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Padang lamun merupakan salah satu ekosistem pesisir yang berperan sebagai penyimpan karbon yang cukup penting.  Selama ini estimasi karbon tersimpan pada komunitas lamun masih dilakukan menggunakan metode pencuplikan secara langsung. Namun untuk kepentingan survey pada kawasan yang luas, cara tersebut membutuhkan waktu, tenaga dan biaya yang cukup besar. Oleh karena itu diperlukan metode untuk mengestimasi karbon tersimpan lamun dengan memanfaatkan citra satelit sehingga dapat dilakukan secara cepat, mudah dan murah. Sebagai tahap awal untuk mengestimasi karbon tersimpan menggunakan citra satelit, diperlukan model hubungan antara tutupan jenis lamun dengan karbon tersimpannya sebagaimana yang dilakukan pada penelitian ini. Penelitian dilakukan pada bulan September-Oktober 2016 di Pulau Barranglompo Makassar. Penelitian diawali dengan mengambil biomassa 6 jenis lamun yaitu Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, Halodule uninervis, Halophila ovalis dan Syringodium isoetifolium pada area seluas 25cm x 25 cm. Pengambilan biomassa setiap jenis lamun dilakukan untuk masing-masing jenis dengan 10 tingkatan persentase tutuapn lamun. sebanyak 10 kali pada persen tutupan jenis lamun yang berbeda-beda, mulai dari tutupan rendah sampai tutupan tertinggi yang ditemukan di lapangan. Penentuan penutupan lamun dilakukan dengan cara visual pada plot berukuran 50cm x 50cm. Selanjutnya dilakukan analisis karbon organik jaringan lamun (daun, rhizoma, akar dan seludang) masing-masing jenis, dengan ulangan 5 kali.  Hasil perkalian antara biomassa lamun dengan kandungan karbonnya merupakan karbon tersimpan lamun tersebut. Hubungan antara persen tutupan jenis lamun dan karbon tersimpan dianalisis menggunakan regresi polynomial.  Hasil penelitian menunjukkan bahwa pada semua jenis lamun yang diamati, hubungan antara persen tutupan dengan simpan karbonnya mempunyai hubungan positif yang kuat. Koefisien determinasi, r2 berkisar 0,7413-0,9838 untuk simpanan karbon bagian bawah dan 0,8017-0,9683 untuk simpanan karbon bagian atas.

In general, remote sensing has proven to be a powerful tool in the overall understanding of natural and anthropogenic phenomena. Satellites have become useful tools for tasks such as characterization, monitoring, and the continuous prospecting of natural resources. This research aims to analyze spatial dynamic and destructive on coral reefs area and correlation between live coral reduction and population on small islands. Landsat MSS, TM, ETM, and OLI-TIRS are used to spatial analyze of coral reef dynamics from 1972 to 2016. The image processing includes gap-filling, atmospheric correction, geometric correction, image composite (true color), water column correction, unsupervised classification, reclassification, accuracy assessment. The statistical analysis identifies the relationship between dynamic population data with a reduction of live coral, namely Principal Component Analysis (PCA) and Multiple Regression Analysis. The effect of the population shows a positive correlation with the reduction in the area of live coral, although it is significant. The fact is the practice of coral destruction on an island; it is usually not only caused or carried out by residents who live on the island but also carried out by other residents of different islands.

