Quantifying spatial variability of soil properties in apple orchards of Kashmir, India, using geospatial techniques

Autor: J. A. Sofi, M Bhat, Tasneem Mubarak, Shabir Ahmad Mir, Owais Bashir, S.A. Bangroo
Rok vydání: 2021
Předmět:
Zdroj: Arabian Journal of Geosciences. 14
ISSN: 1866-7538
1866-7511
DOI: 10.1007/s12517-021-08457-6
Popis: Knowledge about quantifiable spatial variability and spread of the soil physico-chemical parameters is critical for elucidating the ecosystem functioning and designing the sustainable soil-plant-environment management practices. The spatial variability of soil parameters of apple orchards of Kashmir have not been reported so far. Therefore, the study examined the soil spatial distribution of selected soil properties through classical and ordinary kriging technique of geostatistical approach to acquire information for soil-crop specific nutrient management in the apple orchards of Kashmir. Soil samples based on topography, and land management zones identified through field observation and by the indigenous local farming knowledge were collected and analyzed for the various soil properties viz., pH, electrical conductivity (EC), organic carbon (OC), and available N, P, K, Ca, and Mg. The soil properties varied with a coefficient of variation (CV) ranging from 9.0% (pH) to 30.0% (OC). The average soil organic carbon (OC), nitrogen (N), available phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) were 1.17%, 251.7 kg ha−1, 17.58 kg ha−1, 193.9 kg ha−1, 501.1 mg kg−1, and 269.4 mg kg−1 respectively. The parameters of the semi-variogram (nugget/sill ratio, range, and slope) signified that the spatial variation of soil properties was mutually exclusive. The spatial distribution of soil parameters was plotted by ordinary kriging (OK) based on mean square error (MSE) values of spherical (pH, N, P, K, and Ca), exponential (EC and OC), and Gaussian (Mg) models. The results of degree of spatial dependence from the semi-variogram analyses indicated a strong (17.6%) to moderate (74.2%) dependence. This study signified a broad range of spatial soil variability as the interpolated maps exhibited clear gradient in pH (5.7–6.6), EC (0.57–0.64 dSm−1), OC (0.9–1.4%), N (200–320 kg ha−1), P (16–21 kg ha−1), K (120–280 kg ha−1), Ca (660–1690 kg kg−1), and Mg (370–890 kg kg−1) at regional-scale. Adoption of appropriate management practices like minimum tillage, variable fertilizer application, horti-forestry measures, and site-specific practices based on the generated interpolated soil maps is critical for sustainable management of orchard soils. The spatial distribution maps of soil properties produced by this study can be used as a baseline information and an efficient tool for farm planners and managers in orchard nutrient management.
Databáze: OpenAIRE
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