soil erosion problems on an a~isol in western nigeria and their cOltrol by R.Lol liTA MONOGRAPH NO.l soil erosion problems on an aifisol in western niger~a and their control by R. Lal II TA MONOGRAPH NO. 1 APPROVED FOR PUBLICA nON (MAY. 1975} 1st Published 19'76 Reprinted 1979 Table of Contentl Li st of Illustrations (plates).. •• .. •• vi List of Illustrations (Figures) •• •• .. " vii Li st of Tables.. •• xi List of Appendices .. ,. .. .. .. .. .. .. xv Foreword.. .. .. .. •• .. •• ., .. .. •• .. .. xvi i Acknowledgements .• .. .. .. .. •• .. .. xix Introduction.. .. .. .. .. .. .. ....,' 1 Runoff plots: location, Design and Construction 3 Resul ts of the Preliminary Experiments .. " .. 11 Treatments .. .. .. .. .. •. •• .. .. .. .. .. .15 Rainfall characteri sties.. .. .• •• .. .. .. 19 Soi I and water losses for different slopes and soil management practi ces .. .. .. .. .. •. .. 25 Mulching effects on runoff and soil loss ...... .. ·41 . Rainfall erosivity and soil erosion.. .. .• " .. 53 Effect of slope I ength on runoff and soi I loss .. 71 Nutrient loss in water runoff .. .... .. .. .. .. 77 Nutrient Joss in eroded sediments '" .. .. 95 Properties of the eroded sediments in relation to the original. soi I ........ . .. •• .. .• .. 107 - Changes in soil physical dlaracteristics and crop yield as a result of erosion .. .. •• •• ' .. 117 ' lIlt of IIlu/tratlonl (Plate/) Plate 1.1 Runoff plot construction and collection equipment: (a) Collection system with apron and sill installed toward the lower md of the plot. In the bottom right hand si de in the upper portion is the Neutron Probe Access Tube .............. .. 5 (b) Bare fallow plot with complete runoff collection system. In the center of the plot is a non-recording rai n gauge ..~................. 5 (c) Close up of the flume, a 900 V-notch, still well and water level recorder .. .. .. •• .. .. .. .. 6 (d) Sedimentation and storage tank with two screens and a di vi sor system in the last compartmen t.. .. 6 (e) Multi-divisor system and an over-flow tank. .• .. 7 (f) A complete over·view of the retaining wall, trench and collection system. 7 (g) An over-all view of the crops being grown in the runoff plots .. •• •• .. .. .. •• •• .. .. 8 Fig.l.a Relationship of rainfall distr i bution wi th soil erosion hazard in West Africa. 1 Fig.l.' The approximate locations of runoff plots of di fferent slopes along a topo sequence. 3 Fig.5.l Rainfall intensity distribution of storms from 1972 to 1974. 20 Fig.S.2 Rainfall intensity distribution during a stann with the peak intensity occurring in its beginning. 21 Fig.5.3 A storm with a low initial intensity and a sec- ond peak immediately following a high peak. 22 Fig.5.4 A composite storm with two separate intensity peaks spaced widely apart. 22 Fig.6.l Influence of soil management crop rotations and slope on soil erosion in 1972. Note that V-axis is a log scale. 32 Fig.6.2 Influence of soil management crup rotations and slope on soi I erosion in 1973. Note that V-axis is a log scale. 33 Fig.7.1 Effects of mulch rate, no-tillage system and slope on soil erosion in the first season, 1974. 45 Fig.7.2 Effects of mulch rale, no-tillage system and slope on soi I erosion in the second season, 1974 46 Fig.7.3 Mulch factor for runoff and soil erosion. 48 Fig.7.4 Influence of degree of slope on mulch factor for soi I erosion under different mul ch rates and no-tillage system. 49 Fig.8.l Cumulative distribution of erosivity index Aim from Ibadan. If one does not divide the R.H.S. of Almequation, the numerical value of Aim (cm 2! hr) and EI30 (foot-tons per acre-inch) are i denti cal. Hence it does not matter how is K factor computed either by Aim or E130. 64 viii Soil erosion problems on an al/isol ;n Western Nigeria Fig.a.l An hypothetical iso-erodent map for West Africa. 65 Fig.8.3 Cumulative distribution of El30 index for Ibadan 65 Fig.8.4 Monthly distribution of EI30 index for Ibadan. 66 Fig:a.5 Relationship between (EI30/100) in foot-toni acre and Aim (cm2/hr) for individual storm. 66 Fig.8.6 Changes in soil erodibility factor(K) with time after forest clearing. 68 Fig.9.1 Slope characteristics and slope length of runoff plots at 10 and 15 percent slopes. 72 Fig.10.1 Effects of slopes, crop rotations and residue management on loss of total nutri ent el ements i n runoff water in 1972. 79 Fig.1O.2 Effects of slopes, crop rotations and residue management on loss of total nutrient elements in runoff water in 1973. 80 Fig.l0.3 Loss of N03-N in runoffwater atdifferent stages of crop growth as influenced by soil manage- ment and crop rotation treatrrents. 85 Fig.l0.4 Loss of nutrient elements such as P,K, Ca and Mg in water runoff at different stages of crop growth. 85 Fig.10.S Relative nutrient concentration in runoff water from different treatments of soil management and crop rotation. 86 Fig.10.6 Relative nutrient concentration in surface runoff and sub-surface inter-flow water. 87 Fig.l0.7 Changes in the concentration of NOJ-N, P and K at different times after ferti lizer application. 89 Fig.10.8 The effects of different mulch rates and slopes on total nutrient elements loss in runoff water. 90 Fig.n.l Effects of slopes and crop rotations on total nutri ent loss in eroded sediments during 1972. 96 Fig.1l.2 Total loss of organic carbon in the eroded sedi- ments in 1972. 97 Fig.11.3 Total loss of organic carbon in the eroded sedi- ments in 1973. 97 Fig.11.4 Effect of mulch rates on total loss of organiC carton in the eroded sediments in the fi rst season, 1974. 103 List of Illustrations (Figures) lX Fig.l1.5 Effect of mulch rates on total loss of organic carron in the eroded sediments in the second season, 1974. 103 Fig.12.1 Changes in the textural composition of surface soil from 1972-1974 as compared to that of the eroded sediments. 108 Fig.12.2 Influence of soil slope on concentration of gravel s, sand, si It and cl ay in the eroded sedi- ments. 109 Fig.12. 3 Soil moisture retention characteristics of eroded soi I as compared wi th that of surface soi I sam- ples obtai ned from the rune ff plots. 110 Fig. 12.4 Changes in the enri chment ratio of organi c car- bon and total nitrogen with time. 111 Fig.12.5 Effects of soil slope on the enrichment ratio of some nutrient elements. t 12 Fig.B.1 Infiltration capacity of the soil as influenced by time after forest clearing under different soil management and crop rotation treatments. 118 Fig.13.2 Changes in texture of the soil in bare fallow plots during 1972-1973. 119 Fig.13.3 Soi I moisture retention characteri sties as in­ fluenced by soi I managertEnt and crop rotation treatments. 121 Fig.13.4 Relative maize yield during 1972 and 1973. 122 fig.13.S The influence of artificial soil removal on yield response of maize (Zea mays l.) and cowpeas (Vigna unguicuJata). 123 I. t ~ . ~ , J~ o~ Tabl e 2.1 Slope characteristics of each run-off plots. 4 Tabl e 3.1 Effect of crop cover and mulching on run-off (an), September - December, 1970. Total Rainfall .. 29.5 em. 11 Table 3.2 Relative Soil loss under Different Vegeta- tion and Crop Cover (Relative to Natural Vegetation plot of 1% slope). 11 Table 3.3 Particl e size distribution of the composite samples of the eroded sediments. 12 Table 3.4 Nutrient Concentration in the runoff water (ppm)(Average of two rain storms). 12 Table 3.5 Total nutrient loss in run-off water (kg/Ita! season). 12 Table 3.6 Nutrient contents of the composite sample from eroded sediments (ppm). 13 Tabl e 4. T Soil and crop management treatments for 1972-73. 15 Table 4.2 Treatment allocation to run-off plots for 1972-73. 16 Table 4.3 Treatment allocation for 1974. 17 Tabl e 6.1 Effect of slope and soi I management on run-off loss (mm). First season 1972. 26 Tabl e 6.2 Effect of slope and soil management on run-off loss (mm). Second season 1972. 26 Table 6.3 Effect of slope and soil management on run-off los s (mm). Fi rst season 1973. 26 Table 6.4 Effect of slope and soil management on run-off los s (mm). Second season' 973. 26 Table 6.5 Run-off slope relations 1972. 27 Table 6.6 Run-off slope relations 1973. 27 Table 6.7 Run-off slope relations 1972 28 Table 6.8 Run-off slope relations 1973 28 Tabl e 6.9 Slope run-off relations for each season for maize-co~ea (no-tillage) and cowpea- maize(plowed) treatments. 29 List of Illustrations (Tables) Xl Table 6.10 Crop and soi I management facto r. 30 Table 6.11 Crop and soil management factor for dif- ferent stages of growth (based on 1973 records) 30 Table 6.12 Effect of slope and soi I management on soil loss (tons/ha). First season 1972. 31 Table 6.13 Effect of slope and soil management on soil loss (tons/ha). Second season 1972. ·31 Table 6.14 Effect of slope and soil management on soil loss (tons/ha). First season, 1973. 31 Table &.15 Effect of slope and soil management on soil loss (tons/ha). Second season, 1973. 31 Table 6.16 Multiple regression of soil loss with slope, 1972. 34 Table 6.17 Soil -loss-slope relationships, 1973. 35 Table 6.18 Soil loss-slope relationships, '972. 35 Table 6.19 Soil loss-slope rei alion ships, 1973. 36 Table 6.20 Slope soi I loss rei ations for each season for maize-maize (no-tillage) and cowpea- maize (plowed) trealments. 37 Table 6.21 Effect of soi I and crop management on soi I loss. 37 Table 6.22 Effect of different stages of growth of rnai ze on soi I erosion. 38 Table 7.1 Effect of mulch rate on runoff loss (mm), First season, 1974. 43 Table 7.2 Effect of mulch rate on runoff 10 s s (mm), Second season, 1974. 43 Table 7.3 Mulch rate and runoff, multiple regression analysi s. 44 Table 7.4 Slope· runoff r~lations for di fferent mulch rates.(High rainfall) 44 Table 7.5 Slope- runoff relations for different mulch rates. (Low rainfall). 46 Table 7.6 Mulch tate and soil loss, multiple regres- sion analysis. 47 Table 7.7 Slope-soil loss relations for different mulch rates. 47 Table 7.8 Slope-soil loss relations for"different mulch rates. 50 Table 7.9 Mul ching effects on soil I 0 5 sunder diffe rent slopes (Mut cll factor) 50 Table 7.10 Mu I ching effects on runoff under di fferent slopes (Mulch Factor). 50 xii Soi l erosion problems on an alfisoC in Western Nigeria Table 8.1 Correlation coefficient and linear regres~ sion equations for runoff and soil loss from bare fallow with amount of rainfall and relating runoff and soil loss from one slope to that of others 1(1972). 56 Table 8.2 Correlation coefficient and linear regres­ sion equations for runoff and soil loss from bare fallow plot 5 wi th amount a f rain fa II and relating runoff and soil loss from one 57 slope to thai of others(1973). l- Table 8.3 Correlation coefficient and linear regres­ sion equations for runoff and soil loss from barefallowplots with amount of rainfall and relating runoff and soil loss from one slope to that of others (1974). 58 Table 8.4 Correlation coefficients and regression equations relating rainfall amount A with erosivity indices (1973). 59 Table B.S Correlation coefficient (r) of run-off at dif­ ferent slopes (%) with various indices(1972) 59 Table 8.6 Correlation coefficient (r) of run-off at dif­ ferent slopes (%) with various indices(1973) 50 Table 8.7 Correlation coefficient (r) of run-off at dif­ ferent slopes (1%) with various indices(1974) 50 Tabl e 8.8 Correl atian coeffi ci ent (r) of soi I loss at different slopes (%1) with various erosi- vityindices(1972). 61 Table 8.9 Correlation coefficient (r) of soil loss at di fferent slopes (1%) with various erosi- vity indices (1973). 61 Table B.l0 Correlation coefficient (r) of soil loss at di fferent slopes (1%) with various erosivHy 62 indices (1974). Table 8.11 Correlation coefficients of various erosi- vity indices with runoff and soil loss. 62 Table 8.12 Weighted mean average correlation coeffi­ cient (1) of various erosivity indices with runoff and soi I loss from 10% slop e p 10 t with barefallow treatment. 64 Table 8.13 Computation of Aim and Ebo index for a rainstolTTl on 16th June, 1972. E = (foot-ton per acre inch) ~ 91& + 331 log,ol (where I == inch/hr.) 67 List of Illustrations (Tables) x iii Table 9.1 Effect of contour length on runoff and soil loss under maize-cowpea rotation. First season, 1972. 73 Table 9.2 Effect of contour length on runoff and soil loss under maize-cowpea rotation. First season, 1973. 74 Tabl e 9.3 Effect of contour I ength on runo ff and soi I los s under bare fallow treatrrent. 74 Table 10.1 Nutrient loss in runoff water (kg/ha) for di fferen t slopes and soi I management treat- ments. (First season 1972). 82 Table 10.2 Nutrient loss in runoff water {kglha) as affected by different slopes and soil man­ agement treatments. (Second season 1972).82 Table 10.3 Nutrient loss in runoff water (kglha) as affected by different slopes and soil man­ agerrent treatments. (Fi rst 5 eason 1973). 83 Table 10.4 Nutrient loss in runoff water (kg/ha) as affected by di fferent slopes and so iI man­ agement treatments. (fiecond season 1973). 83 Table 10.5 Contour length and nutrient loss (kglha) in run-off. First season 1972. 84 Table 10.6 Contour length and nutrient loss in water kg/ha. First season 1973. 84 Table 10.7 Nutrient loss in run-off water (kg/ha) at different mulch rates (tons/ha). First sea- son, 1974. 91 Table 10.8 Nutrient loss in run-off water (kg/ha) at different mulch rates (tons of straw/ha) Second season, 1974. 91 Table 10.9 Effect of slope length on nutrient loss in water run-off under bare fallow. First sea- son, 1974 92 Table 10.10 Effect of slope length on nutrient loss in water run-off under bare fallow. Second season, 1974. 