49 

© 2023 Adama Science & Technology University. All rights reserved 

Ethiopian Journal of Science and Sustainable Development  

e-ISSN 2663-3205                                                                           Volume 10 (1), 2023 

Journal Home Page: www.ejssd.astu.edu.et  ASTU  

Research Paper 

Assessment of Soil Acidity and Determination of Lime Requirement under Different 

Land Uses in Gumer District, Southern Ethiopia 

Aliyu Nesru1, Achalu Chimdi2, Wondwosen Tena3  

1Department of Natural Resources Management, Wolkite University, Wolkite, Ethiopia 

2Department of Natural Resource Management, Ambo University, Ambo, Ethiopia 
3Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia 

Article Info  Abstract 

Article History: 

Received 02 June 2022 

Received in revised form 

18 November 2022 

Accepted 28 December 

2022 

 

 The study was initiated to assess the level of soil acidity and lime requirement of four types of 

land uses (forest lands, grazing lands, cultivated lands, and Eucalyptus tree plantation) and in 

replications from 0-20 cm soil depth. Lime requirement was evaluated by exchangeable acidity 

and buffer solution methods.  The data were analyzed by SAS software, version 9.1.  The study 

revealed that soils of cultivated and Eucalyptus lands were very strongly acidic with mean of 

pH 4.8 and 5.0, whereas soils of grazing lands were strongly acidic with pH 5.5 and forest lands 

were moderately acidic with pH 5.7and 5.6 in both kebeles, respectively. Meaningfully higher 

pH, OM, TN, CEC, exchangeable Ca2+, and Mg2+ were noted under forest lands as compared 

to the remaining land uses. However, meaningfully lower exchangeable acidity (EA) (1.06) 

and percentage acid saturation (PAS) (5.18) were obtained in the forest lands than in the other 

land uses. Significantly higher available P (2.54) was noted in the grazing land, followed by 

natural forest (1.77) land for Berchernamocheya kebele, and higher available P was recorded 

under forest (2.50), followed by grazing land (2.37) for Badnayegor kebele. Significantly 

higher exchangeable K+ (1.29) and Na+ (0.63) were observed in grazing land for Badnayegor 

and Berchernamocheya Kebeles, respectively. The results of the lime requirement revealed that 

using the SMP buffer solution method recorded 4.1-11.3 t/ha while using the exchangeable 

acidity method recorded 1.3-6.7 t/ha across the land uses for both kebeles. Based on lime 

requirement determination methods, the amount of lime required highly varies among the land 

uses. The investigation showed that soil acidification is a serious problem in the study areas.  

Thus, integrated land management needs to be practiced to overcome the problem of soil 

acidification and achieve sustainable agricultural production. 

Keywords:  

Land Uses,  

Lime Requirement,  

Soil Acidity,  

Soil Properties, 

1. Introduction 

Different land uses have various influences on soil 

deprivation on physicochemical properties (Alelgn et 

al., 2021).  Assessment of soil quality indicators related 

to updated soil nutrient management practices is a 

suitable and primary indicator for sustainable 

agricultural land management (Agbede, 2010; Wang et 

al., 2010). Such an assessment is used to understand 

                                                           
Corresponding author, e-mail: achaluchimdi@yahoo.com 

https://doi.org/10.20372/ejssdastu:v10.i1.2023.512 

nutrient availability in soils. This knowledge can 

determine whether definite land uses are suitable for a 

given crop production system or not (Wang et al., 2010). 

Soil acidification is one of the fundamental chemical 

soil degradation problems limiting crop production and 

productivity in various parts of Ethiopian highlands 

receiving high rainfall. The problem is also intensifying 

http://www.ejssd.astu.edu/


Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

50 
 

in scope in most other Ethiopian highlands, severely 

limiting crop production. For instance, in most barley, 

wheat, and faba bean growing areas of central and 

southern Ethiopian highlands, agriculturalists have 

shifted to the production of acid-tolerant crops such as 

oats rather than acid-sensitive crops (Wassie & Boke, 

2009; Chimdi et al., 2012). Challenges of soil 

acidification are mainly related to acid soil forming 

exchangeable aluminum (Al3+) and exchangeable 

Hydrogen (H+) and low availability of exchangeable 

basic cations. In acidic soil areas, exchangeable bases 

are easily removed through leaching and crop harvest 

(Lenka et al., 2007; Ermias et al., 2016).  

Most of the Ethiopian agricultural lands are affected 

by soil acidity and need appropriate amendment options 

including the application of liming material (Birhanu et 

al., 2014; Behera & Shukla, 2015; Bikila, 2019; Mesfin 

et al., 2020). Therefore, soil acidity is a serious concern 

calling for urgent consideration in most Ethiopian 

highlands because of its impact on crop yields and soil 

fertility (Chimdi et al., 2012; Chimdi, 2014; Kidanu & 

Chimdi, 2018). Even though soil acidity is recognized 

as an issue requiring urgent thoughtfulness in most 

Ethiopian highlands, there is very limited information 

about the impact of land uses on the level of acidity and 

the magnitude of lime required to neutralize soil acidity 

and other acidity-associated soil physicochemical 

properties in Gumer district. Hence, the current research 

was initiated with the specific objective of assessing the 

degree of soil acidification and the level of lime needed 

to reclaim acidification under three land uses. 

2. Materials and Methods 

2.1.Description of the study area 

The current investigation was undertaken in the 

Gumer District of Gurage Zone, Southern Nations-

Nationalities, and People's Regional State. The district 

is located 220 kilometers south of Addis Ababa on the 

main road to Jimma, and 65 kilometers from Wolkite, 

the capital of Gurage Zone (Figure 1). It is found at 

7º8′4″- 8o00′6″ latitude North and 37º8′9″- 38º2′00″ 

longitudes East. 

2.1.1. Topography and climate.  

Topographically, the study district is composed of a 

flat plain (7%), and average slope (35%), and the 

extremely sloppy area covers 58% of the district.  The 

altitude of the study site ranges from 2,600 to 3,170 masl 

and falls in the highland agro-climatic zone. According 

to Ethiopian Meteorological Agency, the average 

annual rainfall of the area is 1001- 1400 mm, with a 

bimodal rainfall pattern.  The main rainy season ranges 

from June to September and the short rain period covers 

the months from February to April.  The genuine rainy 

season ranges from June to the end of September. The 

mean maximum and minimum annual temperature of 

the study area varies between 17.5oC and 10.1oC, 

respectively (National meteorological agency, 2017). 
 

