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

Year 2019, Volume: 8 Issue: 2, 144 - 151, 01.04.2019
https://doi.org/10.18393/ejss.541344

Abstract

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.

References

  • Ardahanlioglu, I., Oztas, T., Evren, S., Yilmaz, T., Yildrim, Z.N., 2003. Spatial variability of exchangeable sodium, electrical conductivity, soil pH and boron content in salt- and sodium-affected areas of the Igdir plain (Turkey). Journal of Arid Environment 54(3): 495-503.
  • Bouma, J., 1989. Using soil survey data for quantitative land evaluation. In: Advance Soil Science. Stewart B.A. (Eds.). Vol 9. Springer, New York, USA. pp. 177-213.
  • Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54(5): 464 - 465.
  • Cerato, A.B., Lutenegger A.J., 2002. Determination of surface area of fine-grained soils by the ethylene glycol monoethyl ether (EGME) Method. Geotechnical Testing Journal 25(2): 315-321.
  • De Benedetto, D., Castriganano, A., Sollitto, D., Modugno, F., Buttafuoco, G.,lo Papa, G., 2012. Integrating geophysical and geostatistical techniques to map the spatial variation of clay. Geoderma 171-172: 53-63.
  • Florinsky, I.V., Eilers, R.G., Lelyk, G.W., 2000. Prediction of soil salinity risk by digital terrain modeling in the Canadian prairies. Canadian Journal of Soil Science 80(3): 455-463.
  • Hamblin, A., 1991. Sustainable agricultural systems - What are the appropriate measures for soil structure. Australian Journal of Soil Research 29(6): 709-715.
  • Hossain, M.S., Rahman, G.K.M.M., Alam, M.S., Rahman, M.M., Solaiman, A.R.M, Baset Mia, M.A.,2018. Modelling of soil texture and its verification with related soil properties. Soil Research 56(4): 421-428.
  • Hu, W., Shao, A.M., Wan, L., Si, B.C.,2014. Spatial variability of soil electrical conductivity in a small watershed on the Loess Plateau of China. Geoderma 230-231: 212-220.
  • Isaak, E.H.,Srivastava, R.M., 1989. Applied Geostatistics, Oxford University Press, New York, USA. 561p.
  • Jackson, M.L., 1973. Soil Chemical Analysis. Prentice Hall of India Pvt. Ltd., New Delhi, India. 498p.
  • Jamil, A., Riaz, S., Ashraf, M., Foolad, M.R., 2011. Gene expression profiling of plants under salt stress. Critical Review of Plant Science 30(5): 435-458.
  • Juan, P., Mateu, J., Jordan, M.M., Mataix-Solera, J., Meléndez-Pastor I., Navarro-Pedreño J., 2011. Geostatistical methods to identify and map spatial variations of soil salinity. Journal of Geochemical Exploration 108(1): 62-72.
  • Kleinbaum, D.G., Kupper, L.L.,Muller, K.E., 1988. Applied regression analysis and other multivariate methods. 2nd Edition Duxbury Press, Belmont California, USA.
  • Manikandan, A., 2016. Effect of soil surface area on its reaction and electrical conductivity. National Conference on Innovation in Agri-biosciences, ICAR-Central Institute for Cotton Research, Nagpur, Maharashtra, India.
