Likewise, GIS tools can highlight key constraints to the development of aquaculture in less-suited areas, enabling planners to determine and prioritize required interventions. Typically, GIS modeling is used in the scoping phase of a new project to determine where efforts to develop aquaculture should be concentrated.įor example, WorldFish has used this approach in Bangladesh, Sierra Leone, Malawi and Cameroon to realize the potential of aquaculture, which can improve food and nutrition security for the rural poor. GIS technology, which enables Pokémon Go users to catch fish-like pokémon in ponds and lakes, is helping identify the best sites for aquacultureĪ comprehensive tool to support decision making The project, funded by FAO through RFLP and CTSP, also helped the government to setup a GIS database to monitor implementation of the strategy.įurther, staff from the Ministry of Agriculture and Fisheries were trained to collect GPS waypoints and geotag photos, helping to build staff skills and enable the sustainable tracking of aquaculture development projects. This was the approach followed by WorldFish in Timor-Leste to create the country’s National Aquaculture Development Strategy (2012-2030), which highlights the areas suitable for aquaculture development. This involves project staff visiting areas to confirm the physical site is indeed suitable for fish farming, and to check if households are interested in aquaculture. Therefore, all suitability models produced in developing countries must be validated. This is thanks to users of Ingress, the predecessor to Pok é mon Go launched in 2011, who helped create the data pool that determines where Pokéstops and gyms appear.īut for developing countries, where government bodies often lack resources, budget and human capacity in managing databases, reliable geospatial data is not always available. The success of Pok é mon Go stems from the high accuracy of the maps featured in the game. Like all GIS maps and models, it’s the input data quality that influences the output quality. Weighted individual maps are combined to produce a single suitability map. For example, water supply is a greater consideration than the location of nearby lakes. These include water availability, terrain conditions, the availability of inputs (seed and feed), access to markets and demand for fish.įor each factor, an individual indicator map is created using data from government records, NGOs and field visits, and weighted according to its relative importance. This will require an increase in the productivity of existing fish farms, and sustainable development of the sector including construction of new ponds.Ī range of biophysical and socioeconomic factors influence the suitability of a site for aquaculture. With the global population projected to reach 9.6 billion people by 2050, aquaculture production will need to almost double from 2014’s level – from 73.8 million tons per year to 140 million tons per year – in order to satisfy fish demand in 2050 ( FAO 2016). Mapping the best sites for fish farms to meet global demand Whereas a water source might indicate the likely presence of a Squirtle in the popular game, for WorldFish scientists that data together with other factors could influence a recommendation for siting a fish pond. It’s technology that WorldFish scientists have been using for some time to identify appropriate sites for aquaculture in developing countries. The augmented reality game Pok é mon Go uses geographic information system (GIS) tools, backed by huge sets of geology, vegetation and hydrology data, to enable users to catch virtual Pokémon creatures in appropriate real-life locations. Recommendation domains for pond aquaculture (brief).Recommendation domains for pond aquaculture (booklet).
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