2.1.2. Farming system and soil types 

Agriculture is the main source of revenue in the 

Gumer District. The district comprises a largely 

diversified farming system that includes field crop 

production (which includes Enset, Eucalyptus tree, 

barley, bean, pea, and wheat as the main economic 

activities and livestock rearing (cattle, goat and sheep) 

as the second most important economic activity in the 

district. The major vegetables grown in the area are 

potato, cabbage, garlic, onion, endive, beetroot, carrot, 

and many more. The data obtained from FAO (1991) 

shows the soil type in the district is mainly Cambisols 

and Plinthosols. 
 

2.1.3. Site selection and soil sampling technique 

Purposive field surveillance and reconnaissance 

survey and selection techniques were undertaken before 

selecting the study site. Among the sixteen districts of 

Gurage Zone, Gumer District was purposively selected; 

this was because of susceptibility to land degradation 

and soil acidity in most of the highland areas of the 

district. The presence of representative land uses and 

topographical situation were the criteria used to identify 

the study site. Accordingly, cultivated land, eucalyptus 

plantation land, natural forest land, and grazing land 

were selected from Brchernamocheya and Badnayegor 

kebeles and considered for the study.  A soil sample was 

collected from each land use with a random and uniform 

collection of representative soils.  Replication of nearly 

1 kg representative soil from the top surface (0-20 cm) 

of every land use was collected, dried, sieved, prepared, 

labeled, and transported for laboratory analysis. By 

doing so, 24 composite soil samples were collected from 

the selected land uses of the two Kebeles. 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

51 
 

 
Figure 1: Location map of the study area 

 

Additionally, for the determination of soil bulk 

density, undisturbed 24 soil samples were taken from 

each land use in replication using a core sampler. 

Conversely, soil samples were grounded to pass a 0.5-

mm size sieve for analysis of total N and OC. A 

randomized complete block design was conducted with 

three replications. 

2.2. Soil Laboratory Analysis 

The analysis of soil samples was carried out at 

Wolkite Soil Laboratory Center using regular 

laboratory procedures and methods for the 

determination of lime requirement. 

2.2.1. Evaluation of selected soil parameters 

Soil texture was measured through the Bouyoucos 

hydrometer method, which can be written (Day (1965). 

Soil bulk density was determined using the core 

sampler method.  An average value of soil particle 

density of 2.65g cm-3 was considered for the 

calculation of total soil porosity. Total porosity was 

estimated from bulk and particle densities as described 

by Brady and Weil (2016). 

Soil pH was measured using a digital pH meter as a 

suspension of a 1:2.5 soil-water ratio (Van Reeuwijk, 

2002). Cation exchange capacity (CEC) and 

exchangeable bases were extracted by 1M of 

NH4COCH3 at (pH 7) as described by Chapman 

(1965). The extracts of exchangeable Ca2+ and Mg2+ as 

well as Na+ and K+ were measured using atomic 

absorption spectrophotometer flame photometer, 

respectively (Chapman, 1965). The CEC was 

determined from the displaced NH4
+ through 

distillation followed by titration. Exchangeable acid 

was determined by saturating the soil with 1N KCl 

solution and titrating it with NaOH as described by 

McLean (1965). A neutral 1N KCl solution was used 

to leach exchangeable H+ and Al3+ ions from the soil. 

After the determination of Organic carbon, using wet 

digestion, soil organic matter was calculated from 

organic carbon (OM=1.724 * %OC)as described by 

Walkley & Black (1934). Soil Total N was measured 

using the Kjeldahl digestion procedure as designated 

by Jackson (1958). The available P was determined by 

using the Olsen method (Olsen et al., 1954). Soil 

percent base saturation (PBS) was calculated by taking 

the ratio of the sum of basic exchangeable cations 

(Ca2+, Mg2+, Na+, and K+) ions to CEC as a percentage. 

Effective CEC, PBS, and PAS were calculated as 

follows: 

 

     (1) 

 

100*
)(.

CEC

ionsNaKMgCabaseEx
PBS






Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

52 
 

𝐸𝐶𝐸𝐶 = (𝐸𝑥. 𝑏𝑎𝑠𝑒𝑠(𝐶𝑎2+ + 𝑀𝑔2+ + 𝐾+ + 𝑁𝑎+)

+ 𝐸𝑥. 𝐴                                                 (2) 

 

100*
.

ECEC

acidityEx
PAS                                      (3) 

 

𝐸𝑥. 𝐴 = (EX. H+ +   Ex. Al3+)                                    (4) 

 

2.2.2. Methods used for lime requirement (LR) 

determination 

The methods that were used for the lime 

requirement determination for this research were 

exchangeable acidity with the unbuffered neutral salt 

solution method and the SMP buffer solutions 

method. Shoemaker, McLean, and Pratt buffer for the 

lime requirement was employed using the buffer 

solutions method as developed by Shoemaker, 

McLean, and Pratt (SMP) buffer solution (Shoemaker 

et al., 1961). The SMP buffer method measures the 

change in pH of a buffer triggered by soil acidity and 

alteration in buffer pH is a quantity of lime 

requirement of soil. After determination of the 

prepared buffer pH, soil samples were determined by 

using SMP buffer solutions, at Wolkite Soil Testing 

Center, and the lime requirement was assessed by 

referring to a published table, linking buffer pH to 

aimed pH. 

2.2.3. Extraction of exchange acidity method 

Exchange acid is the total exchangeable H+ and 

Al3+ adsorbed on a soil exchange complex. The 

exchangeable acidity above pH 5.5 is very low or 

even absent since exchangeable acidity is present 

appreciably only at pH < 5.5. The soil exchangeable 

acidity was determined as designated by Shoemaker 

et al. (1961). The mathematical model developed by 

Kamprath (1984) was used to calculate LR 

determination. 

 

𝐿𝑅, 𝐶𝑎𝐶𝑂3 (
𝑘𝑔

ℎ𝑎
)

=

𝑐𝑚𝑜𝑙𝐸𝐴
𝐾𝑔𝑠𝑜𝑖𝑙

∗ 0.2𝑚 ∗ 1000𝑚2 ∗ 𝐵𝐷 (
𝑚𝑔
𝑚3

) ∗ 100

200
        (5) 

Where: EA = Exchangeable acidity and BD = Bulk 

density 

2.2.4. Data Analysis:  

Data generated from laboratory analysis were subjected 

to analysis of variance (ANOVA) using Statistical 

Analysis System (1999) version 9.1. 
 

3. Results and Discussion 

3.1.Soil Physical Properties 

The analytical result showed that all soil textures 

changed highly significantly (p < 0.01) in Badnayegor 

and Berchernamocheya kebeles except the silt portion in 

Badnayegor kebele, which significantly (p < 0.05) 

varied between land uses (Table 1). In all land uses of 

Berchernamocheya kebele, a sand portion was high 

(52.33- 32.33%) tailed by a silt portion (39.33 - 24.67%) 

and a clay portion (28.83- 16.67%). However, in 

Badnayegor kebele, sand, silt, and clay fractions ranged 

from 55.67 - 41.0%, 36.33 to 26.0%, and 30.0% -

15.33% respectively, in all land uses (Table 1). 

