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"Mangrove molluscs data collected from some mangrove forest in Indonesia (Sumatra, Kalimantan, Java, Mollucas, and Papua) are used in order to understand the mangrove molluscs distribution and pattern of species abundance. The result of the present study strongly suggest three models (or combination of them) of distribution (1) molluscs (especially bivalve ) only recruit into certain microhabitat, in which they reach larger densities; (2) certain species of mollusc may recruit widely, but suffer increase mortality in certain microhabitats; and (3) molluscs (especially for mobile animals, such as many gastropods) may actively move among macrohabitats, increasing local densities in some of those. The correlation between features of habitat and abundance of molluscs which can be described as preference are discussed "

"Mangrove is an essential natural resources and vital component for coastal areas both ecology and socio-economic. Adapted mangrove vegetarian on tsunami disaster is important information for mangrove rehabilitation post-tsunami. The aim of the research was to determine the structure and species richness of mangrove vegetation post-tsunami in Aceh and Nias Island by vegetation analyses and inventory methods. Field survey was carried out in March 2005 - three months after tsunami disaster. We found 20 adapted mangrove species post-tsunami in Nias Island, dominated by rhizophora apiculata. Land system of KJP was compound of 17 adapted mangrove species, and land system of PTG and KHY were each compound of 7 adapted mangrove species. Based on our research, we recommended that R. apiculata is the first priority species to be used for mangrove rehabilitation in Nias Island "

"Hutan mangrove memiliki peran penting dalam mengurangi dampak dari pemanasan global di wilayah perkotaan dan sekitarnya, salah satunya melalui penyerapan karbon. Penyerapan karbon tersebut diperlukan untuk mengurangi gas rumah kaca di atmosfer. Kapasitas penyerapan karbon atau stok karbon hutan mangrove dapat dilihat dari nilai biomassa yang dimilikinya. Penelitian ini bertujuan untuk menganalisis persebaran stok karbon hutan mangrove dan hubungannya dengan kondisi fisik wilayah hutan mangrove. Persebaran stok karbon di daerah studi dianalisis dengan menggunakan kombinasi pendekatan indeks vegetasi dan analisis statistik regresi. Indeks vegetasi yang digunakan yaitu ARVI, SAVI, dan EVI yang diperoleh dari pengolahan citra satelit Sentinel 2-A. Nilai biomassa hutan mangrove didapatkan dari persamaan alometrik. Hasil penelitian menunjukkan bahwa persebaran stok karbon hampir di seluruh wilayah hutan mangrove Teluk Benoa mengalami peningkatan stok karbon tiap tahun. Hubungan perubahan stok karbon dengan kondisi fisik wilayah mangrove cenderung positif. Hal tersebut dibuktikan pada 3 dari 4 parameter fisik wilayah yang memiliki hubungan positif, yaitu suhu, salinitas, dan banyaknya jenis vegetasi.

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Mangrove forests have an essential role in reducing the impact of global warming in urban and surrounding areas, one of which is through carbon sequestration. Carbon sequestration is needed to reduce greenhouse gases in the atmosphere. The capacity of carbon sequestration or carbon stocks of mangrove forests can be seen from its biomass value. This study aims to analyze the distribution of mangrove forest carbon stock and its relationship with the mangrove forest area's physical condition. The distribution of carbon stocks in the study area was analyzed using a vegetation index approach and statistical regression analysis. The vegetation indices used are ARVI, SAVI, and EVI obtained from processing Sentinel 2-A satellite imagery. The value of mangrove forest biomass is obtained from the allometric equation. The results showed that the distribution of carbon stocks in almost all the mangrove forests of Benoa Bay had increased carbon stocks every year. The relationship between carbon stock changes and mangrove areas' physical condition tends to be positive. The connection is evidenced by three of the four physical parameters of the site that have a positive relationship: temperature, salinity, and vegetation types."

"Tujuan dari penelitian ini adalah untuk mengetahui karakteristik hutan mangrove dan pola distribusinya di wilayah pesisir Brebes pada tahun 2013-2022. Metode yang digunakan dalam penelitian ini adalah indeks vegetasi dan Random Forest. Hasil dari penelitian ini menunjukkan adanya perubahan luas yang signifikan selama periode penelitian dan hutan mangrove di wilayah pesisir Brebes memiliki persebaran yang luas, serta tingkat kerapatan yang cukup tinggi. Meskipun telah mengalami kerusakan yang diakibatkan oleh bencana banjir Rob di tahun 2014 dan dampak dari aktivitas manusia, seperti pengalih fungsi lahan serta penebangan ilegal, hutan mangrove di lokasi penelitian terus berkembang karena adanya program rehabilitasi mangrove yang dilakukan oleh komunitas setempat dalam menjaga keasrian hutan mangrove di wilayah pesisir Brebes.