92 Table 11.1 Nutrient loss in eroded soil (kg/ha) as affected by different slope and soil man- agemen t treatments. First season, 1972. 99 Table 11.2 Nutrient loss in eroded soil (kg/ha) as affected by di fferen t slope and soi 1 man­ agement treatments. Second season, 1972. _99 XlV Soil erosion problems on an alfisol in Western Nigeria Table 11.3 Nutrient loss in eroded soil as affected by slope and soil managements. First season, 1973. 100 Table 11.4 Nutrient loss in eroded soil as affected by slope and soil managements. Second sea- son, 1973. 100 Table 11.5 Contour length and nutrient loss in eroded soil (kg/ha). First season, 1972. 101 Table 11.6 Contour length and nutrient loss in eroded soil (kg/ha). Second season, 1972. 101 Table 11.7 Contour I ength and nutrient loss in eroded soil (kg/ha). First season, 1973. 101 Table 11.8 Contour length and nutrient loss in eroded 50i I (kg/ha). Second season, 1973. Table 11.9 Effect of mulch rate (ton/ha) on nutrient loss (kg/ha) in eroded soil (First season, 1974). 102 Table 11.10 Effect of mulch rate (ton/ha) on nutrient loss (kg/halin eroded soil, Second season. 1974. 102 Table 11.11 Effect of contour length on nutrient loss (kg/ha) in eroded soil. First season. 1974. 104 Table 11.12 Effect of contour I ength on nutrient loss (kg/ha) in eroded soil. Second sea5On.1974 104 Table 12.1 The erosion ratio as affected by slope and soil management treatments. 109 Table 12.2 Soil moisture equivalent (99-1) of Hie eroded sediments as compared to the field soil. 110 Table 12.3 Average enrichment ratio for different nutri- ents. 111 Table 12.4 Soil chemical properties. February 1972. 113 Table 12.5 Effect of soil management and cropping sequence on chemical ~haracteri sti cs of the soil (0·10 em layer) July 1974. 114 Table 13.1 Soil moisture retention at different suc­ tion 5 for bare fallow plot at 24 percent slope. 121 Table 13.2 Effect of depth of soil removed on root development. 124 fA n 129 Appendix 1a Run - off and soi I loss records for individual rainstorms during 1972. Appendi x lb Run - off and soi I loss records for individual 135 rainstorms during 1973. Appendix lc Run - off and soi I loss records for individual. 141 rainstorms during 1974. Appendix 2 Texture of the eroded sediments from bare 147 fallow plots for individual rainstorms. Appendi x 3 Appendix erosivity indices. 155 Appendix 4a Soil moisture records for 1972. 161 Appendix 4b Soil mol sture records for 1973. 187 Appendix 4c Soil moi sture records for 1974. 204 Soil erosion is a major impediment to the development of successful. continuously productive farming systems for the humid tropics. The prob­ lem has been understood qualitatively for many years, but attempts to control erosion with measures successfully used in subtropi cal and temperate areas have often failed. On e reason is that the information on whi ch the design of erosion~ control systems must be based is not available in the humid tropics. Extrapolation of information gathered in other areas of the world is sd~ dom satisfactory. The problem is further complicated by the fact that erosion-coRtlOl mcasUlcs developed for subtropical and temperate legions are based on relatively expensive land-development methods. The returns from production of food crops in the humid tropics are often not suffi cient to bear the costs. One alternative is to leave the agricultural lands of the humid tropics under the forest or tree crops. This solution, however, fails to respond to the need for more food to meet the demands of rapidly increasing popula~ tions. In much of southern Asia, the response to the soU-erosion problem has been to leave the more erodible upland areas under forests or under limi ted cultivation and to develop valleys and estuarine areas for rice production, with careful water management. This, again, is a solution, but the problems involved in developing land for paddy rice production take many years to re~lve. In Asia,as in many other parts of the humid tropics, there is an urgent need to develop methods for crop production on upland areas better able to control ero sion. The real choi ce is between acquiring the knowledge upon whi ch sound land,use practices can be based or seeing the desperate need for food {Olce people into unsatisfactory exploitati'Ve and degradative use of soils, wi th the result that they become unproducti ve and pressure on the land increases further. xviii Soil et'Qsion problems on an C11fisol in Western Nigeria To collect some of the infonnation needed to develop economic meth~ ods of arable farming which are also free from erosion hazard of humid tropical areas, a detailed study of soil erosion in relation to food crop production was started at the International Institute of Tropical Agricul~ ture, (IITA) Ibadan, Nigeria, in 1970. This monograph presents details of those experiments, including information on th e rela tion between soil~ management systems and soil loss. The results show clearly the supe, riority of no,tillage mulch-faaming techniques and of intercropping, the practices widely used by indigenolls fanners in these areas. It is now n eceSSaIY to extend these results to oth er parts of the hum id tropics, to determine how widely the Nigerian results can be generalized and what modifications may be necessary tor other soil types and climates. DENNIS J. GREENLAND Director of Research, IITA Acknowledgementl The author is grateful to Prof. D.]. Greenland for his helpful comments, suggestions and for reading the manuscript. My special thanks are due to Messrs R.A.Woodis and J.O.Oyekan for editing the report and to Mr. J. G. H. Craig for help in constructing the runoff plots. The help received from Drs. B. N. Okigbo, T. Little, M. Garber and T. L.Lawson is also acknowledged. Thanks also to the staffs of the Analytical Services Labo-­ ratory and the Communi cations and In forma tion section 0 fthe In temational Institute of Tropical Agriculture (lIT A). This monograph is dedicated to the field staff of soil physics section, who worked hard after every rain to collect the information which made this report possible; Soil erosion becomes a serious problem in the humid tropics when continuous farming replaces shifting cul ti vation and bush fallow. Soil erosion includes both physical removal of surface soil and deterioration in soil physical properties resulting in low productivity. Failure to appre~ date the significance of the soil erosion problem can lead not only to large areas of shallow, badly eroded and unproductive soil in the tropics, but also to the replacement of forests by savannah. The areas of West Africa where potential erosion problems exist are shown in Fig. 1.0. Areas wi th annual rainfall higher than 1000 mm. are subject to erosion when forests are removed for intensive and large-scale mechanized agriculture. fZ1 Areas su sooptibie to rainfall erosion. III Areas susceptible when ;± vegetation cover is removed Fig. 1.0 Relationsnip of rainfall distribution with soil erosion hazard in West Africa. This report describes in detail the results of a series of fi eld experi~ ments conducted at the International Institute of Tropical Agriculture (lIT A), Ihadan, Nigeria. These experiments were conducted On al f; "",I", and the results may be applicable to similar soil anel r];~ elsewhere in the tropics. • 2 Runoff Plot/: Location, De/tqn and Con/tructlon Westem State of Nigeria lies roughly between longitudes JO and 6 0 east and latitudes 6° and go north with an average rainfall of 1100 to 1300 mm. Because of the bimodal pattern of rainfall distribution there are t"o growing seasons. The first growing season, from late March to late July, ends in a short dry spell that lasts about one month; the shorter second season begins in late August and ends in December. Run-off plots were. constructed on well drained soi I s belonging to Egbeda series (Smyth and Montgomery, 1962). These soils are derived from fine-grained biotite gneiss and schist parent materials . They are medium-to-light textured near the surface, with sandy-clay to clay sub­ soil and a layer of angular and sub-angular quartz gravel immediately below. These soils are classified as Oxic Paleustalf (USDA), Ferric Luvisol (FAG) or alfisols. Details of the pedological, physical and chemi­ cal soil characteristics for these and similar soils are described in an­ other report (Moomann, Lal and Juo, 1975). The run-off plots were located on natmal slopes along a toposequence (Fig.l.!). There are, therefore, local variations in soil texture among and within the slopes. wlathe, • .,tton 500 qt., Fig. 1.1 The approximate locations of runoff plots of different slopes along a toposequence. 4 Soil erosion problems on an ulf/sol in Western Nigeria Run-off and Soil Los s \1 easurin9 Sy s tem Four runoff plots were constructed on natural slopes of arout 1, 5, 10 and t5%. The exact slopes [or each of the plots are shown in Tabl e 2.1. All plots were 25 x 4 m with aIm buffer zone be tween adjacent plOlS. There were five plots on each slope, with two additional plots 12.5 m and 37.5 m long on the 10 and 15% slopes. Table2.t. Slope characteristi cs of each run-off plots Slope l%) Nota- Exact Slope Plot No. Plot length (mJ Rem arks (;on in the Text 9-0 t 1.80 25 2 1 1.30 25 3 1 1 .10 25 4 1 1.00 25 5 1 0.88 25 6 5 4.72 25 7 5 5.12 25 8 5 5.48 25 9 5 5.68 25 10 5 5.68 25 11 10 8.76 25 12 10 9.28 25 13 10 9.72 25 14 10 9.88 25 15 10 10.12 25 Old termite hi ll cov eri ng 4 m 2 area 16 10 9.33 37.5 Compl ex slope 17 10 10.00 12.5 18 15 19.20 12.5 Concave slope 19 15 13.44 37.5 Compl ex slope 20 15 14.92 25 21 15 14.40 25 22 15 14.16 25 23 15 14.36 25 24 15 14.64 25 Each plot was constructed with an impervious asbestos edging extend­ ing 30 em below and 15 cm above the ground on both sides to prevent run­ off entering from outside. The top edging consisted of 30 em asbestos Runoff plots: Locat ion, Design and Conslnlction 5 sh eeting below th e ground and a IS-cm-hi gh earth embankment lh a t made it possibl e to cu lti vate th e soil with a s ma il tractor. The plot edging was attach ed to the so il- and wa ter-coll ec tion system at th lower ide . The soil- and water- co ll ec tion sys tem was insta ll ed be low till' groun d urrace and was a modi fication of th a t des cribed by Wiltsh ire ( 1947 , 194 ) and shown in Plate 1. a - g below : (a) Collection system with apron and sill installed toward th e lower end of the plot. In the bottom righ t hand side in the upper portion of the Neutron Probe Access Tube. (b) Bare fallow plot with complex runoff coll ect ion system. In the center of the plot is a non-recording rain gauge. 6 Soil erosion problems on an allisol in Western Nigeri a (c) Close up of the flume, a 90° V-notch, sill well and water I evel recorder. (d) Sedimentation and storage tank with two screens and a divisor system in the last compartment. ,R unoff plots: Loca tion, Design and Constmction 7 (e ) Multi-divisor system and an over-f low tank. (f) A complete over-view of the retaining wall , trench and coil ection system. 8 Soil erosion problems on an al/isol in Western Nigeria (g) An over-all view of the crops being grown in the runoff plots. ( i) Apron and Sill : Runoff and eroded soil pass over a 4 x 0 .5-m level modification sill fixed in the ground by a 15--cm deep extens ion. Runoff water is concentrated in the cen ter, from where it passes to an apron and flume. Some of the soil carried in th e runoff water can be deposite lo ver this level sill. The apron is 0.5 m wide, 1.0 m long and IS cm hi gh. A mesh screen of 5 x 5 mm at th e entrance of the apron was in s tall ed to prevent stOnes or crop residu e material from entering the flum e. ( ii) Flume : A 90° V-notch flume was installed within th e apron to ml'a­ sure th e rate of flow. The height of wa te r flowing through th e V-no tch is recorded using a still well system and an automatic water level reco rder. (iii) Sedimentation Tattll : Runoff from the rate-meas uring flum e passes into the sedimentation tank. Sedimentation tank consists of a rectangular box 120 cm long, 70 em wide and SO cm deep. Th e s edim entati on tank is divided into three equal portions . In the first portion is a silt trap , a tray 60 cm long, 30 cm wide and 30 cm deep. Also install ed in th e ed im nla­ tion tank are two screens of 5 and 8 mesh to an in ch. Afl er lh e \\a ler is filtered through the silt trap and the two screens , it passes inlo th e las t compartment consisting of a [lartitioning device. Th e -sedim enlation tank was installed on a le vel surface. Runoff Partiliorrir19 Devi ce: Twenty- fi ve coppe r tubes 2. 5 em in Lli a­ meter and 10 em long were in s tall ed 40 em a bove th e bo ttom o f the th irLl Rwwff plots: Location, Design and 'Construction 9 compartment of the sedimentation tank. Runoff from the central tube is collected into an overflow tank. OlJerJlow Tank : The overflow tank consists of an oil drum 58 em in dia­ meter and 90 em deep. A drain pipe installed 5 em above the tank bottom facilitates drainage of excess material. Drainage System : Sedimentation and o'/erfiow tanks were installed in a trench dug aeross the lower end of the plots. The vertical surface toward the runoff plots is supported by a retaining wall. The trench base is cemented and has a 1 % slope. The drainage is provided through an under­ ground pipe. Subsurface Water Collection System : The inter,flow water in the 15% slope plots can be collected at a depth of I m. Horizontal drain pipes were installed at the lower end of the plot at 100 and ISO-em depth. The collection of inter-flow water is facilitated by pipes 2.5 em in diameter installed through the retaining wall. Neutron Probe Access Tubes : Soil-moisture measurements in each plot are made with the help of the neutron moderation technique. Neutron probe access tubes were installed about 1 m from the upper and lower ends of the plots. 