Spatial variability of Southeastern U.S. Coastal Plain soil physical properties: Implications for site-specific management

Geoderma ◽  
2007 ◽  
Vol 137 (3-4) ◽  
pp. 327-339 ◽  
Author(s):  
Miressa Duffera ◽  
Jeffrey G. White ◽  
Randy Weisz
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Coastal Plain ◽  
Soil Physical Properties ◽  
Site Specific ◽  
Specific Management ◽  
Coastal Plain Soil

scholarly journals Surface-Applied Biosolids Enhance Soil Organic Carbon and Nitrogen Stocks but Have Contrasting Effects on Soil Physical Quality

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Virginia L. Jin ◽  
Kenneth N. Potter ◽  
Mari-Vaughn V. Johnson ◽  
R. Daren Harmel ◽  
Jeffrey G. Arnold
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Physical Properties ◽  
Application Rate ◽  
Soil Physical Properties ◽  
Site Specific ◽  
Long Term Treatment ◽  
C Stocks ◽  
Soc Stocks

Mid- to long-term impacts of land applying biosolids will depend on application rate, duration, and method; biosolids composition; and site-specific characteristics (e.g., climate, soils). This study evaluates the effects of surface-broadcast biosolids application rate and duration on soil organic carbon (SOC) stocks, soil aggregate stability, and selected soil hydraulic properties in a municipally operated, no-till forage production system. Total SOC stocks (0–45 cm soil) increased nonlinearly with application rate in perennial grass fields treated for 8 years with 0, 20, 40, or 60 Mg of Class B biosolids (DM) ha−1 yr−1(midterm treatments). Soil organic C stocks in long-term treatment fields receiving 20 years of 20 Mg ha−1 yr−1were 36% higher than those in midterm fields treated at the same rate. Surface-applying biosolids had contrasting effects on soil physical properties. Soil bulk density was little affected by biosolids applications, but applications were associated with decreased water-stable soil aggregates, increased soil water retention, and increased available water-holding capacity. This study contrasts the potential for C storage in soils treated with surface-applied biosolids with application effects on soil physical properties, underscoring the importance of site-specific management decisions for the beneficial reuse of biosolids in agricultural settings.

Spatial variability of soil physical properties in Archeological Dark Earths under different uses in southern Amazon

2018 ◽  
Vol 182 ◽  
pp. 103-111 ◽  
Author(s):  
Wildson Benedito Mendes Brito ◽  
Milton César Costa Campos ◽  
Bruno Campos Mantovanelli ◽  
José Mauricio da Cunha ◽  
Uilson Franciscon ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Soil Physical Properties

Spatial Variability Analysis of Soil Physical Properties of Alluvial Soils

2005 ◽  
Vol 69 (4) ◽  
pp. 1338-1350 ◽  
Author(s):  
Javed Iqbal ◽  
John A. Thomasson ◽  
Johnie N. Jenkins ◽  
Phillip R. Owens ◽  
Frank D. Whisler
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Soil Physical Properties ◽  
Alluvial Soils ◽  
Variability Analysis

Regional field study of the spatial variability of selected soil physical properties

1983 ◽  
Vol 6 (2-3) ◽  
pp. 269-276 ◽  
Author(s):  
A.G. Hornsby ◽  
J.M. Davidson ◽  
D.K. Cassel ◽  
R.R. Bruce
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Field Study ◽  
Soil Physical Properties

Delineating site-specific management zones for precision agriculture

2015 ◽  
Vol 154 (2) ◽  
pp. 273-286 ◽  
Author(s):  
H. U. FARID ◽  
A. BAKHSH ◽  
N. AHMAD ◽  
A. AHMAD ◽  
Z. MAHMOOD-KHAN
Keyword(s):  
Spatial Variability ◽  
Grain Yield ◽  
Precision Farming ◽  
Farming Practices ◽  
Wheat Grain ◽  
Site Specific ◽  
Management Zones ◽  
Management Zone ◽  
Specific Management ◽  
Landscape Attributes

SUMMARYDelineating site-specific management zones within fields can be helpful in addressing spatial variability effects for adopting precision farming practices. A 3-year (2008/09 to 2010/11) field study was conducted at the Postgraduate Agricultural Research Station, University of Agriculture, Faisalabad, Pakistan, to identify the most important soil and landscape attributes influencing wheat grain yield, which can be used for delineating management zones. A total of 48 soil samples were collected from the top 300 mm of soil in 8-ha experimental field divided into regular grids of 24 × 67 m prior to sowing wheat. Soil and landscape attributes such as elevation, % of sand, silt and clay by volume, soil electrical conductivity (EC), pH, soil nitrogen (N) and soil phosphorus (P) were included in the analysis. Artificial neural network (ANN) analysis showed that % sand, % clay, elevation, soil N and soil EC were important variables for delineating management zones. Different management zone schemes ranging from three to six were developed and evaluated based on performance indicators using Management Zone Analyst (MZA V0·1) software. The fuzziness performance index (FPI) and normalized classification entropy NCE indices showed minimum values for a four management zone scheme, indicating its appropriateness for the experimental field. The coefficient of variation values of soil and landscape attributes decreased for each management zone within the four management zone scheme compared to the entire field, which showed improved homogeneity. The evaluation of the four management zone scheme using normalized wheat grain yield data showed distinct means for each management zone, verifying spatial variability effects and the need for its management. The results indicated that the approach based on ANN and MZA software analysis can be helpful in delineating management zones within the field, to promote precision farming practices effectively.

scholarly journals Multi-species weed spatial variability and site-specific management maps in cultivated sunflower

Weed Science ◽  
2003 ◽  
Vol 51 (3) ◽  
pp. 319-328 ◽  
Author(s):  
Montserrat Jurado-Expósito ◽  
Francisca López-Granados ◽  
Luis García-Torres ◽  
Alfonso García-Ferrer ◽  
Manuel Sánchez de la Orden ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Site Specific ◽  
Specific Management

scholarly journals Effect of Farming Systems on the Spatial Variability of Soil Physical Properties and Soybean Yield

2019 ◽  
Vol 11 (15) ◽  
pp. 87
Author(s):  
Ligia Maria Lucas Videira ◽  
Paulo Ricardo Teodoro Silva ◽  
Diego dos Santos Pereira ◽  
Rafael Montanari ◽  
Alan Rodrigo Panosso ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Variability ◽  
Physical Properties ◽  
Soil Conservation ◽  
Yield Components ◽  
Farming Systems ◽  
Total Porosity ◽  
Soil Bulk Density ◽  
Soil Physical Properties ◽  
High Soil Moisture

In no-tillage (NT) and minimum tillage (MT) areas, spatial variability of soil physical properties may affect crop yield. The aim of this study was to assess the spatial distribution of soil physical properties, as well as the yield components and grain yield of soybean (GY), based on the mapping of areas under soil conservation farming systems. We assessed yield components, GY and the physical properties of an Oxisol, under NT and MT using the t-student test, and geostatistics to assess spatial variability. The largest population of NT plants showed no spatial dependence and did not influence GY, but the components related to plant height and soil properties differed between systems. From a spatial standpoint, the kriging maps demonstrated that mass of one thousand grains (MOG), total porosity (TP) and soil bulk density (BD) influenced GY under NT, whereas TP1 exerted the most influence under high soil moisture conditions and MT. The maps make it possible to assess the spatial distribution of soil physical properties and the influence on GY, making them an important tool for more accurate production planning in soil conservation systems.

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