Spatial distribution of water erosion risk in a watershed with eucalyptus and Atlantic Forest

Avanzi, Junior César; Silva, Marx Leandro Naves; Curi, Nilton; Norton, L. D.; Beskow, Samuel; Martins, Sérgio Gualberto

doi:10.1590/s1413-70542013000500006

Cited by 41 publications

(37 citation statements)

References 15 publications

(18 reference statements)

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“…4) at a scale of 1:20,000. This contribution will allow enhanced implementation of soil erosion models based on USLE and/or RUSLE (García-Préchac and Durán, 1999;Clericí and García-Préchac, 2001;Durán and García-Prechac, 2007;Hill et al, 2008) or through the combination of land cover and soil information through a GIS (Kouli et al, 2008;Bulut et al, 2012;Demirci and Karaburun, 2012;Avanzi et al, 2013). This is necessary work for soil erosion prevention through soil conservation policies (Kuhlman et al, 2010), such as those suggested by Prager et al (2011), that Uruguay has implemented at a national scale since 2012 (MGAP, 2012).…”

Section: Discussionmentioning

confidence: 99%

USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

Beretta-Blanco

Carrasco-Letelier

2017

Ciencia e investigación agraria

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A. Beretta-Blanco, L. Carrasco-Letelier. 2017. USLE/RUSLE K-factors allocated through a linear mixed model for uruguayan soils. Cien. Inv. Agr. 44(1): 100-112. Soil erosion by rainfall is a process that demands management, both for the prevention of excessive soil erosion and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapped Uruguayan soil types at 1:1,000,000 scale. This work developed a linear mixed model (LMM) with 79 soils with assigned K-factors, in which the following variables were considered: soil taxonomy, chemical composition, and parent material. The developed LMM had an R 2 =0.86, in which the soil taxonomy (p<0.0001), parent material (p=0.0174), clay (p=0.0005) and sand (p=0.017) contents had significant statistical effects. The prediction capacity of this model was assessed with 10 soils not previously used in development of the LMM with assigned K-factors. The prediction assessment had an R 2 =0.84 and a mean error of 9.08% of the mean K-factor value. The LMM developed was used for the allocation of K-factors to soils mapped at a 1:20,000-resolution. Thus, the use of LMM increased the soil area with assigned K-factors from 111,822 km 2 (at a scale of 1:1,000,000) to 174,132 km 2 (1:20,000).

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Section: Discussionmentioning

confidence: 99%

USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

Beretta-Blanco

Carrasco-Letelier

2017

Ciencia e investigación agraria

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“…In this sense, Avanzi et al (2013), who analyzed the process of water erosion in an afforested basin, noticed that in areas intended for planting eucalyptus there is evidence of greater levels of soil loss than in areas with Atlantic Forest vegetation, which reinforces the role of native cover in soil conservation.…”

Section: Sediment Delivery Rate (Sdr)mentioning

confidence: 99%

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

Durães

Filho

Oliveira

2016

RBRH

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Soil erosion is one of the most striking environmental degradation processes, which its mapping and assessment is an important tool for management activities and natural resource management in river basins, allowing managers to implement policies and sustainable land use occupation. This work aimed to apply the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment in the upper Iguaçu river basin, located at Paraná State, in order to assess the vulnerability to water erosion as well as the concentration of dissolved solids in suspension to estimate the solid discharge and sediment delivery rate, allowing the identification of more susceptible areas to water erosion. The results showed that over 23.52% of the upper Iguaçu river basin presented soil losses below 2.5 t ha -1 yr -1 , meaning current low potential for erosion. Regarding the solid discharge, the basin has values ranging from low to very high, also leading to high values for sediment delivery rate. The identification of risk areas associated with accelerated erosion, carried out in this study provide important information for measures associated with the management, conservation and planning of land use in the basin, which is highly relevant for predicting development of various scenarios for the state Paraná for its hydroelectric potential.Keywords: Soils; Geoprocessing; RUSLE. RESUMOA erosão do solo é um dos processos de degradação ambiental mais impactantes, no qual seu mapeamento e avaliação consiste em uma importante ferramenta para atividades de manejo e gestão dos recursos naturais em bacias hidrográficas, permitindo aos gestores implementar políticas de uso e ocupação do solo de forma sustentável. O presente trabalho teve por objetivo a aplicação da Equação Universal de Perda de Solo Revisada (RUSLE) em ambiente SIG, na Bacia Hidrográfica do Alto Rio Iguaçu (BHARI), localizada no Estado do Paraná / Brasil, afim de avaliar a vulnerabilidade à erosão hídrica bem como a concentração dos sólidos dissolvidos em suspensão para estimar a descarga solida e a taxa de aporte de sedimentos, permitindo identificar áreas mais suscetíveis à erosão hídrica. Os resultados mostraram que mais de 23,52% da BHARI apresentou perdas de solo abaixo de 2,5 t ha -1 ano -1, significando baixo potencial atual de erosão. Em relação a descarga sólida, a bacia apresentou valores variando de baixo a muito alta, levando também a elevados valores para a taxa de aporte de sedimentos. A identificação de áreas de risco associadas à erosão acelerada, realizadas neste estudo, fornecem subsídios importantes para medidas associadas ao manejo, conservação e planejamento do uso do solo nesta bacia, a qual é altamente relevante para predição de desenvolvimento de cenários variados para o Estado do Paraná por seu potencial hidroelétrico. Palavras

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“…Agrotec., Lavras, v.39, n.1, p.58-67, jan./fev., 2015 This way, studies on water erosion in different types of land use and management are essential for land use planning, soil and water conservation, and recovery of degraded areas (Avanzi et al, 2013).…”

mentioning

confidence: 99%

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

et al. 2015

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Water erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha -1 year -1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.

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Spatial distribution of water erosion risk in a watershed with eucalyptus and Atlantic Forest

Cited by 41 publications

References 15 publications

USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

Spatial and Temporal Modeling of Water Erosion in Dystrophic Red Latosol (Oxisol) Used for Farming and Cattle Raising Activities in a Sub-Basin in the South of Minas Gerais

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