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Land Suitability Evaluation of Soils of Bayelsa State for Oil Palm Production

  • Adaobi Uchenna Onyechere
  • Ogechi Mercy Okorocha
  • Emmanuel Uzoma Onweremadu
  • Chioma Mildred Ahukaemere
  • Bernadine Ngozi Aririguzo
  • 175-182
  • Sep 23, 2023
  • Public Health

Land Suitability Evaluation of Soils of Bayelsa State for Oil Palm Production

Ogechi Mercy Okorocha1, Emmanuel Uzoma Onweremadu2, Chioma Mildred Ahukaemere3, Bernadine Ngozi Aririguzo4 and Adaobi Uchenna Onyechere*5

1,2,3,4Department of Department of Soil Science and Technology, Federal University of Technology Owerri, Nigeria.

5Department of Soil Science, University of Agriculture and Environmental Sciences, Umuagwo, Imo State, Nigeria.

*Corresponding Author

DOI: https://doi.org/10.51584/IJRIAS.2023.8814

Received: 26 July 2023; Revised: 06 August 2023; Accepted: 23 August 2023; Published: 23 September 2023

ABSTRACT

Selected soils of Bayelsa State were evaluated for oil palm production using FAO land suitability classification. Eight pedons were sunk on each the three geomorphic features found in Bayelsa State. A total of twenty-four pedon were investigated and soil samples were taken to the laboratory for routine analysis. The average of the results from each geomorphic unit was calculated.  Results of the physicochemical properties of soil showed that soils of Mangrove Swamp Deposits (MSD) and Sombreiro Warri Deposit (SWD) were characterized by sandy texture while the texture of soils of Recent and Sub-recent Alluvial Deposits (RSA) were loamy sand. Soil pH ranged from strongly (3.9) to moderately (6.2) acidic. Organic matter reduces down the profile. Effective cation exchangeable capacity (E.C.E.C.) ranged from 3.34-7.28cmol/kg while base Saturation ranged from 33 – 48.6%. From the land suitability results, rainfall and temperature were highly suitable while relative humidity was moderately suitable for oil palm production. The texture was marginally suitable in RSA while it was not suitable in MSD and SWD.  For soil fertility characteristics, the major limitation affecting oil palm production was the C.E.C. which placed these soils in suitability class N1 (Not Suitable). Organic matter was another serious constrain to oil palm cultivation in RSA.

KeywordsOil Palm, Land evaluation, Soil fertility, Land suitability.

INTRODUCTION

There is need to make adequate strategic plans in order to sustain food production for the growing population in Bayelsa State (Okorocha et al, 2023). The major problem of agricultural development in this area is poor knowledge of the suitability of the soils to support arable crop production. Land evaluation match the land use to the land qualities and this is a sure way to minimize the risk of farming (Udoh et al., 2011). The Food and Agricultural Organization (FAO) framework for land evaluation (FAO, 1976) is capable of identifying the most limiting land qualities which will provide a good ground for educating the farmers on the best management practices that will give the optimum food production in their region.

Oil palm is a major crop in international trade that is capable of boosting the economy of a State. It is a major crop that had contributed extensively to the external earning of the country in the past (Ajiboye et al., 2015). Oil palm can live for so many years and every part of it is useful to man (Okolo et al., 2019). However, there is less information on land quality of the soils of Bayelsa State which will expose the agronomic capability of the study area. Bayelsa State has been over dependent on crude oil activities commonly known as black gold to the utter neglect of agriculture over the years. This is because most studies on soils of Bayelsa state have been concentrated on oil and gas deposits; as a result, information on soils for land evaluation purposes for crop production is scanty in Bayelsa State. With the increase in depletion of soil nutrients in most soils of upland and the need to study other soil types for agricultural productivity, there is need to effectively harness the underutilized wetland soils of Bayelsa for effective agricultural activities.

The aim of this study is to evaluate the suitability and limitation of soils of Bayelsa State for the optimum and sustainable production of oil palm with the view of establishment of intensive production of this crop in this region.

MATERIALS AND METHODS

Description of the Study Sites

The study was conducted in Bayelsa State in the Niger Delta, Nigeria (Figure 1). The state lies within Latitudes 4° 30’to 4° 39`00’’ North and longitude 6° 11’to 6° 16`00” East. Soils of the study sites are derived from geologic materials of Fluvial and alluvial materials which are recent and sub- recent deposits of alluvium incorporated with humus (Ayolagha, 2001). The climate is tropical and Köppen-Geiger climate classification is Af. The average annual temperature is 26.0 °C | 78.9 °F (in) while the precipitation is about 2909 mm | 114.5 inch annually and it is within the equatorial rainforest region.