Relatively, the sand fraction was the largest proportion 

in all land uses of the two kebeles. 

 The current finding is corroborated by the findings 

of Abbasi et al., (2007) and Tessema (2008).  The 

authors state that the disparity of soil texture between 

land uses implies the effects of land uses on soil 

properties triggered by different utilization and 

management system of land uses (Abbasi et al., 2007; 

Tessema, 2008). In Berchernamocheya kebele, soil 

textural class of cultivation land (CL), EL, GL, and NF 

were loam, clay loam, sandy clay loam, and sandy loam, 

whereas in Badnayegor kebele, textural class of 

cultivation land (CL), EL, GL) and NF was sandy clay 

loam, clay loam, sandy loam and loam (Table 1). 

Changes in textural class among land uses resulted from 

amendment in management practices and pedogenic 

practices at the study area. 

3.2.Soil bulk density and total porosity 

The analysis of variance depicted that land uses 

significantly (P < 0.01) affected bulk density (BD) in 

both kebeles. Numerically, the highest BD was found 

under the grazing lands (1.41 g/cm3 and 1.44 g/cm3) 

followed by cultivated lands (1.38 g/cm3 and 1.34 

g/cm3). However, the lowest value of BD (1.21g/ cm3 

and 1.17 g/cm3) was detected under NF followed by the 

soil under EL (1.28 g/cm3 and 1.18g/cm3) for 

Berchernamocheya and Badnayegor kebeles, 

respectively.



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

53 
 

Table1. Mean values of selected soil physical properties  

Land uses                    Berchernamocheya kebele                   Badnayegor kebele 

                                             Percentage   (%)                         Percentage(%) 

                             Sand          Clay          Silt             Tx. C                     Sand          Clay            Silt           Tx. C     

 CL                      44.33a            21.0b              34.67ab                L                            46.33b        28.33a         25.33b       SL 

 EL                      32.33b            28.33a            39.33a           CL                          41.0c              30.0a                   29.0ab        CL        

 GL                      47.0a              28.33a            24.67c            SCL                        55.67a            18.33b              26.0b               SL 

 NF                       52.33a            16.67c       31.0cb                   SL                          48.33b           15.33b               36.33a         L 

LSD (0.05)           9.6              4.3             7.11                                           4.61           4.61            7.69  

CV%                    11.59          9.72           11.64                   5.12          10.65           13.99 

Land uses            BD/gcm3                      TP (%)                                     BD/gcm3                                      TP (%)  

  CL                      1.38a                                            48.05b                         1.34a                                                49.56b 

  EL                      1.28ab                                          51.69a                                     1.18b                                                 55.59a 

  GL                      1.41a                                            46.78b                                                             1.44a                                                 45.53b 

  NF                      1.21b                                            54.47a                                                              1.17b                               55.97a 

LSD (0.05)           0.14                             5.31                                           0.13                                19.03 

 CV%                   4.08                             4.04                                           5.51                                 5.15  

                                            cmol(+) kg-1                                                                                cmol(+) kg-1 

Land uses     pH (H2O)    EA      Ex. Al    Ex. H   PAS                       pH (H2O)   EA    Ex. Al   Ex. H   PAS 

CL                4.80b                   3.80ab      2.82a      0.98b         45.96a                           5.0b             3.4ab        2.54b    0.86a      26.53a   

EL                4.87b                   5.25a      3.29a      1.96a        34.19a                            4.93b        4.91a      3.91a     0.99 a    37.45a 

GL                5.53a                   2.04cb     1.06b      0.88b        9.69b                               5.53a          2.27cb       1.29bc   0.97a     11.09b 

NF                5.67a             1.06c       0.30b      0.76b           5.18b                               5.63a      1.29c           0.27c    1.03a      6.24b 

LSD (0.05)   0.27              1.96       1.58       0.73        12.73                    0.27        1.52       1.35     0.77ns   12.41 

CV%            2.71               24.2       24.78     26.0        18.46                   2.68       27.23     25.79    22.51    13.79  

 Meq/100g soil                                                  Meq/100g soil 

                      Ca            Mg             Na             K                                    Ca              Mg             Na             K 

CL                 3.33b       0.69b         0.25b           0.23b                                                  7.67cb         2.09b          0.09b           0.26c 

EL                 6.0b         3.33b         0.19b           0.44b                                4.33c          3.0b            0.10b           0.73b 

GL                10.0a        7.33a         0.63a                   1.07a                                                  9.0ab           7.67a           0.43a                 1.29a 

NF                 11.0 a       7.33a        0.36b            0.99a                                                 12.33a         6.0a            0.32a           0.74a 

LSD (0.05)    3.92        3.01          0.26             0.52                                 3.77           2.54            0.17           0.32 

CV%             27.45      14.27        19.45          20.71                               24.00          17.75         18.29         17.71  

N.B. The mean values in the table that are followed by the same letter are not significantly different from each other at P < 0.05, 

GL= grazing land, CL= cultivation land, EL= Eucalyptus land, NF= Natural forest, CV= Coefficient of variation, LSD= least 

significant difference, EA= exchangeable acidity, Ex. Al= exchangeable Al, Ex. H= exchangeable H, PAS=Percentage acid 

saturation.

The possible reason why the BD was higher in GL 

and CL as compared to NF and EL could be attributed 

to the compaction effect of livestock during free 

grazing, deforestation, and consequent tillage 

practices that might have resulted in worsening soil 

structure, which in turn leads to soil compaction 

(Muche et al., 2015). The lowest soil OM available in 

the cultivation land can also subsidize the highest BD. 

In addition to this, the current finding is in line with 

Wakene and Heluf (2003), who stated that the highest 

BD detected in unrestricted land was caused by soil 

compaction and deprivation of OM. According to 

ratings by Hazelton and Murphy (2007), soil BD is 

rated as very low (<1 g/cm3), low (1-1.3 g/cm3), 

medium (1.3-1.6 g/cm3), high (1.6 -1.9 g/cm3) and 

very high (>1.9 g/cm3). 



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54 
 

Table 2. Mean values of selected soil chemical properties.  

