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DISTRIBUSI KELIMPAHAN DAN KEANEKARAGAMAN ZOOPLANKTON DI PERAIRAN PESISIR YAPEN TIMUR, PAPUA Paiki, Kalvin; Kalor, John D; Indrayani, Ervina; Dimara, Lisiard
Maspari Journal : Marine Science Research Vol 10, No 2 (2018): Edisi Juli
Publisher : UNIVERSITAS SRIWIJAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.057 KB) | DOI: 10.36706/maspari.v10i2.5953

Abstract

Perairan Pesisir Yapen Timur merupakan tipe perairan terbuka, berhubungan dengan samudera Pasifik, memiliki tingkat keanekaragaman zooplankton yang sangat tinggi dan terletak di Pesisir Utara Papua. Tujuan penelitian ini adalah untuk mengetahui distribusi kelimpahan dan keanekaragaman zooplankton di Perairan Pesisir Yapen Timur. Metode yang digunakan adalah metode deskriptif dengan menggunakan pendekatan studi kasus. Hasil ditemukan komposisi zooplankton terdiri 6 kelas dan 34 spesies, tertinggi ditemukan oleh Crustaceae yaitu 28 spesies, dan terendah ditemukan oleh Ubur-ubur Rotifers, Dictyocysta, Polyhymenophorea dan Monogononta yaitu 1 spesies.  Kelimpahan zooplankton 856.689 ind/m³, kelimpahan tertinggi di titik 11 yaitu 82,166 ind/m³ dan terendah di titik 8 yaitu 31,210 ind/m³. Rata-rata keanekaragaman tergologn tinggi yaitu 3,35, keseragaman tergolong merata yaitu 0,88 dan dominansi tergolong rendah yaitu 0,05.
An annotated bird checklist for Gam island, Raja Ampat, including field notes on species monitoring and conservation Schrader, Julian; Mühlenberg, Michael; Stinn, Christina; Mühlberger, Fabian; Weinrich, Christoph; Hofmann, Tim; Kalor, John D; Moeljono, Soetjipto; Parsch, Christoph; Sattler, Cornelia
Forest and Society Vol. 4 No. 2 (2020): NOVEMBER
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v4i2.8664

Abstract

Species checklists are a fundamental component of biodiversity research. They foster understanding of species distributions and habitat preferences, thus reducing gaps of knowledge in geographical occurrences of species. Especially in light of the limited availability of data on species distributions for Tanah Papua, an increasing scientific focus on the region is crucial to foster and refine the knowledge of species occurrences and to inform potential conservation planning. Despite a strong focus on conservation of Raja Ampat´s marine areas, surprisingly few studies have focused on the terrestrial biodiversity of the archipelago. As a consequence, detailed species checklists are largely missing. Here, we provide a preliminary bird species checklist for the island of Gam and its surrounding islands, located in the central Raja Ampat archipelago. During nine sampling periods between 2013 and 2019, we recorded 132 bird species in six distinct habitat types. Of the detected species, six are considered threatened by IUCN Red List criteria. We further recorded three new species for Gam Island, thereby expanding their known extent of occurrence.
Estimation of Rhizophora mucronata carbon stock in Youtefa bay, Jayapura, Papua Indrayani, Ervina; Kalor, John D; Hisyam, Muhammad; Waum, Ida
Depik Vol 12, No 3 (2023): DECEMBER 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.3.31900

Abstract

Papua island has the largest mangrove forest area in Indonesia, reaching 1,350,600.00 Ha which accounts for half of the entire area of mangrove forests in Indonesia. One of the locations with a fairly extensive mangrove forest in the Jayapura area is in Youtefa Bay. Although mangroves have large environmental potential, local people use the forest as building materials, food, fishing tools, and medicines. Mangrove forests have an active role in maintaining global climate stability in the world, forest vegetation will fix CO2 through the process of photosynthesis. Mangrove forests per hectare can store up to four times more carbon than other tropical forests worldwide. This research aims to estimate the amount of carbon stock Rhizophora mucronata can store in mangrove forests in Youtefa Bay, particulary in Tobati, Enggros and Entrop Villages, Jayapura, Papua. The method used in this study was using Allometric Equations to estimate the biomass carbon from Rhizophora mucronata and compared to three different satellite imagery algorithms. The research results showed that the biomass of Rhizophora mucronata stands in Entrop Village was the highest and the lowest in Enggros Village. In addition, the results of measurements of carbon stocks in Tobati and Enggros Villages showed that the values were similar, only 0.23 kgC/m2 with carbon stocks in Entrop Village reaching 19.46 kgC/m2. Based on the results of measuring satellite imagery with three different algorithms, it was found that using the EVI algorithm produced the smallest Standard Error of Estimate, which was 1.63 kg C/m2. The estimated total carbon in Youtefa Bay is 213,424.69 kg C/m2.Keywords:AllometricCarbon StockRhizophora mucronataYoutefa Bay
Estimation of Rhizophora mucronata carbon stock in Youtefa bay, Jayapura, Papua Indrayani, Ervina; Kalor, John D; Hisyam, Muhammad; Waum, Ida
Depik Vol 12, No 3 (2023): DECEMBER 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.3.31900

Abstract

Papua island has the largest mangrove forest area in Indonesia, reaching 1,350,600.00 Ha which accounts for half of the entire area of mangrove forests in Indonesia. One of the locations with a fairly extensive mangrove forest in the Jayapura area is in Youtefa Bay. Although mangroves have large environmental potential, local people use the forest as building materials, food, fishing tools, and medicines. Mangrove forests have an active role in maintaining global climate stability in the world, forest vegetation will fix CO2 through the process of photosynthesis. Mangrove forests per hectare can store up to four times more carbon than other tropical forests worldwide. This research aims to estimate the amount of carbon stock Rhizophora mucronata can store in mangrove forests in Youtefa Bay, particulary in Tobati, Enggros and Entrop Villages, Jayapura, Papua. The method used in this study was using Allometric Equations to estimate the biomass carbon from Rhizophora mucronata and compared to three different satellite imagery algorithms. The research results showed that the biomass of Rhizophora mucronata stands in Entrop Village was the highest and the lowest in Enggros Village. In addition, the results of measurements of carbon stocks in Tobati and Enggros Villages showed that the values were similar, only 0.23 kgC/m2 with carbon stocks in Entrop Village reaching 19.46 kgC/m2. Based on the results of measuring satellite imagery with three different algorithms, it was found that using the EVI algorithm produced the smallest Standard Error of Estimate, which was 1.63 kg C/m2. The estimated total carbon in Youtefa Bay is 213,424.69 kg C/m2.Keywords:AllometricCarbon StockRhizophora mucronataYoutefa Bay