Field Study

The geology map aided the selection of sampling sites using target sampling techniques. Eight profiles were established on each of the three parent materials namely Sombreiro/Warri Deltaic Deposits (SWD), Mangrove Swamp Deposits (MSD), and Recent and Sub Recent Alluvium (RSA). A total of 24 profile pits was dug, delineated and described according to FAO (2006) guideline. The samples collected were taken to the laboratory for standard routine analysis.

Figure 1: Location map of Bayelsa state

Soil Analysis

Soil samples collected from the field were air dried, pulverized and sieve with 2 mm sieve. Some physical and chemical properties were analysed from the processed soil following procedures outlined by Van Reeuwijk (2002). Hydrometer method was used for particle size analysis. pH meter was used to determine the pH of 1:2.5 water suspension of the soil sample. Nelson and Sommer method was used to determine the organic carbon content. Bray No. 11 was used to determine available Phosphorus. Total Nitrogen was determined by micro-Kjeldahl digestion method. Neutral ammonium acetate (NH4OAc of pH 7) was used to extract exchangeable bases. Titration with ethylene diamine tetra-acetic acid (EDTA) was used to determine calcium and magnesium while flame photometer was used to determine sodium and potassium.

Land Evaluation and Data Analysis

Means of the data generated from the laboratory results were used to evaluate the soils base on Storie method (Storie 1978). The conventional land evaluation techniques as described by FAO (1976) and modified by Sys, (1985; 1991) were used (Table 1). The environmental factors considered in the evaluation include, climate (annual rainfall relative humidity and temperature), topography (slope and erosion hazard) and soils. The bases for soil evaluation include soil texture, soil depth, coarse material, drainage.  Soil fertility factors considered include total nitrogen, organic matter, cation exchange capacity, base saturation, pH (H2O) and organic carbon (Table 1). The most limiting factor determines the overall suitability for each soil. The soil units classified as highly suitable (S1), moderately suitable (S2), marginally suitable (S3) and currently not suitable (N1) base on the limiting factors.

Table 1: Land requirements for the production of Oil palm (Elaeis guinensis)

Land requirements/Land characteristics Land Suitability Class
S1 S2 S3 N1
Climate (c):
Annual rainfall (mm) 1700 – 2500 1450 – 1700 1300 – 1450 1300-1250
Relative humidity (%) >75 65-75 62-65 60-62
Temperature (oC) >22 20-22 18-20 <16
Topography (t):
Slope (%) <8 8 – 16 16 – 30 >30
Erosion hazard(eh) Very low Low –moderate Severe Very Severe
Wetness (w):
Drainage Well drained Moderately drained poorly drained Poorly drained
Soil Physical Characteristics (s):
Texture (surface) CL,L SCL LS, SL Any
Soil depth (cm) >125 75 – 100 50-75 < 50
Coarse material (%) <15 15 – 35 35 – 55 >55
Fertility (f):
Total Nitrogen (g/kg) >1.5 1.0-1.5 0.5-1.0 < 0.5
Organic matter(g/kg) >8.0 5.0-8.0 3.0 – 5.0 < 3
Cation exchange capacity (cmol/kg) >16 12–16 8 – 12 5 – 8
Base saturation (%) >20 15- 19 10 – 14 <10
pH H20 6.0-7.0 5.0 –  7 4.0-5.0 < 4
Organic carbon (%), 0-15cm > 0.8 0.5 – 0.8 0.3 – 0.5 < 0.3

Source: FAO (1976) modified by Sys, (1985). CL = Clay loam, SL = Sandy loam, LS = Loamy sand, SCL = Sandy clay loam.

RESULTS AND DISCUSSION

Physicochemical properties of the soils studied

The mean result of the physicochemical Properties was shown in Table 2. Sand varied from 880 – 940 g/kg, 930 -970 g/kg and 820 -890 g/kg in soils underlain by Mangrove Swamp Deposits (MSD), Sombreiro Warri Deposit (SWD) and Recent and Subrecent Alluvial Deposits (RSA) respectively, implying that sand particle was greater in MSD than others. According to the rating of Wielding et al. (1994) which stated coefficient of variability (CV) of ≤15%, >15≤35% and >35% as low, moderate and high respectively, sand content of all the soils were homogenously distributed since they had CV ≤15%. Sand was also shown to increase slightly with depth in MSD and RSA while it was a decrease with depth in SWD.

