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Soil Mapping Based on Landscape Classification in the Semiarid Chaco, Argentina

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Geopedology

Abstract

The semiarid Chaco is an ecosystem shared by Argentina, Paraguay, Bolivia, and Brazil where land use changes from forest to commercial agriculture and social conflicts have been intensive during the last decade. These changes and the lack of reliable soil information at suitable scales are threatening the sustainable development of the region. In Santiago del Estero province, Argentina, a soil survey was carried out with the objective of reducing the knowledge gap. Due to the large area, geomorphology diversity, limited funding, and high demand of information, a geopedologic survey using remote sensing and GIS was considered an appropriate approach. Map units were determined based on the integration of geoforms and soils, knowledge of landscape and soil forming factors, field observations, and laboratory determinations. Three main landscape units were recognized: (1) a fluvio-eolian Chaco plain including a megafan with Haplustolls and Torripsamments, (2) the Rio Dulce valley with Torripsamments, and (3) the alluvial migratory plain of Río Salado with Torripsamments, Ustifluvents, and Natraqualfs. The used approach helped speed up the soil information collection at appropriate scale for land use planning.

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Acknowledgement

This study was funded by the National Institute for Agricultural Technology (INTA), Argentina. The support of Sanchez de la Orden M. from the Universidad de Córdoba, Spain is appreciated. We express our gratitude to our colleagues Lorenz G, Boetto M, Martin A, and Barbeito O for sharing information and knowledge about this region and to López J and Barraza G for their contribution to computer aspects.

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Correspondence to C. Angueira .

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Angueira, C., Cruzate, G., Zamora, E.M., Olmedo, G.F., Sayago, J.M., Castillejo González, I. (2016). Soil Mapping Based on Landscape Classification in the Semiarid Chaco, Argentina. In: Zinck, J.A., Metternicht, G., Bocco, G., Del Valle, H.F. (eds) Geopedology. Springer, Cham. https://doi.org/10.1007/978-3-319-19159-1_17

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