Irrawaddy dolphins (Orcaella brevirostris) are aquatic mammals with critically endangered status able to live in different water salinities habitats, like estuary, rivers and lakes. Banten Bay features estuarine area where rapid economic development, contributed from industry, ports, mining and fisheries, takes place, and thus the presence of Irrawaddy dolphins in the area faces various environmental threats. This research aimed to study the distribution of Irrawaddy dolphins in Banten Bay and explore environmental factors threatening its life. Dolphins observation was conducted from January 2013-February 2014, using direct visual effort by team of observer and indirect effort by local fishermen. Direct visual effort was performed on boat by three observers, with maximum vessel speed 15 km/hour and total length of transect was 404 Km. Indirect visual effort comprised of regular assessment by 32 local fishermen when they conducted capture fishing at two different areas (South and North of Banten Bay). Sightings data from direct and indirect visual observation compiled with respondents opinion were mapped using Arc View ® GIS 3.3, resulting in distribution map of Irrawaddy dolphin in Banten Bay. Irrawaddy dolphin was most frequently observed in the northeast, south and central areas of the bay. Environmental threats alarming the lives of Irrawaddy dolphin in the Banten Bay may include noise pollution, boat accident and entanglement.
Seagrass ecosystem and dugongs (Dugong dugon) are significant features of the northern coastal areas of Toli-toli and its adjacent small islands. Local communities are familiar with the dugongs for some reasons, including activities threatening its population. Therefore, Dugong and Seagrass Conservation Project-Indonesia initiated conservation of the seagrass ecosystem and the dugongs in Toli-toli. Local communities, with supports from local governments, are keen to develop tourism to gain economic benefit from the conservation. Accordingly, the project allowed some local leaders an opportunity to learn from the Seribu Islands, an extraordinary location of marine tourism. This paper describes their learning process and immediate responses expressing perspectives on how their tourism should be developed. After being introduced to some key features of Seribu Island, local concerns, problem solutions, and discussed a concept of sustainable tourism in a small workshop, they concluded the tourism objects in their home are much better. They also were confident with the importance of conservation and aware of some negative impacts of tourism. The outcomes of this visit should be carefully noted by anyone who wants to involve in the tourism development that uses Toli-toli’s nature and culture as objects.
Keperluan data dan informasi tentang habitat bentik sangat diperlukan untuk menjaga dan melestarikan ekosistem yang ada di perairan. Rusaknya habitat bentik dapat terjadi karena adanya aktifitas antropogenik dan bencana alam yang akan berimbas pada biota dan ekosistem yang ada disekitarnya, oleh karena itu untuk mengetahui dan memantau kondisi perairan dan habitat perairan dangkal perlu dilakukannya pemetaan. Penelitian ini bertujuan untuk menganalisis perubahan habitat dasar perairan laut dangkal di Karang Lebar, Kepulauan Seribu. Penelitian ini memanfaatkan citra multispektral resolusi tinggi QuickBird 2008 dan WordView-2 2018 untuk mendeteksi perubahan geospasial habitat bentik. Klasifikasi citra multispektral dilakukan dengan penerapan algoritma SVM (Support Vector Machine) dan transformasi DII (Depth Invariant Index) pada kedua citra yang digunakan. Jumlah kelas habitat bentik yang dihasilkan adalah sebanyak lima kelas yaitu terumbu karang, karang mati, padang lamun, pasir, dan rubble. Hasil analisis menunjukkan akurasi keseluruhan 58,18% dan 70,9% pada penerapan klasifikasi dengan input band multispektral masing-masing untuk citra 2008 dan 2018, serta 60% dan 80% pada hasil transformasi DII masing masing untuk citra 2008 dan 2018. Perubahan kelas rubble di tahun 2008 menjadi kelas pasir tahun 2018 merupakan yang paling besar luasannya dibandingkan dengan perubahan pada kelas lainnya, yaitu 81,46 ha.
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