Nyoman Metta N Natih
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The spatial distribution of coral diversity and conection to the oceanography conditions of Tidore Island Waters Abdul Motalib Angkotasan; Abdul Ajiz Siolimbona; Salnudin Salnuddin; Firdaut Ismail; Asmar Hi Daud; Nyoman Metta N Natih
Depik 2025: Special Issue ICMF
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.47445

Abstract

The Optimal coral reefs are distributed in shallow waters between 0 and 30 m deep, influenced by the hydro-oceanographic variability of the waters. Globally, corals are distributed in various forms of water predominantly found in the Coral Triangle region. This study aims to examine the spatial distribution of coral biodiversity in the Tidore Island Waters. This study was conducted in the Tidore Island Waters at three research stations, namely Tugulufa Station, Toloa Station and Tanjun Konde Station. This study analyzed the spatial distribution of coral and the relationship between coral biodiversity and the hydro-oceanographic conditions of the Tidore Island waters. The results showed that the highest coral diversity was found at Toloa Station, with the largest area being the Acropora tabulate coral life form. Acropora coral species were found throughout the research location, with the highest percentage of cover found at Toloa Station. Temperature and salinity variables are the main characteristics in the three research locations. Temperature has a role and main characteristics in Toloa Station. The spatial distribution of Acropora corals is related to temperature and salinity variability.Keywords:Coral reefTidore waterTemperatureSalinity
Mapping and validation of spatial algorithm for monitoring turbidity of seagrass habitat using sentinel-2B imagery in Ternate Island Rustam Effendi Paembonan; Dietriech Geoffrey Bengen; I Wayan Nurjaya; Syamsul Bahri Agus; Nyoman Metta N Natih; Beginer Subhan; Joko Santoso
Depik 2025: Special Issue ICMF
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46989

Abstract

Turbidity is a parameter of the marine environment that greatly affects the condition of seagrass whose habitat is an intertidal zone in shallow sea waters. Seagrass is an important type of ecosystem that can be found in several coastal areas of Ternate Island. This study aims to analyze the turbidity conditions of seagrass habitat waters and apply a remote sensing algorithm using Sentinel 2B images. The turbidity research method was carried out by field measurements. The turbidity algorithm model used refers to references with mathematical equations (Rrs665-0.014)/0.013, and the development of a new algorithm as a comparison algorithm. Both algorithms were validated with field data to determine the level of accuracy using the Normalized Mean Absolute Error (NMAE) and determination coefficient (R2). The results were obtained from turbidity data with values ranging from 0.3 NTU to 1.5 NTU with an average value of 0.87 0.45 NTU. The Sentinel 2B image in this study was restored with geometric corrections, atmosphere, radiometric digital values, land masking, and sun glint. The turbidity algorithm model used obtained good accuracy in mapping and monitoring the turbidity of seagrass habitat waters on Ternate Island. The application of the turbidity algorithm used as a reference in this study has an NMAE value of 50.44 and R2 of 0.8822, while the newly discovered turbidity algorithm has an NMAE value of 29.38 and R2 of 0.8827.Keywords:remote sensingecosystemscoastalsedimentationNorth Maluku
Preliminary study oceanography and environmental parameters of habitat endemic species Halmahera walking shark (Hemiscyllium halmahera) on Indopacific Ocean Area in North Maluku Indonesia Nyoman Metta N Natih; Nebuchadnezzar Akbar; Dietriech G Bengen; I Wayan Nurjaya; Riyadi Subur; Abdurrachman Baksir; Firdaut Ismail; Iswandi Wahab; Dondy Arafat; Rustam E Paembonan; Abdul Ajiz Siolimbona; Rasidi Rasidi; Asep Sandra Budiman; Beginer Subhan
Depik 2025: Special Issue ICMF
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46913

Abstract

The Halmahera Walking Shark (Hemiscyllium halmahera) is an endemic species in the Halmahera Sea. Information related to the environment in general has not been described in a complex manner. The environment is the main factor to support the life of biota. Environmental characteristics are a determining factor in the sustainability of biota. The study aims to provide information related to the physical environment of the habitat of the H. halmahera species. Primary data collection was carried out directly (in situ). Current data was taken using the Lagrange method using a currents drogue. Tides using tidal palms and observed for 24 hours. Secondary data was taken from Marine Copernicus and the Geospatial Information Agency (BIG). All data were tabulated and analyzed by Ocean Data View (ODV) software. The results of the study found that the surface current velocity was found to be in the fast current category. Current speed descriptively provides information on the life of H. halmahera. Primary data shows that the direction of the surface current moves to the east and north. Secondary data in vertical distribution shows weak zonal and meridional current shifts. The tidal pattern was found to be two high and low tides (semidiurnal). The distribution of surface temperature was found to be around 30-32oC. The vertical temperature profile found three layers, namely 1-13m (30oC), 65m (25oC) and 71m (20oC). The chemical environment showed all normal variables. The physical and chemical environmental conditions support H. halmahera to inhabit the sea area of Morotai Island. The environmental description has provided a brief understanding of how the ecological role of the H. halmahera species. Management and sustainability of the environment in the future due to climate change can be done with information on habitat characteristics.Keywords:coral triangleHalmaheranicheNorth Malukutropical