Table 2: Physicochemical Properties of the Soils Studied

Depth (cm) Sand (g/kg) Clay (g/kg) Texture pH (H20) OC (g/kg) OM (g/kg) TN (g/kg) TEB (cmol/kg) ECEC (cmol/kg) Bsat (%)
 MANGROVE SWAMP DEPOSITS (MSD)
0-8 890 30 sand 3.9 51 87.9 3.55 3.46 6.02 48.6
28-Aug 880 50 sand 4 50 86.2 3.62 3.4 6.22 48
28-56 980 50 sand 5.5 28 48.2 3.58 3.73 5.69 41.4
56-90 930 20 sand 6 8 13.7 2.21 3.42 5.54 37.6
90-130 940 10 sand 6.2 2 3.4 0.7 3.7 5.55 43.2
CV 4.4 55.9 21.5 82.2 82.3 46.9 4.5 5.2 32.5
 SOMBREIRO WARRI DEPOSIT (SWD)
0-20 970 10 sand 4.6 14.8 25.51 1.59 2.68 6.04 33
20-43 940 40 sand 4.5 12.6 21.72 1.22 2.96 7.05 36
43-80 930 40 sand 4.8 13.8 22.06 1.26 3.22 7.28 40
80-110 930 50 sand 4.7 11.3 19.48 1.11 2.74 6.34 40
110-220 960 10 sand 4.2 5.1 8.79 0.45 2.62 6.94 40
CV 1.9 62.4 5 33.2 32.7 37.1 8.7 7.7 8.4
 RECENT AND SUBRECENT ALLUVIAL DEPOSITS (RSA)
0-25 860 40 LS 6 10.2 17.5 0.9 2.16 4.16 42.2
25-80 820 40 LS 5.8 10.8 18.6 0.8 2.37 4.17 40.6
80-110 870 30 LS 5.9 0.6 1 0.1 1.43 2.23 34
110-130 890 30 sand 5.5 0.7 1 0.1 1.61 2.81 35.3
CV 3.4 16.5 3.7 102.1 103.5 91.6 23.5 29.3 10.5

OC-organic carbon, OM-organic matter, TN- total nitrogen, TEB- total exchangeable bases, ECEC- effective exchangeable bases, Bsat- base saturation, LS- loamy sand, CV- coefficient of variation

On the other hand, clay fractions varied from 10- 50 g/kg, 10- 50 g/kg and 30-40g/kg in MSD, SWD and RSA respectively with coefficient variation down the profile being high in MSD and SWD, moderate in RSA. Distribution pattern of clay with depth was irregular in MSD and SWD while it decreased down the profile in RSA. This is in agreement with the observations made by Idoga, (2002) and Ugwu et al, (2001) where they asserted that clay content generally increases with depth due to some pedogenic processes such as lessivage, eluviations, and illuviation as well as the contribution of the underlying geology through weathering. Also, soils of MSD and SWD were sand textured while RSA was dominated by loamy sand texture. According to Abagyeh et al., (2016), sandy loam texture is sub-optimum for most crop cultivation. All the soils were generally acidic (pH< 7). The coefficient of variation (CV) was low in RSA (3.7%) and SWD (5.0%) and moderate variation (21.5%) in MSD. Variation of pH in the soils was irregular with depth with a range of 3.9-6.2, 4.2-4.8 and 5.5-6.0 in Mangrove Swamp Deposits (MSD), Sombreiro – Warri Deltaic Deposits (SWD) and Recent and Subrecent Alluvial Deposits (RSA) respectively, indicating that soils of SWD were more acidic than others. According to James (2010), this range of pH recorded indicated a moderate acid reaction. According to FAO (1998), moderately acidic soils may be deficient in phosphorus, calcium, magnesium and molybdenum. Effectively, pH plays an important role in the biological activity of the soil and the availability of mineral nitrogen to plants, thus reflecting a synthetic indicator of the chemical fertility of the soil (Isitekhale, 2014; Diallo et al., 2015). The pH of the soil can influence the efficiency of plant growth in the soil as well as the bioavailability of crop nutrients, the activity of microorganisms, and is related to toxiurban risk (Diallo et al., 2015).

