Infiltration Characteristics of Soils under Selected Land Use Practices in Owerri, Southeastern Nigeria

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World Journal of Agricultural Sciences 6 (3): 322-326, 2010 ISSN 1817-3047 IDOSI Publications, 2010 Infiltration Characteristics of Soils under Selected Land Use Practices in Owerri, Southeastern Nigeria G.E. Osuji, M.A. Okon, M.C. Chukwuma and I.I. Nwarie Department Soil Science and Technology, Federal University of Technology, P.M.B. 1526, Owerri, Nigeria Abstract: The infiltration characteristics of soils under four different land use practices were studied in Owerri, Southeastern Nigeria. The land use practices considered were: arable crop land, bush fallow, continuously cultivated land and pineapple orchard. The study aimed at examining the effect of various farming practices on infiltration and determine the degree of relationship between infiltration rates and selected soil properties under different land use practices. The experiment was arranged in a random complete block design which was replicated thrice. The infiltration rates of the soils were measured using the double-ring infiltrometer. Soil samples from these areas were analysed for selected soil physicochemical properties. Data obtained were subjected to analysis of variance, coefficient of variation and correlation and regression analysis.results showed that bush fallow land had the highest average infiltration of 264 mm/hr while arable crop land experienced the least average rate of 164 mm/hr. From the analysis of variance, there was a highly significant difference (p=0.01) in infiltration rates among treatment means. The coefficient of variation was found to be 3.35%. There were appreciable relationships between steady infiltration rates and soil organic matter, bulk density and total porosity in the order r=0.963, -0.898 and 0.899, respectively. Bulk density, however, was found to be negatively correlated with the infiltration rates, sand and clay%, respectively, however, showed an insignificant relationships (p=0.05) with infiltration rates in the order of r=0.026 and 0.085. It was therefore suggested that marginal lands that are fragile and prone to soil erosion and other soil degradation problems be reverted to bush fallow for organic matter build-up. Key words: Infiltration rate Land use Practices Soil Physicochemical Properties Tropical Soil INTRODUCTION profile, texture, porosity, degree of swelling of soil colloids, organic matter, vegetative cover, duration of Water is one of the principal factors limiting the irrigation or rainfall and viscosity of water. Of these, soil growth of plants not only in arid and semi-arid texture is predominant [4]. Soil structure also affects the environment where total crop needs usually exceed water rate of water movement into the soil. Well structured soils supply, but also in the humid environment where poor have optimum infiltration rates at varying moisture levels. rainfall distribution and low moisture availability to plants [5] reported that total porosity does not seem to be bring about water stress [1]. Therefore, there is need for greatly affected by land use. They further observed that good water management practices in order to solve water intensified land use results primarily in a change of soil related problems such as irrigation and erosion control. structure, rather than soil compaction. Infiltration is the movement of water into the soil from The different land use practices adopted in the surface by downward or gravitational flow [2]. The agriculture affect infiltration rates in different ways. When rate at which it occurs is known as the infiltration rate [3], land is put to certain uses, there is an accompanying which mainly depends on the characteristics of the soil. change in the intrinsic properties of the soil and this alters [4] reported that the major soil and water characteristics the hydrological balance of the soil. According to [6] it affecting infiltration rates are: the initial moisture content, was found that infiltration rates into two tropical-forest condition of the surface, hydraulic conductivity of the soil soils of western Nigeria under bush fallow (natural Corresponding Author: G.E. Osuji, Department Soil Science and Technology, Federal University of Technology, P.M.B. 1526, Owerri, Nigeria 322

