Spatial variability of soil properties and delineation of management zones for Suketi basin, Himachal Himalaya, India

Praveen Kumar, Munish Sharma, Nagender Pal Butail, Arvind Kumar Shukla and Pardeep Kumar ()
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Praveen Kumar: CSKHPKV
Munish Sharma: CSKHPKV
Nagender Pal Butail: CSKHPKV
Arvind Kumar Shukla: ICAR-Indian Institute of Soil Science
Pardeep Kumar: CSKHPKV

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 6, No 18, 14113-14138

Abstract: Abstract Scientific information on the spatial variability of soil properties is critical for sustainable production and designing appropriate measures for efficient soil–crop management. The growing urban areas in fertile landscapes are a major concern experiencing a huge anthropogenic onslaught and lack of information on spatial variability of soil properties. Therefore, the present study was carried out to delineate the spatial distribution of some selected soil properties from Balh Valley and its catchment area (Suketi basin) in lower Himachal Himalaya, India. A total of 468 geo-referenced surface soil samples were collected and analyzed for soil pH, EC, OC; primary nutrients (N, P, K); secondary nutrients (Ca and Mg); and DTPA-extractable micronutrients (Zn, Fe, Mn and Cu)following standard procedures. The results showed a significant variation in soil pH (acidic to alkaline), EC (0.08–0.70 dS/m), OC (3–26 g/kg), major nutrients N (41.96–208.03 mg/kg), P (5.80–18.75 mg/kg), and K (53.57–163.64 mg/kg). Among micronutrients, Zn was found below the critical limit toward the extreme fringes of the basin. The data were analyzed with descriptive statistics and geostatistical approach. The spatial maps were prepared with ordinary kriging (OK) technique after semivariogram modeling and cross-validation approach. The five principal components (PCs) chosen depicted a moderate correlation between the calculated soil attributes. The two management zones (MZs) were derived by performing the fuzzy c-means clustering analysis based on fuzzy performance index (FPI) and normalized classification entropy (NCE) analysis. The spatial maps represent the distribution of soil properties in the valley and its catchment area. The information generated provides baseline data for site-specific fertilizer recommendations for precision agriculture and minimize downstream adverse environmental impact in the Himalayan ecosystem.

Keywords: Balh Valley; Catchment area; Fuzzy c-means clustering; Geostatistical analysis; Semivariogram analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03181-5

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