Organic carbon (OC) and organic matter (OM) contents of the soils were shown to decrease with depth in all soil pedons and with degree of variation being high (CV>35%) in MSD and SWD, and moderate (CV>15≤35%) in RSA. OC ranged from 2- 51 g/kg, 5.1-14.8 g/kg, and 0.6 – 10.8 g/kg while OM ranged from 3.4 – 87.9 g/kg, 8.79 – 25.51 g/kg and 1.0 – 18.6 g/kg in MSD, SWD and RSA respectively. According to the ratings of FAO (2004), values recorded for OC and OM is very high in MSD and SWD and low in and RSA. The low organic carbon content of RSA may be due to continuous cropping, bush burning, high erosive rate, grazing and poor management of the soils as attributed by Ogbu et al. (2019). Total nitrogen followed similar pattern with OC and OM with highest value of 3.55 g/kg recorded at the top soil of MSD followed by SWD (1.59g/kg) and least value was found in RSA (0.9g/kg). It was also shown that total nitrogen (TN) was widely distributed (CV>35%) down the profile in all the soils (Table 2). Following the rating by Landon (1991), soils of RSA and SWD were low in TN content while MSD was moderate. This implication of this results is that crops grown in the soils are likely to require N-application. TEB was higher in epipedon and showed low variation down the profile in soils of MSD and SWD. Its distribution ranged from 3.4-3.73 cmol/kg, 2.62-3.22 cmol/kg and 1.43-2.37 cmol/kg in MSD, SWD and RSA respectively. The low exchangeable bases of these soils may be due to the underlying materials, intensity of weathering, leaching, low activity clay, very low organic matter content and the lateral translocation of bases (Krasilinikoff et al., 2003). Similar to TEB, variation of effective cation exchange capacity (ECEC) of the soils down the profile was low in MSD and SWD while RSA showed moderate variation. Effective cation exchange capacity (ECEC) decreased irregularly with depth. Highest value (7.28 cmol/kg) was recorded in soils of SWD. The relatively low values of effective cation exchange capacity (ECEC) could be attributed to the low activity clay characteristics of 1:1 clay minerals, probably dominated by Kaolinite (Adesemuyi, 2014). Percentage base saturation (BS) ranged from 37.6- 48.6%, 33-40% and 34-42.2% in MSD, SWD and RSA respectively, implying that basic cations were more saturated in soils of MSD than others. BS also showed low variation down the profile in soils of SWD (8.4%) and RSA (10.5%) and moderate variation (CV=32.5%) in soils of MSD. However, the soils were generally low in base saturation (> 50 %) indicating that the exchange sites of the complexes (clay and humus) were less dominated by basic cations (Abagyeh et al., 2016).

Land Suitability Evaluation for Oil palm production

Land suitability evaluation is the process of assessing the suitability of land for specific kinds of use (Ufot, 2012, Brady and Weil, 2014). Suitability of the soils for oil palm production in the study area was evaluated (Table 3). Climatic and topographic characteristics of the study area as well as results of selected physicochemical properties of the studied soils (Table 1) were marched against FAO (1976, 1983 and 1985) recommendations to obtain the suitability of the soils for oil palm production. According to Table 3, mean annual rainfall, temperature and slope were highly suitable (S1) while relative humidity and erosion hazard were moderately suitable (S2) in all locations. However, flooding and drainage were highly suitable (S1) for oil palm production in all the soils exception being Sub-Recent Alluvial Deposits (RSA) that showed moderate suitability. Under soil physical characteristics, soil texture was presently non-suitable (N1) in soils of MSD and SWD while it was marginally suitable (S2) RSA. In all the soils, soil depth was highly suitable. Based on soil fertility, total N concentration was marginally suitable in MSD and RSA and moderately suitable (S2) for soils of SWD.  Organic matter was highly suitable in MSD, moderate suitable in SWD and presently non-suitable in RSA. According to Yimer et al. (2007), inappropriate farming practices can seriously degrade soils and can significantly lower concentrations of organic matter and total nitrogen in soil. While cation exchange capacity in all soils was presently non-suitable (N1), base saturation was highly suitable for oil palm production.

