Spatial Variability of Physical Soil Quality Index of an Agricultural Field

A field investigation was carried out to evaluate the spatial variability of physical indicators of soil quality of an agricultural field and to construct a physical soil quality index (SQIP) map. Surface soil samples were collected using 10  m×10 m grid from an Inceptisol on Ganges Tidal Floodplain...

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Main Authors: Sheikh M. Fazle Rabbi, Bina R. Roy, M. Masum Miah, M. Sadiqul Amin, Tania Khandakar
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Applied and Environmental Soil Science
Online Access:http://dx.doi.org/10.1155/2014/379012
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spelling doaj-b129b83c15ec496496f0545eb1571ff92020-11-24T23:03:29ZengHindawi LimitedApplied and Environmental Soil Science1687-76671687-76752014-01-01201410.1155/2014/379012379012Spatial Variability of Physical Soil Quality Index of an Agricultural FieldSheikh M. Fazle Rabbi0Bina R. Roy1M. Masum Miah2M. Sadiqul Amin3Tania Khandakar4Soil Science Discipline, Khulna University, Khulna 9208, BangladeshSoil Science Discipline, Khulna University, Khulna 9208, BangladeshSoil Science Discipline, Khulna University, Khulna 9208, BangladeshSoil Science Discipline, Khulna University, Khulna 9208, BangladeshSoil Science Discipline, Khulna University, Khulna 9208, BangladeshA field investigation was carried out to evaluate the spatial variability of physical indicators of soil quality of an agricultural field and to construct a physical soil quality index (SQIP) map. Surface soil samples were collected using 10  m×10 m grid from an Inceptisol on Ganges Tidal Floodplain of Bangladesh. Five physical soil quality indicators, soil texture, bulk density, porosity, saturated hydraulic conductivity (KS), and aggregate stability (measured as mean weight diameter, MWD) were determined. The spatial structures of sand, clay, and KS were moderate but the structure was strong for silt, bulk density, porosity, and MWD. Each of the physical soil quality indicators was transformed into 0 and 1 using threshold criteria which are required for crop production. The transformed indicators were the combined into SQIP. The kriged SQIP map showed that the agricultural field studied could be divided into two parts having “good physical quality” and “poor physical soil quality.”http://dx.doi.org/10.1155/2014/379012
collection DOAJ
language English
format Article
sources DOAJ
author Sheikh M. Fazle Rabbi
Bina R. Roy
M. Masum Miah
M. Sadiqul Amin
Tania Khandakar
spellingShingle Sheikh M. Fazle Rabbi
Bina R. Roy
M. Masum Miah
M. Sadiqul Amin
Tania Khandakar
Spatial Variability of Physical Soil Quality Index of an Agricultural Field
Applied and Environmental Soil Science
author_facet Sheikh M. Fazle Rabbi
Bina R. Roy
M. Masum Miah
M. Sadiqul Amin
Tania Khandakar
author_sort Sheikh M. Fazle Rabbi
title Spatial Variability of Physical Soil Quality Index of an Agricultural Field
title_short Spatial Variability of Physical Soil Quality Index of an Agricultural Field
title_full Spatial Variability of Physical Soil Quality Index of an Agricultural Field
title_fullStr Spatial Variability of Physical Soil Quality Index of an Agricultural Field
title_full_unstemmed Spatial Variability of Physical Soil Quality Index of an Agricultural Field
title_sort spatial variability of physical soil quality index of an agricultural field
publisher Hindawi Limited
series Applied and Environmental Soil Science
issn 1687-7667
1687-7675
publishDate 2014-01-01
description A field investigation was carried out to evaluate the spatial variability of physical indicators of soil quality of an agricultural field and to construct a physical soil quality index (SQIP) map. Surface soil samples were collected using 10  m×10 m grid from an Inceptisol on Ganges Tidal Floodplain of Bangladesh. Five physical soil quality indicators, soil texture, bulk density, porosity, saturated hydraulic conductivity (KS), and aggregate stability (measured as mean weight diameter, MWD) were determined. The spatial structures of sand, clay, and KS were moderate but the structure was strong for silt, bulk density, porosity, and MWD. Each of the physical soil quality indicators was transformed into 0 and 1 using threshold criteria which are required for crop production. The transformed indicators were the combined into SQIP. The kriged SQIP map showed that the agricultural field studied could be divided into two parts having “good physical quality” and “poor physical soil quality.”
url http://dx.doi.org/10.1155/2014/379012
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