Investigation and prediction spatial variability in chemical properties of agricultural soil using geostatistics

Nourzadeh, Mehdi; Mahdian, Mohammad; Malakouti, M. J.; Khavazi, K

doi:10.1080/03650340.2010.532124

Cited by 25 publications

(15 citation statements)

References 36 publications

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“…Variability among parameters was ascribed to (1) random pick-up of large number of data and (2) remarkably high variation of topography, management, land use types, and inherent properties like texture and pH. Similarly, in soil fertility survey researches, CV values ranging from 13 (bulk density and pH) to 585% (mineral N) [77], 0.3 (exchangeable K) to 118.64% (Zn) [78], and 5.37 (pH) to 100% (exchangeable K) [79] were reported.…”

Section: Variability Among Soil Parametersmentioning

confidence: 99%

Explaining Soil Fertility Heterogeneity in Smallholder Farms of Southern Ethiopia

Laekemariam

Kibret

2020

Applied and Environmental Soil Science

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Soil is spatially heterogeneous and needs site-specific management. However, soil nutrient information at larger scale in most cases is lacking. Consequently, fertilizer advisory services become dependent upon blanket recommendation approach. Subsequently, it affects yield and profitability. This study is aimed at explaining soil fertility heterogeneity in Wolaita zone, Southern Ethiopia. About 789 soil samples were collected to evaluate soil physical (color, particle size, and bulk density) and chemical properties (pH, OC, N, P, K, Ca, Mg, B, Cu, Fe, Mn, Zn, PBS, and CEC). The laser diffraction method for soil particles and mid-infrared diffused reflectance (MIR) spectral analysis for OC, TN, and CEC determination were employed. Mehlich-III extraction and inductively coupled plasma (ICP) spectrometer measurement were used for the remaining elements. The result based on principal component analysis showed that 52% of the total variations were explained by exchangeable bases, CEC, pH, available P, Cu, B, and particle sizes. Clay texture and acidic soil reaction are dominant. Soil parameters with the following ranges were found at low status: soil OC (0.2–6.9%), total N (0.01–0.7%), available P (0.1–238 mg/kg), S (4–30 mg/kg), B (0.01–6.9 mg/kg), and Cu (0.01–5.0 mg/kg). Besides, low levels of exchangeable Ca, Mg, and K (Mg-induced K deficiency) on 22, 34, and 54% soil samples, respectively, were recorded. The soil contained sufficient Fe, Zn, and Mn. In conclusion, the study aids in developing practical decision for optimum soil management interventions and overcomes lower productivity occurring due to fertilizer use that is not tailored to the local conditions. Overall, continuous cropping, low return of crop residues, and low and/or no fertilizer application might have caused the low status of N, P, K, S, B, and Cu. Therefore, application of inorganic fertilizers specific to the site, lime in acidic soils, and organic fertilizers are recommended to restore the soil fertility and improve crop productivity.

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Section: Variability Among Soil Parametersmentioning

confidence: 99%

Explaining Soil Fertility Heterogeneity in Smallholder Farms of Southern Ethiopia

Laekemariam

Kibret

2020

Applied and Environmental Soil Science

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“…In the analysis of soil data, because some important information about the area can remain hidden with such incomplete or insufficient analysis, the information obtained by classical statistical methods using only one variable can sometimes be insufficient in presenting the interactions between variables of data sets which have multivariate sources, or in reflecting the temporal and spatial changes of variables. Thus, multivariate statistical approaches such as multiple regression (Li & Lindstrom 2001), principal components analysis or factor analysis Brejda, Moorman, et al 2000), discriminant analysis Brejda, Moorman, et al 2000), and clustering analysis (Einax & Soldt 1999) which aim to assess the physical and chemical attributes of soil that affect plant productivity and fertility, and also studies which assess spatial variation have begun to be the basic issue that interests soil scientists recently (Nourzadeh et al 2012;Hillel 1991;Walder et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the physicochemical properties of alluvial and colluvial soils formed under ustic moisture regime using multivariate geostatistical techniques

Sağlam

2014

Archives of Agronomy and Soil Science

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The purpose of this study, which was carried out in the areas of Amasya Gökhöyük Agricultural Enterprise, Turkey, was to determine area management factors that will induce management practices unique to alluvial and colluvial areas using multivariate geostatistical techniques. Physical and chemical analyses were done for 224 soil samples taken at 0-30 cm depth from Entisol and Inceptisol soils. Based on the factor analysis results of the data set prepared, factors were determined, and these factors were named to as soil texture, soil organic matter, fertilization, and pH. While the texture factor accounted for the highest variability with 32.17% and the pH factor accounted for the lowest variability with 10.45%, the four factors together accounted for 79.17% of the total variance. According to the spatial distribution maps, soil texture and soil organic matter factors reached the highest values in alluvial areas close to Çekerek Creek while fertilization factor reached the highest values in colluvial areas. However, pH showed a relatively more homogenous distribution and reached its highest values in areas close to the transition zone of alluvial and colluvial areas. Based on these results, it can be seen that the aforementioned factors are the most important soil factors for these areas.

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“…Therefore, the present study will lead to locating spatial distributions of the elements in soil, site-specific pollution characteristics, and a summative indication of the elements grouping. These results are useful for a proper understanding of soil quality, draw significant conclusions on the topic of interest for the soil scientists [ 48 , 59 , 60 ], and promote a well-balanced agricultural use of areas in the future.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Metals Concentrations in Soils of Abu Dhabi Emirate Using Pollution Indices and Multivariate Statistics

Nazzal

Bărbulescu

Howari

et al. 2021

Toxics

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The aim of this study was twofold. Firstly, we performed a land capability class determination of the agricultural soils from the Abu Dhabi Emirate, the United Arab Emirates, based on the concentrations of 17 chemical elements determined in the soil samples collected from 84 locations. Secondly, we assess the soil pollution with different metals, using several pollution indices. The results of Principal Component Analysis (PCA) shows that four principal components (PCs) are responsible for describing the total metals concentrations’ variance, the highest contribution on PC1 being that of Mn, and Cr, on PC2 that of Fe, on PC3 that of Cu, and on PC4 that of Al. After determining the optimal number of clusters, we classified the sites into three clusters, while the studied metals were grouped function on their concentrations. Then, we used five indices to assess the pollution level of the soil at the study sites and in the clusters. The geo—accumulation index (Igeo) indicates uncontamination/moderately contamination with Cu in cluster 1, uncontaminated/moderately contaminate soils with Cd, Cu, and Ni in cluster 2, and uncontaminated/moderately contaminated soil with Cu and moderately contaminated with Pb, Zn, and Ni in cluster 3. By comparison, the enrichment factors overestimate the pollution of the studied sites. The pollution load index (PLI) indicates a baseline level of pollution at 14 sites and the deterioration of the soil quality at four sites. The Nemerow pollution index provides similar results as PLI.

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Investigation and prediction spatial variability in chemical properties of agricultural soil using geostatistics

Cited by 25 publications

References 36 publications

Explaining Soil Fertility Heterogeneity in Smallholder Farms of Southern Ethiopia

Explaining Soil Fertility Heterogeneity in Smallholder Farms of Southern Ethiopia

Evaluation of the physicochemical properties of alluvial and colluvial soils formed under ustic moisture regime using multivariate geostatistical techniques

Assessment of Metals Concentrations in Soils of Abu Dhabi Emirate Using Pollution Indices and Multivariate Statistics

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