Research Article | | Peer-Reviewed

Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia

Received: 18 November 2025     Accepted: 8 December 2025     Published: 26 January 2026
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Abstract

Soil is the vital natural resource; it has been provides multiple functions and services which is considered as a fundamental for all life live in and on the Earth surface and in the atmosphere. Mathematically soil is the subset of land whereas the land is the subset of earth and soil is expressed in terms of depth. Geological erosion is occurred under natural conditions such as undistributed watershed natural forests; then, soil formation and its losses by erosion agents are at equilibrium while excluding acceleration erosion. But as a result of anthropogenic impacts soil is seriously impaired and hampered the basic livelihoods of the human-being. This study will be entitled with: effects of graded stone bund on chemical, physical and biological soil properties: the case of west Harareghe zonal watershed, Oromia Region, Ethiopia. This study will be carrying out to alleviate the problems of site matching and past mistakes of structural SWC measures by doing these objectives: to examine the trends and variations of graded stone bunds on soil physical, chemical and biological properties in comparison to control and homestead land uses and to be work on transferring the homestead or farmstead land use technologies to other land uses based on the final results. This experimental research will be design by using complete block randomized design (CRBD) method of the Latin square design. The stated hypotheses will be proof by use 0.01 significance level. Five Woreda from west Harareghe zone will be selects purposefully based on the preliminary surveying, having a model watershed. The total of 450 composite and the total of 450 separate soil samples will be collects for laboratory analysis, to examine soil BD and MC respectively under this study. The second data will be used to determine soil texture on filed using of field testing methods by making composite soil samples; then the total of 150 composite samples will be obtain to test soil texture on the field. Data will be subjected to SPSS or SAS computer based software and analyzed. The correlation of their variations and no variations will be testing by using chi square, student t test, and F-test of multivariate of GLM. Also they will be study the relationship between the study parameters by use person’s correlations.

Published in Research and Innovation (Volume 2, Issue 2)
DOI 10.11648/j.ri.20260202.15
Page(s) 144-160
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Graded Stone Bund, Farmstead/Homestead Land Uses, Soil Properties, Separate and Composite Samples, Watershed and SWC

