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Registros recuperados: 17
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Bulk Density Prediction for Histosols and Soil Horizons with High Organic Matter Content Rev. Bras. Ciênc. Solo
Beutler,Sidinei Julio; Pereira,Marcos Gervasio; Tassinari,Wagner de Souza; Menezes,Michele Duarte de; Valladares,Gustavo Souza; Anjos,Lúcia Helena Cunha dos.
ABSTRACT Bulk density (Bd) can easily be predicted from other data using pedotransfer functions (PTF). The present study developed two PTFs (PTF1 and PTF2) for Bd prediction in Brazilian organic soils and horizons and compared their performance with nine previously published equations. Samples of 280 organic soil horizons used to develop PTFs and containing at least 80 g kg-1 total carbon content (TOC) were obtained from different regions of Brazil. The multiple linear stepwise regression technique was applied to validate all the equations using an independent data set. Data were transformed using Box-Cox to meet the assumptions of the regression models. For validation of PTF1 and PTF2, the coefficient of determination (R2) was 0.47 and 0.37, mean error...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Pedotransfer functions; Multiple linear regression; Box-cox transformation; Soil database.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832017000100309
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Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, região centro-leste do Estado de Minas Gerais Rev. Bras. Ciênc. Solo
Silva,Mayesse Aparecida da; Silva,Marx Leandro Naves; Curi,Nilton; Santos,Gérson Rodrigues dos; Marques,João José Granate de Sá e Melo; Menezes,Michele Duarte de; Leite,Fernando Palha.
Um fator muito atuante no processo erosivo e considerado de grande importância é o fator R, denominado erosividade da chuva. Esse fator é um dos componentes da equação universal de perdas de solo. Estudos de variabilidade espacial têm sido realizados almejando definir a distribuição espacial do fator R para determinada região. Objetivou-se com este trabalho calcular a erosividade da chuva (fator R - EI30) e gerar os mapas de espacialização desta. O estudo foi realizado em áreas experimentais de plantios de eucalipto localizadas em nove municípios, no Vale do Rio Doce, região centro-leste do Estado de Minas Gerais. Foram utilizados dados pluviográficos referentes ao período de janeiro de 2005 a dezembro de 2008. A espacialização da erosividade foi feita com...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fator R (EI30); Potencial erosivo da chuva; Variabilidade espacial; Geoestatística.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000400003
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The use of Pedotransfer functions and the estimation of carbon stock in the Central Amazon region Scientia Agricola
Gomes,Andréa da Silva; Ferreira,Ana Carolina de Souza; Pinheiro,Érika Flávia Machado; Menezes,Michele Duarte de; Ceddia,Marcos Bacis.
ABSTRACT Computer models have been used to assess soil organic carbon (SOC) stock change. Commonly, models require to determine soil bulk density (Db), a variable that is often lacking in soil data bases. To partly overcome this problem, pedotransfer functions (PTFs) are developed to estimate Db from other easily available soil properties. However, only a few studies have determined the accuracy of these functions and quantified their effects on the final quality of the spatial variability maps. In this context, the objectives of this study were: i) to develop one PTF to estimate Db in soils of the Brazilian Central Amazon region; ii) to compare the performance of PTFs generated with three other models generally used to estimate Db in soils of the Amazon...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Içá Formation; Multiple linear regression; Ordinary kriging.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000600450
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Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment Scientia Agricola
Machado,Diego Fernandes Terra; Silva,Sérgio Henrique Godinho; Curi,Nilton; Menezes,Michele Duarte de.
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of soil environmental covariables could drive the accuracy of machine learning techniques. Thus, this study evaluated the ability of the Random Forest algorithm to predict soil classes from different training datasets and extrapolate such information to a similar area. The following training datasets were extracted from legacy data: a) point data composed of 53 soil samples; b) 30 m buffer around the soil samples, and soil map polygons excluding: c) 20 m; and d) 30 m from the boundaries of polygons. These four datasets were submitted to principal component analysis (PCA) to reduce multidimensionality. Each dataset derived a new one. Different combinations of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Digital soil mapping; Soil survey; Legacy data.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001300243
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Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT: The estimation of soil physical and chemical properties at non-sampled areas is valuable information for land management, sustainability and water yield. This work aimed to model and map soil physical-chemical properties by means of knowledge-based digital soil mapping approach as a study case in two watersheds representative of different physiographical regions in Brazil. Two watersheds with contrasting soil-landscape features were studied regarding the spatial modeling and prediction of physical and chemical properties. Since the method uses only one value of soil property for each soil type, the way of choosing typical values as well the role of land use as a covariate in the prediction were tested. Mean prediction error (MPE) and root mean...
Tipo: Info:eu-repo/semantics/article Palavras-chave: ANOVA test; Spatial variability; Fuzzy logic; Typical values.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000200144
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Macro scale analysis of Syrah vineyards under winter growing cycles: Agronomical and ecophysiological responses Scientia Agricola
Brant,Luciana Alves Caldeira; Souza,Cláudia Rita de; Mota,Renata Vieira da; Fernandes,Fernanda de Paula; Gonçalves,Mariana Gabriele Marcolino; Menezes,Michele Duarte de; Peregrino,Isabela; Curi,Nilton; Regina,Murillo de Albuquerque.
ABSTRACT: In Southeast Brazil, the change of grape harvest from wet summer to dry winter through double-pruning management has improved the quality of wines, currently denominated winter wines. In order to better understand the influences of soil, macroclimate, and vineyard management in winter wines, we investigated seven vineyards in the states of Minas Gerais (Três Corações – TC, Três Pontas – TP, Cordislândia – COR, São Sebastião do Paraíso – SSP and Andradas – AND) and São Paulo (Itobi – ITO and Espirito Santo do Pinhal – PIN) during three consecutive growing seasons. The vineyards are located in warm temperate zones and grouped in four soil types: Acrudox in TC, AND and SSP, Hapludox in TP; Hapludult in AND and PIN; Eutrudept in ITO. The high clay...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Vitis vinifera; Double-pruning grape composition; Vegetative vigor; Terroir.
Ano: 2021 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000600601
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Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions Scientia Agricola
Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Mello,Carlos Rogério de; Góes,Helen Thaís Pereira de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geomorphons; Soil-landscape relationships; Pedology; Landforms; Digital soil mapping.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000400363
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Spatial prediction of soil properties in two contrasting physiographic regions in Brazil Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm). Mean prediction of error and root mean square of prediction error were used to assess the prediction methods. Two watersheds with contrasting soil-landscape features were studied, for which the prediction methods were performed differently. A multiple linear stepwise regression model was performed with RK using digital terrain models (DTMs) and remote sensing images in order to choose the best auxiliary covariates. Different pedogenic factors and land uses control soil property distributions in each watershed, and soil properties often display contrasting scales of variability. Environmental...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ordinary kriging; Multiple linear regression; Regression kriging.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000300274
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Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-based digital soil mapping, comparing the prediction to the conventional soil mapping approach through field validation, in a watershed located at Mantiqueira Range region, in the state of Minas Gerais, Brazil. Conventional soil mapping had aerial photo-interpretation as a basis. The knowledge-based digital soil mapping applied fuzzy logic and similarity vectors in an expert system. The knowledge-based...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil survey; Fuzzy logic; Similarity vectors.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000400009
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Hybrid kriging methods for interpolating sparse river bathymetry point data Ciência e Agrotecnologia
Batista,Pedro Velloso Gomes; Silva,Marx Leandro Naves; Avalos,Fabio Arnaldo Pomar; Oliveira,Marcelo Silva de; Menezes,Michele Duarte de; Curi,Nilton.
ABSTRACT Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points. River bathymetry is usually surveyed through cross-sections, which may lead to a sparse sampling pattern. Hybrid kriging methods, such as regression kriging (RK) and co-kriging (CK) employ the correlation with auxiliary predictors, as well as inter-variable correlation, to improve the predictions of the target variable. In this study, we use the orthogonal distance of a (x, y) point to the river centerline as a covariate for RK and CK. Given that riverbed elevation variability is abrupt transversely to the flow...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geostatistics; Spatial prediction; Regression kriging; Riverbed morphology.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000400402
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Digital soil mapping approach based on fuzzy logic and field expert knowledge Ciência e Agrotecnologia
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Owens,Phillip Ray; Curi,Nilton.
In Brazil, soil surveys in more detailed scale are still scarce and necessary to more adequately support the decision makers for planning soil and environment activities in small areas. Hence, this review addresses some digital soil mapping techniques that enable faster production of soil surveys, beyond fitting continuous spatial distribution of soil properties into discrete soil categories, in accordance with the inherent complexity of soil variation, increasing the accuracy of spatial information. The technique focused here is knowledge-based in expert systems, under fuzzy logic and vector of similarity. For that, a contextualization of each tool in the soil types and properties prediction is provided, as well as some options of knowledge extraction...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Digital soil mapping; Soil prediction; Conditioned Latin hypercube sampling; Knowledge miner.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001
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Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF) Ciência e Agrotecnologia
Silva,Sérgio Henrique Godinho; Teixeira,Anita Fernanda dos Santos; Menezes,Michele Duarte de; Guilherme,Luiz Roberto Guimarães; Moreira,Fatima Maria de Souza; Curi,Nilton.
