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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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Published in: | Global journal of environmental science and management 2020, Vol.6 (1), p.59-72 |
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creator | Ahmed, S Kayes, I Shahriar, S A Kabir, M M Salam, M A Mukul, S A |
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. |
doi_str_mv | 10.22034/gjesm.2020.01.05 |
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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.</description><identifier>ISSN: 2383-3572</identifier><identifier>EISSN: 2383-3866</identifier><identifier>DOI: 10.22034/gjesm.2020.01.05</identifier><language>eng</language><publisher>Tehran: Solid Waste Engineering and Management Association, Faculty of Environment, University of Tehran</publisher><subject>Agricultural land ; coastal agriculture and land use ; coastal soil ; Coastal zone ; Coasts ; Factorial design ; Fallow land ; Interpolation ; interpolation technique ; inverse distance weighted (idw) salinity ; Nitrogen ; Nutrient dynamics ; Nutrients ; Potassium ; Random sampling ; Salinity ; Salinity effects ; Soil depth ; Soil dynamics ; Soil investigations ; Soil nutrients ; Soil salinity ; Soil surfaces ; Soils ; Statistical sampling ; Sulfur</subject><ispartof>Global journal of environmental science and management, 2020, Vol.6 (1), p.59-72</ispartof><rights>2020. 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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.</description><subject>Agricultural land</subject><subject>coastal agriculture and land use</subject><subject>coastal soil</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Factorial design</subject><subject>Fallow land</subject><subject>Interpolation</subject><subject>interpolation technique</subject><subject>inverse distance weighted (idw) salinity</subject><subject>Nitrogen</subject><subject>Nutrient dynamics</subject><subject>Nutrients</subject><subject>Potassium</subject><subject>Random sampling</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Soil depth</subject><subject>Soil dynamics</subject><subject>Soil investigations</subject><subject>Soil nutrients</subject><subject>Soil salinity</subject><subject>Soil surfaces</subject><subject>Soils</subject><subject>Statistical sampling</subject><subject>Sulfur</subject><issn>2383-3572</issn><issn>2383-3866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNo1kMtqwzAQRU1poSHNB3Qn6Nru6GFZXpbQRyCQRdu1mehhZBwplZVF_r5u065mOAznXqYo7ilUjAEXj_1gp0PFgEEFtIL6qlgwrnjJlZTX_3vdsNtiNU0DANBayVbRRbF7j34kE44--HwmGAwJp5y8DXkiR8zZpkBwjKEnSIyfMgZtSZ_Q_JwQH4iOONORJNv7GO6KG4fjZFd_c1l8vjx_rN_K7e51s37aloaJNpfOtNIYQ6UDpjQIy6maAbcgnGYUhUApwUndWrkHy6SWNVM1Gtg7bh3jy2Jz8ZqIQ3dM_oDp3EX03S-Iqe8wZa9H2zWtauzezgKBgs7xLXXAmeBacNA1zq6Hi-uY4tfJTrkb4imFuX7HOJ-f1YJs-DccKGsm</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Ahmed, S</creator><creator>Kayes, I</creator><creator>Shahriar, S A</creator><creator>Kabir, M M</creator><creator>Salam, M A</creator><creator>Mukul, S A</creator><general>Solid Waste Engineering and Management Association, Faculty of Environment, University of Tehran</general><general>GJESM Publisher</general><scope>7TV</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope></search><sort><creationdate>2020</creationdate><title>Soil salinity and nutrients pattern along a distance gradient in coastal region</title><author>Ahmed, S ; Kayes, I ; Shahriar, S A ; Kabir, M M ; Salam, M A ; Mukul, S A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d249t-fd96ddd16f028c04e3186dd3e04fc21a44a660f6c9e6b0e26c65285ad0bf3ef23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural land</topic><topic>coastal agriculture and land use</topic><topic>coastal soil</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Factorial design</topic><topic>Fallow land</topic><topic>Interpolation</topic><topic>interpolation technique</topic><topic>inverse distance weighted (idw) salinity</topic><topic>Nitrogen</topic><topic>Nutrient dynamics</topic><topic>Nutrients</topic><topic>Potassium</topic><topic>Random sampling</topic><topic>Salinity</topic><topic>Salinity effects</topic><topic>Soil depth</topic><topic>Soil dynamics</topic><topic>Soil investigations</topic><topic>Soil nutrients</topic><topic>Soil salinity</topic><topic>Soil surfaces</topic><topic>Soils</topic><topic>Statistical sampling</topic><topic>Sulfur</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, S</creatorcontrib><creatorcontrib>Kayes, I</creatorcontrib><creatorcontrib>Shahriar, S A</creatorcontrib><creatorcontrib>Kabir, M M</creatorcontrib><creatorcontrib>Salam, M A</creatorcontrib><creatorcontrib>Mukul, S A</creatorcontrib><collection>Pollution Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Global journal of environmental science and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, S</au><au>Kayes, I</au><au>Shahriar, S A</au><au>Kabir, M M</au><au>Salam, M A</au><au>Mukul, S A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Soil salinity and nutrients pattern along a distance gradient in coastal region</atitle><jtitle>Global journal of environmental science and management</jtitle><date>2020</date><risdate>2020</risdate><volume>6</volume><issue>1</issue><spage>59</spage><epage>72</epage><pages>59-72</pages><issn>2383-3572</issn><eissn>2383-3866</eissn><abstract>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. 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subjects | Agricultural land coastal agriculture and land use coastal soil Coastal zone Coasts Factorial design Fallow land Interpolation interpolation technique inverse distance weighted (idw) salinity Nitrogen Nutrient dynamics Nutrients Potassium Random sampling Salinity Salinity effects Soil depth Soil dynamics Soil investigations Soil nutrients Soil salinity Soil surfaces Soils Statistical sampling Sulfur |
title | Soil salinity and nutrients pattern along a distance gradient in coastal region |
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