1n tile experiments reported here soil- moisture con tents were measured weekly at 30-cm intervals hom the 30, to nO-em depth. One field cali bJation was done for each of the four slope plots. Soil hetero­ geneity may introduce error in the calculations of absolute moisture con' tent lor various plots within each slope. The Neutron equipment used for these measuremen ts was the TorxIer Model 104-A. Weather StaLiotJ: A weather station was installed at the highest point within the same toposequence. A self-recording rain gauge (Belfort Model 5-780), an ordinary rain gauge, an American class A pan evaporimeter, a pyreliograph (Bel fort), a hygrothennograph and an anemometer were installed in this station. The plot sizes and the capacity and desil;l of the soiL- and water­ collection system were based on preliminary experiments conducted on an adjacent location during 1970. 10 Soil eros;onproblems on an alfisol in Western Nigeria • REFERENCES 1. Moormann, F. R., R. Lal, and A. S. R. 1uo (1975) Soils of JITA. IITA Technical Bulletin No.3, 1975. 2. Smyth, A. J ., and R. F. Montgomery (1%2). Soils and land use in Central Western Nigeria. Govt. Printer, lbadan, Nigeria. 3. Wiltshire, G. R. (1947). Runoff plots and Standard Runoff and Soil loss measuring equipment used in Ihe New South Wales Soil (,.onservation Service. J. Soi t Conserv. Servo N. S. W. 3: 171-178. 4. Wi]tshirc,G. R. (1948). The measurement s of runoff and Soil Loss from Plot experiments. J. Soil Conser\,. Servo N.S.W.4:40-44. • 3 Preliminary runoff experiments were conducted during 1970 on 25m x 3m plots on the four slopes mentioned in the previous section. The soil, and water~ collection system was not installed. Runoff was coll ected in p]astic,lined trenches at the lower end of the plots . The results. at best , are only approximate and of only relative importance. The effects of different crops on run a ff losses are shown in Table 3.1. Soi 1 losses under different treatments were not measured for all stonn s . Soil losses from different treatments relative to natural vegetation for two rainstorms are shown in Table 3.2. About 60% of the eroded soil consisted of sand and gravels (Tabld.3). Table 3.1. Effeet of crop cover and mulching on run~off (eml, September­ December, 1970. Total Rainfall = 29.5 em. Slope Maize MfJize-Cowpea Bush % Maize (MulChed) Alternate Strips Regrowth 1 1.9 0.6 2.1 0.5 5 11.9 2.3 12.1 0.4 10 12.5 1.7 6.5 0.5 15 5.2 0.5 7.3 0.6 Table 3.2. Relative Soil Loss under Different Vegetation and Crop Cover (Relative to Natural Vegetation plot of 1% slope) Slope Maize Maize Maize-C owpeas Bush % (Mulched} A Itemate Strips Regrowth 329 2 104 1.0 5 374 24 337 1.5 10 352 0.5 125 2.0 15 348 0.8 53 2.0 12 Soil erosion problems on an alfisol i71 Western Nigeria Average nutrient concentrations in the runoff water of two storms are shown in Table 3.4. The concentration of inorganic P waS generally low; the concentrations of Ca and K, high. The average nutrient losses for all slopes and for all crops are given in Table 3.5 . . Table 3.3 Particle size distribution of the composite samples of the eroded sediments. Stope Gravel % Sand Silt ClaV 96 4nm 2.38-4mm 2-2.38mm % % % 1 16 11 5 29 29 10 5 4 4 3 45 28 16 10 14 9 5 39 23 10 15 16 8 3 42 25 6 Table 3.4. Nutrient concentration in the run-off water {ppm} Average of two rai n storms f Slope Maize Maize (mulch) Maize-Cowpea Bush regrowth % P Na Co K P Na ea K P Na Co K P Na ea II 1 0.1 1.5 21.8 5.2 0.1 1.8 4.3 5.0 0.1 2.5 35.0 16.50.11.3 2.7 1.7 5 0.2 2.3 14.5 8.4 0.3 1.7 4.5 10.9 0.1 2.0 29.5 10.70.1 1.5 2.6 2.1 10 0.7 1.7 5.6 7.9 0.3 1.7 1,4 2.1 0.5 2.4 5.8 4.5 0.42,2 1.6 2.8 15 0.5 1.1 1.8 3.0 2.1 1.4 2.1 4.5 2.2 La 2.7 3.8 0.6 1.6 1.4 2.3 Table 3.5. Total nutrient loss in run·off water (kgl1la/season). Crop P04'P Ca K Na Maize 0.3 7.3 5.6 1.4 Maize (mulched) 0.2 0.4 0.8 0.2 Maize-Cowpea (Alternate strip) 0.5 12.4 5.5 1.3 Bush Regrowth 0.1 0.1 0.1 0.1 During one growing season 0.1 to 12 kg/ha of Ca and 0.1 to 6 kg/ha of K were lost. The maximum loss of inorganic P was 0.5 kg/ha. The relative nutrient concentrations in eroded soil (Table 3.6) indi­ cate that most or the nutrient loss in runoff water is associated with eroded sediments. The concentrations of P, Ca and K in the fine fraction Results of the Preliminary Experiments 13 Table 3.6. Nutrieot contents of the composi te sample frorr eroded sediments (ppm) Slope Coarse / Maize Ma ize (mulch) Maize·Cowpea Bush Regrowth % fint! p Ca K P Ca K P Ca K P Ca K C 4.4 390 25 4.0 450 60 4.6 563 53 1.4 410 53 F 18.1 9B5 58 9.3 955 105 11.1 950 62 3.9 475 105 5 C 3.9 275 58 2. 0 213 38 1.6 475 94 1,4 325 51 F lB.l 788 98 2.3 775 101 28.1 1113 128 5.5 725 70 10 C 4.2 320 18 4.9 180 22 2.9 170 26 9.2 125 16 F 28.1 995 102 13.5 775 132 9.2 745 90 8.2 790 90 15 C 33.4 248 58 4.6 204 35 9.8 234 51 4.7 138 21 F 65.3 1515 154 10.9 1060 168 53.0 690 103 14.7 1135 82 C = Corse fraction F = Fine fraction (<2mm) were double those in the coarse fraction. The K content of the eroded soil from the mulched~maize plots was generally higher than that of the soil eroded from the unmulched~maize plots. Conclusions: - From these preliminary results, the following conclusions were drawn: (i) The runoff plots should at least be 4m wide with a buffer zone of 1 m between adjacent plots. (ii) Runoff and erosion losses from mulched plots were significantly lower than those from unmulched plots and were equal to those from plots with bush regrowlh. (iii) Nutrient losses in runoff water were not high,though relative nutrient concentrations might present a potential pollution hazard. (iv) Most of the nutrient losses occurred in eroded soil, particularly in the finel fraction of the eroded sediments. Based on these conclusions, permanent runoff plots were designed and constructed during 19'71. Plot design, con struction and layout are shown in Chapter 3. It was also evident that straw mulching of the soil surface might be an erosion preven ti ve practice and some techniques of managing residue to produce mulch il1~sitll may prove important cultural practices for fanning systems in the tropics. The treatments designed for the pe.rrna~ nent runoff plots were based on these preliminary findings. • Treabnentl Experiments on the permanent runoff plots were conducted from 1972 to 1974. Soil~ and crop~managernent treatments for the 1972 and 1973 expeliments are shown in Table 4.1. First-season crops were planted on 10 April; second season crops, on 10 August. Crops were planted in rows running up and down the slope. Maize was planted at 75 cm between and 25 cm within the rows and recei ved 120 kg/ha of N (1/3 at planting and 2/ 3 four weeks after) and 60 kg/ha each of P and K. The mulched plots received 6 ton/ha of rice straw, applied on the surface after planting. No~tillage plots were treated with paraquat (l~ 1 dimethyl 1~4, +bypridinium ion) at the rate of 2.5 t!ha applied one week before planting. All other plots were disk~plowed and harrowed. Because the soil had been disturbed during plot construction and there was no crop residue on the soil surface, the no~tillage plots were not effectively treated during the first season of 1972. The runoff and erosion results reported, therefore, have to be evaluated as results for disturbed, unmulched soil~surfaces. Treatment allocations for 1972 and 1973 were randomized as shown in Table 4.2. Table 4.1. Soi I and crop management treatments for 1972-73. Treatment No. First season Second season Bare fallow Bare fallow 2 Maize (mulch) Maize (mulch) 3 Maize (con\lentional plowing) Maize (conv. plowing) ~. Maize (no tillage) Cowpeas ( no tillage) 5 Cowpeas (conventional plowing) Maize (conv. plowing) 16 Soil erosion problems on an alfisol in Western Nigeria Table 4.2. Treatment allocation to run-off plots for 1972-73. Run-off plots no, Treatment No Treatment description 2 maize-maize (mulch) 2 3 maize-maize (conventional plowing) 3 1 bare fallow (conventional plowing) 4 4 ma;ze-cowpeas (no tillage, herbicide weed contro I) 5 5 cowpeas-maize (convention al plowing) 6 4 ma;ze-cDwpeas (no tillage, herbi c ide weed control) 7 2 maize-maize (mulch) 8 3 maize-maize (conventional plowjng) 9 4 cowpeas-maize (conventional plowing) 10 bare tal low (conventional plowing) 11 1 bare fallow (conventional plowing ) 12 2 mai ze-mai ze (mulch) 13 4 maize-cowpeas (no tillage, her~icide weed control) 14 5 cowpeas-maize ( conventional plowi ng ) 15 3 maize-maize (conventional plowing ) 16 6 maize-cowpeas (convent ional rlowing j 17 6 ma;ze-cowpeas (conventional plowing) 18 E maize-cowpeas (conventional plowing ) 19 6 maize-cowpeas (conventional plow i ng) 20 4 maize-cowpeas (no tillage, herbicide weed control ) 21 2 maize~maize (mulch) 22 4 cowpeas-maize (conventional plowing ) 23 3 maise-maise (conventional plowing) 24 bare fallow (conventional plowing) No crops were grown during 1974 and the plots received different rates of surface mulching. Runoff and soil losses from plots with mulch rates of 0, 2, 4 and 6 tons/ha were compared with those from the no~tillage plots. All 120 kg/ha of N and 60 kg/ha of each of P &1 K_ Th ese experi­ ments were rallied out for two consecuti ve seasons. Treatmen t allocations for L974 are shown in Table 4.3. Treatments 17 Table 4.3. Treatment allocation for 1974. Run-off p lot No. Mulch treatment (tonslha) 1 6 2 2 3 o 4 No-ti Ilage 5 4 6 No-ti Ilage 7 6 8 2 9 4 10 o 11 o 12 6 13 No-tillage 14 4 15 2 16 o 17 o 18 o 19 o 20 No-tillage 21 6 22 4 23 2 24 o Soil and runoff water from each of the plots were collected after every storm. Eroded sediments from each plot were dried and processed sepa­ rately for physical and chemical analyses. A representative sample of the runoff water from each stonn was collected to detennine sediment densi ty and nutrient concen tration. • 5 In addition to rainfall amount, rainfall intensity, distribution of storm intensity, kin etic energy, momentum and drop size are important para~ meters affecting soil erosion . Intensity : The frequency distrilxrtion of rainfall intensity for 1972 to 1974 is shown in Figure 5.1. The 7.5~minute maximum intensities of 61 % of the rainstonns in 1972 and 57% of those during 1973 were between 25 and 75 mm hr~1 Seventy~six percent of the storms during 1912 and 66 % of those during 1973 had maximum intensities greater than 25 mm hr~l. Intensities exceeding 75 mm hr ~1 were recorded for 15% of the rainstorms during 1972 and 10% of those during 1973. 1ntensities greater than 100 mm hr~l were recorded for 7% of the storms during 1972 and 3% of those during 1973. The 7.5~minute maximum intensities of 48.3% of the rainstorms during 19']4 were greater than SOmm hr~l Twenty~one percent of the stonns had maximum intensities greater than 75mm hr~1 About 14% of the rainstorms­ had intensiti es greater than 100mm hr-l~ half of those with intensities of 130mm hr~1 Rainstorm int ensity rarely exceeds 75mm hr-1 in temperate climates. Tropical rainstorms , however, are more intens e . As the data in Figure 5.1 indicat e, 15, 10 and 30% of storms during 1972, 1973 and 1974 respec­ ti~'ely , had intensities greater than 7Smm 1.u~l.StoIIn8 with rainfall inten~ sHies greater than 130 mm hr~l were also observed. Inten silY Dis triburiml : Some storms have their highest intensities in the begiIming and lowest intcnsities during later stages. For example, an intensity of 213mm hr~l was recorded during the first five minutes of a storm on 26 April ]973. Most storms fit this pattern (Fig. 5.2). Othe r storms begin wi th medium intensity and reach their peaks in the middl e (rig. 5.3). There are also composite storms with peak intensities within two to thrce hours of one another (Fig. 5.4). Each intensity distri­ bution presents a different soil~erosion hazard. Interpreting the erosion data {rom composite storms is more difficult. 20 Soil erosion problems on an alfisol in Western Nigeria 1972 2 4 2 0 6 12 a 4 0 r f r 197 :3 2 S 2 4- iP 0- is -10 16 o 2 8 4 0 J J I 1974 32 28 24 20 16 12 B 4 o I 25 50 75 100 125 \ 150 175 int.noB y (mll".lhr) Fig. 5.1 Rainfall intensity distribution of storms from 1972 to 1974. Rainfall Erosivity: Erosi vity is the potenti al abi1i ty of rain to cause erosion .. Energy to dislodge and detach &)il particles in the erosion pro~ cess is provided by the kinetic energy of the rain. Wischmeier (1955) and Wiscbmeier et at (1958) found that the E130 index was most significantly correlated with the erosion. This index is a product of the kinetic energy of the storm and the 3~minule maximum intensity. The 30'minutc intensity is the greatest average intensity recorded during any 3()-minute period. Rainfall characteristics 21 250 30 20 10 O L---~0~--~IO----~----~20~--~25~---3~O----~3~5====~4O~----­ lime (minI Fig. 5.2 Rainfall intensity distribution during a sm"" with the peak in­ tensity occurring in its beginning. Hudson and Jackson (1959) found from their studies in Rhodesia that although the El30 index provided an accurate measure of erosi vity of rainstorms in temperate America it was less effective in tropical Africa. He developed an alternate procedure based on the concept that there is a threshold intensity value at which rainfall becomes erosive (2Smm per hour). Thi s index is call cd KE >1 . 