Ekosistem padang lamun merupakan ekosistem yang umum ditemukan di Kepulauan Spermonde, salah satunya adalah Gusung Bonebatang. Lamun mempunyai kemampuan menyerap karbon untuk proses fotosintesis sehingga berpotensi dalam  mitigasi perubahan iklim.  Penelitian dilakukan pada bulan Agustus 2017 untuk membandingkan penyerapan karbon oleh jenis Thalassia hemprichii  pada beberapa kedalaman perairan. Sampel lamun diambil pada daerah subtidal, kemudian daun lamun dibersihkan dari sedimen dan epifit. Metode perubahan oksigen digunakan untuk mengestimasi serapan karbon. Sebanyak 1 tunas T. hemprichii diinkubasi menggunakan botol kaca bening 70 ml. Inkubasi dilakukan pada jam 09.00-12.00 WITA pada kedalaman 50, 100, 150, 200 dan 250 cm dengan masing-masing 5 kali ulangan setiap kedalaman. Sebelum inkubasi, dilakukan pengukuran konsentrasi oksigen terlarut di perairan sebagai kandungan oksigen awal. Pengukuran oksigen di dalam botol bening kembali dilakukan setelah inkubasi. Selain oksigen terlarut, dilakukan juga pengukuran konsentrasi bikarbonat pada awal dan akhir inkubasi. Sebagai kontrol, inkubasi juga dilakukan pada air laut (mengandung fitoplankton) dengan 5 kali ulangan. Daun lamun yang telah digunakan untuk pengamatan serapan karbon diukur luasnya dengan cara men-scan daun lamun dan dianalisis menggunakan software Imaje-J. Selanjutnya dilakukan pengeringan menggunakan oven dan ditimbang untuk mengetahui biomassa keringnya. Hasil penelitian menunjukkan bahwa serapan karbon per tunas berkisar antara 0,928-1,476 mgCO2/tunas/jam, per biomassa berkisar 10,647-25,745 mgCO2/gbk/jam, dan per luas daun berkisar 0,010-0,024 mgCO2/cm2/jam. Serapan karbon tertinggi didapatkan pada kedalaman 200 cm, baik serapan karbon per tunas, biomass maupun luas daun.

Mangroves have numerous ecological functions as well as economical values. In order to achieve successful of mangrove restoration and regain its functions, understanding on the factors affecting the establishment of mangroves are required. This study examined the characteristics of physico-chemical factors from three compartments (sediment, interstitial and seawater) that associated with different mangrove densities in Ampallas, District of Mamuju, West Sulawesi. The Principal Component Analysis and Spearman correlation analysis showed that high densities of adult and seedling mangroves strongly correlated to higher organic contents, dissolved oxygen of interstitial water, seawater salinities and lesser pH of sediments, seawater and interstitial. The reverse conditions applied for the less mangrove densities and control site that had no mangrove. In most cases, there were reciprocal relationships amongst the studied variables.Keywords: chemical-physical factors, density, mangroves.

This study was conducted from June to November 2018 around the educational fish ponds of Hasanuddin University, Bojo Village, Mallusetasi Sub-District, Barru District, Indonesia. This study aimed to identify the mangrove species present, the crustacean and molluscan macrozoobenthos associated with the mangrove ecosystem, and to evaluate the level of stability of the mangrove ecosystem for the development of edu-tourism activities at the study site employing a Macrozoobenthos Ecological Index. Data on mangrove, macrozoobenthos, and other environmental parameters, were collected at five stations with three replicates per station. Mangrove data was collected within 10 m × 10 m plots, while macrozoobenthos were collected with a shovel and sieve net. Seven mangrove species were found: Avicennia marina, Bruguiera gymnorhiza, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, and Sonneratia alba. The width of the mangrove belt ranged from 28.23 to 57.00 m meaning that it was well below the national green belt standard (50-200 m). The organisms associated with mangroves included crustaceans (three species) and molluscs (seven species) with an abundance of 0.01 - 0.07 ind/m2. The Diversity Index was in the average category (1.49 - 1.92), while the Evenness Index ranged from unstable to under pressure (0.476 to 0.64). The Dominance Index was in the unstable category (0.185 - 0.264). Based on the Macrozoobenthos Ecology Indicator, the mangrove ecosystem in the fish ponds was categorised as stable to average. The land suitability analysis indicated that the mangrove ecosystem in the study site was in the conditionally appropriate category for the development of mangrove edu-tourism activities.

Coral reefs are organisms that live on the bottom of the waters and are in the form of limestone (CaCO3) which is strong against sea waves so that it can prevent coastal erosion and is also a place for various types of animals associated with coral reef ecosystems that utilize coral polyps. as his food. Mega-benthos are biota / organisms with a size of more than 1 cm that live on or in the seabed, including the sticking, creeping and burrowing biota that is visible with the camera. The research was conducted using the Line Intercept Transect Method and the Benthos Reef Check Method. The results showed that the highest percentage of live coral cover was found on Badi Island 71.46% (Good coral condition category), the moderate coral condition category was represented by Kapoposang Island (46.02%) and the bad coral condition category was represented by Ballanglompo Island ( 7.92%). The highest diversity of species (H ') Mega-benthos is at station 3 (Badi Island) with the value of H' = 2.528 while the lowest is at station IV (Lumu-lumu Island) with the value of H '= 0.6365. So that the category of the megabenthos species diversity index in the research location can be said to be in the low to moderate category.