Relative reduction in annual soil loss in micro watersheds due to the relief and forest cover

Mingoti, Rafael; Vettorazzi, Carlos Alberto

doi:10.1590/s0100-69162011000600017

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…According to the average value, the most important factor for the decision-making process was proximity to forest cover, a trend followed by two experts (Figure 3). Vegetation cover promotes a reduction in soil erosion, excessive nutrient runoff, and an increase of pollutant retention and soil infiltration (Mingoti & Vettorazzi, 2011;Tanaka et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

Multicriteria Evaluation for Protected Area Definition Aiming at Water Quality Improvement

et al. 2018

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This study aimed to define potential areas for forest conservation to improve water quality, using Multicriteria Evaluation (MCE); and to verify differences between results from a multidisciplinary group of experts. We worked with the Pirapora River Watershed, Piedade/SP. The participatory method was used to identify the criteria and their relative importance. Priority maps representing expert opinion were elaborated, as well as a map with average weight values. We compared the differences between the criteria weight values and the maps of priority areas. The maps proposed distinct spatialization of priority areas, supporting the understanding of criteria that influence the decision-making process. The highest priority level was associated with areas near to springs, forest patches, and with the highest slope values. We concluded that the MCE is an efficient method to identify priority areas; however, the selection of an expert group is an essential step to generate representative analyses.

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Section: Resultsmentioning

confidence: 99%

Multicriteria Evaluation for Protected Area Definition Aiming at Water Quality Improvement

et al. 2018

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“…This way, the restored areas could have two structural functions in the landscape, the forest connectivity, and the water-quality improvement. Authors as Lima (2005), Lima and Zakia (2006), Mingoti and, Yang et al (2016) related the effects of riparian zone on the water quality, highlighting that the presence of forest can decrease the sediment production and its amount in the water; and it can also decrease the amounts of sulfates and nitrates.…”

Section: Weighted Linear Combination (Wlc) Methodsmentioning

confidence: 99%

Multicriteria Decision Analysis for Prioritizing Areas for Forest Restoration

Valente

Petean

Vettorazzi

2017

CERNE

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Urbanization process transforms original landscapes into an anthropic mosaic, causing impacts on hydrologic cycles and on landscape structure and functions. Aiming at the maintenance of the water resources and biodiversity, in an urbanized watershed, the objective of this study was the definition of priority areas for forest restoration. We used a Multicriteria Evaluation (MCE) method, following the steps: criteria definition, identification of the criteria importance, and criteria aggregation through Weighted Linear Combination (WLC). According to the experts, consulted in the context of the Participatory Technique, only two criteria represented the studied landscape: proximity to drainage network and proximity to forest patches. The first criterion was considered twice more important than the second, and through the pairwise comparison matrix, it was obtained respectively the criterion weights of 0.83 and 0.17. The priority map was obtained through the criteria aggregation, using WLC, that considered the criterion weights. The result was a priority map, indicating 5.06% of the study area with very-high priority for forest restoration; 5.22% with high priority; 5.76% with medium priority; 5,42% with low and; 78.53% with very-low priority. We can say that the framework predefined for the study proposed a scenario for priority areas that allowed driving the actions in order to obtain a landscape restoration, beginning through a forest corridor in the riparian zone. Thus, we concluded that the definition of priority areas for forest restoration is possible in an urbanized landscape, using the traditional WLC Multicriteria method. ANÁLISE MULTICRITERIAL PARA PRIORIZAÇÃO DE ÁREAS À RESTAURAÇÃO FLORESTALRESUMO: O processo de urbanização transforma paisagens originais em um mosaico antropizado, causando impactos no ciclo hidrológico, na estrutura e função destas paisagens. Visando à manutenção dos recursos hídricos e da biodiversidade, em uma bacia hidrográfica urbanizada, o objetivo deste estudo foi a definição de áreas prioritárias à restauração florestal. Utilizou-se um método de Avaliação Multicriterial (AMC), seguindo as etapas: definição de critérios, identificação da importância dos critérios e, agregação de critérios por meio do método da Combinação Linear Ponderada (CLP). De acordo com os especialistas consultados, no contexto da Técnica Participatória, apenas dois critérios representavam a paisagem estudada: o proximidade à rede de drenagem e o proximidade aos fragmentos florestais. O primeiro critério foi considerado duas vezes mais importante do que o segundo e, por meio da matriz de comparação pareada, foram obtidos seus pesos de critério, respectivamente, de 0,83 e de 0,17. Estes pesos foram considerados na agregação dos critérios, por meio da CLP. O resultado foi um mapa de priorização de áreas, o qual apontou 5,06% da área de estudo com prioridade muito alta para restauração florestal; 5,22% com alta prioridade; 5,76% com prioridade média; 5,42% com baixa e; 78,53% com prioridade muito baixa....