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The purpose of this study was to determine the characteristics of mangrove forests and their distribution pattern at the Coast of Brebes in 2013-2022. The method used in this study are the Vegetation Index and Random Forest. The results indicate that there were significant changes in area during the study period and the mangrove forests in the coastal area of Brebes have a wide distribution, and a fairly high level of density. Despite the damage caused by the 2014 tidal flood disaster and the impact of human activities, such as land conversion and illegal logging, the mangrove forests in the study area continue to grow due to the mangrove rehabilitation program carried out by the local community in maintaining the beauty of the mangrove forests in Brebes coastal area."

"Mitigasi perubahan iklim terkait dengan pengelolaan hutan mangrove telah mendapat perhatian yang signifikan di dunia internasional selama dekade terakhir namun mengalami kesulitan akibat kurangnya data yang dapat diandalkan untuk melakukan kuantifikasi seberapa banyak kandungan karbon yang ada. Hutan mangrove di Provinsi Bali terbagi menjadi 3 jenis habitat yaitu teluk terbuka yang terletak di Taman Nasional Bali Barat, teluk semi tertutup yang berada di Tahura Ngurah Rai dan pulau kecil yang berada di Hutan Lindung Nusa Lembongan. Penelitian ini bertujuan untuk menganalisis hubungan antara kandungan karbon hutan mangrove dengan tipe dan morfologi habitat hutan mangrove yang berbeda. Perhitungan biomassa dilakukan dengan menggunakan rumus alometrik namun persamaan alometrik yang sama dapat menghasilkan akurasi yang berbeda pada lokasi habitat yang berbeda. Perhitungan kandungan karbon hutan mangrove untuk tipe habitat teluk semi tertutup memiliki nilai estimasi tertinggi yaitu 51,35 ton/ha dengan pola hubungan positif sebesar 60%, sedangkan nilai estimasi karbon terendah berada pada habitat teluk terbuka sebesar 26,28 ton/ha dengan pola hubungan positif sebesar 48%. Penelitian ini menunjukkan bahwa setiap tipe habitat hutan mangrove memiliki karakteristiknya sendiri terhadap ekosistem yang hidup di wilayahnya dan hal ini berpengaruh terhadap nilai karbon yang dikandungnya.

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Climate change mitigation regarding mangrove forest management has received significantly in international attention over the past decade, but it is lack of reliable data to quantify how much carbon stock is available. The mangrove forest in Bali Province is divided into three habitat types such as open bay beach located in West Bali National Park, semi closed bay beach located in Tahura Ngurah Rai and small island beach located in protected forest of Nusa Lembongan. The research aim is to analyze the relationship between carbon stock characteristics of mangrove forest with the different type and morphology of mangrove forest habitat. Biomass calculations was carried out using the allometric formula, however the similar allometric equations can produce different accuracy at different locations. The calculation of mangrove forest carbon stock for semi closed bay beach habitat has the highest estimation value of 51.35 tons/ha with a positive relationship pattern of 60%, in the other hand, the lowest carbon stock value is in open bay beach is 26.28 tons/ha with positive pattern of relation equal to 48%. This study indicates that each type of mangrove forest habitat has it's own charasteristics to the living ecosystem in it's territory and this affects to the carbon value."

"Penelitian mengenai analisis kerapatan dan persebaran vegetasi mangrove menggunakan teknologi penginderaan jauh berlokasi di Pulau Tunda, Kabupaten Serang, Provinsi Banten perlu dilakukan untuk memberikan informasi dan data ilmiah mengenai vegetasi mangrove di Pulau Tunda. Penelitian tersebut bertujuan untuk mengetahui komposisi spesies vegetasi mangrove, kerapatan vegetasi mangrove, dan zonasi vegetasi mangrove. Penelitian ini telah dilakukan pada 1--5 April 2016. Metode penelitian yang digunakan antara lain purposive sampling, metode transek garis berpetak, dan pengolahan citra landsat 8 OLI. Hasil penelitian menunjukkan bahwa komposisi mangrove sejati terdiri atas 9 spesies dari 7 famili, sedangkan mangrove asosiasi terdiri atas 9 spesies dari 8 famili. Kerapatan vegetasi mangrove berdasarkan transfomrasi NDVI (0,194) dan EVI (0,085) termasuk ke dalam kelas kerapatan mangrove jarang dan tingkat kesehatan mangrove rendah. Koefisien korelasi antara NDVI (0,147) dan EVI (0,007) dengan luas basal area berkolerasi positif tetapi tergolong rendah. Zonasi mangrove sejati yang paling dominan ialah 1) Rhizophora stylosa, 2) Excoecaria agallocha, dan 3) Sonneratia caseolaris, sedangkan zonasi mangrove asosiasi ialah 1) Pongamia pinnata, 2) Morinda citrifolia, dan 3) Pandanus odoratissima. Mangrove di Pulau Tunda memiliki kelas kerapatan jarang dan persebaran acak.