1. Introduction
1.1. Background and Justification
Degradation of natural resource are sever and the demands of the needs are increasing at global scale. They are the burden issues in every country, particularly in developing countries such as Ethiopia. How to make a balance and survive on this planet? Because on the other hand population growth are increasing in an exponential rate at global scale. For instance land degradation is increasing for the last 60 years while soil is already degraded and the land only left. The past study done by had reported that, and assessed that at global scale; this degraded land host about 75% of the world population and out of four people three where live in agriculture. So restoration of degraded land into previous functions and service are 100 fold it is costly as compare to preventions because of no ways of Universal standard procedures to assess, understand and achieved what they will be expect from it.
Soil is a vital natural resource that the survival and sustainable of all life are depend on this crucial natural resource. The development of societies’ and their basic livelihoods are depending on soil resource . Soil resource is considered as a renewable natural resource when properly managed and conserved otherwise it is a finite natural resource, because it can be restored back on human timescale. when lost by erosion it can be recover rapidly if use the better soil and water conservation measures and management practices and the fertility of a soil can be restored within a few years; so that soil is a renewable natural resource .
Soil is the source of prosperity and after this 211st century human-being and soil resource cannot live by isolating themselves alone . Satisfaction of ever increasing population and their needs of interest of the demand for agricultural production would accommodated by implementing an intensive agricultural cultivation rather than implementing an extensive agricultural practices of cultivation to survive and satisfy the current demands; because in the coming of 2050 the world total population will be reach about nine point one billion (9.1billoin), however the current cultivated land will be feed and satisfy these number of population in the future . Another factor is, based on this study the world population growth rate per decade will be one billion (1bllion). On the other hand; soil fertility is hampered by soil degradation due to different erosion agents such as water and wind erosion . In addition to that, these authors had supposed that, land degradation become threat to agricultural productivity in sub-Saharan Africa and it is accelerating the declining of soil fertilities and crop yields decline and per capita of food production in Africa.
Soil erosion is caused the major problems of degradation of land, soil, water and agricultural production and productivity in Ethiopia including the current drought. Those authors had said that, the Ethiopian population increases by the rate of 3 percent per year which is another issue of the country that is affects the livelihoods of the communities that are depend on agriculture for the whole of its economy. Hence, cannot be adopt alternative source of income generation like others African countries easily.
Soil erosion issue is hindered the natural resources development and in consequences it is deteriorates soil resource by provision of on-site and off-site effects. On site effects are occurs in the agricultural land resource and include: decline of topsoil, and exposure of subsoil, loss of organic matter and humus, loss of soil moisture, compaction of soil, disaggregation of soil particles, decline of crop yields and soil structure. Off-site effects are occurring out of agricultural lands and include such as: sedimentation, water pollutions, land slide, mudding, and flooding .
Agricultural land is not only an indispensable natural resource of the welfare of the society’s that is dependent on it, but also the backbone of the Ethiopian economy that had been reported. On the other hand according to these studies, land degradation in the form of soil erosion, soil fertility depletion, deforestation of vegetation covers through clearance of vegetation covers for cultivation of food crops and overgrazing are the basic problems that are facing farmers in the Ethiopian highlands.
Erosion is the evil hazards of land and soil degradation. Based on the past study done; it was estimated that about 42 t/ha/year or 4mm depth of soil was losses per annual in Ethiopian crop lands of the highlands. In despite of that, on individual field the rate of soil losses was estimated about 300t/ha/year which exceeds the rate of soil formation . The annual decline of land productivity in the highlands of Ethiopia was recorded about 2.2% which occurred by erosion. At national-level the study was carried out in Ethiopia in the mid-of 1980s, and it was estimated that soil erosion was removed about 20,000 to 30,000 ha of croplands annually .
The Ethiopian highlands were affected via with sedimentation, soil erosion, and deforestation, which resulted in decline of soil fertility and soil properties, depletion of topsoil and water resources, loss of biodiversity, and decline of production and productivity of agricultural land and pasture lands. Whatever the degree of the issues had occurred and damaged, the Ethiopian government during the socialist regime were enforced the local people in massive since, 1973/1974 to prevent chronic food problems that were occurred in the country by the provision of incentive as a food-for-work to control erosion and sedimentation. The regime was gave the greatest focus and attention at that time for the adoption and practices of soil and water conservation programmes and the programmes were did at that time were more focused on structural SWC measures and tree planting activities or afforestation and re-afforestation.
Soil in the Harareghe highlands are varies at a short distances . Soil variability over short distance is a common once in the highlands of Harareghe regions (both west and east Harareghe regions) because of variations in climate conditions, topography and vegetation diversity. In addition to that, this study had reported that about 13 soil types were observed in 234 ha of catchment area alone in the Harareghe highlands .
Implementation of the same soil and water conservation practices without testing physico-chemical soil properties without exclude the biological soil properties such as soil microorganisms and soil biodiversity in the west Harareghe highlands were the common and burden issues currently to prevent and control soil erosion and sedimentation . But, Harareghe highland topography has rugged and mountainous by nature which is very steep slope. The erosion originated on it has damaged the hillside fertile agricultural land and waterbodies by sedimentation, fragmented stones and alluvial soil depositions. These issues always requires or calls for argent SWC measures particularly in the upland stream watersheds by carry out such study research proposed and find the best alternative solutions based on the end results of output .
1.2. Statement of the Problem
Soil erosion by water, wind, gravitational forces and mechanical such as on cultivation land are severally degraded soil, land and water resources and their cumulative impacts are resulted in low agricultural yield and environmental pollution which increases climate change, greenhouse gas effects and global warming . Moreover, the author had revealed that structural SWC measures constructed to control runoff, soil losses, nutrient leaching and enhance recharge of ground water, ground water table and improve agricultural production that had not change the condition particularly in developing counties; because, of population pressures and the needs of the current demands that are caused imbalance in the developing countries are continues. So that, site matching with agro-climatic conditions, soil types, and topography are the major problems for interventions of SWC technologies.
Rugged and mountainous characteristics of the Harareghe highlands with large plains of the lowland areas are the nature that are accelerated soil erosion, sedimentation and flood of anthropogenic activities. Erratic and scarce rainfall patterns of Harareghe highlands, middle lands and lowlands were resulted to poor crop yields. The middle lands and highlands of the altitude belt are vastly covered with cultivated agricultural lands due to the area has densely populated and then, the scarcity of landholding size the common problem that leads to deep erosion .
Even if Ethiopia has the richest country in biodiversity till not manipulated and utilized in a sustainable development of the watershed natural resources based; particularly forest resources and their overexploitation is everywhere . Deforestation of a forest covers both plantation and natural forests are a common phenomenon in the world without excluded the African continents for instance, Ethiopian deforestation is an exemplary once for African and the whole world constituents . A common factors influencing forest deforestation are population pressure, socioeconomic constrains and extensive farming practices in the country. On the other hand, Ethiopian rapid population growth rate relies on the fragile and marginal natural resources for their basic livelihood of security. Rainfall patterns currently affects the farming systems and fluctuates in crop production and sometimes happened the food crises due to high prices in the country .
Several past studies were leaved the vast gaps when they were studied the biological, chemical and physical soil properties for instance the studies had not been seen SWC measures with site matching of topography, agro-climatic conditions, soil types, and cultivation systems either, manual or by machine and its improper construction . One of the gap that was leaved by past study was improper and mismatching of the structural SWC measures and tree planting activities. SWC such as stone bunds and soil bunds were built to control runoff, soil loss, and nutrient depletion and yield decline, But, they were not implemented properly and by matching with soil types, agro-climatic conditions and topography. As an exemplary, a few of them were include: graded and level stone bunds that were constructed to stored soil losses and sediments about 58t/ha/year in the basin and increase 53% of crop yield in the lower part of the plot . The study done in northern Ethiopia Tigray region had indicated that the yield increase about 0.58 to 0.65 /ha. The Study done at southern Ethiopia Bokole watershed had showed that level soil bunds and graded stone bunds were improved about 79.1% and 87.1% of crops yield on the upper and lower stream watersheds, respectively . One of the most important statistical study is starting the statement of the problems that are to be showing the gaps to be exists clearly and to be correct any mistakes did with the past studies . Therefore, this study will be completely different from several studies did in the past in the west Harareghe zone, Oromia region and the entire Ethiopian regions; because of it looks and compares these factors the effects of graded stone bunds treated land uses or none conserved land uses and homestead land uses on chemical, physical and biological properties of soils. Moreover, it will be study site matching and site un-matching of graded stone bunds, improper construction of GSTBs and transferring of homestead land use technologies to other areas of land uses based on the outcomes of the study results. The other factors under this study will be include: studying of the arrangement, grown species types and yields obtain from homestead treated, graded stone bund treated and control land uses by owner of the land uses; field testing of soil texture, soil bulk density by the method of buoyance force and field parameters measurements for graded stone bunds such as ties interval, height, upper and bottom width, space between successive bunds, basin depth and width both the upper and bottom. Also it will be work on the known and understand of species diversity found in the homestead farmland uses by conducting simple species inventory or identification by observation and recording their names.
Therefore, this study will be proposed to observe the problems of site matching and improper construction of soil and water conservation structural practices and compare with farmstead land uses, treated land uses with graded stone bund and none-treated land uses and to transfer farmstead technologies to other farm land uses based on the finding of the study, to give the training to local people or farmers and DA, expertise and to create awareness to local people and professionals about the maintenance of GSTBs and importance of homestead land use practices. It will serve as a welcome for the next generation who will want to study on similar study. Thus, it will be an open study research but not the closed study research.
