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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 | Spatial modelling for freshwater cage location in the Presa Adolfo Lopez Mateos (El Infiernillo), Michoacán, Mexico | | Author | Lynne Falconer, Antonio Campos Mendoza, Carlos A Martinez Palacios and Lindsay Ross | | Date | 12 December 2008 | | Content Language(s) | English | | Abstract / Description | Tilapia (principally Oreochromis aureus) stocked into the large Mexican reservoir, the Presa Adolfo Lopez Mateos (El Infiernillo) in the 1960’s, have formed the basis of a substantial fishery for decades. Recently, stock quality has declined as well as catch level, the latter partly due to overpopulation with an invasive South American catfish, Pterygoplichthys multiradiatus. Efforts have begun to enhance stock quality in conjunction with feasibility studies for controlled on-growing using cage aquaculture. Geographical Information Systems have been used to develop spatial models to optimise cage location. The models incorporate a wide range of spatial factors including aspects of topography, climate, water quality and quantity, land use, infrastructure and socioeconomics. Models have been developed for the three cage sizes most likely to be adopted: small (5m diameter), medium (10m diameter) and large (15m diameter) in three different scenarios: low water level, high water level and a worst case scenario. The results indicate a significant difference in the availability of sites between seasons, an important factor to take into account when deciding on the location and management of the cages. Although the lake has a total area of 311.9km2, between the wet season of November 2007 and the dry season of April 2008 a drop in water level of 13m was recorded representing a significant reduction in area available for cages. For the small, medium and large cages at high water level the areas classified as highly suitable or suitable were 150km2, 184.4km2 and 146.4km2, respectively. However, for the small, medium and large cages at low water level the areas classified as highly suitable or suitable were 113 km2, 88.6 km2 and 61.6 km2. Modelling this change in water level and the subsequent loss of available sites both qualitatively and quantitatively provides essential guidelines for development of new cage aquaculture sites, their seasonal management and future monitoring. Such models can only be achieved using GIS and associated technologies. Abstract presented at the Fourth International Symposium on GIS/Spatial Analysis in Fishery and Aquatic Sciences in Rio de Janeiro, Brazil, from 25–29 August 2008. | | Publisher | Fishery-Aquatic GIS Research Group | | Publication Location | Japan | | Download | | | Keywords |  GIS | |
| Spatial Tool | GIS | | Country | MEXICO | | Species Common Name | | | Species Scientific Name | | |
| Organism Division (FAO ISSCAAP) | Freshwater fishes | |
| Culture System | Cages | |
| Water System | Not specified | |
| Main Environment | Inland | |
| Main Issue Addressed | Suitability of site and zoning | |
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63 Topics - 1639 Knowledge Objects - 323 Members - 6 Editors
freeMem: 155,248,200 totMem: 479,789,056 reqNum: 410338 openSessions: 1 generationTime: 2012/02/16 02:04:37