ABSTRACT Determination of soil properties ​​helps in the correct management of soil fertility. The portable X-ray fluorescence spectrometer (pXRF) has been recently adopted to determine total chemical element contents in soils, allowing soil property inferences. However, these studies are still scarce in Brazil and other countries. The objectives of this work were to predict soil properties using pXRF data, comparing stepwise multiple linear regression (SMLR) and random forest (RF) methods, as well as mapping and validating soil properties. 120 soil samples were collected at three depths and submitted to laboratory analyses. pXRF was used in the samples and total element contents were determined. From pXRF data, SMLR and RF were used to predict soil...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil analyses; Spatial prediction; Proximal sensor..
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000600648
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Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management Ciência e Agrotecnologia
Taveira,Luís Renato Silva; Menezes,Michele Duarte de; Teixeira,Anita Fernanda dos Santos; Curi,Nilton.
ABSTRACT Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary because different attributes may affect it. For these adaptations, the Minas Gerais soil map was used as the starting point for this study. The criteria to define the land use capability were adapted to management levels with small (level A) and medium (level B) application of capital and modern technology (level C). The aim of the present study was to map land use capability for Minas Gerais state, Brazil, following the criteria adapted to different levels of management and measure the accuracy of the resulting maps. The system of land use capability is widely used by INCRA in evaluations of rural...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil map; Land use intensity; Mapping accuracy; Geographic information system.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600631
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Land suitability for final waste disposal with emphasis on septic systems installation in southern Minas Gerais, Brazil Ciência e Agrotecnologia
Oliveira,Jeani Moreira de; Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Kämpf,Nestor; Curi,Nilton.
ABSTRACT Environmental pollution is a problem that has been noted due to changes in the environment, affecting natural resources. Regarding the soil, it may offer great potential for waste disposal. Thus, this study aims to propose criteria for evaluating local suitability for waste disposal, according to soil and terrain attributes for southern Minas Gerais State, and to apply those criteria to define the most appropriate locations for installation of septic systems in a pilot watershed. Literature and the authors' experience were used to propose the more important criteria regarding the suitability of sites for waste disposal. The set of attributes taken into account was grouped into four suitability classes: Adequate, Regular, Restricted and Inadequate....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Environmental pollution; Watershed; Pedology..
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000100037
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Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas Ciência e Agrotecnologia
Pelegrino,Marcelo Henrique Procópio; Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Silva,Elidiane da; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT Existing soil maps (legacy data) associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas. Detailed soil maps of Vista Bela creek (VBW) and Marcela creek (MCW) watersheds were used as source of information. Seven methods to extract information from maps were compared: the whole polygon, eliminating 20 and 40 m from the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Decision trees; Pedology; Tropical soils.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000500534
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Levantamento detalhado de solos da microbacia hidrográfica do horto florestal Terra Dura (RS) e considerações sobre escalas de mapeamento Ciência e Agrotecnologia
Costa,Adriana Monteiro da; Curi,Nilton; Menezes,Michele Duarte de; Araújo,Elias Frank de; Marques,João José.
A utilização adequada de informações contidas em levantamentos de solos fornece subsídios para o planejamento de diversas áreas de atividade, sejam agrícolas ou não-agrícolas. Entretanto, tem-se observado a ampliação dos mapas de solos de microbacias hidrográficas e de municípios, a partir de mapas de pequena escala, sem trabalhos de campo. Essa prática, no entanto, não é aconselhável, podendo levar à interpretações incorretas. Assim, este trabalho foi desenvolvido com o objetivo de executar o levantamento detalhado de solos de uma microbacia hidrográfica localizada no estado do Rio Grande do Sul e comparar as informações obtidas pelo levantamento detalhado de solos, escala 1:10.000, com aquelas dos mapas ampliados do levantamento de reconhecimento de...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Mapas; Ampliação de mapas; Tipos de mapas de solos.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542009000500011
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Levantamento pedológico e sistema de informações geográficas naavaliação do uso das terras em sub-bacia hidrográfica de Minas Gerais Ciência e Agrotecnologia
Menezes,Michele Duarte de; Curi,Nilton; Marques,João José; Mello,Carlos Rogério de; Araújo,Alexandre Romeiro de.
A aptidão agrícola das terras consiste em uma classificação técnica que identifica o potencial agrícola de utilização das mesmas, considerando as limitações do solo em níveis de manejo diferenciados a partir das informações geradas em um levantamento pedológico. O cruzamento dos dados de aptidão agrícola e uso atual das terras em ambiente SIG (Sistema de Informações Geográficas) consiste numa ferramenta adequada de planejamento, pois permite determinar a inadequação entre uso e aptidão agrícola, dando bases sustentáveis à exploração. Neste estudo, foram realizadas a avaliação da aptidão agrícola das terras e seu uso atual com auxílio de imagens de satélite e observações de campo, e a identificação de Áreas de Preservação Permanente (APPs) em uma sub-bacia...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Aptidão Agrícola das Terras; Áreas de Preservação Permanente; Taxa de Adequação de Uso.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542009000600013
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