Moreover, the study will be guide and show the direction how it will proposed how to see the gaps of the past studies, what and why will be study for the future for those who are use this study proposal.
1.3. Objectives of the Study
1.3.1. General Objective of the Study
The general objective of this research study will be observing the effects of graded stone bunds on physical, biological and chemical properties of soil in comparison to homestead and control land uses of Gemachis/Chiro, Beddessa and Doba/Tullo Districts of the community watersheds, West Harareghe Zone, Oromia Regional National State, Ethiopia.
1.3.2. Specific Objectives
1) To examine the trends and variations of graded stone bunds on physical, chemical and biological soil properties in comparison to control and homestead land uses.
2) To be work on transferring the homestead land use technologies to other land uses based on the final results.
3) To investigate variations of soil texture under GSTBs, HSFLs and CFLs by use field testing methods.
4) To evaluate the parameters by measures their design and layout of the GSTBs (basin space, height, width, tie intervals, space between success bunds).
5) To identify the species grow by types by observation and record their names or by use simple species inventory method , example by use direct counting of species
1.4. Hypotheses of the study
A statistical hypothesis is a statement that is describes about the measurable parameters or model of parameters of probability distribution. It reflects about the situation of the problem in conjunction or conjecture. The general procedures in hypotheses testing is to specify a value of the probability of type I- error α, when Ho it is false often called the significance level of the test, and then, the design of the test procedures; so that the probability of type -I1 error β has a small value . The philosophy of this study will be proving the stated objectives, questionnaires and the hypotheses at the significance level of α 0.01 or 99% confidence intervals and called the specified value of the probability of type I -error-α when Ho is true but it is rejected. Statistical study of alternative hypothesis is a two sided hypothesis; the reason is that it is true and accepted if and only if µo>µ or µo<µ. To be testing the hypotheses either rejected or accepted it requires the statistical procedures of random sampling, determining an appropriate test statistics and then finally rejecting the null hypothesis, Ho: µo=µ .
There are two kinds of errors may be occurred when testing the proposed hypotheses by the researcher. If the null hypothesis is rejected when it is true, then, a type I error has occurred whereas if the null hypothesis is not rejected when it is false, a type I1 error has been made. The probabilities of these two errors are show as below:
a = P (type I error) = P (reject Ho I Ho is true) and
P = P (type I1 error) = P (fai1 to reject Ho I Ho is false). Sometimes it is more convenient to work with the power of the test, where Power = 1 - p = P (reject Ho 1 Ho is false) . The general procedures testing the hypothesis is to specify a value of the probability of type I error a, often called the significance level of the test, and then design the test procedure so that the probability of type I1 error β is small value . Statement of the hypotheses for the experimental design as below: There are no variations between the factors that will be studying about the effects of GSTBs treated lad uses, control land uses and homestead land uses on physical, chemical, and biological soil properties and yields. Thus, Ho: µo=µ when Ho is true and type I error α has occurred. There are a variations between the factors that will be studying about the effects of GSTBs treated lad uses, control land uses and homestead land uses on physical, chemical, and biological soil properties and yields. Ha: µo ≠ µ if at least one mean is different when Ho is false and type II error β has occurred.
1.5. Scope of the Study
The scope of this study will be covers: biological, physical and chemical soil properties for the land uses treated with GSTBs, farmstead land uses and control land uses; because of a comparison study; Identification of species in homestead grown and their arrangement in spatial and temporal variations including their inventory. Field soil texture testing. Determination of parameters measurement for graded stone bund. Determination of soil BD and MC. Sample collections, preparation of soil for laboratory analysis and writing up the draft and final report. It will be measure for graded stone bund design and layout and measurement of yield and collection of a secondary data.
1.6. Importance of the Study
It will be see the gaps existed and not yet studied by several researchers in the past; specifically deal on soil properties, site matching and past mistakes during construction of the graded stone bunds either appropriate or inappropriate for the selected watersheds from Chiro and Doba, Gemichise, Beddessa and Tullo middle land altitude with soil types, topography and agro-climatic conditions. It will show the limitation of control lands, treated lands and farmstead land uses.
1.7. Beneficiary Groups
It will be assures teaching-learning processes in the university particularly in OBU. Both governmental and non-governmental organizational employers who are working and learning in this field of specialization they will be befits. It will be provide great benefits for agricultural extensions and farmers to solve the problems of soil nutrients and adoption of technologies. The farmers who will be taking the responsibilities of guarding and marinating the structures are largely benefits from their services in the first hand. It will be provides an information about soil inputs and management practices (i.e. excess and limited soil properties including the soil fertility). Moreover it will be teaching the professionals on working in the OBU both in cooperative and collaborative working al-together and learning from each other to update themselves in their professionals.
2. Materials and Methods
2.1. Description of the Study Area
West Harareghe zone boundary of the lie of the land is geographically located between 8°39'59.99'' N latitude and 40°29'59.99'' E longitude from the equator (Figures 1 and 2). The land of study areas although lies within the zone of demarcation from the equator Figure 2.
Figure 1. Shows the Study Zone, District(s) and Zone.
Figure 2. Shows the Study Zone and Watershed(s).
Geographical lie of the land of Chiro administration demarcation is lie between 9°00’ to 9°15’ N latitude and 40°45’ to 41°00’ E longitude from the equator. Geographical lie of the land of Doba administration demarcation between 9°15’ to 9°30’ N latitude and 41°00’ to 41°15’ E longitude .
The study done by had revealed that altitude of Harareghe zone (east and west Harareghe zones) range from the lowest 1000 m to the highest 3400m a. s. l. (Gara Muleta).
2.1.1. Climate of the Study Area
The mean maximum temperature of the Ethiopia is 45 which covers from April to September and 40 from October to March are recorded in the Qafar Depression Valley north-east Ethiopia. The mean maximum temperature in the hot area of the country north-western lowlands is 40 in June and the western and south-eastern lowlands have experiences the mean maximum temperature 35-40 in April. The lowest mean minimum temperature is 4 especially at night the lower temperature is recorded in highlands while in valley bottoms occasionally the ground frost is recorded. The annual average rainfall in Ethiopia is grouped into three: 1200 to 1600mm in lowlands, 1600 to 2600mm in midlands and > 3000mm in the highlands .
The past study conducted by had reported that, Ethiopia has five agro-climatic zones which is defined by altitude and temperature. According to this study; West Harareghe zone laid under the warm to cool semi-arid zone of the country which covers the temperate of highlands of the altitude ranges from 1500m to 2500m a, s. l, The annual average temperature vary from 16 to20, while the annual average rainfall vary from 1200mm to 2400mm; this is exclude the long drought seasons and present erratic climate change in the west Harareghe zone currently occurred. In addition to this , had been shown that, the annual average RF fall from <700mm in lowlands (Kolla or Gemojji) to 1200mm in Dega or Bedda and Weyna Dega or BeddaDare agro-climatic conditions. Based on this study the west Harareghe zone and the selected study districts are laid within this ranges of agro-climatic conditions, while the long term annual average rainfall is 550mm .
In general, bimodal RF pattern is common in eastern, central and northern areas of the country. Depend on this discover west Harareghe zone is the welcome area of this bimodal RF pattern of Awash basin type of rainfall. The major RF receives from the Atlantic Oceans and some of it from Indian Oceans. The longest rainy seasons and the most important for agricultural work and crop growing covers from June to September which bring from Atlantic oceans whereas the shortest rainy seasons is the spring which covers from February to may; receives from Indian oceans. In total the economy of west Harareghe zone is depend on the second rainy seasons. The field trip study carried out by [34, 28], had reported that, the west Harareghe zone (including the east Harareghe zone) the agro-climatic conditions is divided into three categories: lowland (arid and semi-arid or Kolla) is range from 30-40%, midland (semi-humid or weyna Dega) is covers 35-45% whereas the highlands (cool and humid or Dega) is covers 15-20% and cold and moist (Wurech). Spring or belg crop production is limited to Dega and Weyna Dega areas only and the spring rainy seasons is used for land preparation and to grow long cycle meher crops such as maize and sorghum and maize and spring crops such as bean and maize in mixed and, barely; root crops like potato and vegetables.
Concerning rainfall pattern and distribution in Ethiopia the eastern and south-eastern plateau and the escarpment of the country is referred as “Region C” which obtains the rainfall in spring, summer and autumn. Rainfall occurred from February to November in highland areas whereas in low lying areas from March to November. During rainy seasons precipitation is more than ½ PET .
Agro-climatic classification of the watershed topographic map or altitude belt of classification of the west Harareghe zone’s altitude classified into three categories: 501-1500m a. s. l. is Kolla or Gamojji climate, 1501-2500m a. s. l. is WeynaDega or BeddaDaree climate and 2501-4500m a. s. l. is Dega or Bedda climate .
The altitude of the Chiro District (AsebTefere District) it is ranges between the elevations of 398m to 2800m a. s. l. . The Doba District altitude according to had revealed that on topographic map; it is ranges between elevations of 204m to 2320m a. s. l.
Erratic rainfall pattern in the Harareghe highlands is currently a common issue due to the alarming change of climate of the zone with population pressures and extending of scarce land size to fulfill the household subsistence by deforestation on steepy slope of fragmented and patches of the remnant forests for agricultural cultivation and growing crops with perennial shrubs as a source of income generation Catha/Katha edulis). For instance, since 2002/1984 maize crops were died in Meher season but sorghum crops were survived as a result of drought resistant crop . But, for these 6 to 7 years 2007 while to know the pattern of rainfall is the reverse of the past.
GIS based soil erosion assessment for conservation planning study in west and east Harareghe zones had been shown that the mean annual rainfall is accounted to 1290.34mm. According to these authors study the maximum monthly rainfall is estimated about 600mm in wet season of the august in particular while the minimum monthly rainfall is approximately nil in dry seasons of January and February months. Moreover, these authors had showed that approximately about 90% of rain occurs during the second rainy seasons which are very important for crops growing than the first rainy seasons of the zones and it plays crucial role on the livelihoods of the local population . The maximum and minimum average temperatures of these two zones west and east Harareghe are 30.06°C and 4.44°C, respectively .
2.1.2. Soil Types of the Study Area
Table 1. Area Coverage of Different Soil Types in Ethiopia.