Table 3: Land suitability assessment for Oil palm (Elaeis guinensis) production in the mangrove swamp deposits

Land requirements/Land characteristics  Land Suitability Class
MSD SWD RSA
Climate (c):
Annual rainfall (mm) S1 S1 S1
Relative humidity (%) S2 S2 S2
Temperature (oC) S1 S1 S1
Topography (t):
Slope (%) S1 S1 S1
Erosion hazard(eh) S2 S2 S2
Wetness (w)*:
Flooding S1 S1 S2
Drainage S1 S1 S2
Soil Physical Characteristics (s):
Texture (surface) N1 N1 S3
Soil depth (cm) S1 S1 S1
Coarse material (%) S2 S2 S2
Fertility (f):
Total N (g kg-1) S3 S2 S3
Organic matter(g kg-1) S1 S2 N1
Cation exchange capacity (cmol-kg-1) N1 N1 N1
Base saturation (%) S1 S1 S1
pH (H20) S2 S3 S2
Overall suitability N1 (s, f) N1 (s, f) N1 (f)

Soil pH (H20) was shown to be moderately suitable in soils of both MSD and RSA whereas suitability was marginal in SWD. The overall suitability of the soils was rated presently non-suitable (N1) for oil palm production with limitation in soil physical characteristics and fertility. This confirm results of Oluwatosin (2005) who reported that low fertility, erosion hazard and drainage are factors limiting productivity of savannah soil for crop production. Similarly, Ajiboye and Olaniyan (2016) reported that oil palm production was actually not suitable in all the pedons sampled in Cross River State

CONCLUSIONS

It could be concluded from the findings of this study that soil physicochemical properties varied across the soils studied. Soil properties that support crop production were higher at the epipedon than subsoils. The climate, topography and wetness were suitable however, texture, one of the soil physical characteristics and poor soil fertility made the soils of Bayelsa presently not suitable for oil palm production.

REFERENCE

  1. Abagyeh, S. O. I., Idoga, S., and Agber, P. I. (2016). Land suitability evaluation for maize (Zea mays) production in selected sites of the Mid-Benue valley, Nigeria. International Journal of Agricultural Policy and Research Vol.4 (3), pp. 46-51, March 2016. Available online at http://www.journalissues.org/IJAPR/http://dx.doi.org/10.15739/IJAPR.16.007
  2. Adesemuyi, E. A. (2014). Suitability Assessment of Soils for Maize (Zea mays) Production in a Humid Tropical Area of South-Western Nigeria. International Journal of Advanced Research 2(2): 538-546.
  3. Ajiboye G. A. and Olaniyan J. O. (2016). Characteristics and suitability evaluation of the “white soils” of Etung local Government area for oil palm and plantain production. Agrosearch (2016) 16 No. 2: 25-40.
  4. Ajiboye, G.A., Jaiyeoba, J.O., Olaniyan, J.O. and Olaiya, A.O. (2015). Characteristics and suitability evaluation of the soils of some major cocoa growing areas of Nigeria: Etung LGA of Cross River. Agrosearch, 15 (1), 101-116.
  5. Ayolagha, G.A. (2001). Survey and Classification of Yenagoa meander belt soils in the Niger- Delta. In Proceedings of the 27th Annual Conference of Soil Science Society of Nigeria 5-9th Nov. 2001 Calabar, Nigeria.
  6. Brady, N.C and Weil, R.R. (2014). The Nature and Properties of Soils’ 14th ed. Prentice Hall. New Jersey, USA. 960pp
  7. Diallo, M.D., Ndiaye, O., Minda, M.S., Tine, A.K., Diop, A., Guisse, A., (2015b). Etude comparative de la salinité de l’eau et des sols dans la zone nord des Niayes (Sénégal). Afr. Crop Sci. J. 23 (2), 101–111.
  8. FAO (1998). Guidelines for quality management in soil and plant laboratories, by L.P. van Reeuwijk & V.J.G. Houba. FAO Soils Bulletin No. 74.
  9. FAO (2004). Food and Agriculture Organization, FAO (2004). A Provisional Methodology for Land Degradation Assessment. FAO. Rome
  10. FAO (2006). Guideline for soil description. FAO Production year book, Vol.60, Rome, Italy. Pp 109
  11. FAO (Food and Agricultural Organization) (1976) – A framework for land evaluation. Soils Bulletin 32. FAO, Rome. Soils Resources Development and Conservation Service Land and water Development Division Food and Agriculture Organization of the United Nations Rome, Italy 89.
  12. FAO, (1983). Guidelines: Land evaluation for rainfed Agriculture. Soil Resources Management and Conservation Services, Land and water Development Division Rome. Food and Agriculture Organization Soil Bulletin, 52 pp 237.
  13. (1985) Guideline: land evaluation for irrigated agriculture. FAO Soils Bulletin, No. 55, Rome Google Scholar
  14. Idoga, S. (2002). Characterization and Effects of Hamaterm Dust on the Soils of Lower Benue Valley, Nigeria. Unpublished Ph.D. Thesis, Dept. of Soil Science UAM, Benue State, Nigeria. 130pp.
  15. Isitekhale, H.H.E., Aboh, S.I., Ekhomen, F.E., (2014). Soil suitability evaluation for rice and sugarcane in lowland soils of Anegbette, Edo State, Nigeria. Int. J. Eng. Sci. 3 (5), 54–62
  16. James R, (2010). Irrigation Water Greenhouses and Nurseries. University Arkansas, Division of Agriculture, Agriculture and Natural Resources.
  17. Krasilnikoff G, Gahoonia T, Nielsen NE. (2003). Variation in phosphorus uptakeefficiency by genotypes of cowpea (Vigna unguiculata) due to differences in rootand root hair length and induced rhizosphere processes.Plant and Soil251:83–91.
  18. Ogbu O. J, S. Idoga and J. Usman. (2019). Land Suitability Evaluation of the Wetland Soils of Obukiyo, Oju LGA of Benue State, Nigeria for Rice (Oryza sativa) Production. Nigeria Journal of soil science. 29 (1) 2019 1-11
  19. Okolo C.C., Okolo E.C., Nnadi A.L., Obikwelu F.E., Obalum S.E. and Igwe C.A. (2019). The Oil Palm (Elaeis guineensis Jacq): Nature’s Ecological Endowment to Eastern Nigeria. Journal of Tropical Agriculture, Food, Environment and Extension, Volume 18 Number 3. Pp. 48-57
  20. Okorocha O. M., Onweremadu E. U., Ahukaemere C. M., Aririguzo B. N., and Onyechere A. U. (2023). Current and Potential Soil Suitability for Cassava for Sustainable Production in Varying Soils of Bayelsa State Nigeria. International Journal of Research and Innovation in Applied Science. 8, Issue 7, Pp 48-57
  21. Oluwatosin, G.A. (2005). Land Suitability Assessment in Continental Grits of Northwestern Nigeria for Rainfed Crop Production. West African Journal of Applied Ecology, 7:53–67.
  22. Storie (1978). Storie index for soil rating (Revised). Spec publ. 320, Div. Agric Sci. Univ. Calif., USA. [Describes the concepts and explains the latest version of Storie index]
  23. Sys, C. (1985). Land evaluation part 1-111 247p publication No7 of the General Administration of Cooperative Development. Place de champs de mars 5, Biote 57, 1050 Bruxelles.
  24. Sys, C. (1991). Land evaluation and crop production. Agricultural publication. No.7. General Admin for Development Corporation, Brosels: 247.
  25. Udoh, B.T., Henry, H.B., Akpan U.S., (2011). Suitability evaluation of alluvial soils for rice and cocoa cultivation in an acid sand area of southeastern Nigeria. Journal of innovative research in engineering and science. 1(1) pp. 148-161.
  26. Ufot, U. O. (2012). Soils and the Environment for Colleges and Universities, Shadow Publishers Ltd, Owerri, Nigeria 1634p.
  27. T. O., Ibadan, I.J., Lekwa G.and Ucheagwu,H.M.(2001). The Soils of Basement Complex Toposequence of the Jos Plateau, Nigeria Journal of Soil Science, 27:5-25.
  28. Van Reeuwijk, L.P (2002). Procedure for Soil Analysis. International Soil Reference and Information Center (ISRIC) / (Food and Agricultural Organization): Wageningen. Pp 120.
  29. Wielding, L.P., J. Bouma, and Boss. D.W. (1994). Impact of Spatial Variability on Interpretative Modelling. In: Bryant R.B. and R.W. Arnold-              Quantitative Modeling of Soil Forming Process. SSSA Special Publ.,
  30. Yimer, F., Ledin, A., Abdelkadir, (2007). Changes in soil organic carbon and total nitrogen contents in three adjacent land use types in the Bale Mountains, south-eastern highlands of Ethiopia. For. Ecol. Manage. 337–342.

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