Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Sci. agric ; 78(5): 1-11, 2021. graf, tab
Artigo em Inglês | VETINDEX | ID: biblio-1497975

Resumo

In Brazil several digital soil class mapping studies were carried out from 2006 onwards to maximize the use of existing maps and information and to provide estimates for wider areas. However, there is no consensus on which methods have produced superior results in the predictive value of soil maps. This study conducts a systematic review of digital soil class mapping in Brazil and aims to analyze the factors which can improve the accuracy of digital soil class maps. Data from 334 digital soil class mapping studies were grouped and analyzed by Student's t-test, Wilcoxon-Mann-Whitney test and Kruskal-Wallis test. When conventional maps were used for validation, the studies showed average values of 63 % and when field samples were used, 56 % for Overall Accuracy. Studies compatible with the Planimetric Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD) averaged between 4 % and 15 % higher accuracy than those of the incompatible group. There seems to be no evidence that increasing the number of variables and samples results in more accurate soil map prediction, but studies using variables related to four soil-forming factors enhanced accuracy. From a density of 0.08 MU km-² and upwards, it became more difficult for studies to obtain greater accuracy. Artificial neural network classifiers and Decision Tree models seem to be producing more accurate digital soil class maps.


Assuntos
Análise do Solo , Características do Solo/classificação , Características do Solo/métodos , Ciências do Solo , Solo/classificação
2.
Sci. agric. ; 78(5): 1-11, 2021. graf, tab
Artigo em Inglês | VETINDEX | ID: vti-31463

Resumo

In Brazil several digital soil class mapping studies were carried out from 2006 onwards to maximize the use of existing maps and information and to provide estimates for wider areas. However, there is no consensus on which methods have produced superior results in the predictive value of soil maps. This study conducts a systematic review of digital soil class mapping in Brazil and aims to analyze the factors which can improve the accuracy of digital soil class maps. Data from 334 digital soil class mapping studies were grouped and analyzed by Student's t-test, Wilcoxon-Mann-Whitney test and Kruskal-Wallis test. When conventional maps were used for validation, the studies showed average values of 63 % and when field samples were used, 56 % for Overall Accuracy. Studies compatible with the Planimetric Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD) averaged between 4 % and 15 % higher accuracy than those of the incompatible group. There seems to be no evidence that increasing the number of variables and samples results in more accurate soil map prediction, but studies using variables related to four soil-forming factors enhanced accuracy. From a density of 0.08 MU km-² and upwards, it became more difficult for studies to obtain greater accuracy. Artificial neural network classifiers and Decision Tree models seem to be producing more accurate digital soil class maps.(AU)


Assuntos
Solo/classificação , Análise do Solo , Características do Solo/classificação , Características do Solo/métodos , Ciências do Solo
3.
Semina ciênc. agrar ; 41(4): 1119-1134, jul.-ago. 2020. mapas, ilus, tab
Artigo em Inglês | VETINDEX | ID: biblio-1373264

Resumo

The sustainable use of soil requires a broad knowledge of its genesis, morphology, properties, and distribution in the landscape. Thus, the objective of this study was to characterize the pedogenetic attributes of representative soils from the cerrado-caatinga transition of the Gurguéia river basin to indicate their agricultural potential and limitations for the implementation of agroforestry systems. National and international soil classification systems were used to define the soil classes. The limiting factors and agricultural potential were characterized following the evaluation system of the agricultural potential of Brazilian land. In general, profiles 1, 3, 5, and 6 had a low nutrient budget and a sandy to loam texture. Profiles 2, 4, and 7 showed high clay content and nutrient budget. The soil profiles were classified as Ustic Quartzipsamments, Udic Haplusterts, Xanthic Haplustox, Arenic Kanhaplustults, Typic Haplustox, and Aridic Dystrustept based on their pedogenetic characteristics. Udic Haplusterts and Arenic Kanhaplustults soils display restrictions regarding the planting of forests owing to oxygen and soil depth limitations. The other soil classes had adequate physical properties for the implementation of agricultural systems and pastures, including good drainage and medium texture; however, they had low natural fertility, and thus require technologies for soil acidity correction and fertilization. Ustic Quartzipsamments and Ustic soils require the implementation of conservation systems, such as agroforestry, to avoid degradation.(AU)


O uso do solo de forma sustentável requer um amplo conhecimento sobre sua gênese, morfologia, propriedades e distribuição na paisagem. Dessa forma, objetivou-se com esta pesquisa realizar a caracterização pedogenética dos solos representativos da transição cerrado-caatinga da bacia hidrográfica do rio Gurguéia a fim de indicar sua aptidão e limitações para a implantação de sistemas agroflorestais. A caracterização baseou-se no estudo morfológico e na análise química e física dos horizontes de sete perfis de solos. Os sistemas de classificação de solos nacional e internacional foram utilizados para definir as classes de solos existentes na área pesquisada. Os fatores limitantes e a aptidão agrícola dos solos foram caracterizados conforme preposto no sistema de avaliação da aptidão agrícola de terras do Brasil. De forma geral, os perfis 1, 3, 5 e 6 apresentam baixa reserva de nutrientes e textura arenosa a média. Os perfis 2, 4 e 7 possuem maiores teores de argila e maior reserva de nutriente. Diante das características pedogenéticas dos perfis, pôde-se classificar os perfis de solo como NEOSSOLO QUARTZARÊNICO Órtico latossólico; VERTISSOLO HIDROMÓRFICO Órtico típico, LATOSSOLO AMARELO Distrófico típico, ARGISSOLO AMARELO Distrófico Abrúptico, LATOSSOLO VERMELHOAMARELO Distrófico argissólico e CAMBISSOLO HÁPLICO Tb Eutrófico típico respectivamente. Os VERTISSOLOS e CAMBISSOLOS presentam restrições a implantação de florestas devido à restrição de oxigênio e restrição a profundidade do solo. As demais classes de solos apresentaram propriedades físicas adequadas para a implantação de sistemas agrícolas e pastagens, incluindo boa drenagem e textura média; no entanto, tinham baixa fertilidade natural e, portanto, requerem correção da acidez do solo e adubação. Os solos NEOSSOLOS e ARGISSOLOS requerem a implementação de sistemas de conservação, como as agroflorestas, para evitar sua degradação.(AU)


Assuntos
24444 , Usos do Solo , Análise do Solo , Brasil , Fenômenos Geológicos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA