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Open AccessArticle

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

Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) de la Universidad Nacional Toribio Rodríguez de Mendoza (UNTRM), Chachapoyas 01001, Peru
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ISPRS Int. J. Geo-Inf. 2020, 9(1), 28; https://doi.org/10.3390/ijgi9010028
Received: 4 December 2019 / Revised: 23 December 2019 / Accepted: 30 December 2019 / Published: 2 January 2020
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. View Full-Text
Keywords: Amazonas; analytical hierarchy process (AHP); fish farming; geographic information system (GIS); GIS modeling; multi-criteria evaluation (MCE); remote sensing (RS); sustainable development Amazonas; analytical hierarchy process (AHP); fish farming; geographic information system (GIS); GIS modeling; multi-criteria evaluation (MCE); remote sensing (RS); sustainable development
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Calle Yunis, C.R.; Salas López, R.; Cruz, S.M.O.; Barboza Castillo, E.; Silva López, J.O.; Iliquín Trigoso, D.; Briceño, N.B.R. Land Suitability for Sustainable Aquaculture of Rainbow Trout (Oncorhynchus mykiss) in Molinopampa (Peru) Based on RS, GIS, and AHP. ISPRS Int. J. Geo-Inf. 2020, 9, 28.

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