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Volume 7, issue 3
Solid Earth, 7, 979–993, 2016
https://doi.org/10.5194/se-7-979-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Solid Earth, 7, 979–993, 2016
https://doi.org/10.5194/se-7-979-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Jun 2016

Research article | 28 Jun 2016

Spatial variability of some soil properties varies in oil palm (Elaeis guineensis Jacq.) plantations of west coastal area of India

Sanjib Kumar Behera et al.

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Revised manuscript not accepted
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Cited articles

Agterberg, F. P.: Trend surface analysis, in: Spatial Statistics and Models, edited by: Gaile, G. L. and Willmott, C. J., Reidel, Dordrecht, The Netherlands, 174–171, 1984.
Behera, S. K. and Shukla, A. K.: Depth-wise distribution of zinc, copper, manganese and iron in acid soils of India and their relationship with some soil properties, J. Indian Soc. Soil Sci., 61, 244–252, 2013.
Behera, S. K. and Shukla, A. K.: Total and extractable manganese and iron in some cultivated acid soils of India – status, distribution and relationship with some soil properties, Pedosphere, 24, 196–208, 2014.
Behera, S. K. and Shukla, A. K.: Spatial distribution of surface soil acidity, electrical conductivity, soil organic carbon content and exchangeable potassium, calcium and magnesium in some cropped acid soils of India, Land Degrad. Dev., 26, 71–79, 2015.
Behera, S. K., Singh, M. V., Singh, K. N., and Todwal, S.: Distribution variability of total and extractable zinc in cultivated acid soils of India and their relationship with some selected soil properties, Geoderma, 162, 242–250, 2011.
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This study analyzed the spatial variability of some soil properties in surface and subsurface soil layers of oil palm plantations in the south Goa district of Goa situated in western coastal area of India. The studied soil properties in surface and subsurface layers varied widely. Geostatistical analysis revealed different spatial distribution patterns for the soil properties. The generated prediction maps are useful for site-specific soil nutrient management in the area.
This study analyzed the spatial variability of some soil properties in surface and subsurface...
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