regrowth) were found to be high when compared to arable crop land. It is a known fact that the use of heavy machines on soil leads to soil compaction. Compact soils tend to have low infiltration rates [7] and thus encourage high run off. Also, various farming activities may affect infiltration in different ways. Thus, this study aimed at examining the effect of various farming practices (Land Uses) on infiltration and also to determine the degree of relationship between infiltration rates and selected soil properties under different land use practices. MATERIALS AND METHODS Study Area: Two adjacent locations were selected for the study; these are Federal University of Technology Owerri Research Farm and Eziobodo both on Latititude 5 25 \ N \ and longitude 7 00 E. Four areas under different land use practices were selected; two from each location. They include: Arable crop land (Inter-cropped with maize and cowpea); Pineapple orchard with three years of cultivation; Bush fallow (under fallow for five years); Continuously cultivated land (Four years of cultivation). The first two sites are located at Federal University of Technology Owerri Research Farm and the last two at Eziobodo. Vegetation type in the area is lowland rainforest. The mean annual rainfall is between 2, 250-3, 000 mm. Rainy season extends from March to November and the distribution is bimodal having two seasons with peaks in July and September. Dry season extends from November to March. Mean relative humidity is between 70-80% during the dry season and 80-90% during the rainy season. The relief is about 61-100 m above sea level. Geology of the area is Coastal Plain Sand, which consists of cross-stratified loose white or yellow pebble sand with grey sandy clay interceptions [8]. The soils are of USDA Soil Order Ultisols [9]. Sample Collection and Preparation: Surface samples were collected at random, using soil auger at 0-20 cm depth. They were air-dried, gently crushed and made to pass through a 2 mm mesh. Sieved samples were stored in unused polythene bags and were labelled appropriately, preparatory to laboratory analysis of selected physical and chemical properties. Determination of Infiltration Rates: Infiltration rates were determined at the sites using double ring infiltrometer as described by [10]. Three infiltrometer tests were carried out on each of the land use types. Before each test was performed, soils samples from the sites were collected randomly from three points. Laboratory Analysis: Bulk density was determined using core samplers [11]. Particle size analysis was done using Bouyoucos hydrometer method [12]. Porosity was calculated from bulk density value. Soil ph was determined using 1:2.5 soil-water ratio with a ph electrode and values were read out from ph meter [13]. Total nitrogen was determined by Kjeldahl digestion method [14]. Organic carbon was determined using Walkley and Black wet oxidation method [15]. Organic matter was then calculated by a factor of 1.724 (Van Bemmelen s Correction Factor). Exchangeable bases were determined using neutral NH4OAC leachate. Exchangeable Ca and Mg were determined by EDTA versanate titration method as outlined by [16]. Exchangeable Na and K were determined by the flame photometer method. Exchangeable acidity was determined by leaching the soil with 1N KCl and titrating with 0.05 N NaOH [16] Available phosphorus was by Bray II method [17]. Data Analysis: Soil data were analysed using correlation and regression analysis in order to estimate the relationship between infiltration rates and selected soil properties. Graphs were also plotted for infiltration rates and accumulated infiltration. The various slopes were