Land uses         Berchernamocheya kebele Badnayegor kebele 

 Meq/100g soil                                                                 Meq/100g soil   

                      TEB          ECEC          CEC         PBS                           TEB        ECEC         CEC         PBS 

CL                 4.51c            8.31c            24.28c       18.57c                                           10.12b        13.52b           28.07b       36.22a 

EL                9.96b         15.22b          30.03b       33.17b                                        8.17b       13.08b           32.67b       26.33a 

GL                19.03a         21.08a             30.13b       63.16a                                           18.39a        20.66a                42.07a          43.71a 

NF                19.65a      20.71a                 35.0a          56.49a                                          19.39a      20.68a                  43.27a          44.81a 

LSD (0.05)   2.87         2.67             3.67           10.39                             4.09          4.17              7.90       23.08ns 

CV%            11.48       8.69              6.49          12.94                             15.51        13.03            11.49      23.33  

                                     (mg kg-1)           cmol(+) kg-1                                                      (mgKg-1)       cmol(+) kg-1 

Land uses       Av.P     OC         OM        TN       C: N                             Av. P       OC     OM       TN         C: N 

CL                  1.09c      1.35c         2.33c      0.14b       9.59ab                                       1.36b        1.40d     2.42d            0.20b           7.19b 

 EL                0.32d       2.17b     3.77b      0.24b           9.02ab                                        0.63b         2.47c     4.27c             0.21b          11.56a 

 GL                2.54a      1.55c         2.69c      0.21b             6.29b                                         2.37a      3.37b      5.78b        0.46a          7.37b 

 NF                1.77b         5.93a        10.2a       0.51a            11.71a                                        2.50a         5.47a      9.40 a          0.50a          10.9a 

LSD (0.05)    0.59        0.57       0.99       0.11           4.07                         0.80        0.45      0.78        0.05        1.93 

CV%             18.05     10.94      11.12     20.79        17.02                        17.81      7.55      7.59        8.24      11.08  

Land uses        BpH            LRSMP t/ha     LREA t/ha                             BpH         LRSMP t/ha      LREA t/ha 

 CL                 5.63a              11.3a                            5.1ab                                                             5.73c           10.2a                         4.55ab 

 EL                 5.80a               9.7a                   6.7a                                                               5.80cb          9.5ab                          5.72a 

 GL                 6.17a                      6.0a                              2.8cb                                                             6.10ab                 6.6cb                         3.29cb 

 NF                 6.33a                     4.7a                               1.3c                                                               6.40a            4.1c                  1.5c  

LSD (0.05)     0.74               7.1                     2.58                                       0.33             3.02                 1.9 

CV%             4.73                24.15                 17.41                                     2.92             21.1                 

N.B. Means within a column followed by the same letter are not significantly different from each other at P < 0.05, BpH = Buffer 

pH, LRSMP= Lime requirement determination method as Shoemaker, McLean, and Pratt, LREA= Lime requirement 

determination method by extraction of exchange acidity, Av. P= Available P, OC= Organic carbon, OM= Organic Matter, TN= 

total N, PBS= percentage base saturation, CEC= Cation exchange capacity, TEB= total exchangeable bases, ECEC= effective 

cation exchange capacity, ns = non-significant. 
 

Soil total porosity (TP) is a signal of the degree of 

compaction in the soil. Analysis of variance reveals 

significant (P < 0.01) differences in TP among land uses 

for Badnayegor and Berchernamocheya  kebeles. The 

highest TP (54.47% and 55.97%) was detected in 

natural forest land followed by EL (51.69 and 55.59 %).  

In contrast, the lowest mean values (46.78% and 

45.53%) of TP were registered under grazing lands 

followed by CL (48.05% and 49.56%) for 

Berchernamocheya and Badnayegor kebeles, 

respectively (Table 1). Alterations in TP among land 

uses might be due to high soil OM and lowest BD of 

natural forest lands and low OM content and high 

compaction due to the flattening effect of livestock 

during unrestricted foraging in grazing land. Factors that 

affect BD have also a direct effect on TP. 

The results of the current study are in agreement with 

Gebrelibanos and Mohammed (2013), who asserted that 

the high TP in the soil of natural forests is accredited to 

higher OM, as TP is affected by the level of soil OM and 

BD (Habtamu et al. 2014). According to the ranking of 

FAO (2006), soil TP (< 2%) was classified as very 

low,(5-10%) low, (10-15%) medium, (15-40%) high, 

and ( > 40%) very high.  Based on this rating, the TP of 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

55 
 

all land uses was found to be very high (> 40%). Higher 

TP implies better aggregation and provides good 

aeration for microorganisms and an opportunity for crop 

production. 

3.3.Soil chemical parameters 

Soil pH was highly significantly (P < 0.01) affected 

by land uses. Comparison of the mean pH value of 

cultivation and eucalyptus lands with grazing and 

natural forest lands indicates statistically significant 

differences in Berchernamocheya and Badnayegor 

kebeles. However, there were no significant differences 

between EL and CL as well as between GL and NF lands 

of the two kebeles (Table 1). Relatively the highest 

(5.67) and the lowest (4.8) pH were documented in the 

natural forest and CL of Berchernamocheya kebele 

respectively. On the other hand, relatively the highest 

(5.63) and the lowest (4.93) pH were verified under the 

natural forest and EL of Badnayegor kebele respectively 

(Table 1).  Low pH in CL and EL could be due to high 

tillage frequency and high rates of annual rainfall that 

resulted in different forms of soil erosion, removal of 

plant residues after harvesting of plants, and leaching of 

basic cations. The current findings are consistent with 

previous findings that indicate soil pH was significantly 

lower in the soil of CL when compared to uncultivated 

soils (Malo et al., 2005).  Consistent with the current 

study,   Gebeyaw (2015) also observed a significant 

alteration in pH value among land uses and showed 

lower pH in the soil of cultivation land.  According to 

Jones  (2003), soil pH rated for Berchernamocheya 

kebele,  mean pH for CL, EL, GL, and NF were 

respectively, 4.80, 4.87, 5.53, and 5.67 and the rating 

ranged from very strong acid for CL to moderate acid 

for NF. Similarly, for soil pH rating for Badnayegor 

kebele, the mean pH value for CL, EL, GL, and NF was 

respectively 5.0, 4.93, 5.53, and 5.63, and rating ranges 

from very strongly acidic for CL to moderate acidic soil 

for NF (Table 1). 

3.4.Exchangeable acidity (EA) and Percent Acid 

saturation (PAS) 

The analysis of variance revealed EA and PAS 

varied highly significantly (P < 0.01) through land uses 

in both kebeles. The mean EA values for CL, EL GL, 

and NF lands were (3.8, 5.25, 2.04, and 1.06 cmol(+) kg-

1), and (3.4, 4.91, 2.27, and 1.29 cmol (+) kg-1) for 

Berchernamocheya and Badnayegor kebeles, 

respectively (Table 1).  The highest EA value was 

attained from EL (5.25 cmol (+) kg-1) and (4.91 cmol (+) 

kg-1) and the lowest EA value was acquired from NF 

lands (1.06 cmol (+) kg-1) and (1.29 cmol (+) kg-1) for 

Berchernamocheya & Badnayegor kebeles, respectively 

(Table 1). The mean PAS values for cultivated land, EL, 

GL, and NF land were (45.96, 34.19, 9.69, and 5.18 

cmol (+) kg-1) and (26.53, 37.45, 11.09, and 6.24 cmol 

(+) kg-1) for Berchernamocheya and Badnayegor 

kebeles respectively (Table 1). The highest PAS value 

was achieved from cultivation land the PAS (45.96 cmol 

(+) kg-1) and the lowest (5.18 cmol (+) kg-1) value was 

achieved from NF land of Berchernamocheya kebele.  

