Open AccessAssessment of Spatial Variability in Soil Properties of Nagalvadi Micro-Watershed using Geospatial Techniques for Site-Specific Agricultural Input Management in Wardha District of Maharashtra
Author(s) -
Nilima S. Sadanshiv,
M.S.S. Nagaraju,
J. D. Giri,
Rajeev Srivastava,
Jagdish Prasad,
N. G. Patil,
R. A. Nasre,
D. S. Mohekar
Publication year - 2019
Publication title -
agropedology
Language(s) - English
Resource type - Journals
ISSN - 0971-1570
DOI - 10.47114/j.agroped.2017.dec1
Subject(s) - silt , soil science , environmental science , cation exchange capacity , bulk density , soil test , total organic carbon , soil carbon , water content , pedotransfer function , spatial variability , soil water , hydrology (agriculture) , watershed , hydraulic conductivity , environmental chemistry , geology , mathematics , chemistry , geotechnical engineering , statistics , machine learning , computer science , paleontology
Soil sampling at many sites is costly and time consuming and hence warrants for predicting the soil properties at un-sampled location from sampled site using spatial dependence characteristics of soil properties through interpolation with reasonable accuracy. Soil samples (0 to 20 cm depth) were collected from a regular grid of 200 by 200 m from Nagalvadi micro-watershed of Wardha district, Maharashtra and analyzed for sand, silt, clay, bulk density, pH, organic carbon, cation exchange capacity, soil moisture retention at -33 kPa and -1500 kPa, available N, P, K and micronutrient cations. Soil thematic maps were generated using semivariogram analysis and ordinary kriging. Spatial variability in soil properties indicated that sand, silt, clay, bulk density, organic carbon, cation exchange capacity, moisture retention at -33 kPa, available N, Fe, and Zn have displayed moderate spatial dependence, whereas, soil pH and available Mn showed strong spatial dependence. Soil organic carbon and soil moisture retention at -33 kPa were spatially correlated for a short range. The kriged maps of soil properties and soil fertility generated are useful for better management decisions.