Soil types

Area covers

Soil types

Area covers

Soil types

Area covers

Soil types

Area covers

Lithic leptosols

208,882.4

Fibric histosols

2776.2

Humic alisols

21,299.0

Solonetz

165.4

Humic nitisols

134, 722.0

Haplic lixisols

1954.0

Haplic solonchaks

19,285.1

Dystric nitisols

134.2

Eutric vertisols

115,207.5

Calcic vertisols

1905.1

Vertic cambisols

15,968.0

Sodic solonchaks

132.7

Eutric leptosols

71,268.6

Salic fluvisols

1841.9

Dystric leptosols

13,446.4

Fluvisols

94.1

Chromic luvisols

58, 748.6

Luvic phaeozems

1714.5

Haplic alisols

11,376.6

Rhodic ferralsols

72.4

Haplic calcisols

53, 117.6

Calcic chernozems

1427.9

Calcaric regosols

8031.8

Gelysols

63.7

Petric calcisols

51,510.5

Calcaric cambisols

1188.6

Haplic nitisols

6168.2

Rhodic nitisols

61.6

Eutric cambisols

50,268.4

Haplic arenosols

878.5

Calcaric fluvisols

5306.3

Haplic aerisols

27.8

Haplic cypsisols

46,305.2

Vertic luvisols

851.4

Cambic arenosols

5120.7

Solonchaks

14.7

Rendzic leptosols

44,315.0

Orthic solonochaks

519.0

Eutric regosols

4733.6

Calcisols

8.6

Eutric fluvisols

42,256.9

Gleyic solonochaks

393.3

Vitric andosols

3854.0

Cambisols

5.3

Petric cypsisols

39,481.7

Calcaric arenosols

343.0

Dystric vertisols

3437.1

Umbric leptosols

4.1

Chromic cambisols

38,710.5

Leptosols

192.6

Mollic andosols

3185.4

Haplic xerosols

3.2

Haplic luvisols

28,224.5

Luvic calcisols

171.9

Haplic phaeozems

2997.3

Ferric luvisols

2.6

Dystric cambisols

1.4

Water bodies

7643.8

Dystric regosols

2.2

Source:
The Major Ethiopian soil types and their areas coverage in square kilometer Table 1 above . The preceding study in Ethiopia done by had revealed that, 19 major soil types are found which is grouped into three types. These are Lithosol cover 163, 185 (14.7%) km2, Fuvisols cover 882, 61.5 km2 (7.9%) and Luvisols cover 640, 63.5 km2 (5.8%) areas. Hence, as this study had express soil types in Ethiopia; soil types in west Harareghe zone, study districts and watersheds are grouped under these three major groups of soil types.
The soil types of west Harareghe zone and the study Districts are found within the ranges of these 59 major types of Ethiopian soils classes.
2.1.3. Land Use/Land Cover
Land use is refers to manmade and the land occurred in nature. The first is aesthetic of the landscape features; designed and made by human being for instance land in urban areas and cultivation land are manmade and forest lands natural land, respectively, whereas land cover refers to land size and the unit expressed by ha, or acre in types or in variations. Ethiopian massive land has 1221480 km2 (122148000ha) area; and the major land uses and land covers are 1115000 km2 (111500000ha): 14.7% cultivation land, 56.9% grazing and browsing land, 11.7% forestland and 18.7% wasteland . Landsat satellite images of 1972-1979 in Ethiopia had indicated that, land covers are encompasses 12 types: namely cultivated lands, urban and build-up, afro and sub-afro alpine vegetation, forestland, woodland, riparian land, bush land, shrub land, grassland, wetland, bare land and wasteland .
2.1.4. Vegetation Covers
In eastern Oromia national regional state of eastern Ethiopia particular west and east Harareghe zones of vegetation covers of natural forest were severely degraded during the Feudalism Regime. Degradation of vegetation covers was adversely affected in quality and quantity by deforestation for whatever purposes. However, during the Socialism Regime all the degraded areas of natural forests were reafforested with plantation forests by that government to alleviate the problems of food chronic since, 1973 to 1974s in Ethiopia with the help of food -for-work programmes in 1980s as special case even if the programmes far ahead, since 1970s. Since, 1980s the programmes was reformed itself and begun at watershed base.
Vast of the agricultural lands held by a few of Feudalisms Royal families who had considered themselves as a landlord as historical evidences were indicated and landless local people were encroached the steep slopes or hilly mountainous and then, begun to vacant the forest covers and grown food crops who had been disagreement with Feudalism who were held the land resources by monopolization and displaced the people and who had empowerment. These were the main reasons for today degradation of the land even though treated during Dreg Regime because of the Fuado Burglarize Pathogen of the Feudalism impacts on forest covers. Moreover, Ethio-Italy sawmill installed at Zegita Tullo Woreda of west Harareghe zone of Oromia regional national state of Ethiopia during the feudalism regime was another major factor of the Ethiopian forest degradation and soil erosion and sedimentation down hillside of fertile agricultural lands and water bodies were affected in consequence.
2.1.5. Farming Systems
In Harareghe region both the eastern and western farmers practice the same practices. The common farming system in eastern Ethiopia are mixed farming system which are refers to cultivation of crops for staple food and cash crops for market and animal rearing in special husbandry; they feed using cut and carry system during the rainy seasons of the whole seasons and in partial during dry seasons. This indigenous type of animal feeding is created and adapted by local people from the hardship faced them as a result of lack of communal and private grazing lands, land holding size is smaller per household. The average landholding size per HH is 0.5ha compare to the Oromia national regional state of 1.14ha; while compare to the national average of 1.01ha and 0.6 head of livestock. Generally, small landholders have <0.1 to 0.5ha and bigger landholders have >2ha in the Harareghe zone. These ranges include the west Harareghe zone.
The common agronomic practices in the zone includes: mixed cropping, relay cropping, row cropping, and strip cropping between Katha/Catha edulis planation, row monocropping and a few of a variety of strip cropping. However, the most dominant cropping are maze monocropping and sorghum and maize crops in mixture with bean crops are always practice year to year.
The common farming system is mixed-crops with-livestock farming and in rare with traditional agroforestry. Specifically, mixed cropping, intensive monoculture, strip planting, homestead planting and relay cropping are the common practices in the west Harareghe zone including the study districts and watersheds. The rural and semi-town people that live in the zone are use free grazing during dry seasons and in the restricted areas because of they are no grazing land ; the past grazing land such as swampy and wetlands presently converted into agricultural lands. Densely populated people in the zone are the main causes for these practices and problems occurred. Common staple food crops are grains and cereals such as maize, sorghum, barely, teff, and wheat. Oil crops sesame, and pluses. Coffee, and Catha edulis are the major perennial cash crops and a few fruit cash crops include, orange, avocado and, mango. Root crops onion, carrot, and sugar bit .
2.1.6. Topography
Watershed topography is the architecture aesthetic value of the landscape features. It is described by the slope of the land. Scientists and different literatures are described watershed topography is based on the land slopes. Landscape features in west Harareghe zone and the study districts including the study watersheds are rugged, mountainous and classified the same as classification of topography of Ethiopian. Topography in Ethiopia has five classes; these are 0-10% which held lowlands (703000km2) area of the country (less than 15000m a. s. l.) including the flat plain of highland plateau and the valley bottoms. The rests of the classes are found in Ethiopian highlands 11-25%, 26-35%, 36-50% and >50 which occupy the large areas .
Table 2. General Description of Land Topography.

Slope classes%

Description

0-5/3-8

Flat slope

8-15

Steep slope

15-30

Hilly

30-50

Rolling

>50

Mountainous

Source: SWC teaching course.
2.2. Methodology
2.2.1. Preliminary Field Surveying
Basic information will be collect before conduct the collection of necessary data and study the proposed problems from five Woreda Gemichse Tullo, Chiro, Beddessa and Doba Woreda offices. This information include, farming systems and their management practices, vegetation covers and, developmental access, topography, model watersheds having homestead practices, and graded stone bund. Considered all factors are a constant factors except the factors that are included in the experimental design and layout; do not change the study problems.
2.2.2. Experimental Design and Sampling Techniques
The merit of the experiment is directs the comparisons between treatments of interests; minimize any bias in the comparisons to design experiments. So that, the errors in the comparison is small and to make stronger the inferences about the nature of differences that we see in the experiment . This experimental design will be involves: three treatments, one watershed per Woreda, two soil depths for sample collection and planned on five Woreda. The treatments are farmstead or homestead, graded stone bund and control land uses. The experiment will be repeat three times.
The study will be consider three factors of comparison with repeated measurements to obtain individual changes of patterns. The past study had been proofed statistically; the statistical design of experiments by refers to the process of planning the experiment. So that, the appropriate data that can be analyzed by statistical methods will be collecting, resulting in valid objectives, conclusions and reach on an applicable recommendations . When the problem involves data that are subjected to experimental errors, statistical methodology is the only objective of the approach to analysis the data or the analysis of the data is the only method of reducing an error. According to his argument thus, there are two aspects to any experimental problems: the design of the experiment and the statistical analysis of the data. Based, on this references as quantified and reported; there are three basic principles of experimental design: replication, randomization, and blocking. By replication meaning a repetition of the basic experiment in order to approach the accuracy and reduce biasness of errors.
Table 3. Gemachis/Chiro District.

A

B

A

B

C

C

C

A

B

Collection of soil samples from 0-30cm of soil depth and total factors are 9. The design is using Latin square model.
Table 3. Continue.

A

B

C

B

C

A

C

A

B

Soil samples collection from 30-60 cm of soil depth and total factors 9. The design is using Latin square model.
Table 4. Doba/Tullo Districts.

1

2

2

2

3

1

3

1

3

Soil samples collection from 0-30cm of soil depth and total factors are 9. The design is using Latin square model.
Table 4. Continue.

1

2

5

2

3

1

3

1

4

Soil samples collection from 30-60cm of soil depth and total factors are 9. The design is using Latin square model.
Table 5. Beddessa District.

A

B

B

B

C

A

C

A

A

Soil samples collection from 0-30cm of soil depth and total factors are 9. The design is using Latin square model.
Table 5. Continue.

A

B

B

B

C

A

C

A

C

Soil samples collection from 0-30cm of soil depth and total factors are 9. The design is using Latin square model.
In general soil samples will be collects from 0-30cm and 30-60cm soil depth. The total factors will be 3 replication x 3factors = 9 factors. From graded store bunds per EU they will design twenty seven observation unit per EU, nine sample plot or strip plot per EU and the total of 18 composite soil samples x3factors =54 composite soil samples and 54 separate soil samples to determine soil MC and BD will be collects. The second samples will be make composite and use to analyze on the field for soil texture testing (3 samples make 1 composite sample) and the total of 18 composite samples will be make from land uses treated with graded stone bund. From homestead and control land uses Ethen (18) observation unit per EU from three sample plots and three OU per sample plot will be collects 6 composite soil samples. The total of 6 composite samples x 6factors = 36 composite soil samples and also 36 separate soil samples to determine soil MC and BD will be collects which later on they will be used to analyze soil texture using field testing method (s). Then if 3 soil samples make 1 composite soil sample) the total will be 12 composite samples make from homestead and control land uses.
The grand total of soil sample per watershed per Woreda will be, 90 composite soil samples and 90 separate soil samples will be collects for the analysis of laboratory, analysis of soil BD and MC respectively. Thus, from five Woreda 90 composite soil samples x 5 Woreda =450 composite soil samples and 450 separate soil samples will be collects for this study. Later on the separate soil samples used to determine soil MC and BD will used to test soil texture by use the composite soil samples make that the three samples I separate collected make one composites soil samples. The 450 separate soil samples give 150 composite soil samples. Or else (18+12) x 5 Woreda=150 composite soil samples.
2.2.3. Source of Variables
These are known and controlled for both dependent variables called in this case soil properties and independent variables are soil depth, graded stone bund control land uses and farmstead land uses; so that the appropriate statistical analysis for such comparison study is the blocking method is preferable. Hence, with the help of the fact of this CRBD and giving an equal chance of probability for all treatments while they will be collects unequal samples from treatments even if give equal chance because different sample plots and different number of observation units will be uses and collects the required samples of data for this experimental design.
In support to this method in his statistical study had said that when the nuisance source of variability is known and controllable, a design technique called blocking can be used to systematically eliminate its effects on the statistical comparisons among treatments. The main reasons of collecting soil samples and testing both in the field and laboratory are to understand the soil properties or essential elements that are held by the soils such as soil colloidal, and crusts . The ultimate purposes of soil sample collections and testing are doing through application of soil surveying to conserve and manage properly without missing the fundamental of soil functions and the environment.
2.2.4. Statistical Analysis of Model
An experiment is characterized by the treatments and experimental units to be used, the way treatments are assigned to units, and the responses that are measured .
y=i =treatments 1, 2, 3j=observation=1, 2, , n
The “mean” of the population underlying a random variable X is defined as the expected value of X:
Ẋ=i=1nXin
Where X bar is mean of the sample population and xi is parameters of measured of sample population, i is number factors to be measured and n is number of jth observation unit.
Sample median:Ÿ=n+12 if n is odd number
Ÿ=Yn2+Yn2+12 if n is even number
Population variance: σ2=S2=i=1NYi+Ẏ2n-1
Population standard deviation: δ=S=S2
Medain Absoult Devation MAD=Sample MAD=Median=Yi-Median
Cofficient of Variation CV=Sample CV=SẎ×100
Standard error of Ẏσẏ=Sẏ=Sn
95% confidence interval μ=Ẏ-t0.05n-1SnμẎ+t0.05n-1Sn
Table 6. Analysis of Variance Table for a Multiple Linear Regression Model with an Intercept, p Predictor Variables and n Observations.

