Effects of land terracing on soil properties in the Priorat region in Northeastern Spain: A multivariate analysis

Ramos, M. C.; Cots-Folch, R.; Martínez‐Casasnovas, José A.

doi:10.1016/j.geoderma.2007.08.005

Cited by 62 publications

(49 citation statements)

References 41 publications

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“…Many benefits are associated with the land leveling practice (Ramos et al, 2007); however, studies have also pointed to some disadvantages due to severe soil disturbance, indicating that there is some controversy regarding the positive and negative effects of leveling (Walker et al, 2003;Brye et al, 2005;Cay & Cattle, 2005). Therefore, new studies are necessary to investigate the subject, establishing parameters that may help farmers when planning land leveling, in the sense of foreseeing changes that will occur in the area.…”

Section: Introductionmentioning

confidence: 99%

Chemical and biological attributes of a lowland soil affected by land leveling

Parfitt

Timm

Reichardt

et al. 2013

Pesq. agropec. bras.

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-The objective of this work was to evaluate the relationship between soil chemical and biological attributes and the magnitude of cuts and fills after the land leveling process of a lowland soil. Soil samples were collected from the 0-0.20 m layer, before and after leveling, on a 100 point grid established in the experimental area, to evaluate chemical attributes and soil microbial biomass carbon (MBC). Leveling operations altered the magnitude of soil chemical and biological attributes. Values of Ca, Mg, S, cation exchange capacity, Mn, P, Zn, and soil organic matter (SOM) decreased in the soil profile, whereas Al, K, and MBC increased after leveling. Land leveling decreased in 20% SOM average content in the 0-0.20 m layer. The great majority of the chemical attributes did not show relations between their values and the magnitude of cuts and fills. The relation was quadratic for SOM, P, and total N, and was linear for K, showing a positive slope and indicating increase in the magnitude of these attributes in cut areas and stability in fill areas. The relationships between these chemical attributes and the magnitude of cuts and fills indicate that the land leveling map may be a useful tool for degraded soil recuperation through amendments and organic fertilizers.Index terms: flooded rice, soil biological attributes, soil chemical attributes, soil management, soil movement. Atributos químicos e biológicos de um solo de várzea afetados pela sistematização do terrenoResumo -O objetivo deste trabalho foi avaliar a relação entre os atributos químicos e biológicos do solo e as magnitudes de cortes e aterros após sistematização de um solo de várzea. Foram coletadas amostras de solo na camada de 0-0,20 m, antes e depois da sistematização, em uma malha de 100 pontos estabelecida na área experimental, para avaliar os atributos químicos do solo e o carbono da biomassa microbiana (CBM). A sistematização alterou a magnitude dos atributos químicos e biológicos do solo. Valores de Ca, Mg, S, capacidade de troca catiônica, Mn, P, Zn e matéria orgânica do solo (MOS) diminuíram no perfil do solo, enquanto os de Al, K e CBM aumentaram após a sistematização. A sistematização reduziu em 20% o conteúdo médio de MOS na camada de 0-0,20 m. A maior parte dos atributos químicos não apresentou relação com as magnitudes de corte e aterro. A relação foi quadrática para MOS, P e N total, e linear para K, mostrando inclinação positiva e aumento das magnitudes destes atributos em áreas de corte e estabilidade em áreas de aterro. As relações entre estes atributos químicos e as magnitudes de cortes e aterro indicam que o mapa de sistematização pode ser uma ferramenta útil para a recuperação de solos degradados por meio da aplicação de corretivos e fertilizantes orgânicos.Termos para indexação: arroz irrigado, atributos biológicos do solo, atributos químicos do solo, manejo do solo, movimento do solo.

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Section: Introductionmentioning

confidence: 99%

Chemical and biological attributes of a lowland soil affected by land leveling

Parfitt

Timm

Reichardt

et al. 2013

Pesq. agropec. bras.