used to obtain the infiltration capacities of the soils. An analysis of variance was conducted on the infiltration rates. RESULTS AND DISCUSSION The results of the measured infiltration rates (IRs) are shown in Table 1. The steady IRs for the three replications are shown on Table 3. From Figures 1 and 2, the average steady IRs were 164, 264, 234 and 190 mm/hr for the arable crop land, bush fallow, continuously cultivated land and pineapple orchard, respectively. The analysis of variance which was done using the steady state IRs showed high significant difference (p=0.01) among the treatment means indicating that the steady infiltration rates vary with the different land use practices. The coefficient of variation was 3.35%. From the graph of measured IRs against time for the areas as shown on Figure 1, it is obvious that IRs were at their highest values at the beginning of the experiment, but decreased steadily at different rates. It is also noticeable that the steady state rate occurred between 2.5-3 hrs. Also, graphs of accumulated infiltration against time plotted for the four areas are shown in Figure 2. The slopes of these graphs are the extrapolated values of infiltration rates. These were in the order of: 361, 269, 285 323

Fig. 1: Infiltration rates against time Fig. 2: Accumulated infiltration against time and 221.5 mm/hr for bush fallow, continuously cultivated laboratory for each of the four land utilization types land, pineapple orchard and arable crop land, respectively. such as the bulk density, porosity, organic matter soil A test of significance between the mean of the measured ph, exchangeable acidity, total nitrogen and% base values with that of the extrapolated values using t-test saturation values. There are clear variations in the soil (p=0.05) was done. The difference between the two means physic- chemical properties except in the values of was not significant (t á/2(9) =±2.447; and t cal=-1.948). Though available P and particle size distribution. the values appeared to be different, the high standard Relationship between measured IRs and selected soil deviation value was 36.6 for both the measured and properties indicated that high average IRs were observed extrapolated values accounted for the low value of t cal. under bush fallow and also under continuously cultivated The soils from various study sites were found to land. These can be attributed to such factors as high belong to the sandy loam textural class as shown in organic matter content, low bulk density values and high Table 2. The same Table also shows the results of other total porosity. This could also be explained by the physical and chemical properties determined in the correlation values of IRs obtained in relation to the above 324

Table 1: Average measurement of Infiltration Rates and Accumulated Infiltration for Arable Cropland, Bush Fallow Land, Pineapple Orchard and Continuously Cultivated Land Arable Cropland Bush Fallow Land Continously Cultivated Pineapple Orchard --------------------------------------- ------------------------------------------- ----------------------------------------------- ----------------------------------------- AT WI IR AI AT WI IR AI AT WI IR AI AT WI IR AI (hrs) (mm) (mm/hr) mm (hrs) (mm) (mm/hr) (mm) (hrs) (mm) (mm/hr) (mm) (hrs) (mm) (mm/hr) (mm) 0.05 28 560 28 0.05 41 820 41 0.05 27 540 27 0.05 36 730 36 0.10 24 480 52 0.10 36 720 77 0.10 25 500 52 0.10 32 640 68 0.15 21 420 73 0.15 34 680 111 0.15 22 440 74 0.15 29 580 97 0.20 19 380 92 0.20 30 600 141 0.20 20 400 94 0.20 26 520 123 0.25 18 360 110 0.25 27 540 168 0.25 18 360 112 0.25 24 478 147 0.33 29 349 139 0.33 43 518 211 0.33 28 337 138 0.33 37 448 184 0.42 25 301 164 0.42 43 518 254 0.42 26 313 164 0.42 34 412 218 0.50 24 289 188 0.50 40 482 294 0.50 25 301 189 0.50 32 388 250 0.67 42 251 230 0.67 74 443 368 0.67 46 275 235 0.67 61 364 311 0.83 40 239 270 0.83 69 413 437 0.83 45 269 280 0.83 58 346 369 1.00 36 215 306 1.00 62 371 499 1.00 44 263 324 1.00 54 322 423 1.25 48 192 354 1.25 