Source of variation

SS

Df

MS

Regression

i=1nYi̇-Ÿ2

P

i=1nYi̇-Ÿ2/p

Residual

i=1nYi-Yi̇2

N-p-1

i=1nYi-Yi̇2/n-p-1

Total

i=1nYi-Ÿ2

N-1

Mean deviation: mean deviation =X-X̀N
2.3. Source of Data
Both primary and secondary data are considered as a source of our data for this study. Primary source of a data will be collects directly from the field by the help of observation and experiment whereas secondary source of data will be collects from the Woreda of NRM offices and agricultural extension offices, books, journals, magazine, thesis, and internets.
2.4. Data Collection Methods
The aim of researches both qualitative and quantitative they will be conduct to solve the problems of the society. For that matter it requires concrete data which are help to upscale in this case the technologies of SWC measures and to improve or to change in a new once as to control erosion, runoff and sedimentation and to improve the production of the soil. Changing is possible if and only if the introduced technologies are not appropriate with agro-climatic conditions of the site, soil type and topography. That is why? Any study will be carrying out to correct the mistakes in layout or site mismatching of SWC technologies that is not appropriate with site and not enough during intervention might be introduce only to develop watershed and not for other aims for instance, if improper design and layout did during the construction must be correct through study.
In order to understand the significance of GSTBs on soil physico-chemical properties and agricultural production and productivity in comparison to homestead and control lands requires a collection of representative soil samples using augur or core sampler and testing in the field and in the laboratory are significant. But the methods of data collection should already proposed and wrote in detail under the design of experiment.
2.5. Data Analysis of the study
Statistical analysis is use to quantify and evaluate the source of variations and this can be achieved through the association of Linear Models either univariate or multivariate General Linear Models The data has been analyzed using three central tendencies namely Mode, Median and Mean of descriptive statistics . The out results will be expressed and presented using descriptive statistics of variance, standard deviation, standard error and mean deviation.
Laboratory analyzed report of the data will be subjected to computer based software of SAS 20 version or SPSS 24 version and carry out statistical analysis of data. GLM/Multivariate/ multiple-way of analysis of variance/ multiple-way of ANOVA/ will be used to observe the positive and negative correlations existed between dependent and independent variables. It will be seeing the relationships between dependent variables such as SOC and BD, MC, soil texture and pH value using person’s correlation. For more clarification the results shall be display using statistical description such as table, chart and bar graph. Moreover, display by histogram, box plot (or box and whisker plot), and dot diagram plus discrete or continues normal distribution. In despite of that to observe the significance of limitation available between parameters; they will proof by using: student t-test independent normal distribution, F-test independent normal distribution, and chi-square test of independent normal distribution (NID) of statistical methods .
2.6. Soil Data Preparation and Analysis
Data preparation requires: impurities separation, crushing of large colds using hammer and grinded using pestle and mortar, sieve by use 2mm diameter sieve and measure the required weight, label, packed and supply to laboratory testing . However, for field soil texture testing do not needs such preparation except impurities separation or clean of the data.
Determination of soil texture is testing in the laboratory by following the procedures of international pipette method or mechanical analysis . The method is encompasses two step of testing: dispersion of soils and determination of distribution of soil particle size by sedimentation method which is refers to Stoke Laws. Soil bulk density is expressed by weight per volume of augur or core sampler. It plays a crucial role to understand soil health, soil biodiversity and the ability to work easily. Field beam balance is used to measure both oven dry and wet weight of the soil samples. Dry weight is measured after dried using oven dry for 24hours at 105°C or after dried using air seasoning for 2 to 3 or (2 to 4) weeks depends on sample wetness . It is calibrated as described below:
Where, soil bulk density and V is the volume of core sampler or augur.
Soil structure is influenced by three factors of soil textural arrangement. Soil structure is doing in the field by opening soil profile up to 2m depth and 1m width and observe through photo capture and rope tied method. This method also helps to determine soil colors of each soil layer . Soil color is influencing by iron oxide and aluminum oxide and its determination of soil color by the procedure of Mussel chart . Each site of the study watershed should be captured photograph and come back to office and using Mussel chart or book to recognize soil types by color will be do.
Soil moisture content is determined by using gravimetric method and it play a key role to know how much modify or improve the soil management practice or soil erosion and runoff surface control measures and improve agricultural yield and others land and soil yield. Either disturbed or undisturbed soil moisture content can be calibrated using either mass basis or volume basis by finding the difference between net wet weight and net oven dry weight for 24 hours at 105°C or using air seasoning . Soil moisture content determination as follows: Weight of blank (augur or core sampler) = w1, Wet weight + weight of blank=w2 and oven dry weight +weight of blank = w3
MC%=W2-W1-W3-W1W3-W1
V%= soil moisture content percentage *(soil bulk density per water density)
V%= (
V%= ( s per w)*MC%
This study will be focus on the major and essential chemical elements that requires for plant growth and their metabolic activates more in detail. These mineral elements includes: soil total nitrogen, available soil phosphors, potassium, and sulfur, calcium, magnesium and soil organic carbon. The determination of soil organic carbon is using Walkley-Black procedure. In this method the soil organic carbon is partially oxidized by potassium dichromate in the presence of sulfuric acid. Potassium dichromate produces nascent oxygen, which combines with the carbon of organic matter to produce CO2. The excess dichromate is titrated with ferrous ammonium sulphate, this method is convenient, and is fairly accurate for many soils. However, the titration step is time-consuming . Soil phosphorous is the next major and the critical essential elements that is influence the plant growth and development, because of the production or yields depend on their biomass of growth and development. Soil phosphorus determination: follow the procedures of Olsen’s method as the laboratory manuals did by . Total soil nitrogen is determined by alkaline permanganate method and similarly around since the 1800s by the method of Jolian Kjeldahl soil nitrogen determination which is still in doing. The ammonia released during oxidation is absorbed in boric acid to convert the ammonia to ammonium borate. The ammonium borate formed is titrated with standard H2SO4. From the volume of standard H2SO4 required for the reaction with ammonium borate, the N is calculated .
N%=A-B*normality of H2SO4*equi. weight on N*100gwt.of soil sample*1100 to converet Nmg into g
N%=A-B*normality of H2SO4 0.02N*equi. weight on N(13)*100gwt.of soil sample*1100 to converet Nmg into g
N%=A-B*normality of H42SO4*100gwt. of soil(g)Available Nkgha=A-B*N*0.0142240000wt. of soil sample (g)OrNkgha=N%*2240000100Where N isnormality ofH2SO4
Soil potassium determination in the soil and plant tissue available potassium are by the method of flame emission spectrophotometer . The most popular method for the last 20 years and still the best method preferable to analysis potassium and sodium held in the soil minerals and plant tissues. The spectrophotometer is limited only for a few essential elements required by plant growth and its metabolism. These are K, Na and Li are easily determined by this method. Soil magnesium and soil calcium: the best method for determination of calcium and magnesium in plant tissue and in the soil is refers to E. D. T. A. Titrimetric Method or by the method of ammonium acetate solution. In addition to the above essential elements; it will be seeing the soil pH, , and sodium. Soil exchange capacity (CEC): is a measure of the quantity of readily exchangeable cations neutralizing the negative charge in the soil. It is defined as the capacity of the soil to absorb the sum of the total exchangeable cations in the soil. It is expressed in mill-equivalent per 100gram of soil on oven dry basis. The replacement of cations by one another is known as cation exchange and here the orders of replacement by some cations are: H+>Ca++>Mg++>K+>NH4+>Na+>Si++++. Therefore, CEC determination is doing by following the procedures of ammonium saturation method or Sodium Saturation Method . In addition to that, the ammonium acetate method is suitable for neutral and non-calcareous soils, since displacement of hydrogen ions from acid soils may be incomplete. The extraction with ammonium acetate is also a reliable method for determination of CEC of acid soils if it is combined with another method for measurement of exchange acidity .
Soil pH (soil Reaction: soil pH is determined accurately by using soil pH meter. PH-value is an important indication of soil fertility and productivity that had shown the soil acidity and alkalinity of the soil . The method is used a sensing glass of electrode which is commonly known as a standard calomel electrode inserted into a soil: water mixture ratio to simulate soil solution. Therefore, the difference between the H+ ion activities in the wet soil and in the glass electrode giving rise to the electrometric potential which is related to soil solution pH and the most common ratio of soil: water to analyzed soil pH is 1:1, 1:2 and 1:2.5.
3. Conclusions
Soil is severely degraded by erosion agents which in turn degraded land resource. Land degradation is the current burden issue at global scale. Particularly the arable land and cultivated land were impacted heavily. As a result agricultural production and productivity are decline, so that the demands of agriculture is unsatisfied because of population number increases but the resources such as land is limited. Increasing of population number and their pressures on forest resources or the purpose of growing of food crops for subsistence and commercial uses are caused erosion and sedimentation. These issues are causes decline of crops yield, loss of topsoil, and removal of organic matters, reduce infiltration rate and percolation of surface runoff and depleted both ground water and ground water table recharge. Bring climate change and greenhouse gas effects which increase global warming and long drought, decline of soil colloidal, soil fertility and soil properties. These problems are the higher in Ethiopian highlands currently.
Intervention and implementation of SWC technologies after understanding and known soil types, agro-climatic conditions and topography in such areas like the west Harareghe highlands are play a crucial role to prevent and/or control erosion and sedimentation. For these aim before or after implemented SWC measures identifying and testing soil essential elements or soil properties which are the subset of soil fertilities are very crucial. Because study soil textures and others soil properties are help to correct the mistakes of site matching of SWC measures or to encourage the uses as they are significant.
Therefore, this study will be proposed after generate the research idea or the problems want to solve by the researcher’s they will plan on comparison study of three factors or treatments. These are homestead or farmstead, none treated and graded stone bund treated land uses to investigate the variations of intera-treatments and inter-treatments.
Table 7. Activity Schedule for Experimental Research Part.

