Título:	Large-scale modeling of soil erosion with rusle for conservationist planning of degraded cultivated brazilian pastures.
Autor:	GALDINO, S. SANO, E. E. ANDRADE, R. G. GREGO, C. R. NOGUEIRA, S. F. BRAGANTINI, C. FLOSI, A. H. G.
Afiliación:	SERGIO GALDINO, CPAP; EDSON EYJI SANO, CPAC; RICARDO GUIMARAES ANDRADE, CNPM; CELIA REGINA GREGO, CNPM; SANDRA FURLAN NOGUEIRA, CNPM; CLAUDIO BRAGANTINI, CNPM; ANA H. G. FLOSI, PUC-CAMPINAS.
Año:	2015
Referencia:	Land Degradation & Development, v. 26, n. 6, p. 41-54, 2015.
Descripción:	Pasture degradation is one of the major environmental and economic problems of Brazilian livestock production. Based on the estimates of soil loss in 140,297 km2 pasturelands of Goiás State and the Federal District, the effects of land use and management and conservation practices on soil erosion by water were evaluated. Soil loss was estimated with the empirical revised universal soil loss equation model under four scenarios of land use and management of pastures and the implementation of terraces. The effects of converting hilly areas into permanently preserved areas were also evaluated. Well-managed pastures planted in terraces and highly sloped areas with native vegetation featured a reduction of 709% in the rate of soil erosion by water in comparison with poorly managed pastures without soil conservation practices. The environmental consequences of pasture degradation become particularly important when they are associated with land use in the Amazon and Cerrado biomes because farmers in these regions are forced to open new natural areas. In addition, the high indices of bare soil in degraded pastures contribute significantly to sediment deposition in rivers and dams. The modeling of soil loss is demonstrated to be an important tool for land use planning and supporting public policies focused on the sustainable use of natural resources. The results of these simulations demonstrate the importance of actions to recover degraded pastures, such as the Federal Government?s program known as ABC (Low Carbon Agriculture).
NAL Thesaurus:	Remote sensing
Palabras clave:	Geographic Information System RUSLE Soil loss USLE
DOI:	10.1002/ldr.2414
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPM)