Geostatistical Evaluation of Spatial Variability of Selected Soil Physical Properties under Different Crops in Ado Ekiti, Nigeria

Awe, Gabriel Oladele; Nurudeen, O. O.; Amiola, A. A.; Ojeniyi, G; Tutuola, T

doi:10.9734/ajsspn/2018/41181

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…Strong and MSD might be induced by inherent soil characteristics, including soil texture, topography, climate, and soil biology, whereas weak spatial structure may be caused by extrinsic factors, for example, land‐use practices (Awe, Nurudeen, Amiola, et al., 2018bib4; Awe, Nurudeen, Omotoso, et al., 2018; Awe et al., 2020). Strong spatial dependencies of soil characteristics could also be ascribed to climate, parent substances, topography, organisms, and time (Cambardella et al., 1994; Wang et al., 2009; Tesfahunegn et al., 2011).…”

Section: Resultsmentioning

confidence: 99%

Variability modeling and mapping of soil properties for improved management in Ethiopia

Tiruneh

Alemayehu

Meshesha

et al. 2023

Agrosystems Geosci & Env

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Managing soils for improved agricultural production requires information on soil fertility status. Our objective was to map for better soil management in Ethiopia and determine their spatial correlation at a separation distance of 29 m. We collected 82 soil samples (0–20 cm depth) at 560 ha of land and determined pH, Olsen extractable phosphorus (Olsen‐P), and organic carbon (OC). We then interpolated between sample points (ordinary kriging‐OK and distance weighting‐IDW [inverse distance weighting]) to evaluate spatial dependence. Olsen‐P ranged from 2.68–42 mg/kg and exhibited high variability with a coefficient of variation (CV) ≥35%. Conversely, soil pH showed low variability (CV ≤ 15%) and ranging from 4.84 to 6.81. Soil OC content varied from 0.81% to 3.17%. The IDW (R2 = 0.86; RMSE = 0.019) outperformed the OK. The semivariogram results indicate a strong dependence for pH and OC for spherical, exponential, and Gaussian models, while moderately spatially auto correlated for Olsen‐P for all models. The IDW and OK predict the spatial variability of the pH (moderately acidic), Olsen‐P (low), and OC (very low) contents. The soil maps may help to improve soil management alternatives, increase crop productivity, and secure environmental quality.

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Section: Resultsmentioning

confidence: 99%

Variability modeling and mapping of soil properties for improved management in Ethiopia

Tiruneh

Alemayehu

Meshesha

et al. 2023

Agrosystems Geosci & Env

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“…P. This result demonstrates a high spatial continuity and dependence between adjacent soil samples. Awe et al (2018aAwe et al ( , b, 2020a) also reported soil chemical properties showed moderate to strong spatial dependence. Strong and moderate spatial structure could be due to the influence of intrinsic soil properties such as soil texture, geology, climate, organism or time and weak spatial structure by extrinsic factors and processes, such as land 2 Semivariograms with fitted models for soil properties, i.e., (a1) pH, (b1) electrical conductivity, and (c1) exchangeable calcium management practices (Cambardella et al 1994;Warrick 1998;Yasrebi et al 2008;Parfitt et al 2009).…”

Section: Semivariograms and Evaluation Of The Geostatistical Interpolation Methodsmentioning

confidence: 94%

Spatial variability modeling of soil fertility for improved nutrient management in Northwest Ethiopia