22 Soil erosion problems on Dn allisol in Westem Nigeria .60 170 160 1!l0 140 130 )20 110 10 ~ E 90 e 80 A .... 70 c 60 $0 40 30 20 10 0 10 I 20 2S 30 3!5 4Q 4~ !l0 !IS 60 66 10 75 eo es 90 35 100 II. .. (min, Fig. 5.3 A stOIll1 with a low initial intensity and a second peak immedi­ ately following a high peak. •• e CO "POSITt $10""$ 7(- ' 0: . ~ C l:!Ie .20 0,0 000 ~ ... ~(: ,. - \ -. ~ ' . .. e 1 C 20 .0 l 11l1li. (III .. .) Fig. 5.4 A composite stonn with two separate intensity peaks spaced widely apart. Rainfall characteristics 23 Intensity records at UTA, Ibadan , indicate that most stonns have high shorHenn intensities. Erosivity indices were calculated to incorporate maximum average intensities for 7.5, 15, 22.5, 30, 37.5 and 45 minutes. Different erosivity indices are compare'd in Chapter 7. REFERENCES 1. Hudson, N. W. and D. C. Jackson (1959). Results achieved in the measurement of erosion and runoff in Southern Rhodesia. Third Inter,African Soils Conference, Dalaba. Proc. 2:575-584. 2. Wischmeler, W. H. (1955). Punch cards record runoff ana soil loss data. Agric. Engineering 36:664-666. 3. Wischmeier, W. H., D. D. Smith and R. E. Uhland (1958). Evaluation of Factors in the SoiHoss Equation. Agric. Engineering 30:458- 462, 474. 4. Wischmeier, W. H. and D. D. Smith (1965). Rainfall Erosion Losses from Cropland East of Rocky Mountains. Agricultural Hand­ book 282, USDA, Washington, D. C. • 6 ateb r'~ IOIlel f()f l lj()':,)~E?l ,)('\d loll jf,,P ,,,'i.j~;i ;t~.,a (t!' c' \~,.lf, ,~",!,f't'';',':'', ','§''' Exponential I elation ships between slop e and erosion losses have been reported by various workers (Zingg, 1940; Wischmeier et aI, 1958), Hudson and Jackson (1959) reported from their work in Rhodesia that for tropical soils the slope coefficient approaches a value of 2. Wischmeier (1966) reported the relation between slope and runoff loss to be logarithmic,Other studies have shown no relation between slope and runoff (Borst and Woodburn, 1942). Use of crop residue as a mulch to reduce runoff and erosion losses has extensively been reported (Mannering and \1eyer , 1961 and 196}).NO'tiIiage or minimum tillage has also been used effectively to minimize runoff and erosion losses (Mannering and Burwell , 1962; Moldenhauer et aI, 1967 ; Harrold, 1912). Some studies in West Africa have indicated greater runoff and erosion losses under minimum tillage (Chaneau, 1966). Minimum tillage results should be interpreted with reference to initial soH conditions, e.g. compaction, degree of erosion, and amount of crop residue because initial soil conditions under minimum tillage can sil!Jlifi' cantly influence soil and water conservation' and crop performance. (i) Slope,Runoff Relation : The effects o{ slope and soil management on runoff losses for four seasons are shown in Tables 6.1 , 6.2, 6.3 and 6.4. There are no significant differences in the runoff losses from bare fallow plots on slopes ranging from 1 to 15%. This may mean that runoff losses from bare soil are primarily governed by soil physical properties, e.g. infiltration rate and surface'sealing characteristics. Runoff losses under different crop rotations were of the order of maize,maize (mulch) < maize' cowpeas (no,tillage) < cowpeas,maize < maize,maize < bare fallow. This sequence does not apply to no,tillage treatments during the first season of 1972 because of the lack of crop residue as a surface mulch . . Mathematical relationships between runoff and slope based on the analysis of individual storms are shown in Tables 6.5, 6.6 , 6.7 and 6.B. These results are the combined analyses of first' and second-season stonns. Storms with less than 25 nun of rainfall (lowfall) and those with more than 25 mm of rainfall (high rainfall) were analyzed separately. The correlation coefficients between runoff and slope are generally low,except for mulched treatments. 26 Soil erosion problems on an alfisol in Wutem Nigeria Table 6.1. Effect of slope and soil management on run-off loss (mm ).First season 1972 Total Rainfall- Soil and crop management treatments Slope Bare fallow Maize-maize Maize-maize Maize-cowpeas Cowpeas-maize Mean % (mulch J (no-tillage! 225.6 0.4 69.1 22.4 12.7 66.0 5 261.6 14.9 170.0 118.2 89.5 130. 8 10 259.1 15.8 91.9 123.4 30.7 104.2 15 214.1 13.5 83.2 118.3 32.7 92.4 Mean 240.1 11.2 103.6 95.6 41.4 Table 6,2. Effect of slope and soil management on run-off loss (mer). Second season 1972 Rainfall - Soil and crop management rteatments Slope Bare fallow Maize-maize Maize-maize Maize-cowpeas Cowpeas-malZe Mean % (mulch' (no-tillage) 22.7 0.0 4.5 2.2 5.1 6 .9 5 39.0 1.9 15.2 4 .0 27.7 17.6 10 27.6 4.2 9.6 5.2 6.9 10.7 15 25.5 3.2 9.4 5.3 17 .6 12,2 Mean 28.7 2.3 9.7 4.2 14.3 Table 6.3. Effect of slope and soil management on run-off loss (mlf' )' First season 1973 Rainfall- So;1 and crop management treatments Slope Bare fallo w Maize-maize Maize-maize Maize-cowpeas Cowpeas·maize Mean % (mulch) (no-ciffage! 1 315.7 0.0 55.1 11.4 19.8 80.4 5 347.3 6.9 158.7 11.8 81.2 121.2 10 311.0 20.3 52.4 20.3 51.4 91.1 15 316.5 16.8 89.9 21.0 46.1 116.3 Mean 322.6 11.0 89.0 16.1 49.6 Table 6.4. Effect of slope and soil management on run-off loss (mm 1. Second season 1973 Rainfall - Soil and crop management treatments Slope Bare falJaw Maize-maize Maize-maize Maize-cowpeas Cowpeas-maize Mean % (mulch) (no-tillage J 191.7 0.0 9.1 6.0 22.2 45.8 5 195.8 4.0 65.D 6.5 64.5 67.2 10 193. , 9.0 36.0 10.2 30.5 55.8 Hi 185.4 7.5 71.4 10.7 105.4 76.1 Mean 191.5 5.1 45.4 8.4 55.7 Soil and water losses for dif fe rent s lot)es and soil management practices 27 Table 6.5. Run-off slope relation 1972. (a) High Rainfall Treatment R2 Equation Average Runoff % Bare fallow ns ns 42.S Mulch 0.11 y= ·0.46 + 0.33 5 2.1 Maize·maize 0.19 y= · 8.77 + 16.93 S - 2.33 52 + 0.09 S3 16.7 Cowpea·maize 0.26 y= ·6.32 + 11.S3 s· 1.79 S2+ 0.07 53 7.9 No-tillage ns ns 14.2 (bl Low Ra i nfall Treatment R2 Equation Average Runoff % Bare fallow ns ns 14.8 Mulch 0.40 y= - 0.79 + 0.58 S - 0.03 S2 1.5 Maize-maize 0.29 y= - 2.97 + 5:88 S - 0.83 S2+ 0.03 53 5.1 Cowpea·ma i z e 0.24 V:::. -1.39 + 3.545 - 0.52 S2 ... 0.()2 S3 3.8 No·till age 0.19 y= -1 .35 + 3.30 5· 0.40 S2 + 0.01 S2 5.1 Table 6.6. Run-off slope relations 1973. (a) High Rainfall Treatment R2 Equation Average Runoff % Bare fallow ns ns 50.7 Mulch 0.69 V= 0·12 - 0.23 S + 0.10 S2. 0.005 S3 1.3 Maize·maize 0.29 y= ·10.77 + 15.57 S· 2.27 s2t- 0.09 53 13.6 Cowp ea-ma i z e 0.15 y= -2.43 + 8.46 S . 1.33 S2t 0.06 S3 10.7 No·tillage 0.40 V= , .76 ·0.40 5 + 0.09 S2 - 0.004 S3 2.0 (bl LowRainfali Treatment R2 Equation Average Runoff % Bare fallow ns ns 29.9 Mulch 0.45 V= -0.95 + 0.56 5 - 0.024 52 1.3 Maiz e-maize 0.17 ¥= -7.64 + 11.86 5 - 1.77 s2 + 0.07 S3 8.6 Cowpeas-maize 0.10 y= -3.15 + 6.89 5 . 1.04 52 + 0.04 S3 6.3 No·tillage 0.13 Y=1.48+0.10S 2.3 28 Soil erosion problems on an aifisol in Western Nigrna Combined analysis as shown in Tables 6.7 and 6.8 may be misleading because the crops grown during the first and second season s were <.Ii f­ ferent {or di fferent tillage treatments. During the fi cst season, maize was grown on the no-tillage plots and cowpeas grown on the plowed plo lS. Table 6.7. Runoff - slope relations 1972. (8) High Rainfall Treatment r Equation Bare fallow - 0.01 y~ 32: 4 S -0.01 Mulch 0.79 yo=. 0.0016 S2_99 Maize-maize 0.09 y= 7.87 SO.12 Cowpea-maize 0.42 y= 1.95 S0.46 No-ti Ilage 0.47 y= 0.39 S 0.58 (bl Low Rainfall Treatment [quat/Of) Bare fallow - 0.01 y= 8.75 S-O.Ol Mulch 0.7B y= 0.008 S2.38 Maize-maize 0.14 y= 3.2 50. 13 Cowpea-maiz e 0.60 ¥= 1.18 SO.51 No-till age 0.55 y= 1.40 S°.56 Table 6.8. Runoff - sloppe relatiohS 1973. (a) High Rainfall Treatment r Equation Bare fallow -0.03 y= 46.40 S·0.02 Mulch 0.92 y= 0.0008 53.35 Mai z e-ma i z e 0.39 ¥= 4.86 SO.38 Cowpea-ma i 2 e 0.50 y= 1.62 SO.66 No-tillage 0.53 V::: 1,23 SO.24 (a) Low Rainfa II Treatment r Equation Bare fallow 0.08 v::: 23.1 (\ 5-0·14 Mulch 0.B4 y= 0.005 SO.26 Maize-maize 0.15 ¥= 2.66 S C. 26 Cowpea-maize 0.35 y= 1. 19 SO. 53 No-tillage 0.18 y= 1.15 SO.20 Soil and uater losses for different slopes and soil management practices 29 During the second season the crops and treatments were reversed. The exponential function analysis was therefore run separately for each of the four seasons (Table 6.9). Cumulative runoff factors for di fferent crop rotations, averaged over the four growing seasons, are shown in Table 6.10. Those factors are computed as ratio of runoff or soil loss from a given treatment to that from bare fallow plots at a given stage of crop growth. Mulch au.d no-tillage an: most effective in preventing runoff. The coefficients for different stages of crop growth are shown in Table 6.11. The four stages described in this tabl e are as follows: Stage 1 - Plowing, seeding and three weeks after; Stage 2 - Crop establishment, from 3 Lo 6 weeks; Stage 3 - Establishment to maturi ty, 6 weeks to harvest ; Stage 4 - Harvest un ti I next plowing. Table 6.9. Slope run-off relati ons for each season for mai ze-cowpea (no- tiilage) and cowpea-maize (plowed) treatments Treatment Year Season Rainfall R Equation Cowpea-maize 1972 High 0.46 Y=2.11S0.41 (plowed) I Low 0.57 ¥= 1.87 S 0.17 II High 0.40 ¥= 1.62 S0.58 II Low 0.81 ¥= 1.18 SO.52 1973 High 0.46 ¥= 1.23 5°·53 I Low 0.43 y= 1.27 50.54 II High O.~6 y= 1.925°.74 II Low 0.27 y= 0.75 SO.51 Maize-maize 1972 High 0.66 ¥= 1.15 50.68 (no-ti Ilage) Low 0.56 y= 1.50 5°·62 II High 0.78 ¥= r..98 SO .36 II Low 0.75 ¥= 1.50 5°·33 1973 High 0.48 ¥= 1.21 50.21 Low 0.26 y= 0.7450,21 II High 0.56 ¥= 1.24 SO.25 II Low 0.13 ¥= 0.08 50.21 30 Soil erosion probe ems 011 an alfisol in Western Nigeri a (ii) Slope-Soil Loss Reiatiolts : -Slope-soil loss relationships for differ­ ent soil management and crop rotations are shown in Tables 6.12 to 6.15. The potential erodibility of a given slope and soil and crop management treatment is indicated b)-' the erosion loss under bare fallow. The data for the four seasons investigated indicate three important factols that affe ct erosion losses: (i) slope, (ii) season and (iii) wil management. Erosion losses increased wi th increase in slope. By the second season of 1973, the bare-fallow plots on the 10 and 15% slopes had been eroded exces­ sively and a decrease in erosion was recorded because gravel exposed on the soil surface acted as a mulch (Figs. 6.1 and 6.2). Rainstorms during the first growing season at Ibadan are more erosive than those during second season. As a result , the erosion losses are lower during the second season. Mulching and no-tillage soil management practi ces were most effccti ve in preventing soil erosion, regardless 0 f slope. The erosion losses were in the order of maize-maize (mulch) < maize-cowpeas (no-tillage) < cowpeas-maize < maize-maize < bare fallow. No-tillage treatment during first season 19n was not effective because of the lack of crop residue on the soi 1 surface. Table 6.10. Crop and soi I management factor Rotation First season Second season Bare fallow 1.00 1.00 Maize-maize (mulch) 0.04 0.05 Ma i ze·ma i ze 0.35 0.29 Maize-cowpea (no-tillage, 0.05*' 0.10 Cowpea-rna i ze 0.16 0.40 * Exluding the first season 1972 date in which case was no crop residue and the soil was disturbed. Table 6.11. Crop and soil management factor for different stages of ~owth (based on 1973 records) Rotation 1 2 3 4 Bare fallow 1.00 1.00 1.00 1.00 Maize-maize (mulch) 0.048 0.025 0.019 0.039 Maize-maize 0.70 0.27 0.29 0.114 Maize-maize (no-tillage) 0.075 0.037 0.035 0.051 Cowpea-ma i ze 0.74 0.'17 0.036 0.068 Soil and water losses for different slopes and soil management 31 practices Table 6. 12. Effect of s lope and soil management on soil loss itons,1-ta \. First season 1972 Tota l Rainfall- Soil and crop management treatments Slope Bare falloVl Maize-maize Maize-maize Maize-Cowpeas Cowpeas-maize Mean % (mulch I (no-li/lagel 4.0 0.0 1.0 0.4 0.2 1-1 5 32.1 0.1 2.7 1.5 1.2 7.5 10 45.5 0.1 5.8 5.1 2.1 11. 7 15 101.0 0. 1 13.1 7 .8 1.8 24.8 Wean 45.7 0.1 5.7 3.7 , .3 Table 6.13. Effect of slope and soil management on soil loss (tons/hal Second season 1972. Total Rainfall - Slope and ClOP Managemefll Treat/rents Slope Bare fallow Maize-maize Mai,e-wize Maize-cowpeas Co wpeas'I1'"ize Mean % (mutch) (/lo-tillage i 1 , .0 0.0 0.1 0.0 0.3 0.3 5 11.1 0.0 0.4 0.0 1.1 2.5 lD 13,4 0_0 0.6 0.0 0.9 3.0 15 15.1 0.' 1.3 1.0 4.4 4.4 Mean 10.2 0.0 0.6 0.2 1.7 Table 6.14. Effect of slope and soi l management on soil loss Itons/hal. Fi rst season 1973 Total Rain!,,!! - So i l and crop management trearments Slope Bare fallow Maize-maize Maize-maize Maize-Cowpeas Cowpeas-maJze Mean % (mulch I (no-ri /lage ) 1 7.5 0_0 1.2 0.0 0.6 1.9 5 80.4 0.0 8.2 0. 2 5.6 l8.9 10 152.9 0.1 4.4 0.1 3.3 32.2 15 155.3 0.0 23.6 0.1 7.6 37_3 Mean 99.0 0.0 9.4 D. l 4.3 Table 6.15. Effect of slope and soil management on soil loss {:onsAlal Secolld season 1973. Total Rainfall - Sod and Crop Managem~nt rreatments Stope Bare fallow Maize-maize Maize-maize Ma; ze-COLVpeas Cowpeas-maize Mean % (mulch) (no-ti llage! 1 3.7 0.0 0.4 0.0 0.3 0.9 5 75.8 G.G 2.S 0.0 4.0 16.5 10 79.7 0. 1 2.8 0.1 3.0 17.1 15 73.9 0.0 17.1 0.0 35.4 25.3 Mean 58.3 0.0 5.8 0.0 1 " NO-TILLAGE .--"" 4 Tons/ha c 6 Tons! ha .10 D 01 ~--_-_-----f!;:.--d----_----;:!::--_______- -:-! 1 W m SLOPE ("I.) Fig. 7. Effects of mulch rate, no-tillage system and slope on soil erc· sion in the first season, 1974. 46 Soil erosion problems on an al/isol in Western Nigeria Table 7.5. Slope· runoff relation for different mulch rates (Low Rainfall) Mulch rate r Equation Average Y (tons/hal % of Rainfall 0 0.27 y= 47.5 S-0.22 33.0 2 0.49 y= 1.5 SO.47 3.4 4 0.73 y= 0.8 50.66 2.3 ~ 0.09 y= 0.002 53•07 0.39 No-ti lIage 0.48 y= 1.62 5°·30 2.6 MULCH RATE SECOND SEASON, H'14 100 o o o Ton/ha 2 Tons/ha ., " .s::. ~ " 4 Tons I ha indices were designated AEI, With appropnate suffixes to denote time intervals. The erosivity of each stonn was also calculated with Hudson ' s KE>l index. Simple conelations were then computed between soil and water losses from bare- fallow plots and rainfall amount (A), rain­ .fal~ intensities (1 . to (45). EI indices (EI 7 5 / .S to EI4,») and AI andAEI mdlces. RelationsHips Between Rainfall Amount and Runoff and Soil Lass from Different Slopes: Tables 8.1,8.2 and 8.3 show correlation coefficients and linear regres­ sion equations relating runoff and soil loss to rainfall amount, runoff to ~il loss for each slope, runoff from a 5% slope to runoff and soil loss from other slopes, and soil loss from a 5% slope to soil loss from other slopes. Fairly good estimates of water runoff can be obtained from rainfall data for · bare-fallow plots. That the runoff-rai nfall relationship exists and can be used to extrapolate results is further strengthened by the high values of the correlation coefficients. Similarly, it seems possible to obtain information on water runoff for different slopes from the runoff lecords on one of the slopes. Furthermore, the correlation coefficients between water runoff from 5% slopes and that from other slopes are high. The leiationships between runoff and soil loss, although good, may not always make it possible to estimate soil los!> from runoff data alone. The conelation coefficients between runoff and soil loss within each slope are 110t high. However, estimates of soil loss from water runoff from a repre­ sentative slope (a 5% slope, foi:' example) may be obtained from the re~ gression equations given in the tables. 56 Soi l erosion problems on an alllsot •.• '" Tabl e 8. t gi yes correl arion coefficients and linear regression equa­ , tions relating runoff and soil loss from bare-fallow plots to amount of rainfall and relating runoff and soil loss from one slop e to that from other slopes (1972). Table 8.1 Correlation coefficient and linear regression equations for runoff and soil loss from bare fallow with amount of rainfall and relating runoff and soil loss from one slope to that of others (1972). Ind. Variable Dept. Variable Equation Amount of ra infall per stonn (A) Runoff 1% (W) 0.66 W= 6.6A + 9.2 Amount of rainfall per storm (A) Runoff 5% (W) 0.54 W=6.8A+17.0 Amount of rainfall per storm (Al Runoff 10% (W) 0.62 ~::7.0A+14.4 Amount of rainfall per storm (A) Runoff 15% (W) 0.65 W= 6.SA + B.O Amount of rainfall per storm (Al Soil loss 1% (E) 0.94 E :: 0.09A - 0.05 Amount of rainfall per storm (A) Soil loss 5% (E) 0.72 E = O.4BA + 0.27 Amount of rainfall per storm (Al Soil loss 10% (E) 0.52 E :: O.52A + 0.65 Amount of ra infa II per storm (A) Soil loss 15% (E) 0.86 E :: 2.53A - 1 .59 Runoff 5% (W s ) Runoff 1'JE (W) 0.82 W= O.64Ws+ 0.03 Runoff 5% (1\'5 1 Runoff 10% (W) 0.81 W= O.72W s+O.06 Runoff 5% (W s) Runoff 15% (W) 0.74 W= O .62W 5 + 0.03 Soil 10ss.5% (Es) Soil loss 1'JE (E) 0.80 E = 0.11 E 5- 0.008 Soil loss 5% (Es) Soil loss 10% (E) 0.85 E = 1.29Es -+ 0.12 Soil loss 5% (Es) Soil loss 15% (E) 0.81 E = 3.S3er.- 0.96 Runoff 1% ( W, ) Soil loss 1% (E) 0.81 E = 0.nWl·-0.04 Runoff 5% (W 5) Soil loss 5% (E) 0.81 E = 4.20W 5·- 0.07 Runoff 10'lE (W'o) Soil loss 10% (E) 0.60 E = 5.23 W'O .. + 0.20 Runoff 15% (W ' 5 l Soil loss 15% (E) 0.70 E = 19.30Wls*-O.73 Runoff 5~ (W 6 ) Soil loss 1% (E) 0.69 E = O.51Ws• - 0.02 Runoff 5% (W 5 ) Soil loss 10% (E) 0.65 E = 5.03Ws- + 0.15 Runoff 5% (Ws) Soil loss 15% (E) 0.57 E = 13.07Ws"-0.53 Rafnfsll:: em pflr storm ·Runoff :: fraction of tm rainf." Soif (0. ." " tlltll/storm Runoff ::: pm-cent of 'lIinfBlI Computation of Erosivity Indices from Rainfall Amount: Roose (9/3) attempted to compute the EI30 index from rainfall data . He round a linear correlation between rainfall amount and the EI30 index fOr the S'avanna region of the Ivory Coast and a logarithmic relation between rainfall amount at the El30 index fOI the humid-forest zone. The correlation cocffi ci ent and regression equations for compucing kinetic energy (E) and t~e EI30 and KE>l indices from rainfall amount are shown in Table 8.4. H igb correlation coefficients between rainfall amount and the various indic es for all the three years indicate that a linear relation­ ship exists and' that it is poss ible to predict eroSivity from rainfall amount. Rainfall Erosivity and soil erosion 57 Table 8.2 Correlation coefficient and linea r regression equations for runoff and soil loss from 001'& fallow plots w.ith amount of rainfall and retating runoff and soil loss from one slope to that of others (1973). Ind. Variable Dep. Variable Equation Amount of rain per stonn (A) Runoff 1% I W} 0.26 W -= 1 .9SA + 33.0 Amount of rai n per storm (A) Runoff 5% (WI 0.21 W = l.88A + 37.0 Amount of rain per storm (A 1 Runoff lO%(WI 0.23 W= 1.96A t- 34.0 Amount of rain per storm (Al Runoff 15% (WI 0.27 W=2.73A + 28.9 Amounttlf rain per stonn(A) Soil loss 1% IE) 0.94 E=O.13A 0.07 Amount of rain per storm (Al Soil loss 5% (El 0.20 E= 0.21A + 0.30 Amount of rain per storm (Al Soil loss 10"(E) 0.91 ~= 2.13A • 0.34 Amount of rain per stonn (Al Soil loss 15" (E) 0.79 E= 2.11A • 0.47 Runoff 5% (W&) Runoff ," (Wl D.n W= 0.67W5" 0.09 Runoff 5% l~) Runoff 10% IW} o.n W= 0.74W~ +0.08 Runoff 5% IWs) Runoff 15%(WI 0.79 W= 0.91 Wf, 4 0.02 Soil loss 5~ (£5) Soil loss '" (E) 0.20 E =0 .03£ 5 .. 0.16 SoH loss 5% (Es) Soil loss 10% (E) 0.3'1 E= O.7OE~ ... 2.62 Soil loss 5% (E5) Soil loss l~(E) 0.29 E= O.nEs ... 2.21 Runoff 1%(.11 Soil loss 1%' (E) 0.30 E= O.53W!· 0.06 Runoff 5% (Wi) Soi I loss 5% (EI 0.60 E = 6.96"5 -..0.64 Runoff '0" (~. Soli loss 10"(E) 0.42 E=1,;43W,o'" + 0.70 Rt,Jnoff 15 % (W i; -') Soil loss 15" (E) 0.55 E=14.20W 15 .. + 0.17 Runoff 5" 1"51 Soil 'oss'" IE) 0.24 E= O.36Vh;* + 0.10 Runoff 5% (.oS} Soil loss '0" IEl 0.33 E::;: 8 .73Ws" + 1.46 R\II\Off 5% ~'51 Soil loss 15%(E) 0.39 E:; 11.63Ws. .. 0.01 RIJin'.1I = cmper storm • Runoff - fraction of rllintall $oilloss " tonlha/storm fainfall = petclNlt of fa; ntltll The Relation ship Between Runoff and Erosivity 'ndice s: Simple correlation coeffi ci ents relating water runoff from bare,fallow plots to the valious indices are shown in Tables 8.S, 8.6 and 8.7 for 1972, 1973 and 1974 respecti vely. In general , runoff was significan tly corr elated with total rainfall of a given storm. Th e kin etic energy of th e rainsloIlTl , although signifi cantly correlated, was not as highly correlated with runoff as the total amount of rainfall during a given stollll.The various EI indices correlate fairly well with wa ter mnoff. Among the AI indices, the highest correlation was obtained with AI7.5. AEl indices were no t as highly- cor' related as the Al indi ces . 58 Soil erosi an probl ems on an alfi sol in Western Ni g eria Table 8.3 Correlation coefficiE!1t and . linear regression 6:iuations for runoff ~nd soil loss from bare f.allow plots with amount of rainfall and relating runoff and soil loss from one slope to that of from others (1974 ). Inct. Variable Dep. Variable Equation Amount of rain per storm ~A) Runoff 1% (W) 0.15 W= 1.90A - 4.28 Amount of rain ~er stO!1l\ (A) Runoff 5% (WI 0.21 W ~ 3.2'A - 4.72 Amount of rain per storm (AI Runoff 10% (W) 0.07 W ~ O.76A ·34.8 Amount of rain per storm (A I Runoff 15% (W) 0.56 W- B.50A - 12.83 Amount of rain per storm (A) Soil loss 1% (E) 0.59 E ~ 0.12A ~ 0.02 Amount of rain per storm (AI Soil loss 5% (E) 0.72 E = U6A - 0.02 Amount of rain per storm IA) Soil loss 10% (E) 0.68 E ~ 2.JOA - , .32 Amount of rain per storm IA) Soil 1655 15% (E) 0.71 E ~ 1. 78A - 1.42 Runoff 5% (W s)· Runoff 1% (W) 0.82 W=O.66W s+0.l1 Runoff 5% (Ws) Runoff 10% IW) 0.64 w= O.44W , + 0.12 Runoff 5% \Ws} Runoff 1S % \ W) 0.62 W=O.62W s+O.m Soil loss 5%(Es) Soil loss 1% IE} 0.59 E = O.05E ~ + O. " Soil loss 5% (Es1 Soi l loss 10% IE) 0.91 E = 1.26E 5 -1 .09 Soil loss 5% (Esl Soil loss 15% IE) 0.70 E = O.72E -0.05 Runoff 1% (W,) Soil loss 1% IE} 0.56 E = O.B9W,"...o. 10 Runoff 5% \W s) Soil loss 5% tEl 0.46 E =7.27W5"+O.S8 Runoff 10% (W 10) Soil loss 10% IE) 0.37 E = 12.00W,04+-0.36 Runoff 15% (W,s) Soil loss 15% IE) 0.73 E = 12.00W,~·-0.93 Runoff 5% (W s) Soil loss 1% IE) 0.56 E =O.72W. " - 0.07 Runoff 5% (W 5) Soil loss 10% IE) 0.47 E = 10.27W5 • -0.96 Runoff 5% tW~) Soil loss 15% IE] 0.39 E = 6.31W 5 • - 0.22 RBinfall ... em per storm " Runoff ::= frBction of ,Bin'BII So il loss ::= fon/nal slorm Runoff ::= percenr of rainfa ll The Rel£llion ship Between Soil Lo ss cmd Ero sivity Indi ces : Correlation coefficients relating soil loss from bare~fallow plots during individual stonns to various erosivity indices are shown in Tables 8. 8, 8.9 and 8.10 for 1971, 1973 and 1974 respectively . The correlation co ef~ fici ents between soil loss and tbevariou s indices are generally lower than those between water runoff and the indices. Again, th e total amount of rainfall during a given storm correlated fairly we ll with soil Joss from all slopes investigated. Mean intens i ty durin g a 45~minute period (145) was more highly correlated wilh soil 1088 than with e ither total kin e tic energy o{ the storm 01 th e. El30 index. The best estimate of soil loss during an individual stonn was obtained with AI7 . 5. Th e weighted~m ean average correlation coefficients between runoff and soil loss and the variou s indices for all the slopes are shown in Table 8. U. Soil lo s s is gen erally poorly correlated with any of the variables listed. Rainfall Erosivity and soil erosion 59 Table 8.4 Corre lation coeffi cients and regression equations relating rainfall amount A "'itn various e rosivi ty indices. Year Ind. Variable Dep. Vari abl e Equation 1972 Rainfall amount E 0.97 E = 396.2 A • 112.0 per storm El30 0.87 E130~ 164D.5 A - 1968.5 KE ::> 1 0.88 KE > 1 " 362.5 A - 160,0 " AIm 0.97 AIm =13.77 A -11.3 1973 E 0.99 E =367 .0A-7.7 EI 30 0.93 E130 = 254.9 A - 22.3 " KE > I 0.88 KE > 1 = 853.0 A - 55!i .6 Aim 0.92 AIm"" 9.22 A - 4.2 1914 E 0.84 E = 390.6 A - 77.4 EI30 0.78 EI30 = 215.5 A + 39.2 KE > 1 0.79 KE > 1 = 839.5 A - 813. 7 AIm 0.88 AIm = 9.74 A - 7.3 1972 - 1974 " E 0.95 E = 379.6 A - 54.0 EI30 0.87 E 130 = 273.8 A - 56.5 KE > 1 0.82 KE > 1 = 1047.9 - 1058.4 AIm 0.92 A l - 10.42 A • 6.9 E faat • ton per acre KE > 1 = foot-IOn p er acre EI30 = foor - ton per acre Alm Cm 2ihr A ~ em Tabl e 8.5. Correlation coefficient (r) of run-affat differen t slopes ( ~with various in dices (1972) Variable 1% 5% 10% 75% 17.5 0.44 0.43 0.39 0.38 115 0.68 0.l'9 0.67 0.70 122.!> 0.75 0.75 0.75 0.78 130 0.81 0.81 (l.80 0.33 137.5 0.86 G.BS 0.B5 0.B7 145 0.87 0.87 0.87 0.8'3 E17.5 0.85 1).79 0.82 0.86 El lS 0.85 0.78 0.80 0.85 El22.5 0.85 0.78 0.80 0.85 E137.5 D.B5 0.78 0.80 0.83 E145 0.85 0.78 0.80 0.84 60 Soil erosion problems on an al/isol in Western Nigeria Table B.6. Co rrel a1ion co effi c i en t (r 1 of run-off a1 different s'opes with erosivity indices (1973). Variable 1% 5% lC176 15% ~5 0.7J) 0.75 0.B2 0.74 '22.5 0.84 0,85 O.SO 0.81 '30 0.89 O.SCJ 0.92 0.85 '37.5 0.87 0.89 O.SO 0.81 145 0.91 0,91 0.93 0.88 E17.5 0.90 0.90 0.95 0.88 EI 15 0.92 0.91 0.95 0.89 E122.5 0.92 0.91 0.94 0.89 E1 37•5 0.93 0.93 0.95 0.88 EI45 0.93 0.91 0.80 0.80 Table 8.7. Correlation coefficient! r) of run-off at different slopes (1%) with various erosivity indices (1974). Variable 1% 5% 10% 75% 115 0.75 0.78 0.65 0.75 '22.5 0.77 0.79 0.68 0.75 '30 O.Bl 0.84 0.74 O.SO '37.5 0.79 0.81 0.71 0.75 i 45 0~86 0.89 0.78 0.86 E1 7•5 0.78 0.85 0.71 0.7~ EI 15 0.75 0.81 0.67 0.77 E1 22•5 0.73 0.79 0.G7 0.74 E1 37 .5 0.76 0.81 0.70 0.78 EI45 0.79 0.84 0.74 0.81 \ New Erosiuiry Index (A1M). The applicability of the E130 index under tropical conditions needs further analysis. The parameters used for computing the EI30 index are kinetic energy (E) and maximum 30~minute intensity (130)' The empirical bases for calculating kinetic energy of a stonn seriously limits the appli~ cability of E[30 for determining erosi vi ty of tropi cal stonn s. Raindrop-size distribution and wind velocity associated with tropical rainstorms can cause enOl in computing kinetic energy. The kinetic energy values that WischmeicLcalculated with this formula are therefore under~estimated, It Rainfall Erosivity and 'soil erosion 61 Table 8.8. Correlation coefficient (r) of soil loss at different slopes (1%) with various erosivity indices (1972). Variabfe 1% 5% 10% 15% 1'5 0.79 0.64 0.55 0.67 122.5 0.82 0.66 0.57 0.76 130 0.85 0.69 0.59 0.83 137 .5 0.87 0.72 0.60 0.86 145 0.88 0.72 0.61 0.89 E1 7.5 0.77 0.55 0.4-5 U.91 EI 15 0.76 0.53 0.44 0.90 E1 22•5 0.76 0.53 0.43 0.90 E~7.5 0.76 0.53 0.43 0.89 E145 .. 0.76 0.53 0.43 0.89 Table 8.9. Correlation coefficient (r) of soil loss at different slop ( % ~ with various erosivity indices (1973). Vadable 1% 5% T(IX 15% 1,5 0.60 0.20 0.79 0.66 122•5 0.70 0.22 0.81 0.69 130 0.75 0.26 D.Sl 0.73 137•5 0.70 0.31 0.77 0.65 '45 0.77 0.28 0.82 0.75 EI 0.73 0.19 0.85 0.76 E1 7•5 15 0.75 0.18 0.83 0.78 £1 0.76 0.16 0.80 0.77 22.5 • El37.5 0.74 0.20 0.78 0.73 EI45 0.78 0.17 0.80 0.80 has been shown that an 8 mph wind can increase the kinetic energy of a rainstonn by 30%. Th e low correlation coefficients between soil loss and erosivity indices that include E may be attributed to these limitations. There is an urgent need to monitor the kineti c energy of tropical rain­ storms and to develop empirical relationships involving parameters of intensity. drop~size distribution and wind velocity. 