Empirical model and variability of soil salinity in the coastal zone of Bangladeshv

Soil salinity expressed by electrical conductivity is a threat to crop production. The study aims were to establish relationships of electrical conductivity with its relevant soil properties, and analyze variability of soil salinity in the coastal zone of Bangladesh. A total of 150 geo-referenced sa...

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Main Authors: Md. Shahadat Hossain, GKM Mustafizur Rahman, Md. Saiful Alam, HA Mashuk, Md. Mizanur Rahman
Format: Article
Language:English
Published: Federation of Eurasian Soil Science Societies 2019-04-01
Series:Eurasian Journal of Soil Science
Subjects:
Online Access:http://ejss.fesss.org/10.18393/ejss.541344
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author Md. Shahadat Hossain
GKM Mustafizur Rahman
Md. Saiful Alam
HA Mashuk
Md. Mizanur Rahman
author_facet Md. Shahadat Hossain
GKM Mustafizur Rahman
Md. Saiful Alam
HA Mashuk
Md. Mizanur Rahman
author_sort Md. Shahadat Hossain
collection DOAJ
description Soil salinity expressed by electrical conductivity is a threat to crop production. The study aims were to establish relationships of electrical conductivity with its relevant soil properties, and analyze variability of soil salinity in the coastal zone of Bangladesh. A total of 150 geo-referenced saline soil samples from three coastal districts (Khulna, Satkhira and Bhola) of Bangladesh were analyzed for electrical conductivity of saturated paste extract (ECe), salt cations and other soil properties related to salinity. Statistical and geostatistical analyses were done as required. Moderate to strong significant regression relationships (R2=0.42 to 0.94) were found between ECe and salt cations (ECe=43.12*Na2-46.36*Na+13.97; ECe=12.26*K-2.5;ECe=1.16*Ca-1.97; ECe=0.32*Mg2-1.60*Mg+3.53) of the soils. On the contrary, weak relationships (R2=0.05 to 0.21) were found between ECe and other soil properties (ECe=4.41*organic carbon-0.56; ECe=-1.71*Txw (soil texture)+3.98;ECe=0.35*cation exchange capacity-1.98; ECe=0.06*specific surface area-0.55). Khulna soils (CV=65.99%) showed lower statistical variations while Satkhira (CV=97%) and Bhola (CV=105%) soils showed higher statistical variations for ECe. In contrast, Khulna, Satkhira and Bhola soils showed strong, moderate and weak spatial dependency for ECe, respectively. Interpolated spatial distribution maps of ECe showed variations in individual districts of study areas. The findings would assist soil scientists or farm managers to understand and/or manage saline soils, specially the soils of coastal zone of Bangladesh.
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spelling doaj.art-b2437a3757fb482897928d62af35e0c92023-09-02T11:21:43ZengFederation of Eurasian Soil Science SocietiesEurasian Journal of Soil Science2147-42492147-42492019-04-018214415110.18393/ejss.541344Empirical model and variability of soil salinity in the coastal zone of BangladeshvMd. Shahadat Hossain0GKM Mustafizur Rahman1Md. Saiful Alam2HA Mashuk3Md. Mizanur Rahman4Department of Soil Science, Sylhet Agricultural University, Sylhet, BangladeshDepartment of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, BangladeshDepartment of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, BangladeshDepartment of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, BangladeshDepartment of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, BangladeshSoil salinity expressed by electrical conductivity is a threat to crop production. The study aims were to establish relationships of electrical conductivity with its relevant soil properties, and analyze variability of soil salinity in the coastal zone of Bangladesh. A total of 150 geo-referenced saline soil samples from three coastal districts (Khulna, Satkhira and Bhola) of Bangladesh were analyzed for electrical conductivity of saturated paste extract (ECe), salt cations and other soil properties related to salinity. Statistical and geostatistical analyses were done as required. Moderate to strong significant regression relationships (R2=0.42 to 0.94) were found between ECe and salt cations (ECe=43.12*Na2-46.36*Na+13.97; ECe=12.26*K-2.5;ECe=1.16*Ca-1.97; ECe=0.32*Mg2-1.60*Mg+3.53) of the soils. On the contrary, weak relationships (R2=0.05 to 0.21) were found between ECe and other soil properties (ECe=4.41*organic carbon-0.56; ECe=-1.71*Txw (soil texture)+3.98;ECe=0.35*cation exchange capacity-1.98; ECe=0.06*specific surface area-0.55). Khulna soils (CV=65.99%) showed lower statistical variations while Satkhira (CV=97%) and Bhola (CV=105%) soils showed higher statistical variations for ECe. In contrast, Khulna, Satkhira and Bhola soils showed strong, moderate and weak spatial dependency for ECe, respectively. Interpolated spatial distribution maps of ECe showed variations in individual districts of study areas. The findings would assist soil scientists or farm managers to understand and/or manage saline soils, specially the soils of coastal zone of Bangladesh.http://ejss.fesss.org/10.18393/ejss.541344Geostatisticselectrical conductivitymaprelationshipsoil property
spellingShingle Md. Shahadat Hossain
GKM Mustafizur Rahman
Md. Saiful Alam
HA Mashuk
Md. Mizanur Rahman
Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
Eurasian Journal of Soil Science
Geostatistics
electrical conductivity
map
relationship
soil property
title Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
title_full Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
title_fullStr Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
title_full_unstemmed Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
title_short Empirical model and variability of soil salinity in the coastal zone of Bangladeshv
title_sort empirical model and variability of soil salinity in the coastal zone of bangladeshv
topic Geostatistics
electrical conductivity
map
relationship
soil property
url http://ejss.fesss.org/10.18393/ejss.541344
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