Likewise, the highest PAS attained from EL (37.45 

cmol (+) kg-1) and the lowest (6.24 cmol (+) kg-1) PAS 

value was achieved from NF land of Badnayegor kebele. 

3.5.Exchangeable bases 

The analysis of variance depicted that mean values 

of exchangeable cations (Ca2+, Mg2+, Na+, and K+) were 

highly significantly (P < 0.01) different across land uses 

for Badnayegor kebele while  Ca2+ and Mg2+ and Na+ 

and K+ were highly significantly (P < 0.01 and P < 0.05 

respectively) diverse for Berchernamocheya kebele. The 

highest mean values of exchangeable bases Ca2+ and 

Mg2+ (11.0 and 7.33) were recorded in the soil of NF 

land and Na+ and K+ (0.63 and 1.07) were recorded in 

the soil of GL. The lowest mean values of exchangeable 

bases Ca2+, Mg2+, and K+ (3.33, 0.69, and 0.23) were 

recorded in the soil of CL, and Na+ (0.19) was recorded 

under eucalyptus land for Berchernamocheya kebele, 

respectively. Similarly, the highest mean values of 

exchangeable cations Ca2+ (12.33) in NF land and Mg2+, 

Na+, and K+ (7.67, 0.43, and 1.29) were registered under 

GL, whereas the lowest mean values of exchangeable 

cation Ca2+ (4.33) were registered under Eucalyptus 

land, and Mg2+, Na, and K+ (2.09, 0.09 and 0.26) were 

recorded under CL for Badnayegor kebele respectively 

(Table 1). The relatively high exchangeable (Ca2+ and 

Mg2+)  observed in soils of NF land might be due to the 

presence of relatively higher soil OM and low exposure 

to soil erosion under NF lands. However, lower 

exchangeable Ca2+ and Mg2+ were observed in soils of 

CL and EL soils, which resulted from lower pH and soil 

OM as well as due to continuous removal of Ca2+ and 

Mg2+ with crop harvest from topsoil. The present 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

56 
 

finding was in covenant with Aboytu (2019) who 

showed that soil acidification limits the availability of 

essential nutrients from the top soils. The impact of high 

soil acidification results in a deficiency of available Ca, 

P, and Mo and domination of soluble Al, Mn, and other 

acid-forming metallic ions (Getachew & Sommer, 

2000). 

3.6.Cation exchange capacity and percent base 

saturation 

The analysis of variance revealed that soil CEC was 

highly significantly (P < 0.01) affected by land uses at 

the two kebeles. Accordingly, the highest (35.0 cmol (+) 

kg-1) CEC value was observed in NF soil, followed by 

GL (30.13), while the lowest (24.28) in CL soil, 

followed by EL (30.03) for Berchernamocheya kebele.  

The highest (43.27) CEC value was observed in NF land 

soil, followed by GL (42.07), whereas the lowest 

(28.07) was recorded in CL, followed by EL (32.67) for 

Badnayegor kebele (Table 2). A possible reason for the 

highest and lowest CEC in NF land and CL respectively 

might be due to high soil OM in FL land but low level 

of OM and high leaching of basic cations from 

cultivation land. This finding was in agreement with the 

findings of Bore & Bedadi (2015), who stated that the 

decline in soil properties is mainly due to the 

transformation of native forest and range land into 

cultivated land. According to Hazelton and Murphy 

(2007), the CEC of soils in CL was medium (24.28) & 

high (28.07) for Berchernamocheya and Badnayegor 

kebeles respectively; CEC in  EL soil was high for both 

kebeles. High CEC was revealed in grazing land (30.03) 

and NF land (35.0) for Berchernamocheya, and very high 

CEC was confirmed in grazing land (42.07) & NF land 

(43.27) for Badnayegor kebeles  (Table 2). 

The value of PBS showed a highly significant 

(p<0.01) difference amongst land uses in 

Berchernamocheya kebele. However, it showed an 

insignificant (p > 0.05) difference among land uses in 

Badnayegor kebele. Likewise, numerical variations 

were observed among the four land uses. Relatively, the 

highest PBS (63.24%) was observed in grazing land, 

followed by NF land (56.49%), while the lowest PBS 

(18.57%) was recorded in CL, followed by EL (33.17%) 

in Berchernamocheya kebele. The reason for the high 

PBS content in grazing land in this kebele is probably 

due to the high total exchangeable bases (TEB) content 

noted in GL, while the low PBS documented in CL is 

probably due to the presence of a lower level of total 

exchangeable bases (TEB) observed in CL, low pH 

values and soil OM and removal of basic nutrients from 

topsoil by erosion and crop harvest for the 

Berchernamocheya kebele (Table 2). The findings of the 

current study agree with the findings of Jobira (2018) 

and Kedir (2015), who reported that the highest PBS 

(57.87%) was measured in GL soil, whereas the lowest 

(31.23%) was recorded in CL soil. 

3.7.Soil organic matter, total N, C: N ratio and 

available P 

The analysis of variance showed that soil OM was 

very highly significantly (P < 0.001) affected by land 

uses in both kebeles. The highest (10.2 %) and (9.40%) 

SOM were documented in the soil of NF land, while 

relatively lowest (2.33 %) and (2.42%) SOM were 

recorded in the soil of CL for Berchernamocheya and 

Badnayegor kebeles, respectively. The mean value of 

SOM increased from CL to GL, EL, and NF lands and 

from CL to EL, GL, and NF land at Berchernamocheya 

and Badnayegor kebeles, respectively (Table 2).  The 

highest soil OM recorded in the NF land is due to the 

fall of plant biomass like leaves, barks, limbs, and other 

remaining plants and low exposure to soil.  Conversely, 

the lower SOM of CL is probably due to the removal of 

SOM through oxidation, which is resulted from the 

mismanagement of cultivated land triggered by 

intensive cultivation and soil erosion, which then leads 

to the washout of soil OM. According to Tekalign et al., 

(1991), (< 0.86) OM is rated as very low, (0.86-2.59 %) 

low, (2.59-5.17%) medium/moderate, and > (5.17%) 

high. Based on this rating, the OM for CL, GL 

Eucalyptus plantation land, and NF land in 

Berchernamocheya kebele were 2.33%, 2.69%, 3.77%, 

and 10.2% respectively. The mean values of SOM for 

Badnayegor kebele were 2.42%, 4.27%, 5.78%, and 

9.40% in CL, EP, GL, and NF land respectively. The 

result indicated that SOM was low under CL of both 

kebeles, medium under Eucalyptus and GL, and high 

under NF lands of both kebeles (Table 2).   

The total N was very highly significantly (P < 0.001) 

affected by different land uses in both kebeles.  The 

highest mean values (0.51% and 0.50%) of the TN were 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

57 
 

documented in NF lands, while the lowest (0.14% and 

0.20%) were noted in CL of Berchernamocheya and 

Badnayegor kebeles respectively (Table 2).  This might 

be due to comparatively high SOM content noted in 

natural FL and low SOM content in CL as well as due 

to land use change from natural FL to CL, which may 

trigger the decline of TN content. This result is 

congruent with the findings of (Dawit et al., 2002). 

Based on the rating suggested by Barber (1984), the TN 

content recorded in CL was low for both kebeles, 

medium in grazing and EL lands in Berchernamocheya 

kebele and eucalyptus land in Badnayegor kebele, and 

very high in NF lands at both kebeles (Table 2). The 

result of the C: N ratio showed significant (P<0.05) and 

highly significant (P<0.01) variations amongst land uses 

in Berchernamocheya and Badnayegor kebeles, 

respectively (Table 2).  The highest (11.71) C: N was 

noted in NF land, followed by CL (9.59), while the 

relatively lowest (6.29) C: N was documented in GL, 

followed by EL (9.02) in Berchernamochya kebele. 

Similarly, the highest (11.56) C: N was documented in 

EL, followed by NF land (10.9), while the lowest (7.19) 

C: N was observed in CL, followed by GL (7.37) in 

Badnayegor kebele (Table 2). Low input of SOC, 

removal of crop residues from CL, and overgrazing are 

probably the reasons for a low level of C: N in CL and 

GL, whereas higher C: N is probably due to higher 

contents of soil OC and high plant biomass in natural 

FL. Similarly, previous findings also stated that narrow 

C: N at the surface soils of CL is probably due to higher 

microbial activity in the surface 0-20 cm soil layer 

(Chimdi, 2014). Based on the ratings by Hazelton and 

Murphy (2007), we have found out that except for 

natural FL, which was low C: N, for all the remaining 

land, uses, the C: N was rated as very low at grazing and 

CL in Berchernamocheya kebele, low at the EP land and 

natural FL in Badnayegor kebele (Table 2). 

Available P was highly significantly (P<0.01) 

affected by land uses in both kebeles. Relatively, the soil 

under grazing land was documented with the highest 

available P (2.54 mg/kg), followed by NF land and CL 

(1.77 and 1.09mg/kg) respectively; the lowest 

(0.32mg/kg) was noted in EL in Berchernamocheya 

kebele. On the other hand, the highest available P was 

noted (2.50 mg/ kg) in NF land, followed by grazing and 

CL (2.37 and 1.36 mg/kg) respectively, and the lowest 

(0.63 mg/kg) was registered in EL in Badnayegor 

kebele. This result agrees with the finding of  Tessema 

(2008), who reported that low available P in acid soils is 

due to the inherently high P fixing capacity of the soil. 

As rated by Barber (1984), the available P was 

qualifying very low in all land uses in both kebeles; 

however, it is numerically better in soils of NF land and 

GL of both kebeles (Table 2). 

3.8.Lime requirement(LR) determination with the 

SMP buffer solution method 

The amount of lime required by using the buffer 

solution method of lime requirement determination 

(LR_SMP) of the experimental soil was highly 

significantly (P < 0.01) affected by land uses at 

Badnayegor kebele; however, it is insignificantly affected 

by land uses at Berchernamocheya kebele (Table 2). 

Accordingly, the highest (10.2 t/ha) value of LR was noted 

in CL soil, followed by EP land (9.5 t/ha), while the lowest 

(4.1 t/ha) was documented in NF land soil, followed by GL 

(6.6 t/ha) at Badnayegor kebele. A possible reason for the 

highest quantity of LR verified in CL and EL is probably 

due to lower OM content, low pH values, relative existence 

of substantial quantity of Al and H ions, and low level of 

basic nutrients. However, a lower quantity of LR was 

documented in NF and GL soil is probably due to relatively 

higher OM content, high pH (above 5.5), and high quantity 

of basic nutrients. The quantity of lime requirement 

determined by using buffer solution method of lime 

requirement determination SMP methods to change the 

current pH value of soils to targeted pH 6.5 was in line with 

the finding, CL and GL required 14.0 - 15.90 ton/ha of lime 

to change the soil from 5.13-6.5 by SMP buffer solution 

method (Birhanu, 2008). 

3.9.Lime requirement determination with 

exchangeable acidity method 

The mean values of LR evaluated using the extraction 

of exchange acidity method were highly significantly (P < 

0.01) affected by different land uses in both kebeles.  The 

study revealed the highest (6.7 and 5.72) t/ha mean value 

of LR in EL soil, followed by CL (5.1 and 4.55) t/ha, and 

the lowest (1.3 and 1.5) t/ha in NF land, followed by GL 

(2.8 and 3.29) t/ha in Berchernamocheya and Badnayegor 

kebeles, respectively (Table 2). A possible reason for the 

difference in LR among land uses is probably due to high 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

58 
 

OM, high pH values, and lower amount of exchangeable 

acidic cation (Al+ and H+).  Low acid saturation was 

recorded in NF land and GL in the study area requires a 

relatively low quantity of lime. However, soils under CL 

and EL require a high quantity of lime probably due to low 

OM content, lower pH values, a relatively higher quantity 

of acidic cation (Al+ and H+), and high acid saturation. This 

means that when the soils contain a substantial value of 

acidic cations, a higher quantity of lime is required to 

reclaim soil acidity (Desalegn et al., 2017). 

3.10. Comparison of lime requirement 

determination methods 

Of the two lime requirement determination methods 

stated above, lime requirement determination by using 

the buffer solution method (LR_SMP) was 

exaggerated (4.1 t/ha to 11.3 t/ha) across the land uses. 

