Effects of different land use systems on selected soil properties in South Ethiopia

Kiflu, Alemayehu; Beyene, Sheleme

doi:10.5897/jssem2013.0380

Cited by 91 publications

(73 citation statements)

References 13 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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“…We found that national level policies, extreme climatic events, biotic stress, population increase (due to the combined effects of migration and natural increase), and urban expansion were major drivers of farming systems changes in the Hawassa area. At the local level, population growth, the expansion of urban areas, the biophysical conditions found in each district (in particular soil fertility (Kiflu & Beyene, 2013;Mellisse, Descheemaeker, Giller, Abebe, & van de Ven, 2018)) and the distance to markets influenced land cover/land use changes and farming systems. Per capita land and livestock numbers decreased for the three districts leading 1984, 1998, and 2014. to variable responses in farmers' livelihood strategies.…”

Section: Discussionmentioning

confidence: 99%

Drivers, farmers’ responses and landscape consequences of smallholder farming systems changes in southern Ethiopia

Kebede

Baudron²,

Bianchi

et al. 2019

International Journal of Agricultural Sustainability

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Ethiopia is now the second most populated country in Africa with more than 100 million people and an annual population growth rate of 3%. Here, we assess how the on-going expansion of arable land and urban areas is affecting the availability of common resources, such as forest and grazing land, and the availability of biomass for food, feed, and energy. Taking the Hawassa area in the Rift Valley of Ethiopia as a study case, this study aims at analysing the drivers of change of farming systems, assessing farmers' responses to these drivers and appreciating the consequences for the agricultural landscapes' composition. We found that (i) national-level policies, climate and soil fertility changes, population increase, and urban expansion were major drivers of farming systems change in the Hawassa area, (ii) forests and grasslands have been progressively replaced by cropland and urban areas, and (iii) these changes resulted in fragmentation and diversification of local agricultural landscapes with potential consequences for ecosystem service provision. Farmers responded with the following three main livelihood strategies: consolidation, diversification and specialization. These changes led to more diverse and fragmented agricultural landscapes. This research contributes to the ongoing debate about the viability of small farms.

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“…() found higher SOC stock in the home garden than sugarcane plantation in Ethiopia. In contrast, in the southern Ethiopia, Kiflu and Beyene () found similar SOC content in the home garden and cropland. In our study area, the organic matter input in the home garden includes manure and household refuse ( Laekemariam , ) as well as litter input from the perennial crops.…”

Section: Discussionmentioning

confidence: 92%

“…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: 95%

“…SOC increases AP due to ligand exchange of H 2

{PO}_{4}^{-}

from adsorption sites, and it also reduces P fixation by coating the surface of Fe/Al oxides in both soil types ( Materechera and Mkhabela , ). In home garden soils, high AP could be attributed to manure as well as ash application and the mineralization of organic matter ( Whalen et al., ; Pitman , ; Kiflu and Beyene , ). Since the SOC among home garden, grazing and woodlot lands were not different, the manure amendment in home garden may have contributed to the high AP ( Whalen et al., ).…”

Section: Discussionmentioning

confidence: 99%

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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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Effects of different land use systems on selected soil properties in South Ethiopia

Cited by 91 publications

References 13 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

Drivers, farmers’ responses and landscape consequences of smallholder farming systems changes in southern Ethiopia

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

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