  • Mondal, M.K., Bhuiyan, S.I., Franco, D.T., 2001. Soil salinity reduction and prediction of salt dynamics in the coastal ricelands of Bangladesh. Agricultural Water Management 47(1): 9-23.
  • Nelson, D.W., Sommers, L.E., 1982. Total carbon, organic carbon, and organic matter. In: Methods of Soil Analysis, Part 2. Chemical and Microbiological Properties. Page, A.L, Miller, R.H., Keeney, D.R. (Eds.). 2nd Edition. Agronomy Monograph, vol. 9. ASA and SSSA, Madison, WI, USA. pp. 539-579.
  • Ravindran, K., Venkatesan, K., Balakrishnan, V., Chellappan, K., Balasubramanian, T., 2007. Restoration of saline land by halophytes for Indian soils. Soil Biology and Biochemistry 39(10): 2661-2664.
  • Rhoades, J.D., Chanduvi, F., Lesch, S., 1999. Soil salinity assessment: methods and ınterpretation of electrical conductivity measurement. FAO irrigation and drainage paper 57, FAO, Rome. USA. 12p.
  • Shirokova, Y., Forkutsa, I., Sharafutdinova, N., 2000. Use of electrical conductivity instead of soluble salts for soil salinity monitoring in Central Asia. Irrigation and Drainage System 14(3): 199–205.
  • Shrivastava, P., Kumar, R., 2015. Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation. Saudi Journal of Biological Sciences 22(2): 123–131.
  • Soil Survey Staff, 2011. Soil Survey Laboratory Information Manual. Soil Survey Investigations Report No. 45, Version 2.0. R. Burt (ed.). U.S. Department of Agriculture, Natural Resources Conservation Service.
  • Sonmez, S., Buyuktas, D., Okturen, F., Citak S., 2008. Assessment of different soil to water ratios (1:1, 1:2.5, 1:5) in soil salinity studies. Geoderma 144(1-2): 361-369.
  • SRDI (Soil Resource Development Institute), 2012. Saline Soils of Bangladesh. Soil Resources Development Institute, Ministry of Agriculture, Dhaka, Bangladesh
  • Sultan, K., 2006. Clay mineralogy of central Victorian (Creswick) soils: clay mineral contents as a possible tool of environmental indicator. Soil and Sediment Contamination: An International Journal 15 (4): 339-356.
  • Valente, D.S.M, de Queiroz, D.M., Pinto, F.A.C., Santos, N.T., Santos, F.L., 2012. The relationship between apparent soil electrical conductivity and soil properties. Revista Ciência Agronômica 43 (4): 683-690.
  • Vereecken, H., Schnepf, A., Hopmans, J. W., Javaux, M., Or, D., Roose, T., ... Tiktak, A., 2016. Modeling soil processes: review, key challenges and new perspective. Vadose Zone Journal 15 (5): 1-57.
  • Weisz, R., Fleischer, S., Smilowitz, Z., 1995. map generation in high-value horticultural ıntegrated pest management: appropriate ınterpolation methods for site-specific pest management of colorado potato beetle (Coleoptera: Chrysomelidae). Journal of Economic Entomology 88(6): 1650-1657.
  • Wӧsten, J.H.M., Pachepsky, Y.A.,Raws, W.J., 2001. Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. Journal of Hydrology 251(3-4): 123-150.
  • Zhang, H., Schroder, J.L., Pittman, J.J., Wang, J.J., Payton, M.E., 2005. Soil salinity using saturated paste and 1:1 soil to water extract. Soil Science Society of America Journal 69: 1146–1151.

