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Ciência e Agrotecnologia

versão impressa ISSN 1413-7054versão On-line ISSN 1981-1829

Resumo

TAVEIRA, Luís Renato Silva; MENEZES, Michele Duarte de; TEIXEIRA, Anita Fernanda dos Santos  e  CURI, Nilton. Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management. Ciênc. agrotec. [online]. 2018, vol.42, n.6, pp.631-642. ISSN 1413-7054.  https://doi.org/10.1590/1413-70542018426026518.

Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary because different attributes may affect it. For these adaptations, the Minas Gerais soil map was used as the starting point for this study. The criteria to define the land use capability were adapted to management levels with small (level A) and medium (level B) application of capital and modern technology (level C). The aim of the present study was to map land use capability for Minas Gerais state, Brazil, following the criteria adapted to different levels of management and measure the accuracy of the resulting maps. The system of land use capability is widely used by INCRA in evaluations of rural properties. Erosion criterion was replaced by erodibility. The information was handled in a geographic information system. For validation, soil profiles from regional pedological surveys were sampled, classified, and its land use capability was compared to the land use capability shown on the map according to the different management levels. In spite of the small scale of the soil map, the maps of land use capability exhibited adequate accuracy: 73% (management level A), 71% (B), and 50% (C). Therefore, it can be applied in initial phases of regional planning studies, in which the level of details required is reduced (for example, in ecological-economic zoning). More detailed analyses still depend on detailed field surveys, as advocated by the system of land use capability.

Palavras-chave : Soil map; land use intensity; mapping accuracy; geographic information system.

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