Levantamento detalhado de solos da microbacia hidrográfica do horto florestal Terra Dura (RS) e considerações sobre escalas de mapeamento

Costa, Adriana Monteiro da; Curi, Nilton; Menezes, Michele Duarte de; Araújo, Elias Frank de; Marques, João José

doi:10.1590/s1413-70542009000500011

Cited by 5 publications

(4 citation statements)

References 4 publications

(4 reference statements)

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“…Geology consists of intrusive igneous rocks, syenogranites corresponding to Intrusive Suíte Dom Feliciano—Lithofacies Serra do Herval, Neoproterozoic period (2,500 Ma; Ramgrab et al, ). Soils on site are classified as Argissolo Vermelho , Argissolo Amarelo , Argissolo Vermelho‐Amarelo , Cambissolo Háplico , and Planossolo Háplico (Costa, Curi, Menezes, Araújo, & Marques, , Brazilian Soil Classification System—(Santos et al, )), and as Ultisols, Inceptisols, and Planosols (Soil Taxonomy—United States Department of Agriculture, ). Soil texture gradient is greater in Ultisols and Planosols (Oliveira, ), where the sandy texture in surface horizons (A + E) provides rapid water infiltration, which decreases inside the textural B horizon due to its lower permeability.…”

Section: Methodsmentioning

confidence: 99%

Coarse and fine sediment sources in nested watersheds with eucalyptus forest

et al. 2018

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Knowledge on sediment behavior in watersheds contributes to properly implement soil and water conservation practices and solve sediment‐related environmental problems. We examined the effects of suspended and bedload sediments and location of potential sediment sources. We used geochemical properties to calculate sediment contributions, with sediment fingerprinting approach, in a watershed (0.98 km2) and in a sub‐watershed (0.39 km2) cropped to commercial eucalyptus along with native forest. The sediment sources evaluated were eucalyptus stand, stream bank along the main channel, and unpaved roads in each watershed. Two size‐fractions of source and sediment samples including fine (<0.063 mm) and coarse (0.063–2 mm) particles were analyzed. Particle size and source location in the watershed are major factors affecting the contribution of sediment sources. The closer the sediment source, the higher the sediment source contribution, especially for coarse particles. Runoff connectivity probably explains large changes in sediment source contributions over very short distances between sampling sites. The stream bank had the greater relative contribution to sediment yield, suggesting that the focal point for erosion control practices should be the channel rather than on the slopes with eucalyptus or riparian vegetation. Future studies should consider uncertainties in grouping sediment sources with a much better signal‐to‐noise ratio.

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Section: Methodsmentioning

confidence: 99%

Coarse and fine sediment sources in nested watersheds with eucalyptus forest

et al. 2018

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“…Soil maps (1:10 000) and characteristics such as texture, hydraulic conductivity, and water retention curves are described in other studies (Costa et al, ; Santos et al, ). The predominant soil in both TD and PC catchments was Haplic Acrisol with loam surface textures (Table ) and high saturated hydraulic conductivity.…”

Section: Methodsmentioning

confidence: 99%

Quantifying the effects of Eucalyptus plantations and management on water resources at plot and catchment scales