86 344 585 1.25 64 256 388 1.25 70 280 493 1.50 46 184 400 1.50 82 328 667 1.50 63 252 451 1.50 63 252 556 1.75 44 176 444 1.75 78 312 745 1.75 62 248 515 1.75 62 248 515 2.08 56 170 500 2.00 73 292 818 2.00 61 244 574 2.00 52 308 665 2.42 55 166 555 2.33 91 276 909 2.33 79 239 653 2.33 65 196 730 2.75 54 164 609 2.67 88 268 997 2.67 77 234 730 2.67 63 190 793 - - - - 3.00 87 264 1084 3.00 77 234 867 3.00 63 190 856 AT=Accumulated Time; WI=Water Intake; IR=Infiltration Rate; AI: Accumulated Infiltration. Table 2: Physicochemical Properties of Soils from Various Sites Sand Silt Clay TC BD ph TP OM TN BS 2+ Ca Mg + K Na 3+ Al +H ECEC 2+ + + ------------------------------------ -------------------------------------- ------------------------------------------- ------------------------------------ --------- Sample % 3 g/cm % me/100gsoil ppm Av.P ACL 83.2 2.0 14.8 SL 1.43 6.8 46.04 0.62 0.058 90.2 4.40 2.80 0.092 0.104 0.80 8.196 28.2 BF 83.2 2.0 14.8 SL 1.32 6.2 50.19 1.24 0.098 68.1 4.00 2.40 0.236 0.191 3.20 10.027 28.8 CCL 81.2 1.0 17.8 SL 1.40 6.3 47.17 0.90 0.028 65.7 2.80 1.60 0.087 0.104 2.40 6.991 30.0 PO 81.2 2.0 16.8 SL 1.42 6.6 46.42 0.76 0.070 76.2 3.60 1.20 0.133 0.183 1.60 6.716 28.0 ACL=Arable Crop Land; BF=Bush Fallow; CCL=Continuously Cultivated Land; PO=Pineapple Orchard; TC=Textural Class; BD=Bulk Density; TP=Total Porosity; OM=Organic Matter; TN=Total Nitrogen; BS=Base Saturation; ECEC=Effective Cation Exchange Capacity; and Av.P=Available Phosphorus. Table 3: Steady infiltration rate values obtained from the three replications of the infiltration tests Replications Arable Cropland Bush Fallow Continuously Cultivated Land Pineapple Orchard I 174 264 240 186 Ii 156 258 228 198 Iii 162 270 234 186 Total 492 792 702 570 Table 4: Correlation and regression analysis of average steady state infiltration rates with selected soil properties Soil property r 2 r Regression line Organic matter 0.963 0.928 Infiltration rate= 70.1 + 161.7 Organic matter Bulk density -0.896 0.806 Infiltration rate= 1330.73-802.68 Bulk density Total porosity 0.899 0.809 Infiltration rate= -797.8 + 21.3 Total porosity %Sand 0.026 0.00068 Infiltration rate= 130.8 +% Sand %Clay 0.085 0.00722 Infiltration rate= 172.6 + 2.52% Clay Soil ph -0.906 0.821 Infiltration rate= 7.58-0.0054 Soil ph Exchangeable acidity 0.995 0.990 Infiltration rate= -2.9 + 0.023 Exch. Acidity mentioned properties as shown in Table 4. The implication texture of sandy loam, other factors can interplay to cause is that the variation of IRs in these areas is apparently due significant difference in infiltration rates. The study also to variation in these properties. The texture of the soils showed that changes in Land use do not significantly did not exert any influence on the IRs of these areas. affect the texture of soils. This was corroborated by [5]. These can be seen in the low values of the correlation of Infiltration rates in these areas were also observed to IRs with sand and clay% which are 0.026 and 0.085 have affected the ph of the soil and exchangeable acidity respectively. Saxton et al. [4] stated that the influence of values. The high correlation coefficient of -0.906 and 0.995 texture on infiltration rates predominates other factors. of infiltration rates with ph and exchangeable acidity This is however not consistent with the findings of this respectively portrays a high degree of relationship study. This study revealed that even with the same between IRs and these soil properties. High IRs results to 325

