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Spatial assessment of soil organic carbon and physicochemical properties in a horticultural orchard at arid zone of India using geostatistical approaches

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Title Spatial assessment of soil organic carbon and physicochemical properties in a horticultural orchard at arid zone of India using geostatistical approaches
 
Creator Akath Singh
Priyabrata Santra
Mahesh Kumar
Navraten Panwar
P. R. Meghwal
 
Subject Fruit orchard . Soil organic carbon . Arid and semi-arid region . Co-kriging . Uncertainty
 
Description Not Available
Soil organic carbon (SOC) is a major indicator of long-term sustenance of agricultural production
system. Apart from sustaining productivity, SOC plays a crucial role in context of climate change. Keeping in
mind these potentials, spatial variation of SOC contents of a fruit orchard comprising several arid fruit plantations located at arid region of India is assessed in this study through geostatistical approaches. For this purpose, surface and subsurface soil samples from 175 locations from a fruit orchard spreading over 14.33 ha
area were collected along with geographical coordinates. SOC content and soil physicochemical properties
of collected soil samples were determined followed by geostatistical analysis for mapping purposes. Average
SOC stock density of the orchard was 14.48 Mg ha−1 for 0- to 30-cm soil layer ranging from 9.01 Mg ha−1 in
Carissa carandas to 19.52 Mg ha−1 in Prosopis cineraria block. Range of spatial variation of SOC content
was found about 100 m, while two other soil physicochemical properties, e.g., pH and electrical conductivity
(EC) also showed similar spatial trend. This indicated that minimum sampling distance for future SOC mapping
programme may be kept lower than 100 m for better accuracy. Ordinary kriging technique satisfactorily
predicted SOC contents (in percent) at unsampled locations with root-mean-squared residual (RMSR) of
0.35–0.37. Co-kriging approach was found slightly superior (RMSR = 0.26–0.28) than ordinary kriging for
spatial prediction of SOC contents because of significant correlations of SOC contents with pH and EC.
Uncertainty of SOC estimation was also presented in terms of 90 % confidence interval. Spatial estimates of
SOC stock through ordinary kriging or co-kriging approach were also found with low uncertainty of estimation
than non-spatial estimates, e.g., arithmetic averaging approach. Among different fruit block plantations of
the orchard, the block with Prosopis cineraria (‘khejri’) has higher SOC stock density than others
Not Available
 
Date 2019-05-14T11:46:11Z
2019-05-14T11:46:11Z
2016-08-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/19478
 
Language English
 
Relation Not Available;
 
Publisher Not Available