However, in lime requirement by using the extraction 

of exchangeable acidity method, the quantity of lime 

required ranged from 1.3 t/ha to 6.7 t/ha across land 

uses for the study area.  The quantity of lime required 

by using the extraction of exchangeable acidity method 

was very low for NF lands (1.3 t, 1.5 t) and GL (2.8 t, 

3.29 t) as compared to the amount of lime required by 

using the buffer solution method, where the quantity of 

lime required for NF lands (4.7 t, 4.1 t) and grazing 

lands (6.0 t, 6.6 t) was very high for Berchernamocheya 

and Badnayegor kebeles respectively. Similarly, the 

quantity of lime required by using the extraction of 

exchangeable acidity method was very low for CL (5.1 

t, 4.55 t) and EL (6.7 t, 5.72 t) as compared to the 

quantity of lime required by using the buffer solution 

method for CL (11.3 t, 10.2 t) and EL (9.7 t, 9.5 t), which 

was very high for Berchernamocheya and Badnayegor 

kebeles respectively (Table 2). Although lime requirement 

can be determined both through SMP buffer and 

exchangeable acidity methods, a more suitable method 

should be identified by validating it under field conditions.  

4. Conclusion 

The assessment of soil acidity in four land uses 

showed that very low soil pH (4.8 and 4.87), (5.0 and 

4.93); and higher acid saturation (45.96% and 34.2%), 

(26.53 and 37.45) were recorded in CL and EL for 

Berchernamocheya and Badnayegor kebeles, 

respectively. The findings of the study also indicated 

overall variation and loss of soil fertility in CL and EL as 

compared to  NF land and GL. Accordingly,  CL and EL 

soils were also poor in macronutrient contents and fell 

below TEB (from 4.51 to 13.52), CEC (from 24.28 to 

32.67), and PBS (from18.57% to 33.17%). However, 

relatively higher soil pH (>5.5) and lower acid saturation 

(from 5.1% to 11.09%) in NF land and GL soils indicated 

its suitability for better available nutrients. The TEB 

ranged from (19.03 to 19.65); CEC from (30.13 to 43.27) 

and PBS from (43.71% to 63.16%) were recorded in the 

soil of NF land and GL. Based on the evaluation of lime 

requirement under the four land uses, we have observed 

that the quantity of lime required varies greatly among 

land uses. This variation is probably due to low pH values 

in CL and EL soils, which require a higher quantity of 

lime than adjacent NF land and GL. Finally, this soil 

acidity and reduction of basic cations lead to the 

intensification of risks to agricultural productivity. 

Immediate and integrated land management interventions 

are required to overcome soil acidity, improve soil 

productivity, and achieve viable agricultural crop 

production. . Application of agricultural lime and organic 

fertilizers is considered a dominant measure for such 

acidified cultivated land. Finally, we recommended that 

further studies are needed on lime recommendation rates 

in the study area based on locational field experiments. 

Acknowledgments 

The authors would like to acknowledge Wolkite Town 

Administration for financial support and Wolkite Soil 

Testing Center for providing us with materials and 

supporting us in soil analysis.

Reference 

Abbasi, M., Zafar, M., & Khan, S. (2007). Influence of different land-cover types on the changes of selected soil properties in 

the mountain region of Rawalakot Azad Jammu and Kashmir. Nutrient Cycling in Agroecosystems., 78:97-110.  

Aboytu, S. (2019). Soil acidity and its management options in Ethiopia. International Journal of Scientific Research and 

Management., 07(11):1429-1440.  

Agbede, T. (2010). Tillage and fertilizer effects on some soil properties, leaf nutrient concentrations, growth and sweet potato 

yield on an Alfisol in southwestern Nigeria. Soil and tillage research., 110(1): 25-32.  

Alelgn, E., Simane, B., Teferi, E., and Zaitchik, F. (2021). Mapping and quantifying comprehensive land degradation status using 



Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

59 
 

spatial multicriteria evaluation technique in the headwaters area of Upper Blue 

NileRiver.Sustainability.,13.https://doi.org/10.3390/su13042244  

Barber, R. (1984). An assessment of the dominant soil degradation processes in the Ethiopian highlands; their impacts and 

hazards. Prepared by the Joint ECA/FAO agriculture division for the Ethiopian highlands reclamation study. p89. 

https://doi.org/UTF/ETH/037/ERH Addis Ababa  

Behera, S., and Shukla, A. (2015). Spatial distribution of surface soil acidity, electrical conductivity, soil organic carbon content 

and exchangeable potassium, calcium and magnesium in some cropped acid soils of India. Land Degradation 

Development., 26:71-79.  

Bikila, T. (2019). Soil Acidity and Its Management Options in Western Ethiopia. Journal of Environment and Earth Science., 

9(10).  

Birhanu, A., E. Adgo, E., and Argaw, M. (2014). Impact of land use types on soil acidity in the highlands of Ethiopia: The case 

of Fagetalekoma district. Impact of land use types on soil acidity in the highlands of Ethiopia: The case of Fagetalekoma 

district., 2(8): 124-132.  

Black, C. (1965). Methods of soil analysis, Part I. American Society of Agronomy, Madison, Wisconsin, USA. , 1572p.  

Bore, G.,and Bedadi, B. (2015). Impacts of land use types on selected soil physico-chemical properties of Loma Woreda, Dawuro 

zone, southern Ethiopia. Science and Technology and  Arts Research Journal., 4: 40-48.  

Bouyoucos, G. (1962). Hydrometer method improvement for making particle size analysis of soils. Agronomy Journal., 54:179-

186.  

Brady, N., & Weil, R. (2016). The nature and properties of soils, Pearson Education, Columbus, EUA.  

Chapman, H. (1965). Cation Exchange Capacity. In: C.A. Black, L.E. Ensminger and F.E. Clark (Eds), Methods of soil analysis. 

Agronomy., 9: 891-901.  

Chimdi, A., Gebrekidan H., Kibret K., and  Tadesse A. (2012). Effects of liming on acidity-related chemical properties of soils 

of different land use systems in Western Oromia, Ethiopia. World Journal of Agricultural Sciences., 8(6): 560-567.  

Chimdi, A., (2014). Assessment of the severity of acid saturations on soils collected from cultivated lands of East Wollega Zone 

, Ethiopia [Research Article]. Science, Technology,  and Arts, Research Journal., 3:42-48. https://doi.org/DOI: 

10.4314/star.v3i4.6  

Chimdi, A., Gebrekidan, H., Kibret, K., and Tadesse, A. (2012). Status of selected physicochemical properties of soils under 

different land use systems of Western Oromia, Ethiopia. Journal of Biodiversity and Environmental Sciences., 2:57-71. 

https://doi.org/Corpus ID: 56378966  

Dawit, S., Fritzsche, F., Tekalign, M., Lehmann, J., and Zech, W. (2002). Phosphorus forms and dynamics as influenced by land 

use changes in the sub-humid Ethiopian highlands. Geoderma, 105: 21-48.  

Desalegn, T., Getachew, A., Adella, A., andTolosa, D. (2017). Effect of lime and phosphorus fertilizer on Acid soils and barley 

(Hordeumvulgare L.) performance in the central highlands of Ethiopia. Experimental Agriculture., 53: 432-444.  