Year 2019, Volume: 8 Issue: 2, 144 - 151, 01.04.2019
https://doi.org/10.18393/ejss.541344

Abstract

References

  • Ardahanlioglu, I., Oztas, T., Evren, S., Yilmaz, T., Yildrim, Z.N., 2003. Spatial variability of exchangeable sodium, electrical conductivity, soil pH and boron content in salt- and sodium-affected areas of the Igdir plain (Turkey). Journal of Arid Environment 54(3): 495-503.
  • Bouma, J., 1989. Using soil survey data for quantitative land evaluation. In: Advance Soil Science. Stewart B.A. (Eds.). Vol 9. Springer, New York, USA. pp. 177-213.
  • Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54(5): 464 - 465.
  • Cerato, A.B., Lutenegger A.J., 2002. Determination of surface area of fine-grained soils by the ethylene glycol monoethyl ether (EGME) Method. Geotechnical Testing Journal 25(2): 315-321.
  • De Benedetto, D., Castriganano, A., Sollitto, D., Modugno, F., Buttafuoco, G.,lo Papa, G., 2012. Integrating geophysical and geostatistical techniques to map the spatial variation of clay. Geoderma 171-172: 53-63.
  • Florinsky, I.V., Eilers, R.G., Lelyk, G.W., 2000. Prediction of soil salinity risk by digital terrain modeling in the Canadian prairies. Canadian Journal of Soil Science 80(3): 455-463.
  • Hamblin, A., 1991. Sustainable agricultural systems - What are the appropriate measures for soil structure. Australian Journal of Soil Research 29(6): 709-715.
  • Hossain, M.S., Rahman, G.K.M.M., Alam, M.S., Rahman, M.M., Solaiman, A.R.M, Baset Mia, M.A.,2018. Modelling of soil texture and its verification with related soil properties. Soil Research 56(4): 421-428.
  • Hu, W., Shao, A.M., Wan, L., Si, B.C.,2014. Spatial variability of soil electrical conductivity in a small watershed on the Loess Plateau of China. Geoderma 230-231: 212-220.
  • Isaak, E.H.,Srivastava, R.M., 1989. Applied Geostatistics, Oxford University Press, New York, USA. 561p.
  • Jackson, M.L., 1973. Soil Chemical Analysis. Prentice Hall of India Pvt. Ltd., New Delhi, India. 498p.
  • Jamil, A., Riaz, S., Ashraf, M., Foolad, M.R., 2011. Gene expression profiling of plants under salt stress. Critical Review of Plant Science 30(5): 435-458.
  • Juan, P., Mateu, J., Jordan, M.M., Mataix-Solera, J., Meléndez-Pastor I., Navarro-Pedreño J., 2011. Geostatistical methods to identify and map spatial variations of soil salinity. Journal of Geochemical Exploration 108(1): 62-72.
  • Kleinbaum, D.G., Kupper, L.L.,Muller, K.E., 1988. Applied regression analysis and other multivariate methods. 2nd Edition Duxbury Press, Belmont California, USA.
  • Manikandan, A., 2016. Effect of soil surface area on its reaction and electrical conductivity. National Conference on Innovation in Agri-biosciences, ICAR-Central Institute for Cotton Research, Nagpur, Maharashtra, India.
  • Mondal, M.K., Bhuiyan, S.I., Franco, D.T., 2001. Soil salinity reduction and prediction of salt dynamics in the coastal ricelands of Bangladesh. Agricultural Water Management 47(1): 9-23.
  • Nelson, D.W., Sommers, L.E., 1982. Total carbon, organic carbon, and organic matter. In: Methods of Soil Analysis, Part 2. Chemical and Microbiological Properties. Page, A.L, Miller, R.H., Keeney, D.R. (Eds.). 2nd Edition. Agronomy Monograph, vol. 9. ASA and SSSA, Madison, WI, USA. pp. 539-579.
  • Ravindran, K., Venkatesan, K., Balakrishnan, V., Chellappan, K., Balasubramanian, T., 2007. Restoration of saline land by halophytes for Indian soils. Soil Biology and Biochemistry 39(10): 2661-2664.
  • Rhoades, J.D., Chanduvi, F., Lesch, S., 1999. Soil salinity assessment: methods and ınterpretation of electrical conductivity measurement. FAO irrigation and drainage paper 57, FAO, Rome. USA. 12p.
  • Shirokova, Y., Forkutsa, I., Sharafutdinova, N., 2000. Use of electrical conductivity instead of soluble salts for soil salinity monitoring in Central Asia. Irrigation and Drainage System 14(3): 199–205.
  • Shrivastava, P., Kumar, R., 2015. Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation. Saudi Journal of Biological Sciences 22(2): 123–131.
  • Soil Survey Staff, 2011. Soil Survey Laboratory Information Manual. Soil Survey Investigations Report No. 45, Version 2.0. R. Burt (ed.). U.S. Department of Agriculture, Natural Resources Conservation Service.
  • Sonmez, S., Buyuktas, D., Okturen, F., Citak S., 2008. Assessment of different soil to water ratios (1:1, 1:2.5, 1:5) in soil salinity studies. Geoderma 144(1-2): 361-369.
  • SRDI (Soil Resource Development Institute), 2012. Saline Soils of Bangladesh. Soil Resources Development Institute, Ministry of Agriculture, Dhaka, Bangladesh
  • Sultan, K., 2006. Clay mineralogy of central Victorian (Creswick) soils: clay mineral contents as a possible tool of environmental indicator. Soil and Sediment Contamination: An International Journal 15 (4): 339-356.
  • Valente, D.S.M, de Queiroz, D.M., Pinto, F.A.C., Santos, N.T., Santos, F.L., 2012. The relationship between apparent soil electrical conductivity and soil properties. Revista Ciência Agronômica 43 (4): 683-690.
  • Vereecken, H., Schnepf, A., Hopmans, J. W., Javaux, M., Or, D., Roose, T., ... Tiktak, A., 2016. Modeling soil processes: review, key challenges and new perspective. Vadose Zone Journal 15 (5): 1-57.
  • Weisz, R., Fleischer, S., Smilowitz, Z., 1995. map generation in high-value horticultural ıntegrated pest management: appropriate ınterpolation methods for site-specific pest management of colorado potato beetle (Coleoptera: Chrysomelidae). Journal of Economic Entomology 88(6): 1650-1657.
  • Wӧsten, J.H.M., Pachepsky, Y.A.,Raws, W.J., 2001. Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. Journal of Hydrology 251(3-4): 123-150.
  • Zhang, H., Schroder, J.L., Pittman, J.J., Wang, J.J., Payton, M.E., 2005. Soil salinity using saturated paste and 1:1 soil to water extract. Soil Science Society of America Journal 69: 1146–1151.

