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| | | Review of the literature is an essential starting point for any endeavour in GIS, remote sensing, or mapping. Yet, reviews are often incomplete for lack of access to the material, and consequently projects experience durations that are longer and costs that are higher than need be because the accumulated knowledge has not been tapped and taken advantage of. This page sets out to mitigate that problem. It is a gateway to the literature that represents much of the accumulated global experience on using GIS, remote sensing and mapping to solve problems and issues in aquaculture and inland fisheries. Spatial issues addressed most frequently for aquaculture and inland fisheries are listed in two tables in issues section along with the number of literature records currently contained in GISFish databases. Four recent studies available for download in issues section provide background information on GISFish databases. | | | |
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| | | Title | Mariculture site selection based on numerical flow model and GIS for optimal sustainable mariculture development of coastal area | | Author | Windupranata, W. and Mayerle, R; | | Date | 2006 | | Content Language(s) | English | | Abstract / Description | The world’s population has been increasing more quickly than the total food fish supply. The statistic of
fisheries from FAO (Food and Agriculture Organization) presents the decrease in capture-fisheries was
luckily compensated by increase in aquaculture products. As the space limitation increase in inland
aquaculture, offshore aquaculture or mariculture had been introduced as an alternative of aquaculture by
utilization of coastal and offshore areas. This business have been moderately developed since the last twodecades,
since they not only provide healthy and appetising food, but also create essential employment
opportunities, thus favouring economic and social prosperity. This development has also increased
environmental concerns and questions about possible environmental impacts. Intensive fish farming
produces considerable amounts of nutrient waste in dissolved and particulate form into the environment
through feed wastage, fish excretion, faeces production and respiration. The environmental impact of
mariculture depends very much on species, culture method, stocking density, feed type, hydrography of the
site and husbandry practices. The effects can be significantly reduced by careful site selection, control stock
density, improved feed formulation and integrated culture (with macro-algae, filter-feeders and depositfeeders).
Therefore to have an appropriate site conditions for the species to be cultured, as well as being an
adequate site in an operational sense (suitability) and also to avoid the environmental damage
(sustainability), the site and species selection should be assessed before the mariculture activities begin.
In this paper, the development of decision support system (DSS) as a strategy for defining optimal fish
farm locations are described. The DSS for mariculture was applied for Seribu Islands area in Java Sea,
Indonesia and based on analysis of several parameters with specific criteria, which are divided into
physical, chemical, biological and socio-economic criteria. The data were taken from direct field
measurement sampling, results of numerical modelling and existing data from particular agencies. The
numerical modelling results were used to obtain spatial and temporal physical hydrodynamic parameters
(i.e. current velocities and water levels). The Delft3D modelling system (Delft Hydraulics, The
Netherlands) was employed for the numerical analysis of the hydrodynamic. The DSS was developed under
GIS application of ESRI® ArcGIS™ v8.3 using weighted overlay method. The weight of each parameter is
based on the rank of important for site selection. Due to lack of data and unimportant factor, some
parameters were excluded from the analysis. The results of DSS show about 35% of the area are in good
condition for mariculture, 30% in fair condition, 25% in poor condition, and only 10 % of the area are in
unacceptable condition for mariculture activities. The existing mariculture sites are 50% in good area, 30%
in fair area, 10% in poor area and there are about 10% of existing mariculture sites are recommended to be
relocated while they are located in the unacceptable area. | |
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| Download | | | Keywords |  AQUACULTURE | |
| Spatial Tool | GIS | | Country | INDONESIA | | Species Common Name | Not provided | | Species Scientific Name | Not provided | |
| Organism Division (FAO ISSCAAP) | Not specified | |
| Culture System | Not specified | |
| Water System | Not specified | |
| Main Environment | Marine | |
| Main Issue Addressed | Suitability of site and zoning | | Series Title | Abstracts Coast GIS 2006 | |
| Number of Pages | p. 140 | | | |
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