62 Soil erosion problems on an alfisol in Western Nigena Table 8. TO. Correlation coefficient (r) of soil loss a1 different slopes (1%1 with various erOSivity indices (1974). Variable 1% 5% rOOd, 15% '15 0.72 0.79 0.62 0.65 122•5 0.63 0.69 0.54 0.63 '30 0.68 0.69 0.51 0.57 137 •5 0.56 0.48 0.51 0.55 '45 0.67 0.64 0.53 0.66 E1 7•5 0.75 0.76 0.59 0.66 EllS 0.64 0.73 0.48 0.66 E1 22•5 0.56 0.64 0.42 0.63 E~7.5 0.57 0.61 0.40 0.5~ E~5 0.59 0.59 0.41 0.58 Table 8.11 Correlation coeffici ents of various erosivity indices with runoff and soil loss. Year Erosivity Runoff Soil loss Index 1% 5% 10% 15% 1% 5% 10% 15% 1972 A 0.66 0.54 0.62 0.64 0.94 0.72 0.52 0.86 E 0.57 0.50 0.53 0.60 0.91 0.71 0.50 0.92 B30 0.37 0.27 0.33 0.41 0.75 0.53 0.34 0.87 AIm 0.61 0.43 0.55 0.56 0.90 0.61 0.81 0.84 KE >l 0.38 0.33 0.36 0.47 0.77 0.57 0.37 0.85 Im 0.68 0.51 0.60 0.66 0.82 0 .59 0.46 0.67 1973 A 0.26 0.21 0.23 0.27 0.94 0.20 0.91 0.79 E 0.30 0.24 0.29 0.31 0.93 0.21 0.93 0.81 EI30 0.37 0.30 0.38 0.36 0.82 0.14 0.86 0.81 AIm 0.30 0.19 0.31 0.31 0.86 0.11 0.88 0.77 KE > 1 0.38 0.30 0.40 0.39 0.87 0.20 0.91 0.83 1m 0.39 0.23 0.49 0.42 0.37 0.13 0.51 0.44 1974 A 0.15 0.21 0.07 0.56 0.59 0.72 0.68 0.71 E 0.23 0.33 0.16 0.63 0.65 0.B7 0.88 0.75 EI30 0.27 0.36 0.20 0.67 0.64 0.89 0.91 0.82 AIm 0.26 0.34 0.11 0.62 0.70 0.86 0.85 0.81 KE> 1 0.37 0.42 0.11 0.12 0.52 0.79 0.74 0.93 1m 0.34 0.42 0.16 0.54 0.60 0.68 0.68 0.65 Rainfall Erosivity and soil erosion 63 The intensity parameter of tile EI30 index also needs critical appraisal. The intensity of a temperate rainstonn rarely exceeds SO mm/hr. Rain· storms of much higher intensi ti es are frequent in the tropics, howevel, and intensities exceeding 100 mmjhr are n:>t uncommon. A third factor that can influence the effectiveness of the EI.30index is the direction of the storm in relation to the direction of the slope. This parameter is particularly important on steeper slopes. Soil creep, the detachment and subsequent movement of soil do\\nslope, can be significantly affected by the resolu­ tion of the impact momentum vector of the raindrop into its components. A fourth factor is socio-economic. The calculations involved in the El30 index are cumbersome and skilled technicians and computer facilities arc needed for correct and speedy calculations. Lack of such facilities and talent is a problem in many developing countries of the tropics. The AIm index, the product of the maximum inten si ty (1m) in cm/hr ~nd total rainfall (A) in em has advantages over the EI indices. First, the Aim index includes maximum intensity, an important factor in tropical rainstorms. It also includes total rainfall which takes into account the fact that a very intense stoon that lasts only a short period and that results in low total rainfall is usually non-erosi Ve. As pointed out in Chapter 5, slope-soil loss relationships are significant only for storms with more than 25 mm of rainfall. Combining these two important parameters, maximum intensity and total rainfall, in one index provides a more accurate indication of rain· storm erosivity than using either of the parameters alone. Another ad­ vantage of the AIm index is that it is simple to compute. The AIm index is delinitely not the ultimate index, rut should prove useful until something better comes along. The Aim index, for example, can be improved further by incorporating a wind velocity factor that will reflect th~ kin etic energy of a windy storm. The weighted·mean average correlation coefficients for all slopes and all years between runoff and soil loss and the KE> I, E130 and AIm erosiv­ ity indices are shown in Table 8.12. The AIm index is more highly corre­ lated with water runoff and soil loss than the other indices. Preparation of Erosi vily Maps [rom the Index: The AIm erosi vi ty index is defined as: 1 k AIm = :t [I aim) / 100 1 1 In thi s index, a is the amount of rain in indi vidual stonn, 1m is the m axi­ mum intensity of th e individual storm, f< is 31 and I is 12. It is the sum­ mation of the product ai over all the rainy days in a year. If a is in cm and i in ern/ hr, the unit of AIm is on2/hr. AIm is usu;lllv 1. - ' -- - ~., 1 and 64 Soil erosion problems on an alfisol in Western Ni g eria Table 8.12 Weighted Mean Average Correlation Coefficient (r) of ' Various ErosivitY Indices with Runoff and Soil Loss from 10% Slope Plot ~ith Barefal lov., Treatment. Erosivity Index Runoff Soil Loss KE > 1 0.32 0.60 EI 30 0.34 0.65 AIm 0.37 0.69 10 for areas wi th annual rainfall up to 1000 mm, between 1 and 20 for areas thal recei ve 1000 to 2000 mm of annual rainfall. and betwecn 1 and 30 for arcas that receive 2000 to 3000mm of annual rainfall . Monthl~' AIm indices for lbadan during 1971, 1973 and 19]4 are shown in Figure 8.1. The slope of the curve reflects erosivity during a given month or during any period in the year. AIM indi ces for a region connecting different ecological zones can be similarly plotted (Fig. 8.2). Such erosivity maps can help in designing T )( 1973 ~974 6 1972 1: '" 5 E ~ :I: '< 4 ~'-~~~--~A~--~M--~J~--+J--~A~--~S---70'--'N~~D MONTH Fig.8.1 Cumulative distribution of erosivity index Aim from Ibadan. If one does not divi~e the R.H.S. of Aim equation, the numerical value of Aim (em Ihr) and E!JO (foot·ton5 pt:!r acre--inch) are identical. Hence it does not matter how K factor is computed by either by Arm or E130. Rainfall Erosivit)· and soil erosion 65 erosiOD,conlroJ practices as well as in pJanning agricultural operations and developing soil and crop-management techniques suited to a given location. Fig. 8.2 A hypot'hetical iso-erodent map for West Africa. 900 850 eoo 1973 750 100 ~ 650 ~ ~ 600 ~ 550 1974- 5500 i 1972 ~ 450 -4 '~" 350 ~ ~ 300 a: 1: 250 Ui 200 150 100 50 0 F A M J J A s o N o TIME ( Month) Fig. 8.3 Cumulative distribution of EI30 index for Ibadan. 66 Soil erosian problems on an alfisol in Wesiern Nigeria 3€0 340 0---0 197'] x-- - x '97:) 320 6 - --6 19"'4. 300 280 260 .~ ~ 2 40~ ~ : ~ nOr a c 100 E , ISG OS ~ 160 ~ 14 0 c ~ 120 ~ 100 ~ iii !!O 60 40 20 o F A N D TIME ( Month ) Fig.8.4 Monthly distribution of EI30 index for Ibadan. 80 70 60 "!J~* Q ~ (~ u r 50 0 ei ~<. :J' '- ~ ~,c:§l~ " I -0 I..'<..\-§:l 40 ~ c:JC. >j'i ~ 0 ~,,~ ~ ""- 30 stem Nig eria 05 cr---Q 10(" SLOPE PLOT ~ 5·'. SLOPE PLOT ~ 10% SLOPE PLOT ~ 15°/. SLOPE PLOT 04 ... 0·3 , ..- ~-- >- ~ ~ '" m-l a 0 0:: LU -l (5 r.J> 02 " "- " , , , 01 \ , , , , , \. , ,, 1 2 3 4 TIME AFTER FOREST CLEARING (years) Fig. B.6 Changes in soil erodibility factor (k) with time after forest clearing. The distribution of the EI30 index and its relation to AIm is shown in Figs. 8.3 - 8.5. When AIm is not divided by 100, it is numerically identi­ cal to EI30' Therefore, K factor does not alter significantly by using eitheI of the two indices (Fig. 8.6). Rainfall Erosivity and soil erosion 69 REFERENCES 1. Adams,J . E ., 1957. A rainfall simulator and e.rodibility of some. Iowa soils. Iowa St. Coli. J. Sci. 31: 347-348. 2. Ahmad, N., and E. Breckncr , 1974. Soil erosion on three Tobago soils. Trop. Agric. 51 : 313-324. 3. Bruce-Okine, E., and R. Lal , 1975. Soil erodibilit)" as detennined by raindrop technique. Soil Sci. 119 (2) : }49-157. 4. Ekern, P. C., 1954. Rainfall intensity as a measure of stonn erosivity. Proc. Soil Sci. Soc. Amer. 18: 212-216. 5. Ekern, P. C. and R. J . Muekenhim, 1947. Water drop impact as a force in transporting sand. Proc. Soil Sci. Soc. Amer. 12: 441-444. 6. Ellison W. V.,1947. Soil erosion studies: Part 1. Agric. Eng. 28: 145-146. 7. Fournier, F., 1956. The effect of climatic factors on soil erosion. Estimates of solids transported in suspension in runoff. Ass. Int. Hydrol. Pub. 38 : 6. 8. Fournier, F. and S. Henin., 1959. A new climatic fonnula for evaluating the specific degradation of soils. C. R. Acad. Sci. , Paris. 248: 1694-1696. 9. Free, G. R., 1960. Erosion characteristics of rainfall. Aglie. Eng. Mich. 41: 447-449, 455. 10. Hudson, N. W. ,1971. Soil conservation. Batsford, London, 1971. U. Lyles, L., L. A. Disrud and N. P. Woodruff, 1969. Effect of soil physi, cal properti es, rainfall characteri sti cs and wind velo city on clod disintegration by simulated rainfall. Proc. Soil Sci. Soc. Amer. 33: 302~306. 12. Mihara, Y., 1953. Effects of raindrop and glass on soil erosion. Proc. Sixth Int. Grassl. Congl. 1953: 987-990. 13. Mookerjee, D., 1950. Anti-soil erosion equipment at Arabari , West Bengal. Cent. Bd. Inig. J. 7 : 191-193. JO Soil erosion probl ems on an alfisol in We stem /II igeri a 14. Rogers,J.S., L.C. Johnson,D.M.A. Jones and B.A. Jones,1967 Sources of error in calculating the kinetic energy of rainfall . J. Soil and Water Consen'. 22 (4): 140~14}. 15. [(oose, E.]., 1973. Dix~sepl annees de mesures experimentales de I'erosion et du ruissellem ent sur un sol ferrallitique sableux de basse Cote d'l voice. Contribution a J'ctude de I' erosion hydrique en milieu intertropical. ORSTOM , Adiopodoume 125 p. These , Abidjan, ~. 20. 16. Rose, E. E., 1960. Soil detachment caused by rainfall. Soil Sci. 89: 28~35. 1/. Tamhane , R. V., T. D. Biswas and B. Das, 1959. Effect of intensity of rainfall on soil loss and runoff. J .Indian Soc. Soil Sci. 7:23hD8. 18. Wischmeier, W. H., 1955. Punch cards record runoff and soil~loss data. Agrie. Eng. 36: 664-666. 19. Wischmeier , W. H. and D. D. Smith, 1958. Rainfall energy and its re[a~ tionship to soil loss . Trans. Arner. Geophysl. Union 39:285~291. • 9 Effect of Ilope lenqtft on runoff and loll 1011 The effect of slope length on runoff loss is nol well understood and is a debatable issue. Slope length, as defined in the universal soil-loss equation, is the distance from the point of origin of overland flow to either the point where the slope decreases [0 the extent that deposi tion begins or the point where runoff enters a well defibed channel drat may be part of a drainage network or a constructed channel such as a terrace or diver­ sion (Smith and Wi schmei er, 1957). 1herefore, the slope length factor (L) is the ratio of runoff/soil Joss from a particular slope length to that from a 72.6 foot length when all other condi tions are the same. Wischmeier (l%6) reported from his investigations on 21 locations that the effect of slope length on runoff per unit area was of questionable significance. He found that for 18 locations the total growing season run­ off per unit area was greatest on short slopes. Total dormant season run­ off was found to be greater on longer slopes for 11 locations, but it was equal to or greater than the runoff on the short slopes for the other 10. Borst and Woodburn (1942) also found no significant effect of slope length on water runoff. Numerous studies, however, have shown that the soil loss per unit area is related to slope I ength. The effect of slope length on soi I loss may be a result of increased erosive potential due to greater accumulation of runoff on longer slopes. Runoff velocity increases with an increase in runoff accumulation. Zingg (1949) reported that average soil loss per unit area increased in proportion to the 0.6 power of slope length. Musgrave (1947) found that exponent m, (A/72.6)ffi, was 0.35. Wischmeier (1972) has sho\\-n that the value of the m exponent varies from 0.3 to 0.7 with a median value of 0.45. Another complicating factor in defining the exact relationship between slope length and runoff and soil loss from field plot experiments is the nature of the slope. Runoff and soil loss are significantly influenced by whether tbe slope is convex, concave, complex or regular. Gard and Van Doren (1950) reported that on a 5% slope, 2l0-foot plots had less runoff and soil loss per unit area than plots 140 feet long. They reported that erosion on concave slopes was worse [han the soil-loss measurement implied. Lixandru (1968) reported from Rumania that soil and water losses 72 Soil erosion problems on an a/fisol in Western Ni geria on 12% regular-slope plots increased with increase in length up to 35 meters. Young and Mutchler (L969) concluded that soil loss from irregular sLopes depended on the steepness of a short section of th e slope imm edi­ ately above the point of measurement. They visualized that soil was pri­ marily transported by raindrop splash 10 a rill system and downward by runoff in the rills. A bleakdo'~n of the rill system at the bottom of concave slopes (due to decreasing local steepness) resulted in sheet flow and sediment deposition thereby decreasing th e soil toss from concave slopes. Nature of Slope on I1TA ' s Slope-Length Plots The slope-length plots at lITA are not of regular slope. There are two general slopes of 10% and 1S %: . On each of the slopes) plots of 12.5m and 3'). Sm were set up . The general nature of the slopes of these plots is shown in Fi g. 9.1. The longer plot on the 10% slope has an exact slope (II) 1~ SLOPE: PLOT (il con.e. slope of 37·5m plot Hi) re\lular slope of (2·5m plot [ b l 15% SLOPE PLOT [ i) c"'"ple. s lope of 3·' · 5m plot convex ---~, c,on CQ'Je (ii) COnCO"9 Slope of 12. · 5m plot Fig.9.1 Slope characteristics and slope length of runoff -plots at 10 and 15 percent slopes. Effect of slope length on runoff and soil loss of 9.3% and the slope is convex with curvature about 27m from the col­ lection system. The 12.5-m plot on the 10% slope has a regular 10% slope. The 37.5m plot on the 15% slope has a mean slope of 13.4%,but the slope is a complex with a convex OIrvature about 2J m and a concave cllrvature about 10 m from the collection system. The 12.5 m plot on the 15% slope has a mecm slope of 19.4% with a concave curvature about 10 m from the collection system. While such complexity could be considered an uw desirable complication it is by no means typical of the forest areas of West Africa. Th c interpretatioll of the rcsu I ts from these plots, therefore, mu st include ((msidcrat inn not only of degree and length of the slopes but also of the nature of the slopes. Efre cl oj Slope LOlgrh on Runoff rnd Soil foss Under ~aize-Cowpea Ro!afiofl for Irregular Slopes: The runoff and soil loss data for 1972 and 1973 arc shown in Tables 9.1 and 9.2 respectively. Hegard!css of the slope, runoff loss per unit are.a \\C\s always less on the longer slopes than on the shorter slopes. The mean wata mnoff for 1972 was in the ratio of 1:1.76 for long and short slopes. Similar water nwon data for 1973 was ill the ratio of 1:2.42. TIle average soil loss during 1972 was similar to that of water runoff WIth a ratio of 1: 1. 