Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/18560
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Spatial modelling for freshwater cage location in the Presa Adolfo Mateos Lopez (El Infiernillo), Michoacán, México
Author(s): Ross, Lindsay
Falconer, Lynne
Campos-Mendoza, Antonio
Martinez-Palacios, Carlos A
Contact Email: l.g.ross@stir.ac.uk
Keywords: GIS
modelling
cage location
El Infiernillo
tilapia
Issue Date: May-2011
Date Deposited: 5-Feb-2014
Citation: Ross L, Falconer L, Campos-Mendoza A & Martinez-Palacios CA (2011) Spatial modelling for freshwater cage location in the Presa Adolfo Mateos Lopez (El Infiernillo), Michoacán, México. Aquaculture Research, 42 (6), pp. 797-807. https://doi.org/10.1111/j.1365-2109.2010.02689.x
Abstract: The tilapia fishery in a large Mexican reservoir has declined in recent years, promoting efforts to enhance stock quality in conjunction with feasibility studies for cage aquaculture. Spatial models to optimize cage location have been developed, incorporating aspects of topography, climate, hydrography, water quality and quantity, land use, infrastructure and socioeconomics. Three cage sizes were modelled, 5, 10 and 15 m diameter, for both high- and low-water levels. When full the, reservoir has a total area of 312 km2 but a reduction in water level of 13 m was recorded between wet and dry seasons, significantly reducing the surface area available for cages to 265 km2. The results indicate a significant difference in the availability of sites between seasons. For the small, medium and large cages at high water level, the areas classified as highly suitable or suitable were 151, 184 and 146 km2, respectively, while at low-water level these areas reduced to 113, 88 and 62 km2. Modelling this change in water level and the subsequent loss of available sites provide qualitative and quantitative guidelines for the development of aquaculture sites, their seasonal management and future monitoring, outcomes that can only be achieved using Geographical Information Systems and associated technologies.
DOI Link: 10.1111/j.1365-2109.2010.02689.x
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