Madduppa HH, Agus SB, Farhan AR, Suhendra D, Subhan B. 2012. Fish biodiversity in coral reefs and lagoon at the Maratua Island, East Kalimantan. Biodiversitas 13: 145-150. Fishes are one of the most important biotic components in the aquatic environment. They are filling different habitats, including coral reef and lagoon. This study aims to (i) assess biodiversity in coral reef and lagoon in Maratua Island, East Kalimantan, and (ii) compare the fish community indices (Shannon-Wiener diversity, Evenness, and Dominance) between the coral reef and lagoon. A total of 159 fish species of belonging to 30 families were observed during five visual census of the study period. The number of species on coral reefs is higher (121 species) than in the lagoons (47 species). Relative abundance (%) of each species also varied and did not form a specific pattern. However, a clear cluster between the coral reef and lagoon habitats from fish relative abundance based on multivariate analysis and dendogram Bray-Curtis Similarity was revealed. The Evenness index value (E) ranged from 0.814 to 0.874, the dominance index (C) ranged from 0.023 to 0.184, and the Shannon-Wiener diversity index (ln base, H') ranged from 1.890 to 4.133. Fish biodiversity in coral reefs was higher (H'= 3.290±0.301) than in the lagoon (H' = 2.495±0.578).
<p>Coastal and small islands are faced with various significant challenges. The trend shows that the region suffered largely from habitat destruction, changes on natural processes of ecosystems and<br />pollution. Coastal and small islands regions became increasingly complex as conflicts of interest occur, both within the community and at the government level. Thus, activities to be placed within this region should consider the compatibility between needs and the region’s ability in providing resources. This study aims to develop a management strategy for unpopulated islands in utilization of natural resources. The research was conducted through descriptive evaluative method, using spatial analysis to obtain suitability between the waters and the carrying capacity of the area using<br />ArcGIS 10.3. On the other hand, management strategies were formulated using Analytic Hierarchy Process (AHP) model. The ecological potentials of Nusa Manu and Nusa Leun Islands covers diving, snorkeling tours, mangrove tracking and beach tourism, grouper fish aquaculture within floating net<br />cages and fishing grounds. The potentials are suitable and can be utilized for various activities with priority on conservation-based marine ecotourism. This management strategy sides with the people, opens employment opportunities and able to encourage economic growth while maintaining the sustainability aspects of natural resources.</p>
Remote sensing technology has been developed for monitoring and identification of coastal environment and resources, such as seagrasses. In Indonesia, particularly seagrass mapping spectrometer utilizing spectral library has not been done. This study aimed to determine the spectral signature based in situ measurement and image analysis, analyze the implementation of the algorithm Spectral Angle Mapper (SAM) and test accuracy in mapping seagrass to species level based on spectral libraries. Research conducted in seagrass Tunda Island, Banten. Satellite imagery used is WorldView-2 and the seagrass spectral reflectance was measured using a spectrometer USB4000. SAM classification algorithm utilizing spectral libraries and classify objects in a single pixel can be homogeneous. Classification results in the form of class Enhalus acoroides, Cymodocea rotundata, Thalassia hemprichii, and Halophila ovalis. The resulting accuracy of 35.6%. The area of each class is 0.8 hectares for the class Cymodocea rotundata, 2.79 hectares for Enhalus acoroides, class Thalassia hemprichii 3.7 hectares, and 3.5 hectares for Halophila ovalis. Classification of seagrass to species level yet produce good accuracy. Seagrass area with a variety of species and number of channels on a multispectral satellite image is assumed to be the cause of the low value of accuracy.
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