77 for long and short slopes. In 1973, the soil loss data were in th e ratio of 1: 1.50. Table 9.1. Effect of contour length on runoff and soi I loss under maize­ cowpea rotation (a 1 First season 1972. Rainfa!!- Run off/ lZ.5m long 37.5m long Soil loss 10.(J% 79.2% 9.3% 13.4% Runoff (rnm ) 230.2 214.3 133.6 125.8 Soil loss 21.2 7.9 , 1.4 5.9 (tons/ ha) Slope Regular Concave Convex Complex (b) Second season 1972. Rainfall - Runoff/ 12.5m long 37.5m long Soil loss 10.0010 19.2% 9.3% 13.4% Runoff (mm) 18.8 21.7 9.1 7.7 Soi I loss 2.7 3.2 1.4 1.1 (tons/ ha) 74 Soil erosion problems on an alfi sol in We stern Ni g eria The effect of the nature of the slope on water runoff and soil loss is obvious from !lIe data presented in Tables 9.1 and 9.2. Total soH loss during 1912 from the 12.:rm plot of regular 10% slope was 23.9 ton/ha compared to 12.8 ton/ha of soil loss from the 37.5 m plot of irregular 10% slope. During 1912, 2.15 times as much soil was lost from the 12.5 m plot of 10% regular slope as from the · 12.S m plot of 19.2% concave slope. During 1973. 54% more soil was lost from the regular slope than from th e steeper concave slope. Table 9.2. Effect of contour length on runoff and soil loss under rna i ze· cowpea rotation (a) First season 1973 Rainfall- Runoffl 12·5m long 37.5m l ong $oilloss 10.0% 19.2% 9.]0,-6 13. 4% Runoff (mm) 193.1 203.0 88.5 80.5 Soil loss 3i.3 22.8 21.5 15.8 (tons/ hal (b) Second season 1973 . RainfaJl- . I Runoff/ 12.5m long 37.5m long Soil loss 10. £JYo 19.2% 9. 3% r3.4% Runoff (mm) 88 .1 55.1 25.7 28.0 Soi I loss 5.2 0.9 1.5 1,4 (tons/ ha) Table 9.3. Effect 01 contour length on runoff and soil loss under bare fallow treatment. (8} First season 1974. Runoff 12.5m long 37.5m long Soil loss 70. 0% 19. 2% 9. 3% 13.4% Runoff (mm) 302.7 260.4 175.6 157.3 Soil loss 77.3 34.6 114.3 68.6 (tons/ ha I Slope Regular Concav e Convex Complex (b ) Second season 1974. Runoff 72.5 m f.ong 3 7.5m l ong Soil loss 10.0% 19. 29-0 9.3% 13.4?1: Runoff (mm) 162.4 140.7 52 .3 52.7 Soil loss 32.3 14.0 40.2 26.8 (tons / ha) Effect of slope length on runoff and soil loss 75 Also during 1972,83% more soil was lost from the 37.5 m plot of 9.3% con vex slope than from the 37.5 plots of 13.4% complex slope. Similar data for 1973 indicate that 34% more soil was lost from the convex slope than from the complex slope. It is justified to conclude, therefore, that the nature of slope \\as more important than the degree of slope within the slope ranges of the present investigations . Under maize-cowpea rotation, convex and regular slopes had higher runoff and soil losses than Concave slopes. effect of Slope Length on Runoff cmd Soil Loss Under Bare fallow Trent ments for Irregular Slopes: Data presented in Table 9.3 indicate the interaction between tIll' nature of slope, the degree of slope and slope length on runoff and soil loss. Once again, water runoff is greater on the shorter slopes than Oil the longer ones. The water runoff per lll1it area on the 12.5 m plots was twice that from the 37 .5 m plots. The soil loss on from the 37.5 m plots was 58% greater than that from 12.5 m plots. The effect of the nature of the slope on runoff can be seen by com­ paring water runoff per unit area from the 12.5 m plot of 10.0% regular slope with that of the 12.5 m plot of 19.2% concave slope. The water runoff from the 10% regular slope was 16% more than that from the 19.2% concave slape. The soil loss however, was 2.25 times greater from the regular slope than from the concave slope of the same length and double the gradient. A similar comparison for 37.5 m plots indicates the effect of con vex versus complex slope on water runoff and soil loss. The 37.5 m plot of 9.3% convex slope had 8.5% more water runoff and 62% more soil loss per unit area than the same length plot of 13.4% complex slope. CONCLUSIONS • Water runoff per unit area was always greater from shorter than from longer slopes. • Under maize-cowpea rotation, more soil and water loss per unit area was lost from convex and regular slopes than from complex or con­ cave slopes. The soil and water loss per unit area was also greater from shorter than from longer slopes. • Under bare fallow, although water runoff per unit area was higher from shorter than from longer slopes, soil loss generally in creased with increasing slope length. 76 Soil erosion problems on analfisol in nestem Nigeria REFERENCES 1. Borst,H. L. and R. Woodburn , 1942. The effect of mulching and me­ thods of cultivation on runoff and erosion from Muskingum silt loam. Agr. Eng. 23: 19-22. 2. Card, L. E. and C. A. Van Doren , 1950. Soil losses as affected by cover,rainfall and slope. Soil Sci. Soc. Am er. Proc. 14-: 374-178. 3. Jamison, V. C. and D. B. Peters, 1967. Slope length of daypan soil affects runoff. Water Resources Res . .J . 471-480. 4. Lixandru , C.,1968 . Determination of critical slope length in . relation to erosion. Stiinta Sol. 6: 12-18 S. Musgrave, G. W. ,1947. Quantitative evaluation of factors in water ero- sion - a first apPlOximation. J. Soil and Water Conserv. 2: 133-138. 6. Smith,D. D. and W. H. Wischmeier, 1957. Factors affecting sheet and rill erosion. Amer. Geophys. Union Trans . 38 : 889-896 . 7. '~ischmeie(, W. H. 1966. Relation of field-plot runoff to management and physical factors. Soil Sci. Soc. Amer. Proc. 30: 272-277. 8. Wischmeier, W. H. , 1972. Upslope erosion analysis. Chapter 15 in H. W. Shen, ed. Environmental lmpact on Ri vers , Colorado Stat<:· University , Fort Collins. 9. Wi schmeier, W. H., D. D. Smith and R. E. Ukland, 1958. EvaJuation of factors in the soil-loss equation . Agr. Eng. 39: 458-462. 10. Young, R. A. and C. K. \1utchler, 1969. Soil mo\'ement on irregular slopes. Water Resources Res. 5: 1084-1089 . 11. Zingg, A. W. 1940. Degree and length of land slope as it ufre cts soil loss in runoff. Agr. Eng. 21 : 59. • 10 nutrIent 1011 fn water runoff Lack of response or relatively little response to applied fertilizer in tropical soils may be attributed to leaching losses and partially to losses in water runoff and eroded sediments. The eutrophication of waters in rivers and streams is also the direct result of these losses. Quantitative information of the magnitude of such losses fn)m West African soils is rather scanty, but there is little doubt that the removal of solutes and the Loss of applied fertilizer are important factors depleting soil fertility. Various workers have attempted to estimate the quantity of solutes lost from soils in temperate regions.Drum et al (1960) for example, reported a loss of 82 t/mi 2/yr of solutes from soils in the U.S . and 44.5 t/mi 2/ y r from soils in the U.S. S. R. Losses of P in runoff water and eroded sediments in temperate regions have received the attention of various workers (Ryden et aI, 1973). Duley (1926) reported that the major loss of P in runoff water was through eroded sediments. These results were reported from Georgia where P losses of only 0.03 to 0.04 kg/hajyr were found in the runoff water. Engelbrecht and Morgan (196l) found P losses ranging from 0 to 16 kg/ha/yr in surface drainage water in Illinois. Munn et a1 (1973) reported that simulated runoff tests conducted on micro'plots of some Obio soils showed a significant correlation between total phosphorus in runoff and the amount of soil removed by erosion. From watershed investigations, Schuman et al (1973) reported a loss of 0.5 to 2.1 kg/ha of P in water runoff. Although the liteIatUIe indicates that most of the P losses ocrur through eroded sediments , the concentration of P in runoff water has been reported high enough to be a primary cause of eutrophication of water supplies. Th ere have been many reports concerning the loss of nitrogen and other nutrient elements in runoff water. Rogers (1944) reported that eroded sediments from com land were richer in Nand P than the original soil. Bryant and Slater (1948) found from their studies in Iowa that although only small amounts of soluble material were lost in runoff water, the removal of solutes and the loss of applied fertilizers were important factors in soil fertili ty depletion. Mattyasovszky and Duck (1954) reported that runoff water from a heavy stonn carried 9.8 ppm of ~03-N and 3.2 gi l 78 Soi 1 erosion problems on an allisol in West ern Nigeria of sediment. Moe et al (1967) found Jess than 2 kg/ ha of urea~N in runoff water. Total loss ofN in this study ranged from 2.4 to 12.)% of applied N. In other investigations,thesc authors reported that the maximum loss of N in runoff water from a 12. 5~cm stonn amounted to 15% of the applied ferti~ 1izer. Frere (1971) found considerable variation in the nutrient con tents of runoff from different watersheds. When a major storm was composed of more than one peak, (he average nutrient concentration varied by as much as 200 percent between waterflow peaks. Barnett et al (1972) reported from their studies on some Puerto Rican soils that the average concentra~ tion of N in runoff water ranged from 0.01 to 0.02 ppm and the average concentration of K varied from 0.01 to 2.29 ppm. Nutrient losses in runoff water in northern Nigeria have been reported by Kowal(19J2). The average annual loss of Ca , \ig, and ~a in runoff water and eroded soil varied from 14 to 30 kg/ha. The average annual N loss ranged from 7 to 19 kg/ha. Methods of Sample Collection and Water Analyses: In the studies reported here runoffwater samples from each of 24 plots were collected after every storm during 1972 and 19'13 and were either analyzed immediately or stored at 4°C pending anlysis. The water samples were analyzed for pH, conductivity, ~03~N, P04~P, K, Ga and Mg. The concentration of Ca and K were determined by flame photometry and the concentration of Mg by atomic absorption spectrophotometry. Phosphorus was measured colorimetrically using the molybdic acid~blue melhod; NO ~~ was measured colorimetrically using brucine (Greweling andPeach, 1965). NUTRIENT CONTENTS (A) Effect of Cropping Sequence attd Soil4anagemettt : 1972-73 Results : The pH of th e runoff water was significantly affected by soil and crop management treatments . For instance during April 1973, the pH of runoff water from bare~fallow plots was 6.6 and the pH of runoff water from mulched and no~tillage plots was 7.1. By October 1973, the pH of runoff water from bare~fallow plots was 5.9; from cowpea-maize (con~ ventional plowing) plots, 6.4 ; from maize~maize (conventional plowing) plots, 6.5; frommaize~cowpea (no~tillage) plots, 6.6; and from maize~ maize (mulched) plots, 6.7. Total Nutrient Loss: Total nutrient losses in the runoff water were proportional to the surface runoff and were, therefore, affected both by slope and soil-man~ agement treatments (Figures lO.l and 10.2) The nutrient losses from the no~tillage plots during 19]2 must be viewed separately because the soil surface had been disturbed and there was no surface mulch. For the sake of comparison among treatments, therefore, the results of the 1973 studies are di scussed here. Nutrient loss in water runoff 79 1972 50 __ tKlre fallow D---..--...L>. cowpea-molze (plowtd) ___ malze-cowpea(no tllkIc.I~) 46 m alII-moire (mijlch) 44 42 40 :: ~4 o ~ 32 ~ 30 c ~ 28 26 •• " 24 c 22 • ~ :> 20 '" 18 J! .2 \6 14 12 10 8 6 4 2 o~~~~-:--~~~~----~~~~~--~~~ 2 3 4 5 6 7 8 9 10 II 12 13 14 15 16 17 .10 p. "I. Fig. 10.1 Effects of slopes, crop rotations and residue management on loss of total nutrient elements in runoff water in 1972. Total nutrient losses in runoff water followed the order of bare~ fallow> maize·maize (conventional plowing» cowpea-maize (conventional plowing) maize-cowpea (no·tiUage» maize-maize (mulched). Total annual nutrient losses from the bale-fallow plots ranged from ")4 to &4 kgjha. 80 Soil erosion problems on an allisol in Western Nigeria 1973 100 _ - bare fo lio" q6 o----tl moize-rnGlze (plowed) "-----6 COtIIpeo- molze (plowed) 92 -- rnaiza-cOOfpea (no IIIlaQe l BB molz.- molJ. (mulal. d) B4 B,O 76 72 -;: 68 "0- ~ 64 "c-o ~- - 60 0 c ~~ => ~2 !- <> ~ 4B .-!O 44 • £ 40 ~ ~ 36 ; c: 32 ~ 0 28 24 2 16 12 8 4 2 3 4 !