et al. 2021

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In the study, two geostatistical methods-Ordinary Kriging (OK) and Least Distance Weighting (IDW)-were utilized to predict the spatial variability and distribution of soil properties for improved nutrient management in the Fogera plain, Northwest Ethiopia. In an area of 5646 ha, 60 composite soil samples were collected at a 0-20-cm soil depth and analyzed for soil pH, organic carbon (OC), total nitrogen (TN), available phosphorus (av.P), exchangeable calcium (Ca 2+ ), potassium (K + ), sodium (Na + ), and magnesium (Mg 2+ ), electrical conductivity (EC), and cation exchange capacity (CEC) using standard analytical procedures. The data were then incorporated into a GIS database and semi-variogram, and geostatistical analyses were performed with ArcGIS software version 10.5. Descriptive statistical treatments were applied using IBM Statistical Packages for Social Sciences (SPSS) software version 24. The performance of interpolation methods was assessed using the mean error (ME), root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), and coefficient of determination (R 2 ) extracted from cross-validation of predicted maps. Analysis of different semi-variogram models depicts different degrees of spatial dependence. An exponential model is detected for the soil pH, CEC, OC, and TN; a spherical one for EC and Ca 2+ ; a moderate one for soil K + ; and a weak spatial dependence for soil av. P. This result demonstrates a high spatial continuity and dependence between adjacent soil samples. The inverse distance weighting (IDW) and ordinary kriging (OK) models well described the variation of all soil fertility parameters except organic carbon (OC) and available phosphorus (av. P), which had low NSE (≤ 50%) for both IDW and OK methods. Consequently, the generated maps revealed that the spatial variability of soil properties was adequate to predict the values of soil fertility indicators in the non-sampled locations within the study area and similar regions. The geostatistical-based soil fertility maps will be helpful for farmers, researchers, and policymakers to improve soil management methods, optimize fertilization strategies, and enhance crop productivity. By means of the methodological approach applied, we have succeeded in demonstrating the strong spatial dependence of the studied soils; however, a particular attention to the implementation of site-specific soil management practices in the Fogera plain is essential.

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“…Next to N and P, potassium (K) is the third most important essential nutrient that limits plant productivity [25]. K increases crop yield and improve its quality.…”

Section: Exchangeable Potassium (K)mentioning

confidence: 99%

Chemical and Physical Properties of Soils in Mt. Apo and Mt. Hamiguitan, Mindanao, the Philippines

Daquiado

EBUÑA

Tabañag

et al. 2018

ASRJ

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Aims: The study was aimed to determine the edaphic qualities of two Long-Term Ecological Research (LTER) sites in Mindanao; Mt Apo in Cotabato and Mt. Hamiguitan in Davao Oriental, the Philippines Study Design: Random soil sampling within the plots Place and Duration of Study: Analyses of the soil samples collected from each site were performed at Soil and Plant Analysis Laboratory (SPAL), Central Mindanao University, Musuan, Bukidnon, the Philippines from October, 2012 to December 2013. Methodology: One hectare permanent plot was established in each site. Soil profile description was done in a pit measuring 1m wide, 1.5m long and 1m deep in each site. Soil samples for physicochemical characterization were collected within the plot. Soil physical properties included bulk density, particle density, soil texture and water holding capacity while the chemical properties included soil pH, organic matter, extractable P and exchangeable K contents using the methods employed at SPAL. Results: Results showed that the soils in Mt. Apo were extremely to very strongly acidic, had very high organic matter contents, slightly deficient to very deficient in extractable P, low to very high exchangeable K content, low particle and bulk density values, high porosity, moderate water holding capacity and moderately coarse to moderately fine-textured soils belonging to loamy textural class. On the other hand, the soils in Mt. Hamiguitan were slightly to very strongly acidic, contained adequate organic matter content, low extractable P, low exchangeable K, low particle and bulk density values, high porosity, moderate water holding capacity and are moderately fine to fine-textured belonging to loamy and clay textural classes. Generally, soils in Mt. Apo were more acidic but with relatively higher fertility status and comparable physical make-up with the soils in Mt. Hamiguitan. Conclusion: It was found that both sites have some soil constraints, particularly in terms of soil acidity and low nutrient availability to plants. Information obtained on this study revealed that identification of soil constraints are indispensable in formulating proper land use and conservation program.

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Geostatistical Evaluation of Spatial Variability of Selected Soil Physical Properties under Different Crops in Ado Ekiti, Nigeria

Cited by 7 publications

References 23 publications

Variability modeling and mapping of soil properties for improved management in Ethiopia

Variability modeling and mapping of soil properties for improved management in Ethiopia

Spatial variability modeling of soil fertility for improved nutrient management in Northwest Ethiopia

Chemical and Physical Properties of Soils in Mt. Apo and Mt. Hamiguitan, Mindanao, the Philippines

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