitat, Gastropods have high diversity and occupy the mangrove ecosystem. Organic detritus gets food supply through mangrove forests and makes an important contribution as the main source of food for biota living in the surrounding waters. The purpose of the study was to determine the diversity and abundance of gastropods, determine the concentration of total organic matter (BOT), analyze the relationship between the abundance of gastropods and total organic matter (BOT) in the sediment in the mangrove habitat and determine the condition of water quality at the research location of the coastal mangrove habitat of Gambesi Village. This study uses qualitative and quantitative methods. Sampling of gastropods was carried out using a block area measuring 20 x 20 m², which was carried out at low tide. The data analysis methods used were gastropod abundance, diversity index, organic matter content, simple linear regression. The results of the analysis of the highest gastropod abundance were at station 2 for the Terebralia sulcata species of 48 individuals and the lowest were at station 1 for the Nerita polita species of 3 individuals. The diversity index of station 1 is H’= 1.80 and station 2 is H’= 1.83, included in the medium diversity category. Station 1 sediment organic matter content is 34.20% in the high category and station 2 is 49.50% in the very high category. According to the simple regression test value, the correlation coefficient value ranges from around 0.8 <r ≤ 1.0 which proves that the abundance of gastropods has a large correlation with the organic matter content in the sediment.
DNA Barcoding of Red Algae (Rhodophyta) in Ternate Island Sea, North Maluku, Indonesia Achmad, Muhammad Janib; Akbar, Nebuchadnezzar; Ismail, Firdaut; Samman, Ardan; Subhan, Beginer; E Paembonan, Rustam; Arafat, Dondy
Jurnal Ilmiah Perikanan dan Kelautan Vol. 16 No. 1 (2024): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v16i1.44436

Abstract

Abstract Ternate Island is located on the North Maluku Sea. The North Maluku Sea region includes the Wallacea area and the world's coral triangle. One of the organisms commonly found in this sea is red algae. Study aimed to determine the red algae species by phylogenetic tree analysis based on the rbcL gene as a DNA marker. The preserved red algae tissue samples were extracted with the Geneaid GP100 DNA Extraction Kit Plant. The DNA sample was amplified and then visualized by 1% agarose gel electrophoresis. The amplicon products were sequenced and then aligned with the rbcL gene database that was available at the NCBI gene bank. The phylogenetic tree was constructed using the UPGMA method. The results showed that red algae were identified into four species: namely Gibsmithia hawaiiensis (98.65%), C_rbcL sample was identical to Amansieae sp. (91.50%), D_rbcL sample was identical to Peyssonnelia sp. (95.54%), and G_rbcL sample was similar to Portieria hornemanniI (96.15%). Based on phylogenetic tree analysis, Gibsmithia hawaiiensis from North Maluku is closely related to species from Raja Ampat, West Papua, Indonesia, followed by the Philippines species. Special findings were found to carry out phylogenetic reconstructions that can answer inter-species kinship. The general finding is that the markers used can be used for phylogenetic construction. Phylogenetic construction of Peyssonnelia sp. in North Maluku is related to species from South Africa. North Maluku's Portieria hornemannii is closely related to a species from Korea. Highlight Research This study provides initial information about the DNA barcoding of red algae. Important for management purposes and determining the status of red algae in the future. This scientific information also provides an understanding of the relationships among red algae species in the world's oceans. Global warming has changed the temperature of seawater and affected the population of marine organisms.