Details

Primary Language English
Subjects Science
Journal Section Articles
Authors

Md. Shahadat Hossain This is me
Department of Soil Science, Sylhet Agricultural University, Sylhet, Bangladesh
Bangladesh


GKM Mustafizur Rahman This is me
Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
Bangladesh


Md. Saiful Alam This is me
Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
Bangladesh


HA Mashuk This is me
Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
Bangladesh


Md. Mizanur Rahman This is me
Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
Bangladesh

Publication Date April 1, 2019
Published in Issue Year 2019 Volume: 8 Issue: 2

Cite

Bibtex @research article { ejss541344, journal = {Eurasian Journal of Soil Science}, eissn = {2147-4249}, address = {}, publisher = {Avrasya Toprak Bilimleri Dernekleri Federasyonu}, year = {2019}, volume = {8}, number = {2}, pages = {144 - 151}, doi = {10.18393/ejss.541344}, title = {Empirical model and variability of soil salinity in the coastal zone of Bangladesh}, key = {cite}, author = {Hossain, Md. Shahadat and Rahman, GKM Mustafizur and Alam, Md. Saiful and Mashuk, HA and Rahman, Md. Mizanur} }
APA Hossain, M. S. , Rahman, G. M. , Alam, M. S. , Mashuk, H. & Rahman, M. M. (2019). Empirical model and variability of soil salinity in the coastal zone of Bangladesh . Eurasian Journal of Soil Science , 8 (2) , 144-151 . DOI: 10.18393/ejss.541344
MLA Hossain, M. S. , Rahman, G. M. , Alam, M. S. , Mashuk, H. , Rahman, M. M. "Empirical model and variability of soil salinity in the coastal zone of Bangladesh" . Eurasian Journal of Soil Science 8 (2019 ): 144-151 <https://dergipark.org.tr/en/pub/ejss/issue/42410/541344>
Chicago Hossain, M. S. , Rahman, G. M. , Alam, M. S. , Mashuk, H. , Rahman, M. M. "Empirical model and variability of soil salinity in the coastal zone of Bangladesh". Eurasian Journal of Soil Science 8 (2019 ): 144-151
RIS TY - JOUR T1 - Empirical model and variability of soil salinity in the coastal zone of Bangladesh AU - Md. ShahadatHossain, GKM MustafizurRahman, Md. SaifulAlam, HAMashuk, Md. MizanurRahman Y1 - 2019 PY - 2019 N1 - doi: 10.18393/ejss.541344 DO - 10.18393/ejss.541344 T2 - Eurasian Journal of Soil Science JF - Journal JO - JOR SP - 144 EP - 151 VL - 8 IS - 2 SN - -2147-4249 M3 - doi: 10.18393/ejss.541344 UR - https://doi.org/10.18393/ejss.541344 Y2 - 2019 ER -
EndNote %0 Eurasian Journal of Soil Science Empirical model and variability of soil salinity in the coastal zone of Bangladesh %A Md. Shahadat Hossain , GKM Mustafizur Rahman , Md. Saiful Alam , HA Mashuk , Md. Mizanur Rahman %T Empirical model and variability of soil salinity in the coastal zone of Bangladesh %D 2019 %J Eurasian Journal of Soil Science %P -2147-4249 %V 8 %N 2 %R doi: 10.18393/ejss.541344 %U 10.18393/ejss.541344
ISNAD Hossain, Md. Shahadat , Rahman, GKM Mustafizur , Alam, Md. Saiful , Mashuk, HA , Rahman, Md. Mizanur . "Empirical model and variability of soil salinity in the coastal zone of Bangladesh". Eurasian Journal of Soil Science 8 / 2 (April 2019): 144-151 . https://doi.org/10.18393/ejss.541344
AMA Hossain M. S. , Rahman G. M. , Alam M. S. , Mashuk H. , Rahman M. M. Empirical model and variability of soil salinity in the coastal zone of Bangladesh. EJSS. 2019; 8(2): 144-151.
Vancouver Hossain M. S. , Rahman G. M. , Alam M. S. , Mashuk H. , Rahman M. M. Empirical model and variability of soil salinity in the coastal zone of Bangladesh. Eurasian Journal of Soil Science. 2019; 8(2): 144-151.
IEEE M. S. Hossain , G. M. Rahman , M. S. Alam , H. Mashuk and M. M. Rahman , "Empirical model and variability of soil salinity in the coastal zone of Bangladesh", Eurasian Journal of Soil Science, vol. 8, no. 2, pp. 144-151, Apr. 2019, doi:10.18393/ejss.541344