low soil ph and high amount of exchangeable acidity. 6. Wilkinson, G.E. and P.O. Aina, 1976. Infiltration of This is because the more the hydrogen ions from rain water into two Nigerian soils under secondary water readily displaces the basic cations of these test forest and subsequent arable cropping. Geoderma, sites. This results in an increase in the amount of 15(1): 51-59. dissociable hydrogen ions which in turn is responsible for 7. Chancellor, W.J., 1977. Compaction of soils by the low ph values and high exchangeable acidity. agricultural equipment. Division of Agric. Sciences, CONCLUSION 8. University of California, Bulletin, 1: 881. Orajaka, S.O., 1975. Geology. In: Nigeria in Maps: Eastern States (G.E.K. Ofomata, ed.). Ethiope The research work shows that different land use Publishers. Benin city Nigeria, pp: 5-7. practices affect the infiltration rate of the soils. This is due 9. Federal Department of Agricultural Land Resources to their effect on the intrinsic properties of the soil. 1985. The reconnaissance soil survey of Imo state, However, the very low correlation coefficient obtained Nigeria (1:250,000), Soil report, 133. with sand and clay% reveals that texture does not 10. Bertrand, A.R. 1965. Rate of water intake in the field. account for any significant variation in the infiltration st In: Methods of Soil Analysis. Part I, 1 ed. Eds., rates under these conditions. Also, it was found that C.A. Black et al. Agron. Monogr. 9. ASA-SSSA, different land use practices have no significant effect on Madison, W.I., pp: 197-209. the soil texture. Infiltration rates were also observed to 11. Grossman, R.B. and T.G. Reinsch, 2002. Bulk density affect the ph and exchangeable acidity values of the soils. and linear extensibility. In: Methods of the Soil Finally, based on the results of this study, bush Analysis part 4. Physical methods. Eds., Dane,.J.H. fallow encourages high infiltration rates. Therefore, it is and Topp, G.C. Soil Sci. Soc. Am. Book Series No.5, suggested that marginal lands that are fragile and prone ASA and SSSA, Madison, WI., pp: 201-228. to soil erosion and other soil degradation problems be 12. Gee, G.W. and D. Or, 2002. Particle size distribution. reverted to bush fallow for organic matter build-up. This In: Methods of Soil Analysis, Part 4. Physical may not be practicable in many places due to the methods. Eds., Dane, J.H. and Topp, G.C. Soil Sci. increasing population of the country which continues to Soc. Am Book Series No.5, ASA and SSSA, place land on very high demand. Alternatively, practices Madison, WI., pp: 255-293. involving the use of surface ameliorants such as compost 13. Hendershort, W.H., H. Lalande and M. Duquette, manuring and mulching should be incorporated into our 1993. Soil reaction and exchangeable acidity. In: Soil farming systems to increase organic matter build-up and Sampling and methods of soil analysis. Eds., Carter subsequently soil aeration and porosity. M.R.. Canadian Soc. Soil Sci., Lewis Publishers, London, pp: 141-145. REFERENCES 14. Bremner, J.M., 1996. Nitrogen-Total. In: Methods of nd. Soils Analysis, Part 3, chemical method. 2 Edition, 1. Wild, A., 1993. Soil and the environment; an Ed., Sparks, D.L, Soil Science Society America Book introduction. Cambridge University Press. Series No. 5, SSSA, Madison, W.I., pp: 1085-1121. 2. Osuji, G.E., 1984. Water storage, water use and maize 15. Nelson, D.W. and L.E. Sommers, 1982. Total carbon, yield for tillage systems on a tropical Alfisol in organic carbon and organic matter. In:Methods of Nigeria. Soil and Tillage Res., 4: 339-348. soil analysis, part 2, Eds., Page, A.L, Miller, R.H. 3. Barrow, C., 1987. Water resources and agricultural and Keeney, D.R. Am. Soc. Agron, Madison WI., development in the Tropics. Longman, UK. pp: 539-579. 4. Saxton, K.E., W.L. Rawls, J.S. Rosenberger and R.I. 16. McLean, E.V., 1982. Aluminum, In: Methods of Soil Papendick, 1986. Estimating generalized soil water Analysis, Part 2, Eds., Page, A.L., Miller, R.H. and characteristics from texture. Soil Sci. Soc. Amer. J., Keeney, D.R. Am. Soc. Agron, Madison, WI., 50: 1031-1036 pp: 978-998. 5. Taylor, M., M. Mulholland and D. Thornburrow, 17. Olson, S.R. and L.E. Sommers, 1990. Phosphorus In: 2009. Infiltration Characteristics of Soils Under Methods of Soil Analysis. Parts 2, Ed., Page, A.L. Forestry and Agriculture in the Upper Waikato Agron., Monogr. No. 9 Madison, WI., pp: 403-431. Catchment. Report: TR/18 http:// www.ew.govt.nz/ publications/ Technical-Reports/ TR-200918/. 326