Effects of land use types on soil chemical properties in smallholder farmers of central highland Ethiopia.

Duguma, Lalisa; Hager, Herbert; Sieghardt, Monika

doi:10.4149/ekol_2010_01_1

Cited by 57 publications

(51 citation statements)

References 5 publications

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“…This may be explained by the fact that salinity caused by natural factors is strictly local and that its main sources are anthropogenic, i.e., mineral fertilizers. Similar results were published by other authors [35][36], who also demonstrated a significant effect of land use on selected physical and chemical properties of soils in the investigated areas. Moreover, soil properties are commonly used in the analysis of the impact of selected factors on soil quality [37][38][39][40][41][42][43][44][45].…”

Section: Impact Of Land Use On Soil Propertiessupporting

confidence: 80%

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Halecki¹,

Młyński²,

Ryczek³

et al. 2017

Pol. J. Environ. Stud.

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Spatial analysis is currently a popular research tool, particularly in studies that focus on soil properties, and it is important for a comprehensive presentation of results by means of spatial statistics techniques. Spatial autocorrelation determines a degree of relationship between variables for two specific spatial units (locations). This relationship is reflected by spatial dependence of investigated soil properties. Moran's I was used as a measure of spatial autocorrelation. Positive spatial autocorrelation was determined for soil salinity (electrical conductivity) and temperature. Thus, the aim of the study was to identify the factors affecting spatial correlation of electrical conductivity (EC) and temperature in farmland and forest-covered areas. A model of artificial neural network was based on salinity, as salinity reduces the amount of nutrients and soil temperature, thus inhibiting plant root growth. Our study revealed that the most effective parameters determining soil temperature were EC and moisture content. The best results in the EC model were achieved for soil moisture content, temperature, and soil texture. Both soil parameters were impacted by catchment land use. Spatial analysis of soil properties and identification of factors affecting their diversity may be helpful in determining proper land use -particularly of sustainable agricultural practices in mountain areas.

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Section: Impact Of Land Use On Soil Propertiessupporting

confidence: 80%

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Halecki¹,

Młyński²,

Ryczek³

et al. 2017

Pol. J. Environ. Stud.

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“…The SOC stock in the home garden was greater by 21.4 Mg ha −1 from the cropland. Consistently, SOC was higher in banana–coffee agroforestry than the cropland in Rwanda ( Wasige et al., ) and in the home garden in central Ethiopia ( Duguma et al., ) as compared to the respective annual croplands. Kim et al.…”

Section: Discussionmentioning

confidence: 76%

“…The SOC in the Eucalyptus woodlot and grazing lands did not differ from the home garden. SOC in the home garden was not different from Eucalyptus woodlot (Duguma et al, 2010), while the home garden had lower SOC content than smallholding grazing land (Kiflu and Beyene, 2013). Few studies investigated the influence of home garden on soil properties as compared with Eucalyptus woodlot or grazing land.…”

Section: Discussionmentioning

confidence: 96%

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Soil organic carbon and nutrients in smallholding land uses in southern Ethiopia

Lulu

Lemma

Melese

2019

J. Plant Nutr. Soil Sci.

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This study assessed the soil organic C (SOC) and soil nutrients in smallholding home garden, woodlot, grazing land, and cropland at two soil depths and two sites in Wolaita Zone, southern Ethiopia. The results showed that soil properties were significantly influenced by land use. The home garden had significantly higher (p < 0.05) SOC and soil nutrients when compared to the cropland. When the home garden was compared to the woodlot and grazing land uses, it had significantly higher (p < 0.05) values except in SOC, total N (TN), cation exchange capacity (CEC), and exchangeable Ca. Cropland, in comparison with grazing land and woodlot, had a non-significant difference except TN. The SOC stock (0-40 cm) in the home garden, woodlot, grazing land and cropland was 79.5, 68.0, 65.0, and 58.1 Mg ha -1 , respectively. Home garden significantly differed (p 0.05) in SOC only from cropland, and this was attributed not only to the relatively higher organic input in the home garden but also to the little organic matter input and frequently tillage of the cropland. The similar SOC among the home garden, woodlot and grazing lands may imply that the balance between inputs and outputs could be nearly similar for the land uses. Soil TN and CEC had a nearly similar pattern of difference as in SOC among the land uses because of their close relationship with SOC. In general, the land use influence on soil nutrients can be in the order: home garden > wood land grazing land cropland, with home garden showing the least difference from the woodlot and the greatest from the cropland. In the agroecosystem, in general, the influence of smallholding home garden on SOC and soil nutrient was marginally different from Eucalyptus woodlot and grazing lands but evidently different from cropland.

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“…Relative coefficient for the variation in SOC and soil N stock across agricultural land uses were computed by taking the maize land use as a reference [23].…”

Section: Sugar Canementioning

confidence: 99%

Soil Organic Carbon Storage, <i>N</i> Stock and Base Cations of Shade Coffee, Khat and Sugarcane for Andisols in South Ethiopia

Lemma¹

2018

OJSS

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In the Wondo Genet, Ethiopia, the common agricultural land uses include maize, shade coffee, khat and sugarcane. The objective of this study was to examine the impact of perennial land uses on soil organic carbon (SOC), soil N and base cations. Four sites having maize and one or two of perennial land uses and with similar site characteristics were identified for this study. Soils The soil N stock was 109% and 126% higher for the shade coffee than the maize land use while the absolute differences were 5.7 and 4.7 Mg•ha −1 for the same sites. Among perennials, the higher SOC storage in the shade coffee is attributable to the increased litter input and reduced soil disturbance in the system. While the higher soil N in the shade coffee was attributed to reduction of leaching, N uplift, and the increased litter quality and input. The high relative increase in shade coffee in SOC and soil N at Finance site was ascribed to the finer soil texture and low SOC and soil N at the compared adjacent maize farm. Although not significant, the relative increase in SOC (34%) and soil N (43%) in the sugarcane at the Finance as well as the relative increase in SOC (7%) and soil N (9%) in khat at Gotu as compared to Chaffee site was attributed to mainly the management differences. The shade coffee has the greatest potential for SOC storage and for increasing N stock, while khat and sugarcane have the least potential.

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Effects of land use types on soil chemical properties in smallholder farmers of central highland Ethiopia.

Cited by 57 publications

References 5 publications

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Soil organic carbon and nutrients in smallholding land uses in southern Ethiopia

Soil Organic Carbon Storage, <i>N</i> Stock and Base Cations of Shade Coffee, Khat and Sugarcane for Andisols in South Ethiopia

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Effects of land use types on soil chemical properties in smallholder farmers of central highland Ethiopia.

Cited by 57 publications

References 5 publications

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Applying an Artificial Neural Network (ANN) to Assess Soil Salinity and Temperature Variability in Agricultural Areas of a Mountain Catchment

Soil organic carbon and nutrients in smallholding land uses in southern Ethiopia

Soil Organic Carbon Storage, &lt;i&gt;N&lt;/i&gt; Stock and Base Cations of Shade Coffee, Khat and Sugarcane for Andisols in South Ethiopia

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Product

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Soil Organic Carbon Storage, <i>N</i> Stock and Base Cations of Shade Coffee, Khat and Sugarcane for Andisols in South Ethiopia