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“…Estos resultados pueden ser explicados si consideramos que las precipitaciones son mayores en Huangamarca, lo que permite un mayor índice de escorrentía; pero por sus características geomorfológicas de menor pendiente, colinas poco prominentes en el área superficial con cobertura vegetal, su coeficiente de escorrentía es menor. Las características geomorfológicas descritas, zona de menores pendientes; la presencia de la red hídrica y las infraestructuras viales existentes, configuran un paisaje de sierra favorable para la agricultura; es decir, la microcuenca Huangamarca por el relieve que presenta y la cobertura forestal, su territorio es menos vulnerable, como mencionan Mingoti & Vettorazzi (2011) el efecto de la cobertura forestal en la reducción de la pérdida de suelo por año, varía de acuerdo al promedio de la pendiente de la microcuenca; de toda forma, la cobertura vegetal en general protege la erosión del suelo.…”

Section: Materiales Y Métodosunclassified

Erosión Hídrica en La Cuenca Alta Del Río Moche

Fernández

Figueroa

2014

Ecol. apl.

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ResumenEl objetivo del trabajo fue estudiar la pérdida de suelo y la incidencia de las precipitaciones pluviales como factor en la erosión hídrica. Se cuantificaron la escorrentía superficial y la pérdida de suelo bajo condiciones de uso del suelo en las microcuencas de Huangamarca y Pollo de la cuenca alta del río Moche. Para este efecto, se determinaron los caudales de los ríos y se utilizó el registro de lluvias de un período de 24 años de la Estación Meteorológica del SENAMHI. Este dato permitió estimar el poder erosivo de las precipitaciones como factor determinante de la erosión en términos de degradación específica en t/ha/año mediante el método de Fournier, basado en la función fundamental del coeficiente p 2 /P, siendo p la precipitación del mes más lluvioso y P la precipitación total anual. Se registró pérdidas de suelo por erosión hídrica, en Huangamarca y Pollo, en el orden de 7.29 y 33.40 t/ha/año, respectivamente. Estas pérdidas por erosión son consideradas valores altos, comparados con el rango permisible por la FAO (0.4-1.8 t/ha/año), que afectan los agroecosistemas. Palabras clave: erosión hídrica, pérdida de suelo, cuenca. AbstractThe objective of this work was to study soil loss and incidence of pluvial precipitation as a factor in erosion. Surface runoff and soil loss under the terms of land use in the Huangamarca and Pollo watersheds of the river Moche were quantified. For this purpose, the rivers' discharge using rainfall records over a period of 24 years as registered by the SENAMHI weather station were determined. Data allowed the estimation of the erosive power of rainfall as a determinant of erosion in terms of specific degradation in t/ha/year. The Fournier method, based on the fundamental role of the p 2 /P ratio, where p is the precipitation of the wettest month and P is the annual total precipitation, was used. Soil losses by water erosion were obtained in the order of 7.29 and 33.40 t/ha at Huangamarca and Pollo basins, respectively. These losses by erosion are considered as high values, compared to the permissible range by FAO (0, 4-1, 8 t/ha/yr), that affect agro-ecosystems.

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Relative reduction in annual soil loss in micro watersheds due to the relief and forest cover

Cited by 9 publications

References 6 publications

Multicriteria Evaluation for Protected Area Definition Aiming at Water Quality Improvement

Multicriteria Evaluation for Protected Area Definition Aiming at Water Quality Improvement

Multicriteria Decision Analysis for Prioritizing Areas for Forest Restoration

Erosión Hídrica en La Cuenca Alta Del Río Moche

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