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The purpose of this study was to determine if relationships between landscape position and soil properties occurred on a podzolic landscape with hummocky meso-topography, which is under intensive potato production in New Brunswick, Canada. Elevation was measured on an approximately 5 m grid spacing and used to construct a digital elevation model. Selected soil textural, morphological and chemical...
Thematic maps are one of the most common tools for representing the spatial variation of a variable. They are easy to interpret thanks to the simplicity of presentation: clear boundaries define homogeneous areas. However, especially when the variable is continuous, abrupt changes between cartographic units are often unrealistic and the intra-unit variation is hidden behind a single representative...
A geostatistical analysis assumes some form of stationarity of the variable under study, but different types of stationarity exist and often spatial data exhibit some form of nonstationarity. However, most studies assume one type of nonstationarity and consequently apply one type of interpolation method within the study area.A study area of 8x18-km area was selected because it was expected to contain...
Soil organic matter contents (SOM) of soils of the Semiarid Pampas of Argentina (SAP), mostly Entic Haplustolls, increase with the amount of silt+clay, but it is still not known how soil texture affects its qualitative composition in interaction with climatic and management conditions. Because of that the organic matter content of the following aggregate size fractions were determined: <2000 μm...
Texture, among several other factors, may play an important role in controlling the distribution and activity of soil microbial biomass and, in turn, the size and quality of soil organic matter (SOM) pools, and the related dynamics of N and S in soil. Little information is available in the current literature on the occurrence and extent of these textural effects in semiarid soils of Argentinean Pampas...
Particle-size distribution (PSD) of soils has been frequently used to estimate soil hydraulic properties. Various parametric PSD models have been proposed to describe a full range of the soil PSD from sparse experimental data. Nine PSD models were examined in order to determine the best model in representing the PSDs of 1385 Korean soils with textures ranging from sand to heavy clay. The coefficient...
Global data sets of rooting depths, long-term means of monthly precipitation and potential evapotranspiration, and soil texture were used to predict the probability of deep rooting around the globe. Rooting depths were considered to be deep if 5% or more of all roots in a profile were located below 2 m depth. Spatially explicit global predictions were based on empirical models relating the probability...
Soil mechanical resistance to penetration by roots can potentially contribute to the spatial and temporal variability in root and shoot growth. Functions that accurately relate penetrometer resistance to soil properties are important tools for assessing the contribution of soil mechanical resistance (SMR) when the temporal and spatial variability in SMR cannot be readily measured. Although effective...
Empirical models have been developed to describe the soil water retention curve (SWRC). Applications of the fractal theory may provide a useful tool to fill the gap between the use of empirical models and physical interpretation of their parameters. Especially a more generalized model for the SWRC has been developed based on the pore–solid fractal (PSF) distribution. The PSF model covers several existing...
Rock-derived nutrients in soils originate from both local bedrock and atmospheric dust, including dust from far-distant sources. Distinction between fine particles derived from local bedrock and from dust provides better understanding of the landscape-scale distribution and abundance of soil nutrients. Sandy surficial deposits over dominantly sandstone substrates, covering vast upland areas of the...
The spatial variability of within field topsoil texture and organic matter was studied using airborne hyperspectral imagery so as to develop improved fine-scale soil mapping procedures. Two important topsoil variables for precision farming applications, soil organic matter and soil texture, were found to be correlated with spectral properties of the airborne HyMap scanner. The percentage sand, clay,...
Fractal scaling has been proposed as a method to evaluate spatial variability of soil properties. Fractal scaling of particle-size distribution, which controls many dynamic and static processes such as transmission of water and solutes, water holding capacity, heat storage and conductivity, etc., has been widely studied. We evaluated surface fractal dimensions for particle-size distributions, D ...
The concept of structural and functional hierarchy prevails in studies on the turnover of organic matter (OM) in soil. We examined the degree of structural hierarchy in arable soils sampled at six locations along a naturally occurring texture gradient (11 to 45% clay, 12.9 to 15.8 mg C g −1 soil). One set of samples was incubated with 14 C labeled ryegrass for 8 months while another...
The objective of this study was to explore the spatio-temporal variability of soil organic matter (SOM) in the urban–rural transition zone of Beijing. SOM content in agricultural soils were measured in 1980, 1990 and 2000 in Daxing County of Beijing in-situ and data of 1980 and 1990 were obtained from the National Soil Survey (NSS). Descriptive statistics and geostatistics were used to analyze the...
Soil salinity is one of the limiting factors of agricultural productivity. It is essential to determine the soil salinity in a reliable and yet relatively easy method. This experimental study was carried out to assess the possibilities of measuring electrical conductivity as well as ion concentrations in the extracts of different soil to water ratios, (1:1, 1:2.5, 1:5), and to compare them with those...
Information on spatial variability of different C pools and fractions is important for site-specific monitoring the changes in soil carbon (C) on a farm-scale basis. The objectives of this study were to compare the effects of 16 years of implementation of conventional chisel-plowed management practice (CT) and organic cover crop based practice (CT-cover) on spatial variability of C mineralized in...
Since soil texture is difficult to quantify, its determination is often restricted to the topsoil. To improve its mapping accuracy, observations of the apparent electrical conductivity (ECa) obtained from proximal soil sensors are increasingly being used due to its close relationship with soil texture under non-saline conditions. However, a single ECa measurement does not allow an unambiguous interpretation...
Nitrogen-fixing plants alter the chemical properties of the soil beneath plant canopies, particularly by concentrating nitrogen-rich organic matter. We hypothesize that the presence of a legume canopy inside a plot will more greatly influence the spatial structure of soil nitrogen (N) than phosphorus (P). We also investigated whether the effects of legume individuals on the soil properties beneath...
Limited information exists on the linkages between soil texture and land use on C storage efficiency. Organic C concentration in soils at the rural–urban interface was measured in 1982, 2000, and 2006 to determine controlling factors and optimal land use type to enhance soil organic C (SOC) storage in benchmark soil textural classes in the North China Plain's Daxing district. Soil texture was the...
Hydropedological processes affect soil water and nutrient transport and cycling. This study evaluated the impact of hydropedological properties on soil N availability and corn (Zea mays L.) growth in three areas within the same field representing distinguishing but typical mid-Atlantic (USA) landforms. These areas included: a depressional area (Site A), a steep (14%) slope area (Site B), and a flood...
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