Soil salinity and nutrients pattern along a distance gradient in coastal region

Soil salinity is considered as one of the major challenges in coastal agriculture in Bangladesh yet geographical extent of soil salinity and nutrients status have received little or no attention. This study investigated the patterns of soil salinity, total nitrogen, phosphorous, potassium and sulfur...

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Main Authors: S. Ahmed, I. Kayes, S.A. Shahriar, M. Kabir, M.A. Salam, S. Mukul
Format: Article
Language:English
Published: GJESM Publisher 2020-01-01
Series:Global Journal of Environmental Science and Management
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Online Access:https://www.gjesm.net/article_36642_8f394aa6954fda65316f295d93396242.pdf
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author S. Ahmed
I. Kayes
S.A. Shahriar
M. Kabir
M.A. Salam
S. Mukul
author_facet S. Ahmed
I. Kayes
S.A. Shahriar
M. Kabir
M.A. Salam
S. Mukul
author_sort S. Ahmed
collection DOAJ
description Soil salinity is considered as one of the major challenges in coastal agriculture in Bangladesh yet geographical extent of soil salinity and nutrients status have received little or no attention. This study investigated the patterns of soil salinity, total nitrogen, phosphorous, potassium and sulfur between agricultural and fallow land along a 90 km distance from the coastline in Noakhali, Bangladesh. Soil samples were collected from three depths (0, 10, and 30cm) in four different locations from coastline towards inland (0, 30, 60, and 90km) following a systematic random sampling. Soil salinity and total nitrogen, phosphorous, potassium and sulfur were analyzed by fitting fixed effect linear models for a full factorial design and then inverse distance weighted interpolation technique was applied to map spatial patterns of selected soil parameters. Highest soil salinity and sulfur were recorded in surface soils at coastline (0 km), whereas least in 90 km far from coastline. Soil depth resulted significant differences in phosphorous, potassium and showed significant interactions among the distant points. This study delineates the soil nutrients patterns and salinity as baseline information to explain salinity driven soil nutrient dynamics in coastal region of Bangladesh.
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institution Kabale University
issn 2383-3572
2383-3866
language English
publishDate 2020-01-01
publisher GJESM Publisher
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series Global Journal of Environmental Science and Management
spelling doaj-art-7987ebe6524a4124991f03243c430c5a2025-02-02T09:43:29ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662020-01-0161597210.22034/GJESM.2020.01.0536642Soil salinity and nutrients pattern along a distance gradient in coastal regionS. Ahmed0I. Kayes1S.A. Shahriar2M. Kabir3M.A. Salam4S. Mukul5Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali, BangladeshDepartment of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali, BangladeshDepartment of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali, BangladeshDepartment of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali, BangladeshDepartment of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali, BangladeshTropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore, Queensland, AustraliaSoil salinity is considered as one of the major challenges in coastal agriculture in Bangladesh yet geographical extent of soil salinity and nutrients status have received little or no attention. This study investigated the patterns of soil salinity, total nitrogen, phosphorous, potassium and sulfur between agricultural and fallow land along a 90 km distance from the coastline in Noakhali, Bangladesh. Soil samples were collected from three depths (0, 10, and 30cm) in four different locations from coastline towards inland (0, 30, 60, and 90km) following a systematic random sampling. Soil salinity and total nitrogen, phosphorous, potassium and sulfur were analyzed by fitting fixed effect linear models for a full factorial design and then inverse distance weighted interpolation technique was applied to map spatial patterns of selected soil parameters. Highest soil salinity and sulfur were recorded in surface soils at coastline (0 km), whereas least in 90 km far from coastline. Soil depth resulted significant differences in phosphorous, potassium and showed significant interactions among the distant points. This study delineates the soil nutrients patterns and salinity as baseline information to explain salinity driven soil nutrient dynamics in coastal region of Bangladesh.https://www.gjesm.net/article_36642_8f394aa6954fda65316f295d93396242.pdfcoastal soilcoastal agriculture and land useinterpolation techniqueinverse distance weighted (idw) salinitysoil nutrients
spellingShingle S. Ahmed
I. Kayes
S.A. Shahriar
M. Kabir
M.A. Salam
S. Mukul
Soil salinity and nutrients pattern along a distance gradient in coastal region
Global Journal of Environmental Science and Management
coastal soil
coastal agriculture and land use
interpolation technique
inverse distance weighted (idw) salinity
soil nutrients
title Soil salinity and nutrients pattern along a distance gradient in coastal region
title_full Soil salinity and nutrients pattern along a distance gradient in coastal region
title_fullStr Soil salinity and nutrients pattern along a distance gradient in coastal region
title_full_unstemmed Soil salinity and nutrients pattern along a distance gradient in coastal region
title_short Soil salinity and nutrients pattern along a distance gradient in coastal region
title_sort soil salinity and nutrients pattern along a distance gradient in coastal region
topic coastal soil
coastal agriculture and land use
interpolation technique
inverse distance weighted (idw) salinity
soil nutrients
url https://www.gjesm.net/article_36642_8f394aa6954fda65316f295d93396242.pdf
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AT ikayes soilsalinityandnutrientspatternalongadistancegradientincoastalregion
AT sashahriar soilsalinityandnutrientspatternalongadistancegradientincoastalregion
AT mkabir soilsalinityandnutrientspatternalongadistancegradientincoastalregion
AT masalam soilsalinityandnutrientspatternalongadistancegradientincoastalregion
AT smukul soilsalinityandnutrientspatternalongadistancegradientincoastalregion