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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/36222
Title: | Spatial variability of soil properties using geostatistical method: a case study of lower Brahmaputra plains, India |
Other Titles: | Not Available |
Authors: | S.K. Reza, Utpal Baruah, Dipak Sarkar and S.K. Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Bureau of Soil Survey and Land Use Planning |
Published/ Complete Date: | 2016-01-01 |
Project Code: | Not Available |
Keywords: | Spatial variability, Kriging, Semivariogram, Accuracy assessment, Soil properties |
Publisher: | Springer |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Soil properties like pH, organic carbon (OC), available nitrogen (AN), available phosphorus (AP), and available potassium (AK) vary spatially from a field to a larger region scale and determine the soil fertility. This study addressed the spatial variability of soil properties in Brahmaputra plains, northeastern India using geostatistical method. For this, a total of 767 soil samples from a depth of 0–25 cm at an approximate interval of 1 km were collected over the entire Bongaigaon district of Assam. Data were analyzed both statistically and geostatistically on the basis of semivariogram. Soil properties showed large variability with greatest variation was observed in AP (86 %) where as the smallest variation was in pH (19 %). The semivariogram for all soil properties were best fitted by exponential models and showed a highest (2.7 km) range for OC and lowest (1.2 km) for AP. The nugget/sill ratio indicates a strong dependence for pH (12 %), moderate spatial dependence for available nutrients (53–72 %) and a weak spatial dependence for OC (77 %). Evaluation of spatial maps indicated that except for AN due to high root mean square error (61.8), kriging could successfully interpolate other soil properties. Soil pH highly negatively correlated with OC (−0.330 * * ) and AN (−0.228 * * ) and highly positive correlated with AP (0.334 * * ) and AK (0.164 * * ). A highly significant correlation was also found between OC and AN (0.490 * * ) |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Arabian Journal of Geosciences |
NAAS Rating: | 7.33 |
Volume No.: | 9(6) |
Page Number: | 1-8 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | DOI 10.1007/s12517-016-2474-y |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/36222 |
Appears in Collections: | NRM-NBSSLUP-Publication |
Files in This Item:
File | Description | Size | Format | |
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Arabian Journal of Geosciences-2016-Spatial variability of soil properties using geostatistical method-a case study of Brahmaputra plains, India.pdf | 3.94 MB | Adobe PDF | View/Open |
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