Catchment-scale spatial variability of soil properties and implications on site-specific soil management in northern Ethiopia

Tesfahunegn, Gebreyesus Brhane; Tamene, Lulseged; Vlek, Paul L. G.

doi:10.1016/j.still.2011.09.005

Cited by 145 publications

(90 citation statements)

References 45 publications

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“…The N content is not used to estimate K; however, especially for soils without fertilization, the existent N is mostly associated with OM. Nevertheless, nutrients decrease in soils that are more erodible, according to the literature (Tesfahunegn et al, 2011). The clay content also shows a negative correlation with K factor, as expected (Renard et al, 1997).…”

Section: Hj-biplotsupporting

confidence: 79%

“…The skewness results, which vary from −1.48 to 3.54 in this study, indicated that some soil properties of the different uses were not normally distributed, especially OM and N. The principal reason for some soil properties having nonnormally distributions may be related to soil management practices (Tesfahunegn et al, 2011). As already mentioned, data were transformed to normal distribution when necessary (see Table 1).…”

Section: Descriptive Statisticsmentioning

confidence: 69%

“…The variability of spatial soil properties can be influenced by natural factors (such as particle-size composition and topography) and anthropogenic factors (such as land cover or management practices) (Tesfahunegn et al, 2011). Sometimes, the effect of some factors is at least 1 order of magnitude greater (as topography or soil type) than the land use.…”

Section: Spatial Distributionmentioning

confidence: 99%

“…Classical statistics and geostatistics methods have been widely applied in studies about spatial distribution of soil properties (Pérez-Rodríguez et al, 2007, Tesfahunegn et al, 2011. Geostatistical techniques based on predictions and simulations have been used to describe areas where predicted information is established by a limited number of samples (Goovaerts, 1997).…”

Section: Introductionmentioning

confidence: 99%

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Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed

et al. 2015

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Abstract. The aim of this work is to investigate how the spatial variability of soil properties and soil erodibility (K factor) were affected by the changes in land use allowed by irrigation with water from a reservoir in a semiarid area. To this end, three areas representative of different land uses (agroforestry grassland, lucerne crop and olive orchard) were studied within a 900 ha farm. The interrelationships between variables were analyzed by multivariate techniques and extrapolated using geostatistics. The results confirmed differences between land uses for all properties analyzed, which was explained mainly by the existence of diverse management practices (tillage, fertilization and irrigation), vegetation cover and local soil characteristics. Soil organic matter, clay and nitrogen content decreased significantly, while the K factor increased with intensive cultivation. The HJ-Biplot methodology was used to represent the variation of soil erodibility properties grouped in land uses. Native grassland was the least correlated with the other land uses. The K factor demonstrated high correlation mainly with very fine sand and silt. The maps produced with geostatistics were crucial to understand the current spatial variability in the Alqueva region. Facing the intensification of land-use conversion, a sustainable management is needed to introduce protective measures to control soil erosion.

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Section: Hj-biplotsupporting

confidence: 79%

Section: Descriptive Statisticsmentioning

confidence: 69%

Section: Spatial Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed

et al. 2015

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“…Soil tillage is one of soil management practices [2] that could be subjected to variation based on bio-physical arrangements of the environment and become the influencing factor for soil quality. Spatial variation in soil quality as a result of tillage practice has been commonly observed [3] at watershed scale. Understanding of soil quality variation at watershed level would play an important role in locating homogenous sites that requires an immediate, careful and sustainable soil management practices.…”

Section: Introductionmentioning

confidence: 99%

Soil Quality Variation under Enset based Conservation Tillage and Cereal based Conventional Tillage System in Southern Highlands of Ethiopia

Ketema¹

2015

APAR

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With the objectives of assessing the variation of soil quality indicators; two land use types: Enset based conservation tillage system (EBCSTS) and Cereal based conventional tillage system (CBCVTS) were selected in Gedeo zone, Bule woreda, Southern Ethiopia. A total of 48 composite and undisturbed (for bulk density determination) soil samples (2 land use types_4 blocks_3 replication_2 soil depth: 0-15 cm and 15-30 cm) were collected for laboratory analysis. The result showed that soil textural fractions (sand, p<0.001; silt, p = 0.003 and clay = p = 0.001) and soil pH (p<0.001) significantly varied with land use types. Moreover, soil moisture content (p<0.001), bulk density (p = 0.016, p = 0.002), SOC (p<0.001), TN (p<0.001) and CEC (p<0.001, p = 0.001) have shown significant variation with land use types and soil depth respectively. Sand and clay were higher in EBCSTS and CBCVTS, respectively. Higher amount of sand fraction was observed under 0-15 cm on EBCSTS and 15-30 cm on CBCVTS land use types. Lower soil bulk density (g cm -3 ) and higher amount of SOC (%), TN (%), soil pH, CEC (meq/100g soil) and SMC (%) were observed at 0-15 cm soil layer under the EBCSTS. Soil bulk density (g cm -3 ), soil pH and SMC (%) increased while SOC (%), CEC (meq/100g soil) and TN (%) decreased with soil depth in both land use types. Improvement in the soil quality under EBCSTS was due to the presence of less soil disturbance coupled with higher addition of organic matter (SOM) in the soil. Thus, through implementing EBCSTS, it is possible to protect and maintain soil qualities for sustainable soil management and cropping practices in the area.

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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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Catchment-scale spatial variability of soil properties and implications on site-specific soil management in northern Ethiopia

Cited by 145 publications

References 45 publications

Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed

Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed

Soil Quality Variation under Enset based Conservation Tillage and Cereal based Conventional Tillage System in Southern Highlands of Ethiopia

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

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