Development), G. G. W. A. a. N. R. (2018). Gumer Woreda Agriculture and Natural Resource Development Office.  

Ermias, A., Hussein, S., Laing, M., and Mengistu, F. (2016). Soil acidity under multiple land-uses: assessment of perceived 

causes and indicators, and nutrient dynamics in small-holders' mixed-farming system of northwest Ethiopia. Soil and 

plant science., 14(1): 1-14.  

FAO (Food and Agricultural Organization of the United Nations). (2006). Plant nutrition for food security: A guide for integrated 

nutrient management. FAO, Fertilizer and Plant Nutrition Bulletin 16, FAO, Rome. 348p. 

Gebeyaw, T. (2015). Effect of slope position on Soil Physico-Chemical properties with different management practices in Small 

Holder Cultivated Farms of AbuhoyGara Catchment, Gidan District, North Wollo. American Journal Environmental 

Protection., 3:174-179.  

Gebrelibanos, T., and Mohammed, A. (2013). Effects of land-use/cover changes on soil Properties in a dryland watershed of 

Hirmi and its adjacent agro ecosystem: Northern Ethiopia. International Journal of Geosciences Research.,1(1): 45-57.  

Getachew, A., and Sommer, K. (2000). Optimization of the efficiency of phosphate fertilizers in acidic-ferralitic soils of the 

humid tropics. Ethiopian. Journal of Natural Resources., 2: 63-77.  

Habtamu, A., Heluf, G., Bobe, B., & Enyew, E. (2014). Fertility status of soils under different land uses at Wujiraba watershed, 

North-Western Highlands of Ethiopia. Agriculture, Forestry and Fisheries., 3(5): 410-419.  

Hazelton, P., & Murphy, B. (2007). Interpreting soil test results, What do all thenumbers mean? (2nd edition.). CSIRO 

Publishing.  

Jackson, M. (1958). Soil Chemical Analysis. Prentice Hall, Inc., Engle Wood Cliffs. New Jersey.  

Jobira, D. (2018). Assessment of physicochemical properties of soil under different land use types at wuyegose sub- watershed, 

north shoa zone of Oromia Region, EthiopiaThesis submitted to the school of natural resources management and 

environmental sciences, postgraduate programs directorate, Haramaya University.  

Jones, J. B. (2003). Agronomic Handbook, Management of crops, soils, and their fertility. In. CRC Press LLC.  

Kamprath, E. (1984). Crop response to lime on soils in the tropics. In: Adams F. (ed). Soil acidity and liming.ASA, Madison, 

Wisconsin.  

Kedir, A. (2015). Soil Fertility Assessment and Mapping of Amaregenda-Abajarso Sub-Watershed in DessieZuria District, 

https://
https://doi.org/UTF/ETH/037/ERH
https://doi.org/DOI
https://doi.org/Corpus


Aliyu Nesru et al                                                                                                           Ethiop.J.Sci.Sustain.Dev., Vol. 10 (1), 2023 

60 
 

North-Eastern Ethiopia. MSc Thesis, Haramaya University, Haramaya, Ethiopia.  

Kidanu, M. and  Chimdi, A.  (2018). Availability of Boron, Sulfur and Zinc and status of other selected soil properties under 

acidic soils of different land use types: the case of WayuTuka District, East Wollega Zone. American-Eurasian Journal 

of scientific Research., 17(22). https://doi.org/DOI: 10.5829/idosi.aejaes  

Lenka, P., Luboš, B., Antonín, N., Marcela, R., andVÍT, P. (2007). Altitude and forest type effects on soils in the Jizera Mountains 

region. Soil and Water Research 2(2): 35-44.  

Malo, T., Schumacher, E., and Doolittle, J. (2005). Long-term cultivation impacts on selected soil properties in the northern 

Great Plains. Soil and tillage research., 81: 277-291.  

McLean, E.O., M. R. Heddleson, R. J. Bartlett and N. Holowaychuk. (1958). Aluminum in soils: I. Extraction methods and 

magnitude in clays and Ohio soils. Soil Science Society of American Procedure 22:382-387. 

Mesfin, K., Kebede, F., and Wassie, H. (2020). Fertility status of acid soils under different land use types in Wolaita Zone, 

Southern Ethiopia. Applied and Environmental Soil Science., 2020:.1-9. https://doi.org/10.1155/2020/3713967  

Muche, M., Addis, K.,and Eyayu, M. (2015). Assessing the physicochemical properties of soil under different land use types. 

Journal of Environment,Analytical Toxicology., 5: 309. https://doi.org/: 10.4172/2161 0525.1000309. 

National meteorological agency (NMA). (2017). Monthly total rainfall (mm) and monthly maximum and minimum temperature 

(oC) National meteorological agency of Ethiopia, Southern Zone Awassa at Emdibr station.  

Olsen, S., Cole, C., Watanabe, F., and Dean, L. (1954). Estimation of available P in soils by extraction with sodium bicarbonate. 

In (pp. 1-19). USDA circular: USDA. 

Shoemaker, H., McLean, E., and Pratt, P. (1961). Buffer methods of determining lime requirements of soils with appreciable 

amounts of extractable aluminum. Soil Science Society of American Procedure., 25: 274-277.  

SAS (Statistical analysis system). (1999). The SAS system for windows, version 9.1, Vol.1. SAS Institute Inc. Cary NC., USA.  

Tekalign, M., I. Haque, and E. A. Aduayi. (1991). Soil, plant, water, fertilizer, animal manure, and compost analysis manual. 

Plant Science Division Working Document 13. ILCA, Addis Ababa., Ethiopia. 

Tessema, G. (2008). Assessment of soil acidity in different land uses Types in Ankesha wereda [Research, Addis Ababa 

University]. Addis Ababa.  

Van Reeuwijk, L. (2002). Procedures for soil analysis, International Soil Reference and Information Center, Wageningen, 

Netherlands, 6th edition. 

Wakene, N., and Heluf, G. (2003). Forms of phosphorus and status of available micronutrients under different land use systems 

of Alfisols in Bako areas of Ethiopia. Ethiopian journal of Natural resource., 5:17-37.  

Walkley, A., and Black, C. (1934). An examination of different methods for determining soil organic matter and the proposed 

modification by the chromic acid titration method. Soil science 37: 29-38.  

Wang, L., Tang, L., and Wang, X. (2010). Effects of alley crop planting on soil and nutrient losses in the citrusorchards of the 

Three Gorges Region. Soil and tillage research., 110(2): 243-250.  

Wassie, H., and Boke, S. (2009). Mitigation of soil acidity and fertility decline: Challenges for sustainable livelihood 

improvement: Evidence from southern region of Ethiopia. (In Sustainable land management and poverty alleviation, 

Issue. 

https://doi.org/DOI
https://doi.org/10.1155/2020/3713967