Activities

Jan

Feb

Mar

Apr

Ma

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Phase I

Preliminary surveying

X

Treatments selection

X

Marking observation units

X

Supplying materials to site

X

Phase II

Soil samples collections

X

Soil samples collection for soil BD and MC

X

Phase III

Impurities separation will be doing hand in hand

X

Drying for 3 to 4 weeks under air seasoning or drying on oven dry for 24hrs at 105 degree centigrade of temperature and measure oven dry weight

X

Cleaning soil samples/data/for laboratory analysis

X

Crushed large

X

Grinded soil samples

X

Divided the grinded soil samples into two parts and take half of it

X

Half samples fill into bag, packed and labelled

X

Supply to laboratory analysis

X

Phase IV

Collected laboratory analysed report

X

Analyse lab. data using the proposed statistics and software

X

X

Writing results and discussion

X

Writing conclusion and recommendations

X

Rechecked and rewrite the entire manuscripts

X

Submitted the first report 2027

X

Presentation of the results, discussion, conclusion and recommendation 2027

X

Phase V

Rechecked the entire manuscripts 2027

X

X

Submitted the final report 2027

X

Table 8. The Request budget for field, laboratory and office work.

Description

Unit of measurement

Total costs estimated

Field work

PD

200,000

Laboratory work

PD

40,000

Laboratory testing chemical

LT

95,000

Office work

PD

60,000

Fuel energy

LT

20,000

Interview and discussion

PD

60,000

Sub-total

475,000

Contingency 10%

47,500

Grand total

522,500

Abbreviations

a. s. l.

Above Sea Level

AES

Agricultural Experiment Station

ATVETC

Agricultural Technical and Vocational Educational Training College

ATVET

Agricultural Technical Vocational Educational Training

Α

Alpha

NH4+

Ammonium Ion

ANOVA

Analysis of Variance

Β

Beta

BD

Bulk Density

Ca

Calcium

Ca++

Calcium Ion

CO2

Carbon Dioxide

CEC

Cation Exchange Capacity

S

Century

CRBD

Complete Randomized Block Design

cm3

Cubic Centimeter

oC

Degree Centigrade

O ’ ’

Degree Minute

O

Degree Minute Second

DA

Developmental Agents

WRRDIRD

Directorate of Irrigation Research Development

EMA

Ethiopia Map of Authority

EMST

Ethiopian Major Soil Types

EU

Experimental Unit

FAO

Food and Agricultural Organization

GLM

General Linear Model

GIS

Geographical Information System

GSBs

Graded and Level Stone Bunds

GSTB

Graded Stone buNd

G

Gram

Ha

Hectare

H+

Hydrogen Ion

ITPS

Intergovernmental Technical Panel

Li

Lithium

LT

Litter

Mg

Magnesium

Mg++

Magnum Ion

µ

Meau

M

Meter

Mm

Millimeter

Minute

MC

Moisture Content

Mol/equ

Molecule Per Equivalent

N

Nitrogen

n. d.

No Date

NCL

Non-conserved Land

NH2SO4

Normality of Sulfuric Acid

N%

Normality Percent

OU

Observation Unit

OBU

Oda Bultum University

%

Percent

P

Phosphorus

K

Potassium

K+

Potassium Ion

‘’

Second

Si++++

Silicon ion

Na

Sodium

Na+

Sodium Ion

pH

Soil Acidity or Alkalinity (Soil Reaction)

SWC

Soil and Water Conservation

SOC

Soil Organic Carbon

SOM

Soil Organic Carbon

SAS

Statistical Analysis of Software

SMWHZ

Statistical Method of West Harareghe Zone

SPSS

Statistical Package for Social Science

S

Sulfur

H2SO4

Sulfuric Acid

i.e.