Almeida

Smethurst

Siggins

et al. 2016

Hydrological Processes

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Our aim was to quantify the effects of forest plantation and management (clear cut or 30% partial harvest) in relation to pasture, on catchment discharge in southeast Rio Grande do Sul state, Brazil. A paired‐catchment approach was implemented in two regions (Eldorado do Sul and São Gabriel municipalities) where discharge was measured for 4 years at three catchments in each region, two of which were predominantly eucalypt plantation (mainly Eucalyptus saligna, rotation of approximately 7–9 years) with native forest and grass in streamside zones. The third catchment was covered with grazed pasture. Weather, soils, canopy interception, groundwater level, tree growth, and leaf area index were also measured. The 3‐PG process‐based forest productivity model was adapted to predict spatial daily plantation and pasture water balance including precipitation interception, soil evaporation, transpiration, soil moisture, drainage, discharge, and monthly plantation growth. The TOPMODEL framework was used to simulate water pools and fluxes in the catchments. Discharge was higher under pasture than pre‐harvesting plantation and increased for 1–2 years after complete plantation harvest; this change was less pronounced in the catchments under partial harvest. The ratio of discharge to precipitation before harvesting varied from 7% to 13% in the eucalypt catchments and 28% to 29% under pasture. The ratio increases to 23–24% after total harvest, and to 17% after partial harvesting. The ratio under pasture also increases during this period (to 32–44%) owing to increased precipitation. The baseflow, in relation to total discharge, varied from 28% to 62% under Eucalyptus and from 38% to 43% in the pasture catchments. Hence, eucalypt plantations in these regions can be expected to influence discharge regimes when compared with pasture land use, and modelling suggests that partial harvesting would moderate the magnitude of discharge variation compared with a full catchment plantation harvesting. The model efficiency coefficient (Nash–Sutcliffe model efficiency coefficient) varied from 0.665 to 0.799 for the total period of the study. Simulation of alternative harvesting scenarios suggested that at least 20% of the catchment planted area must be harvested to increase discharge. This model could be a useful practical tool in various plantation forestry contexts around the world. Copyright © 2016 John Wiley & Sons, Ltd.

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“…In that sense, the use of geotechnologies such as GPS, digital maps, digital elevation models (DEM) and geographical information systems (GIS), along with modern geoprocessing techniques and tools, aid the production of greater scale soil maps, facilitating a more precise delimitation of the soil classes (McBratney;Mendonça-Santos;Minasny, 2003;Costa et al, 2009b;Horta et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Detailed soil survey of an experimental watershed representative of the Brazilian Coastal Plains and its practical application

et al. 2014

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This paper presents a detailed soil survey of an experimental watershed with representative pedoclimatic characteristics of the Coastal Plains in Espírito Santo State and its practical applications. For the pedological survey, 35 observation sites and three soil profiles were sampled and described, which were morphologically characterized and subjected to physical (particle size) and chemical analyses (routine and sulfuric acid digestion). The soil map was made using the geographic information system ArcGIS 9.3. This GIS software was also used to generate the digital elevation model (DEM) for identifying the slope classes. SAGA software was used to calculate the topographic wetness index (WI) which aided in a more accurate separation of Haplic Organosol from other soils. The predominant soil class in the watershed was the dystrophic/dystrocohesive Yellow Argisol (97%), containing morphological, chemical and physical characteristics representative of the most expressive Coastal Plains soils. Geoprocessing tools and techniques aided to make the watershed soil map.Index terms: Soil map, geoprocessing, GIS. RESUMONeste trabalho, apresenta-se o levantamento detalhado de uma microbacia hidrográfica experimental representativa das características pedoclimáticas dos Tabuleiros Costeiros brasileiros e sua aplicação prática. Para o levantamento pedológico, foram descritos morfologicamente e amostradas 35 microtrincheiras e três perfis modais, cujas amostras foram submetidas a análises físicas (textura) e químicas (fertilidade e ataque sulfúrico). A confecção do mapa de solos foi realizada, utilizando-se o sistema de informação geográfica ArcGIS 9.3, no qual foi gerado o modelo digital de elevação (DEM) para a separação das fases de relevo. Utilizou-se também o programa SAGA GIS, para a geração do índice topográfico de umidade (WI) que auxiliou na separação mais precisa do Organossolo Háplico dos demais solos. A classe de solo predominante na microbacia foi o Argissolo Amarelo distrófico/ distrocoeso (97%), com características morfológicas, químicas e físicas representativas dos solos mais expressivos dos Tabuleiros Costeiros. Ferramentas e técnicas de geoprocessamento auxiliaram na confecção do mapa de solos da microbacia.Termos para indexação: Mapa de solos, geoprocessamento, SIG.

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Levantamento detalhado de solos da microbacia hidrográfica do horto florestal Terra Dura (RS) e considerações sobre escalas de mapeamento

Cited by 5 publications

References 4 publications

Coarse and fine sediment sources in nested watersheds with eucalyptus forest

Coarse and fine sediment sources in nested watersheds with eucalyptus forest

Quantifying the effects of Eucalyptus plantations and management on water resources at plot and catchment scales

Detailed soil survey of an experimental watershed representative of the Brazilian Coastal Plains and its practical application

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