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Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP

Bibliographic Data

ID22033784
AuthorsChristian Ricardo Calle Yunis (0000-0002-6879-0155, National University Toribio Rodríguez de Mendoza), Rolando Salas López (0000-0003-2184-6761, National University Toribio Rodríguez de Mendoza), Segundo Manuel Oliva Cruz (National University Toribio Rodríguez de Mendoza), Elgar Barboza (0000-0002-9628-8138, National University Toribio Rodríguez de Mendoza), Jhonsy O Silva-López (0000-0002-2618-7526, National University Toribio Rodríguez de Mendoza), Daniel Iliquín Trigoso (0000-0002-2800-7648, National University Toribio Rodríguez de Mendoza), Niltón B Rojas Briceño (0000-0002-5352-6140, National University Toribio Rodríguez de Mendoza, corresponding author)
Year2020
Volume9
Issue1
Pages28
Publication date2020-01-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9010028
OpenAlexW2998658835
LanguageEN
Citations received6
References cited25

Peruvian aquaculture, specifically trout production, has had significant growth over the past ten years. However, the establishment and expansion of small-scale aquaculture have been carried out without considering the suitability of the land. In Peru, such land suitability studies have yet to be reported. Therefore, a methodological framework is presented for inland aquaculture, which may be replicated, with the necessary complements, for the entire Fisheries and Aquaculture sector in Peru. This work modeled the suitability of land for sustainable rainbow trout aquaculture in the Molinopampa district (Peru). Fifteen key criteria (socioeconomic, environmental and physicochemical) were identified for the proper development of fish activity. These were mapped using Remote Sensing (RS) and Geographic Information Systems (GIS). The Analytical Hierarchy Process (AHP) was applied to build peer-to-peer comparison matrices and weight the importance of the criteria. The weighted overlay of maps (criteria) made it possible to determine that 4.26%, 23.03% and 69.73% of the territory is “very suitable”, “moderately suitable” and “marginally suitable”, respectively, for the development of aquaculture. The implementation of this methodology will contribute to more effective investment planning and efforts, both by the government and by private initiative

Analytic hierarchy process · Aquaculture · Biology · Business · Cartography · Environmental planning · Environmental resource management · Fish · Fishery · Geographic information system · Geography · Operations research · Rainbow trout · Sustainable development · Trout · Aquaculture Nutrition and Growth · Engineering · Environmental Science · Marine Bivalve and Aquaculture Studies · Water Quality Monitoring Technologies · Ecology

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Unique citing works6
Citations per year1
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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