That Is

T

Ton

UN-EUE

United Nations Emergency Unit for Ethiopia

USAD

WGCF

United States Department, America

WondoGenet College of Forestry

WFP

World Food Program

WRI

World Resource Institute

WRI

World Resource Institute

Yr

Year

Acknowledgments
First of all I would like to thanks to the almighty the Lord of the universe who created all livings and none living live in and on the surface of the Earth including the atmosphere; who give to me health and knowledge in my lifespan. Second I want to thank you from my deepest heart to International Journal of Natural Resource ecology and management who guide me in positive attitude and patience. Third I would like to thank you for my colleges and friends who encourage me on this work. Fourth I would like to thank you to my marriage family who are taking with me any hardship in patience. At last but not the least I would like to thank you for OBU research office who encourage me.
Author Contributions
Mussa Abdula Ibro is the sole author. The author has read, review, revise and approved the final manuscript. The ethical conduct of this research study and clarity of the responsibility has taken by author of the manuscript.
Conflicts of Interest
The author has declare that, there is no conflicts of interest about all of this manuscript.
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  • APA Style

    Ibro, M. A. (2026). Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia. Research and Innovation, 2(2), 144-160. https://doi.org/10.11648/j.ri.20260202.15

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    Ibro, M. A. Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia. Res. Innovation 2026, 2(2), 144-160. doi: 10.11648/j.ri.20260202.15

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    AMA Style

    Ibro MA. Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia. Res Innovation. 2026;2(2):144-160. doi: 10.11648/j.ri.20260202.15

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  • @article{10.11648/j.ri.20260202.15,
      author = {Mussa Abdula Ibro},
      title = {Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia},
      journal = {Research and Innovation},
      volume = {2},
      number = {2},
      pages = {144-160},
      doi = {10.11648/j.ri.20260202.15},
      url = {https://doi.org/10.11648/j.ri.20260202.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ri.20260202.15},
      abstract = {Soil is the vital natural resource; it has been provides multiple functions and services which is considered as a fundamental for all life live in and on the Earth surface and in the atmosphere. Mathematically soil is the subset of land whereas the land is the subset of earth and soil is expressed in terms of depth. Geological erosion is occurred under natural conditions such as undistributed watershed natural forests; then, soil formation and its losses by erosion agents are at equilibrium while excluding acceleration erosion. But as a result of anthropogenic impacts soil is seriously impaired and hampered the basic livelihoods of the human-being. This study will be entitled with: effects of graded stone bund on chemical, physical and biological soil properties: the case of west Harareghe zonal watershed, Oromia Region, Ethiopia. This study will be carrying out to alleviate the problems of site matching and past mistakes of structural SWC measures by doing these objectives: to examine the trends and variations of graded stone bunds on soil physical, chemical and biological properties in comparison to control and homestead land uses and to be work on transferring the homestead or farmstead land use technologies to other land uses based on the final results. This experimental research will be design by using complete block randomized design (CRBD) method of the Latin square design. The stated hypotheses will be proof by use 0.01 significance level. Five Woreda from west Harareghe zone will be selects purposefully based on the preliminary surveying, having a model watershed. The total of 450 composite and the total of 450 separate soil samples will be collects for laboratory analysis, to examine soil BD and MC respectively under this study. The second data will be used to determine soil texture on filed using of field testing methods by making composite soil samples; then the total of 150 composite samples will be obtain to test soil texture on the field. Data will be subjected to SPSS or SAS computer based software and analyzed. The correlation of their variations and no variations will be testing by using chi square, student t test, and F-test of multivariate of GLM. Also they will be study the relationship between the study parameters by use person’s correlations.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Effects of Graded Stone Bund on Chemical, Physical and Biological Properties of Soil: The Case of West Harareghe Zonal Watersheds, Oromia Region, Chiro, Ethiopia
    AU  - Mussa Abdula Ibro
    Y1  - 2026/01/26
    PY  - 2026
    N1  - https://doi.org/10.11648/j.ri.20260202.15
    DO  - 10.11648/j.ri.20260202.15
    T2  - Research and Innovation
    JF  - Research and Innovation
    JO  - Research and Innovation
    SP  - 144
    EP  - 160
    PB  - Science Publishing Group
    UR  - https://doi.org/10.11648/j.ri.20260202.15
    AB  - Soil is the vital natural resource; it has been provides multiple functions and services which is considered as a fundamental for all life live in and on the Earth surface and in the atmosphere. Mathematically soil is the subset of land whereas the land is the subset of earth and soil is expressed in terms of depth. Geological erosion is occurred under natural conditions such as undistributed watershed natural forests; then, soil formation and its losses by erosion agents are at equilibrium while excluding acceleration erosion. But as a result of anthropogenic impacts soil is seriously impaired and hampered the basic livelihoods of the human-being. This study will be entitled with: effects of graded stone bund on chemical, physical and biological soil properties: the case of west Harareghe zonal watershed, Oromia Region, Ethiopia. This study will be carrying out to alleviate the problems of site matching and past mistakes of structural SWC measures by doing these objectives: to examine the trends and variations of graded stone bunds on soil physical, chemical and biological properties in comparison to control and homestead land uses and to be work on transferring the homestead or farmstead land use technologies to other land uses based on the final results. This experimental research will be design by using complete block randomized design (CRBD) method of the Latin square design. The stated hypotheses will be proof by use 0.01 significance level. Five Woreda from west Harareghe zone will be selects purposefully based on the preliminary surveying, having a model watershed. The total of 450 composite and the total of 450 separate soil samples will be collects for laboratory analysis, to examine soil BD and MC respectively under this study. The second data will be used to determine soil texture on filed using of field testing methods by making composite soil samples; then the total of 150 composite samples will be obtain to test soil texture on the field. Data will be subjected to SPSS or SAS computer based software and analyzed. The correlation of their variations and no variations will be testing by using chi square, student t test, and F-test of multivariate of GLM. Also they will be study the relationship between the study parameters by use person’s correlations.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • Department of Soil Resource and Watershed Management, Oda Bultum University, Chiro, Ethiopia

    Biography: Mussa Abdula Ibro was born in 1979 G. C. Ifabas kebele, Tullo Woreda, west Harareghe, Oromia Region, Ethiopia. I was begun my elementary education in 1986 G. C. at Ifabas primary school and finished at Zegita primary school in 1990 G. C. I was finished my joiner education at Hirna number one primary and joiner secondary school in 1993 G. C. I was attended my secondary education at Hirna senior secondary high school up to 1999 G. C. I was joined my higher education Debube University WGCF and finished in 2003 G. C. in BSc Degree in Forestry. I was recruited by EFARD Bureau 2003 G. C. and work up to, 2014 G. C. as instructor at Mersa ATVETC, Amhara Region, Ethiopia. I was graduate my post graduated in MSc Degree in Watershed Management (SWC) 2013 G. C. I was recruited in Lecturer and I am on working at Oda Bultum University. I was married and born three children.

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    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Conclusions
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