Characterizing the suitability of the soils of the province of Catamarca through Geographic Information Systems

  • Florencia Cecilia Trabichet Universidad Nacional de Luján CONICET

Keywords:

Carya illinoiniensis, land suitability analysis, Geographic Information Systems

Abstract

Land suitability analysis based on Geographic Information Systems (GIS) is one of the most widely used applications for land planning. In this type of study, GIS and geospatial statistical tools are used to assess land units and to show the results in the form of aptitude maps. The present work aims at characterizing the suitability of the soils of the province of Catamarca for pecan nuts production based on 6 edaphic variables using GIS. The variables taken into account were rockiness, salinity, waterlogging risk, depth, texture and drainage. Soil Map of the Argentine Republic in 1: 500.000 scale published by the National Institute of Agricultural Technology was used as source. A classification of the aptitude of the soil cartographic units was made according to the crop requirements applying the methodology proposed by FAO. Omega score was applied for standardization of variables, and the spatial distribution of soil suitability was obtained by spatial classification score. The methodology applied allowed us to obtain the aptitude map based on the selected variables, resulting in a total of 60.662 km2 suitable for the production of pecan nuts, which represents 59.8% of the total surface of the province.

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Author Biography

Florencia Cecilia Trabichet, Universidad Nacional de Luján CONICET

Docente del Departamento de Tecnología de la Universidad Nacional de Luján con cargo Jefe de Trabajos Prácticos.

Becaria doctoral de CONICET con lugar de trabajo en el Departamento de Ciencias Sociales de la Universidad Nacional de Luján.

References

Akıncı, H., Özalp, A. Y., & Turgut, B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97, 71–82. https://doi.org/10.1016/j.compag.2013.07.006

Bunruamkaew, K., & Murayam, Y. (2011). Site Suitability Evaluation for Ecotourism Using GIS & AHP: A Case Study of Surat Thani Province, Thailand. Procedia - Social and Behavioral Sciences, 21, 269–278. https://doi.org/10.1016/j.sbspro.2011.07.024

Buzai, G. (2014). Metodología de evaluación multicriterio en el análisis espacial de la salud. Geografía de La Salud Sin Fronteras Desde Iberoamerica, (Diciembre 2014).

Buzai, G. D. (2017). Evaluacion Multicriterio con Sistemas de Informacion Geográfica. En Moreno Jimenez, A.; Buzai, G.; Fuernzalida, M. (Eds). Sistemas de Informacion Geográfica. Aplicaciones en diagnósticos territoriales y decisiones geoambientales. Madrid, Ra-Ma, pp 385-393.

Buzai, Gustavo D., & Baxendale, C. A. (2011). Análisis socioespacial con sistemas de informacion geográfica. Perspectiva científica. Temáticas de base raster. (1st ed.; L. Editorial, Ed.). Buenos Aires.

Buzai, G. D. & Principi, N. (2017). Identificacion de areas de potencial conflicto entre usos del suelo en la cuenca del Rio Luján (Argentina). Revista Geográfica de América Central. 59, 91-124.

Cabrera, A. L. (1971). Fitogeografía de la república Argentina. Boletín de La Sociedad Argentina de Botánica, 14, 1–42.

El Baroudy, A. A. (2016). Mapping and evaluating land suitability using a GIS-based model. CATENA, 140, 96–104. https://doi.org/10.1016/j.catena.2015.12.010

FAO. (1976). A framework for land evaluation. Soils Bulletin 32. Roma.

Gomez, L. A., & Cruzate, G. A. (2007). APTITUD DE LOS SUELOS ARGENTINOS PARA EL PECAN ( Carya illinoinensis ). In Produccion de Pecán en Argentina (pp. 1–9).

Herrera, E. (1999). Selecting soil and Site for a Pecan Orchard. Cooperative Extension Service. College of Agriculture and Home Economics (New & M. S. University., Eds.). New Mexico State University.

IGN. (2018). Provincias. Retrieved April 15, 2019, from http://ign.gob.ar/NuestrasActividades/InformacionGeoespacial/CapasSIG

Lanzelotti, S., & Buzai, G. (2015). Modelos de aptitud espacial para la agricultura prehispánica y actual en el valle de Santa María , Catamarca. Estudios Socioterritoriales. Revista de Geografia, 18, 139–150.

Li, B., Zhang, F., Zhang, L. W., Huang, J. F., Jin, Z. F., & Gupta, D. K. (2012). Comprehensive Suitability Evaluation of Tea Crops Using GIS and a Modified Land Ecological Suitability Evaluation Model. Pedosphere, 22(1), 122–130. https://doi.org/10.1016/S1002-0160(11)60198-7

Malczewski, J. (2006). Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis. International Journal of Applied Earth Observation and Geoinformation, 8(4), 270–277. https://doi.org/10.1016/j.jag.2006.01.003

Mendas, A., & Delali, A. (2012). Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture, 83, 117–126. https://doi.org/10.1016/j.compag.2012.02.003

Morales Poclava, C., Sobral, R., Nakama, V., Volante, J., & Bianchi, A. (2015). Evaluacion de tierras mediante metodos parametricos.

Nuñez Aguilar, F. A., & Alvarez de Toledo, J. M. (2004). El Riego En La Provincia De Catamarca.

Panigatti, L. (2010). Argentina, 200 años, 200 suelos. Retrieved from https://inta.gob.ar/sites/default/files/script-tmp-inta-200-suelos.pdf

PROSAP-UCAR. (2015).Plan de mejora competitiva Cluster de la nuez pecán. s/D.

Romano, G., Dal Sasso, P., Trisorio Liuzzi, G., & Gentile, F. (2015). Multi-criteria decision analysis for land suitability mapping in a rural area of Southern Italy. Land Use Policy, 48, 131–143.https://doi.org/10.1016/j.landusepol.2015.05.013

SAGyP-INTA. (1990). Atlas de suelos de la Republica Argentina (1a ed.). Buenos Aires: SAGPyA-INTA.

USDA. (2014). Claves para la Taxonomía de Suelos Servicio de Conservación de Recursos Naturales. Retrieved from https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_051546.pdf

Walke, N., Obi Reddy, G. P., Maji, A. K., & Thayalan, S. (2012). GIS-based multicriteria overlay analysis in soil-suitability evaluation for cotton (Gossypium spp.): A case study in the black soil region of Central India. Computers & Geosciences, 41, 108–118. https://doi.org/10.1016/j.cageo.2011.08.020

Zabihi, H., Ahmad, A., Vogeler, I., Said, M. N., Golmohammadi, M., Golein, B., & Nilashi, M. (2015). Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Computers and Electronics in Agriculture, 117, 114–126. https://doi.org/10.1016/j.compag.2015.07.014

Zhang, R., Peng, F., & Li, Y. (2015). Pecan production in China. Scientia Horticulturae, 197, 719–727. https://doi.org/10.1016/j.scienta.2015.10.035

Zolekar, R. B., & Bhagat, V. S. (2015). Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321. https://doi.org/10.1016/j.compag.2015.09.016

Published

2020-10-01

How to Cite

Trabichet, F. C. (2020). Characterizing the suitability of the soils of the province of Catamarca through Geographic Information Systems. Huellas, 24(2), 47–63. Retrieved from https://cerac.unlpam.edu.ar/ojs/index.php/huellas/article/view/5042

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