Geotechnology applied to land classification in areas of the Atlantic Forest in southeastern Brazil

Authors

DOI:

https://doi.org/10.33448/rsd-v10i6.15927

Keywords:

Land capability; soil atributes; Atlantic Forest.

Abstract

The objective of this study was to classify the lands of a micro-watershed located in the Atlantic forest biome, in a region of rough relief, in the use capacity system using geotechnology resources and indicate uses for the lands according to their suitability. The theoretical basis of the Manual for Utilitarian Survey and Classification of Land in the Use Capacity System with adaptations for areas of rough relief was adopted. The study was carried out from the survey of topographic information to construct the altimetric map of the watershed, followed by the survey of the physical environment, especially water erosion, description of soil profiles and collection of samples. The parameters effective depth, texture, permeability, slope, erosion, fertility, and land use were evaluated. Based on the pedological data and on the use of applied geotechnology, the soil map was created, and the lands of the watershed were classified and mapped in the use capacity system. After interpretation of the survey products, it was verified that in rough relief, slope is the predominant factor to determine the classes of land use, as it outweighs the other parameters evaluated. Land classification land with the use capacity system promotes optimization in the use of areas with agricultural areas and preservation of those destined for conservation.

References

Bertoni, J., & Lombardi Neto, F. (2012). Conservação do solo. (8ª ed.): Ícone, 355 p.

Bertol, I., Luciano, R. V., Bertol, C., & Bagio, B. (2017). Nutrient and Organic Carbon Losses, Enrichment Rate, and Cost of Water Erosion. Revista Brasileira de Ciência do Solo, 41; e0160150. 10.1590/18069657rbcs20160150

Brasil. LEI nº 12.651, de 25 de Maio de 2012. Novo Código Florestal, 2012. http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2012/lei/l12651.htm>.

Dent, D., & Young, A. (1995). Soil survey and land evaluation: E. FN SPON, 284p.

Freire, L. R., Balieiro, F. C., Zonta, E., Anjos, L. H. C., Pereira, M. G., Lima, E., Guerra, J. G. M., Ferreira, M. B. C., Leal, M. A. A., Campos, D. V. B, & Polidoro, J. C. (Org.) (2013). Manual de calagem e adubação do Estado do Rio de Janeiro. (1a ed.): Embrapa, 2013. 430p.

Florinsky, I. V., Eilers, R., Manning, G., & Fuller L. (2202). Prediction of soil properties by digital terrain modelling. Environmental Modelling and Software, 17(3):295-311. 10.1016/S1364-8152(01)00067-6

Garcez, L. N., & Alvarez, G. A. (1988). Hidrologia. (2ª ed.) revisada e atualizada: Edgard Blücher, 291p.

Gardner, D. R. (1988). The national cooperative soil survey of the United States. Washington, D.C: USDA/NRCS. (Historical notes, 7), 270p.

INMET – Instituto Nacional de Meteorologia. http://www.inmet.gov.br/portal/.

Klingebiel, A. A., & Montgomry, P.H. (1961). Land-capability classification. Washington: Soil Conservation Service/U.S. Gov. Print Office. (Handbook, 210). 21p.

Lepsch, I., Espíndola, C. R., Vischi Filho, O. J., & Siqueira, D. S. (2015). Manual para levantamento utilitário e classificação de terras no sistemas de capacidade de uso. Viçosa, MG:Sociedade Brasileira de Ciência do Solo. 170p.

Mcbratney, A. B., Santos, M. L. M., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117 (1-2): 3-52. 10.1016/S0016-7061(03)00223-4

Norton, E. A. (1939). Soil conservation survey handbook. Washington, D.C: USDA/Soil Conservation Service: (Miscellaneous publication, 352). 39p.

Pedron, F. A., Poelking, E. L., Dalmolin, R. S. D., Azevedo, A. C., & Klamt, E. (2006). A aptidão de uso da terra como base para o planejamento dos recursos naturais no município de São João do Polêsine, RS. Ciência Rural, 36(1):105-112. 10.1590/S0103-84782006000100016

Poelking, E. L., Dalmolin, R. S. D., Pedron, F. A., & Fink, J. R. (2015). Sistema de informação geográfica aplicado ao levantamento de solos e aptidão agrícola das terras como subsídios para o planejamento ambiental do município de Itaara, RS. Revista Árvore, 39(2): 215-223. 10.1590/0100-67622015000200001

Ribeiro, C. S., Soares, V. P., Oliveira, A. M. S., & Gleriani, J. M. (2005). O desafio da delimitação de áreas de preservação permanente. Revista Árvore, 29(2): 203-212. 10.1590/S0100-67622005000200004

Santos, H. G., Tito-Jacomine, P. K., Anjos, L. H. C., Oliveira, V. A., Lumbreras, J. F., Coelho, M. R., Almeida, J. A., Araujo Filho, J. C., Oliveira, J. B., & Cunha, T. J. F. (2018). Sistema Brasileiro de Classificação de Solos. (5ª edição) revista e ampliada. Brasília: Embrapa. 356p.

Santos, R. D., Lemos, R. C., Santos, H. G., Ker, J. C., & Anjos, L. H. C. (2015). Manual de descrição e coleta de solo no campo. (7a ed.) SBCS/Embrapa-CPS. Viçosa (MG). 100p.

Scull, P., Franklin, J., & Chadwick, O.A. The application of classification tree analysis to soil type prediction in a desert landscape. Ecological Modelling, 181(1):1-15, 2005. 10.1016/j.ecolmodel.2004.06.036

Teixeira, P. C., Donagema, G. K., Fontana, A., & Teixeira, W. G. (2017). Manual de métodos de análise de solo. (3ª edição) revisada e ampliada – Brasília, DF: Embrapa. 573p.

Valera, C. A., Pissarra, T. C. T., Martins Filho, M. V., Valle Junior, R. F., Sanches Fernandes, L. F., & Pacheco, F. A. L. (2017). A legal framework with scientific basis for applying the ‘polluter pays principle’ to soil conservation in rural watersheds in Brazil. Land Use Policy, 66:61-71, 2017. 10.1016/j.landusepol.2017.04.036

Zhang, G., Feng, L., & Song, X. (2017). Recent progress and future prospect of digital soil mapping: A review. Journal of Integrative Agriculture, 16 (2): 2871-2885. 10.1016/S2095-3119(17)61762-3

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Published

30/05/2021

How to Cite

SCHULTZ, N. .; MOREIRA, K. F. A. .; CRUZ, I. B. P. da .; GARCIA, P. A. .; SOUZA FILHO, L. C. de; PINHEIRO, H. S. K. .; SANTOS, O. A. Q. dos .; PEREIRA, M. G. Geotechnology applied to land classification in areas of the Atlantic Forest in southeastern Brazil. Research, Society and Development, [S. l.], v. 10, n. 6, p. e28510615927, 2021. DOI: 10.33448/rsd-v10i6.15927. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/15927. Acesso em: 18 jun. 2021.

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Section

Agrarian and Biological Sciences