000 03423nab a2200301 i 4500
003 BR-BrBNA
005 20250325210629.0
008 250325b2020 bl.ar|pooa||| 00| 0 eng |
040 _aBR-BrBNA
_beng
072 _aP36
100 _aBispo, Diêgo Faustolo Alves
100 _aBatista, Pedro Velloso Gomes
100 _aGuimarães, Danielle Vieira
100 _aSilva, Marx Leandro Naves
100 _aCuri, Nilton
100 _aQuinton, John Norman
245 _aMonitoring land use impacts on sediment production: a case study of the pilot catchment from the Brazilian program of payment for environmental services
500 _aPublicação on-line; 37 ref.; 5 illus; 3 tables; Sumaries (En)
520 _a ABSTRACT: Through the lack or non-use of conservationist criteria for adequate land use and management, the scarcity of natural resources becomes ever more evident. This study aimed to analyze the origin of the sediments in the Posses catchment, municipality of Extrema, state of Minas Gerais, Brazil, throughout the fingerprinting technique and portable X-ray fluorescence. Samples from soils under agriculture, pasture, and roads; and from the subsoil of theses land uses were taken in a widespread and representative manner from the entire Posses catchment. Lag deposits and river bed sediment samples were collected downstream from the catchment outlet. A total of 45 geochemical elements were analyzed in the samples by a portable X-ray fluorescence device (pXRF). The outlier test, Kruskal-Wallis test, multivariate discriminant analysis, and a mixing model were used to estimate the contribution of each source in relation to the sediments that arrive at the mouth of the catchment. The elements selected as geochemical tracers were Sr, Al2O3, Ba, Rb, Ti, Fe, and Zn, which combined correctly discriminated 81 % of the sediment sources. The largest and smallest proportion of sediment from the Posses catchment outlet comes from rural roads and agriculture, respectively. The contribution of the subsoil was higher for lag deposits or lower for river bed sediments, than the pasture. There was a low degree of uncertainty (<8 %) for predictions made by the model employed. The types of use, selected as potential sediment sources in the Posses catchment, are adequately discriminated through the geochemical tracers quantified through the pXRF. The fingerprinting technique estimates that the contributions to outlet sediments are dominated by rural roads, following by subsoil or pasture (depending on the type of sediment evaluated) and by agriculture. The sediment sampling strategies used in this study provided similar results for the period studied. Our results showed the potential of the fingerprinting technique and the pXRF for use as tools by the program of Payment for Environmental Services in the monitoring of catchment areas. Keywords: fingerprinting, soil erosion, rural roads, ecosystem service.
650 _aBACIA HIDROGRÁFICA
650 _aEROSÃO DO SOLO
650 _aSEDIMENTO
650 _aANÁLISE DO SOLO
773 0 _0808
_9345421
_dViçosa-MG Sociedade Brasileira de Ciência do Solo 1977
_o2024-5955
_tRevista Brasileira de Ciência do Solo (Brazil)
_x0100-0683
_gv. 44 p. 1-15; (2020)
_wBR2024004998
856 _uhttps://www.scielo.br/j/rbcs/a/zMNsXy4v8rF8BRNWFtyx3TQ/?format=pdf&lang=en
942 _cANA
999 _c330657
_d330657