View full text Add to dashboard Cite

show abstract

“…The second component is the second linear combination, uncorrelated with the first, which represents the maximum residual variance, and so on, until totally account the variance. It is desirable that a small number of components explain the higher percentage of the total variance, it means, the data set can be described in a lower dimensional space (RAMOS et al, 2007).…”

Section: Methodsmentioning

confidence: 99%

“…The results are obtained using different algorithms, which calculate the distance through the sum of the squares between two groups, rising over all variables. In each estimate, the sum of squares between groups is minimized over the partitions, through the combination of two groups, estimated in a previous step (RAMOS et al, 2007).…”

Section: Methodsmentioning

confidence: 99%

Soil penetration resistance analysis by multivariate and geostatistical methods

2012

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ABSTRACT:The penetration resistance (PR) is a soil attribute that allows identifies areas with restrictions due to compaction, which results in mechanical impedance for root growth and reduced crop yield. The aim of this study was to characterize the PR of an agricultural soil by geostatistical and multivariate analysis. Sampling was done randomly in 90 points up to 0.60 m depth. It was determined spatial distribution models of PR, and defined areas with mechanical impedance for roots growth. The PR showed a random distribution to 0.55 and 0.60 m depth. PR in other depths analyzed showed spatial dependence, with adjustments to exponential and spherical models. The cluster analysis that considered sampling points allowed establishing areas with compaction problem identified in the maps by kriging interpolation. The analysis with main components identified three soil layers, where the middle layer showed the highest values of PR.KEYWORDS: compaction, cluster analysis, principal components, Andisol. ANÁLISIS DE LA RESISTENCIA A LA PENETRACIÓN DEL SUELO MEDIANTE MÉTODOS GEOESTADÍSTICOS Y MULTIVARIADOSRESUMEN: La resistencia a la penetración (RP) es un atributo del suelo que permite identificar zonas con restricciones debido a la compactación, que se traduce en impedancia mecánica para el desarrollo de las raíces y en una menor productividad de los cultivos. El objetivo del presente trabajo fue caracterizar la RP de un suelo agrícola, mediante análisis geoestadístico y multivariado. El muestreo se realizó de manera aleatoria en 90 puntos, hasta una profundidad de 0,60 m. Se determinaron los modelos de distribución espacial de la RP y se delimitaron áreas con problemas de impedancia mecánica de las raíces. La RP presentó distribución aleatoria a 0,55 y 0,60 m de profundidad. La RP en las otras profundidades analizadas mostraron dependencia espacial, con ajustes a modelos exponenciales y esféricos. El análisis jerárquico que consideró puntos de muestreo, permitió establecer zonas con problemas de compactación, identificadas en los mapas obtenidos mediante interpolación por kriging. El análisis de componentes principales permitió identificar tres capas de suelo, donde la capa intermedia fue la que presentó los mayores valores de RP.

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“…The principal components analysis reduces the dimensions, showing the different basic components, called principal components. Normally, a small number of components explain a high percentage of the total variance, i.e., the data cluster may be described in a smaller dimensional space (Ramos et al, 2007). On the other hand, the hierarchical cluster analysis identifies groups where the attributes present some similarities between each other.…”

Section: Research Papermentioning

confidence: 99%

Spatial variability of an Alfisol cultivated with sugarcane

et al. 2011

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Soil variability occurs due to natural and anthropogenic factors acting at various spatial and temporal scales. The purpose of this study was to evaluate the spatial variability as well as the relation of some chemical attributes using different statistical techniques. The study was conducted in the municipality of Maracanaú (CE, Brazil) in the commercial area of sugar cane in a typic Hapludalf. Soils were sampled in a 100 x 100 m grid every 10 m and at a depth between 0 and 20 cm for determination of exchangeable acidity, pH (KCl), Ca, Na, K, Mg, P, N, sum of bases, cationic exchange capacity, base saturation and organic matter. Data were subjected to analysis of descriptive statistics, multivariate analysis and geostatistics. Attributes showed low and medium variability, except for pH that did not show spatial dependence. Different statistical tools helped to identify the soil spatial variability and to get a better understanding of relationships among different attributes. Techniques also allowed to better plan and control agricultural production, especially in carrying out site specific management of agricultural inputs.

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Effects of land terracing on soil properties in the Priorat region in Northeastern Spain: A multivariate analysis

Cited by 62 publications

References 41 publications

Chemical and biological attributes of a lowland soil affected by land leveling

Chemical and biological attributes of a lowland soil affected by land leveling

Soil penetration resistance analysis by multivariate and geostatistical methods

Spatial variability of an Alfisol cultivated with sugarcane

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