Spatial variability in the mineralisation of the phenylurea herbicide linuron within a Danish agricultural field: multivariate correlation to simple soil parameters

2005 ◽  
Vol 61 (9) ◽  
pp. 829-837 ◽  
Author(s):  
Jim Rasmussen ◽  
Jens Aamand ◽  
Per Rosenberg ◽  
Ole S Jacobsen ◽  
Sebastian R Sørensen
Keyword(s):  
Spatial Variability ◽  
Soil Parameters ◽  
Agricultural Field ◽  
Multivariate Correlation ◽  
Phenylurea Herbicide

scholarly journals Consolidation Inverse Analysis Considering Spatial Variability and Non-Linearity of Soil Parameters

2002 ◽  
Vol 42 (3) ◽  
pp. 45-61 ◽  
Author(s):  
Shin-ichi Nishimura ◽  
Kiyoshi Shimada ◽  
Hiroaki Fujii
Keyword(s):  
Spatial Variability ◽  
Inverse Analysis ◽  
Soil Parameters

scholarly journals Spatial variability of vegetation index and soil properties in an integrated crop-livestock system

2017 ◽  
Vol 21 (8) ◽  
pp. 513-518 ◽  
Author(s):  
Alberto C. de C. Bernardi ◽  
Célia R. Grego ◽  
Ricardo G. Andrade ◽  
Ladislau M. Rabello ◽  
Ricardo Y. Inamasu
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Management Strategies ◽  
Exchange Capacity ◽  
Soil Parameters ◽  
Forage Production ◽  
Soil P ◽  
Livestock System

ABSTRACT The knowledge of soil property spatial variability is useful for determining the rational use of inputs, such as the site-specific application of lime and fertilizer. The objective of this study was to evaluate the vegetation index and spatial variability of physical and chemical soil properties in an integrated crop-livestock system (ICLS). Soil samples were taken from a 6.9 ha area in a regular hexagon grid at 0-0.20 m depths. Soil P, K, Ca, Mg, and cation exchange capacity - CEC; base saturation; clay and sand were analyzed. Soil electrical conductivity (ECa) was measured with a contact sensor. The site was evaluated at the end of the corn season (April) and during forage production (October) using Landsat 5 images, remote sensing techniques and a geographic information system (GIS). Results showed that the normalized difference vegetation index (NDVI) was associated with ECa and soil parameters, indicating crop and pasture variations in the ICLS. Geostatistics and GIS were effective tools for collecting data regarding the spatial variability of soil and crop indicators, identifying variation trends in the data, and assisting data interpretation to determine adequate management strategies.

Spatial variability of N 2 O emissions and soil parameters of an arable silt loam - a field study

1999 ◽  
Vol 28 (4) ◽  
pp. 403-406 ◽  
Author(s):  
J. Clemens ◽  
M. P. Schillinger ◽  
H. Goldbach ◽  
B. Huwe
Keyword(s):  
Spatial Variability ◽  
Field Study ◽  
Soil Parameters ◽  
Silt Loam
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