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Research on analysis of the density and distribution of mangrove vegetation using remote sensing technology in Tunda Island, Serang Regency, Banten Province, was needed to give information and scientific data about mangrove vegetation in Tunda Island. The study aims to know species composition of mangrove vegetation, mangrove vegetation density, and mangrove vegetation zonation. The study was conducted on 1st -- April 5th, 2016. The method was used purposive sampling, partition line transect, and landsat satellite image 8 OLI processing.

The results showed that true mangrove composition consist of 9 species from 7 families, while associate mangrove consist of 9 species from 8 families. Mangrove vegetation density based transformation of NDVI (0,194) and EVI (0,085) was considered as rare class of mangrove density and mangrove healthy as low grade. Correlation coefficient between NDVI (0,147) and EVI (0,007) with basal area was considered as positive correlation but low grade correlation. The most dominant zonation of true mangrove vegetation were 1) Rhizophora stylosa, 2) Excoecaria agallocaha, and 3) Sonneratia caseolaris, while zonation of associate mangrove were 1) Pongamia pinnata, 2) Morinda citrifolia, and 3) Pandanus odoratissima. Mangrove in Tunda Island has rare class of density and random distribution."

"ABSTRACTElusive Population adalah populasi yang anggotanya sulit untuk dideteksi dan tidak mempunyai kerangka sampling yang lengkap dan jelas. Metode sampling yang khusus diperlukan untuk melakukan pengambilan sampel pada Elusive Population. Centre Sampling adalah salah satu metode pengambilan sampel yang dapat digunakan pada Elusive Population. Ide dari Centre Sampling ini adalah mengamati individu yang menjadi objek penelitian pada pusat berkumpulnya individu-individu tersebut atau yang disebut dengan pusat agregasi. Secara umum ada dua tahap pengambilan sampel pada Centre Sampling, yang pertama adalah memilih sebanyak m pusat agregasi dari M pusat yang sudah ditentukan. Kemudian yang kedua peneliti harus mengamati setiap individu yang ada di pusat yang terpilih. Centre Sampling mempunyai kondisi Inclusion Probability, dimana peluang setiap individu untuk dapat terplih menjadi anggota sampel berbeda-beda . Pada penulisan skripsi ini parameter populasi yang akan ditaksir menggunakan Centre Sampling adalah total populasi. Estimator yang akan digunakan untuk mencari taksiran total populasi adalah Horvitz ndash; Thompson Estimator yang diperkenalkan oleh Horvitz ndash; Thompson pada tahun 1952. Horvitz ndash; Thompson Estimator adalah penaksir yang tak bias untuk total populasi. Pada skripsi ini juga akan dicari taksiran variansi dari taksiran total populasi.

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ABSTRACTExlusive Population is population which members are difficult to detect and does not have any complete and clear sampling frame. A particular sampling method is required to take samples from Elusive Population. Centre Sampling is one of the sampling method that can be used on Elusive Population. The idea of Centre Sampling is to observe individual who becomes an object of research in a centre where all individual gather, or called as a centre of aggregation. In general, there are two steps to take samples in Centre Sampling. First of all, choose as many as m of M centre of aggregation that have been listed. Then, researchers must observe every individual in the selected centre. Centre Sampling has an Inclusion Probability condition, which probability of every individual of being selected as a member of samples are different. In this undergraduate thesis, population parameter which will be estimated using Centre Sampling is total population. The estimator which will be used to find the estimated total population is Horvitz Thompson Estimator, introduced by Horvitz Thompson in 1952. Horvitz Thompson Estimator is an unbiased estimator for total population. This undergraduate thesis will also look for unbiased estimator of the variance for estimated total population. "

"Abrasi merupakan peristiwa alam yang patut menjadi perhatian,terutama para nelayan dan penduduk di sepanjang pantai khususnya di pantai Sukaoneng, Pulau Bawean

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