\ 6 1 8 9 10 II 12 13 14 I:) 16 rr 18 .'ope % Fig. 10.2 Effects of slopes, crop rotations and residue management on loss of total nutrient elements in runoff water in 1973. Total annual nutrient losses from the maize'rnaize (conventional plowing) plots varied from 10 to 32 kg/ha and those from the cowpea'maize (con' ventional plowing) from 5 to 23 kg,lha. The total annual Dutri ent losses from the mulched and no,tillage plots were the lowest and ranged from 0 to 5 kg/ba from the mulched plots and 2 to 7 kg/ha from the Do-tillage plots. Nutrient loss in water runoff 81 Loss of Different Plant Nutrients: The effects of soil and crop management treatments on losses o f various plant nutrients in runoff water for both growing seasons of 1972 and 1973 are shown in Tables 10.1, 10.2, 10.3 and lOA. Only the results of the 1973 studies are discussed here. There were no definite trends in nutrient losses with regard to slope steepness. The highest nutrient loss occurred from the bare-fallow plOlS and the lowest from the mulched and no-tillage plots . The losses of N03-N in the runoff water from the S% slope plOlS during the first season 1973 were 3.3 kg/ ha from the bare-fallow plot , 1.5 kg/ ha from the maizc-mai::e (conventional plowing) plot , 0.1 kg/h a from the no-tillage plOl and 0 .04 kgjha from the mulched plot. The losses of P were less , ranging from 0 to 1. j kg/ ha from 5% slope plots. The losses 0 f K ranged from 0.1 to 9 kg/ ha, those of Ca from 0.1 to 19 kg/ ha and those of Mg from 0 to 3.3 kg/ ha . Similar losses were recorded during the second season. Effccl of Length of Slope 011 Nutriel1t Loss il1 Water Runoff: The effect of length of slope on nutrient loss during the first and second seasons of 1972 and 1973 are shown in Tables 10 .5 and 10.6. Nutrient losses in water we re proportional to the quantity of runoff amI, therefore, the analysis presented in Chapter 9 applies here. During 1972 losses of NO -N varied from 0.09 to 6.0 kg/ ba, those of P from 0 .06 to 1.9 kg/ ha, those of K from 0.5 to 13.4 kg/ ha , those of Cafrom 0. 3 to 14.1 kg/ ha, and those of Mg from 0.3 to 4.2 kg/ ha. Nutrient Losses in Runoff Water at Different Stages of Crop Growth : The losses of NO -N in runoff water at different stages of crop growth are shown in Figure 10.3. As expected, the losses were the highest from the bare-fallow plots and lowest from the mulched and no-tillage plots. The relative loss of nitrogen from the 5- 10- and 15- percent slope plots increased wi th time from the onset of the rainy season in April to the end of first cropping season in August. The change in the hydro-thennal regime of the soil from hot and dry at the beginning of the season to cool and moist toward the end may be one of the reasons for higher nitrate losses in runoff water during August. Similar data on P, K, Ca and Mg losses from the 5 percent slope plots are shown in Figure 10.4. While the losses of NOrN increased during the growing season, P , K, Ca and Mg losses were highest during mid-season and decreased markedly toward the end. 00 N Table 10.1. r--'utrient loss ill rUlioff water (kg/ ha) for different slopes and soil management treatment s. (First season 1972) 1% 5% 10% 15% Rotation N0 ,N P0 ,P K Ca Mg NOS ,N P0 'P K Ca Mg NOS,N P0 ,P K Ca My 3 4 4 NOS ,N P0 ,p K 4 Ca Mg 4 Bare 3.85 0.41 4.540 8.07 1.80 6.25 0.63 7.50 i4.60 2.69 7.34 1.81 8.3015.674.78 5.25 0.54 6.17 14.87 4.77 Maize 0.C02 0.001 0.006 0.04 0.006 1.11 0,03 0.51 2.19 0.09 0.24 0.14 0.23 0.580.12 0.29 0.02 0.34 0.78 0.13 (mulch) Maize 2.42 0.14 1.48 4.66 0.60 1.99 0.39 3.81 5.84 2.05 1. 92 0.14 1.863.230.59 2.09 0.17 2.29 2.05 1.71 Maize 0.42 0 ..3 4 0.39 0.87 0.45 1.83 0.41 5.58 11.26 2.00 2.73 0.35 3.58 4.41 2.30 3.06 0.34 4.40 12.86 3.65· (no·ti Ilage) Cowpea 0.15 0.014 0.24 0.28 0.58 0.80 0.17 3.04 3.65 0.76 0.63 0.09 1.t3S 2.91 0.24 0.74 0.00 2.10 1.79 0.46 (plowed) Table 10.2 . Nutriellt loss in runoff water (kg/ ha) as affected by different slopes and soil management treatments. (Second season 1972 : 1% 5% 10% 15% Rotation N0 ,N P0 ,P K Ca Mg N0 ·N P0 ·P K Ca My NO .N PO .p K Ca My N0 ·N P0 ·P K Ca Mg 3 4 3 4 3 4 3 4 Bare 0.48 0 .26 0.62 4,95 0.41 0.68 0.21 1.18 7.59 0.40 0.28 0.16 0.61 4.28 0.37 0.80 0.53 0.83 5.89 0.49 Maize 0.00 0.00 0.00 0.00 0.00 0.02 0.004 0.03 0.25 0.02 0.06 0.02 0.13 0.72 0.07 0.05 0,02 0.10 0.57 0.04 (mulch) Maize 0.04 0.02 0.08 1.69 0.01 0.19 0.03 0.25 2.14 0.18 0.10 0.07 0.20 1.68 0.13 0.18 0.10 0.29 1.63 0.14 CO\l\lpea 0.03 0.03 0.04 0.29 0.02 0.08 0.02 0.12 0.74 0.06 0.10 0.04 0.29 1.03 0.09 0.07 0.04 0.21 0.98 0.08 (no,tillage) Maize 0.02 0.05 0.13 0.9) 0.09 0.53 0.09 0.46 3.39 0.32 0.13 0.03 0.22 0.73 0.10 0.44 0.29 063 3.31 0.28 Taulp.l(l.~. Nutrient loss in run-off water (kg/ ha) as affected by different slopes ilnd soil management treatments (First Season 1973) 1% 5% 1CIX. 15% Rotation N0 -N p~ -p K Ca Mg N0 ·N 3 P04'P K Ca Mg NCl.J.N P0 .p K Ca My 3 4 N0 ·N P0 .p K Ca My 3 4 Bare 3.B6 1.73 7.35 11.88 3.12 3.29 1.49 9.12 19.07 3.29 3.74 1.54 8.28 21.88 4.24 4.25 1.97 10.36 21.53 6.54 Maize (Mulch) 0.00 0.00 0.00 0.00 0.00 0.04 0.01 0.12 0.140.03 0.14 0.07 0.62 0.30 0.11 0.16 0.80 0.44 0.22 0.10 Maize 0.54 O.4B 2.01 3.31 0.74 1.52 1.18 8.00 11.21 2.54 0.43 0.36 2.21 3.91 0.91 O.SO 0.86 4.86 ~.01 1.76 Maize INo·tillage\ o.n 0.04 0.21 o.n 0.06 0.\3 0.10 0.56 0.530.24 0.11 om 0.45 0.30 0.12 o.n 0.89 0.!l9 0.25 f).~1 Cowpea (Plowed) 0.15 0.27 0.74 1.35 0.29 0.76 0.34 5.23 6.42 1.21 0.35 0.40 1.93 2.55 0.65 0.32 0.44 2.32 1.70 0.76 TaUle 10.4. Nutrient loss in run-off water {kg/ hal as affected by stope and soil management treatment (Second Season 1973) 1% 5% 1fYJ6 15% Rotation N03 ·N P04 ·p K Ca Mg N03 ·N P0 -p 4 K Ca Mg N03 -N P04-P K Ca Mg NOyN P0 .p 4 K Ca Mg 8are 11.37 1.88 Q.62 18.21 5.20 7.54 1.92 B.31 17.54 3.48 7.75 2.18 9.92 12.06 2.75 8.94 2.71 9.03 15.BO 2.77 Maize Maize (Mulch) 0.00 0.00 0.00 0.00 0.00 0.22 0.02 0.20 0.22 0.05 0.44 0.93 0.74 0.47 0.15 0.51 0.13 1.60 0.77 0.23 Maize 0.50 0.10 0.80 0.92 0.15 1.60 0.31 3.52 2.01 0.39 1.12 0.26 2.09 1.88 0.38 2.09 0.84 5.37 3.89 0.96 Cowpea (No··till age) 0.30 0.03 0.25 0.41 0.19 0.32 0.07 1.31 0.47 0.14 0.48 0.13 2.03 0.80 0.18 0 .51 0.12 2.82 0 .75 0.30 Maize (Plo""ed) 0.48 0.17 0.72 0.{\8 0.24 1.79 0.41 3.76 2.54 0.75 0.94 0.35 3.39 2.47 0.65 2.32 1.23 5.10 6.06 1.21 CO IoN 84 Soil erosion problems on an alfisol in West ern Nigeria Table 10.5. Contour length and nutrien t loss (kg/ha) in run-off {a\ First season 1972 Slope 12.5mlong 37.5m long % N~-N PO"p K G Mg N03"N P04 -P K G My 10.0 6.00 0.60 6.46 8.48 2.70 19,2 3.51 0.70 5.77 18.89 2.65 9 .3 1.65 0.44 3.42 13.77 U8 13.4 2.01 0.29 5.84 11.75 5.06 {bf Second season 1972 10.0 0.08 0.08 0.52 3.93 0.32 19.2 0.52 0.13 047 4.63 0.45 9.3 0.09 0.06 0 .26 1.91 0_17 13.4 0.15 0.07 0.27 1.89 0.21 Table 10.6. Contour length and nutrient loss in \NEIer kg/ha. fa} First season 1973 Slape 12.5m long 37.5m long % N03 ·N P04'P K G Mg N03·N P04'P K G My 10.0 2.69 1.87 11.06 14.11 3.05 19.2 2.19 1.75 10.60 13.72 4.24 9.3 0.87 0.87 4.37 6.54 1.64 13.4 0.57 0.60 3.78 618 1.55 (b) Second season 1973 10.0 2.51 0.91 13.40 6.91 1.42 19.2 1.23 0.41 6.72 2.97 0.'76 9.3 0.68 0.25 3_27 1.79 0.28 13.4 0 .80 0.22 2.98 1.28 0.33 Relative Nutrient Concentration in Runoff Water: Relative nutrient concentrations in runoff water on October 22, 1973 are shown in Figure 10.5. The concentration of NOJ-N in runoff water was only slightly affected by 'soil, slope and crop-management treatmen ts_ Nitrate concentration ranged from 4 to 6 ppm. Concentrations of PO",-P, K, Ca and Mg, however, were significantly influenced by different treat­ ments_ The phosphate concentration was the high est in the runoff water from the cowpea plots in the maize-cowpea rotation with both no-tillage and conventional plowing treatments. Th e Ca concentration was signifi­ cantly higher in the runoff water from the bare-fallow plots than in the 11"1 I · 1'1'. 15'1'. 2 '01 CIO Ie 5 .. SIo!>o 1·61 1, 2,3.4.5 1·4 .. lie. ... j\, ~ ·3 1·2 \ \ ~ ·1 --~~ J! g ~ ---..... z I IIg '", -' il 5% 10% ·'8I t · 5 ·7 J 4 ·01 • • 1 · ~I 3 ·0' ·4 ·3 2· · 2 ..., · 1 /~ 1·0 L 1 Aow. May Jun. "'1 . AII90 Aow. May Jill. JUI. AlIt. l , , >.------, b -,-~~l A.... M., ...... ~.I . A. ... Apr. 1I0y ....... JuL .... .. r iME Fig. 10.3 Loss of N03-N in runoff water at different 5tages of crop growth as influenced by soil rranagement Fig.10.4 Loss of nutrient elements such as P, K, Ca and Mg and crop rotation treatrrents. in water runoff at different stages of crop growth. 86 Soil erosion problems on an alfisol in Western Nigeria OCT 22,1913 8 N03-N r:: ~~ : ~ 4 ::!: - , '! ~ I: .. :. ~ O~~~'· ~·~----~~- 4 p 2 E O~~n3d-__~ ~.cL-__ LL~~L--L~~~ __ Q. §Maize-Cowpeas( No-Tillage) ~ 120 • Maize - Maize (Mulc.hed) K r.f) z o !;i 60 a:: t- z W u z 8 o Cowpt'as - Maize 40 Ca ~ Cowpt'as 20 o~~~~~----~~~~----~~~~~~~~~~--- 4. 2 SLOPE (0'.) Fig. 10.5 Relative nutrient concentration in runoff water from different treatments of soil management and crop rotation. runoff water from the other treabnents. Similarly, the Mg concenttation was highest in the runoff water from the bare-fallow and cowpea plots under both conventional and no-tillage treatments. The concentrations of N03~N and P04-P recorded in runoff water is definitely high enough to enrich stream water. Concentrations of P above 0.05 ppm are considered high enough to' cause. eutIoph icalion. The high concentrations of P in the runoff water from the no-tillage plots may be due to surface application of the fertilizer and the high solubility of super­ phosphate in the partially decomposed mulched layer (Fink and Wesley, 1974). The high concentrations of K in the runoff water from the no-tillage Nutrient loss in water runoff 87 SEPT. 14, 1973 N 6 • Surface Ru noff P o Sub SUrface Water ~o o ~1 IX: ~ Z W <..J Z o u r- 16 Mg .- 8 .- r- o -"" 5 - 10 15 SLOPE (%) Fig. 10.6 Relative nutrient concentration in surface runoff ana su~surface inter-flow water. plots may also be due to surface application of potash as well as th e release of K from the decomposing crop residue. The high concentrations of Ca and Mg in the runoff water from th e bare,fallow plots may be attributed to exposure of subsoil ri ch in Ca and Mg when the surface soil was removed by erosion. Relative Nutri ent COl1c el1 Irati ons il1 Seepage Waf er: During heavy storms in July and September of 1972 and 1973. in ter~ flow water was al so collected hom some plots on th e IS-perc ent s lope. The relative nutrient concentrations of th e interflow and surfacc cunof[ water from on e of th ese plots are shown in Figure 10.6. Th e NOrN con- 88 Soil erosion problems on an alfisol in Western Nigeria centralion in the interflow water was consistently 2 and 3 times higher than that in the surface runoff water and the Ca and Mg concentrations were also much higher. The PO -P concentrations in the interflow water were negligible compared to those in the surface runoff water. The con­ centrations of K is variable, but the K concentrations in the surface runoff water from the no-tillage plots were higher than those in the interflow water. 1t appears that Jeaching losses of nitrogen may be significantly higher in tropical soj]s than the losses in runoff water. Although the total annual losses of N03-N in runoH water under crops may be only 2 to 3 kg/ha, leaching losses may account for the relatively low efficiency of nitrogenous fertilizers in tropical soils. Because the phosphate concen­ tration in interflow water is negligible, the pollution of rivers and streams in tropical soils can be minimized by soil management practices, e.g. mulching and no-tillage techniques that minimize runoff and favor inter­ flow. Changes in Nutrient Concentrations with Time after Application: Changes in the concentrations of N03-N, P04-P and K in the runoff water from the bare-fallow and conventionally plowed maize plots with time after fertiliZer application are shown in Figure 10.7. The concentra­ tion of N03·N in the runoff water increased a few days after fertilizer application and decreased sharply 20 to 2S days after. No. consistent pattern in the nitrate concentration was observed thereafter. The frequency of rains significantly influenced nitrate concentration. The concentration of NOrN in the runoff water was substantially increased by rain after a prolonged dry spell. The P04-P concentration in runoff water was highest 7 to 10 days after application of single superphosphate, and reached a constant level about 20 days after application. The phosphate Concentra­ tion reached a steady value of 0.1 ppm 90 days after. The K concentration, however,was highest immediately after application and decreased steadily with time after application. The K concentIation decreased from about lO ppm immediately after application to 3 ppm 50 days after and leveled off at 2 ppm between 6S to 90 days. Relation betwe en Vo 11-1111 e of Run" ff and Nurri enl Concentration : From the data of five consecutive rainstonns between May 28 and June 2, 1972, the runoff losses from bare-fallow plots ranged from 0.22 to 30.19 mm, while those from conventionally plowed maize plots varied from 0.09 to 11.23 mm. The concentrations of N, P and K in the runoff water were relatively independent of runoff volume. During one slOrm the con­ centration of NOyN was 3 ppm in 0.18 mm of runo£( and 3.7 ppm in 1.8 mm of runoff. The P concentration during this period was stead)' at 0.35 9"Q\\\ a.M \\\at 0\ ¥. a\ ') \1;) ~ \'l\\\\\. NulT; ent loss in water tunotf 89 8 7 -:>----------e Bores N x-- xMoize 6 4 3 2 p ~ 1-4 e ~12 ~I ~ Q: o-a zt- ~06 z 80-4 :;> )I. 0 x x ~ 6 x x x 0 (') 0-2 y. x 0 ~ x 0 0 0 5 10 15 20 25 30 35 -40 45 50 55 60 65 70 16 K x s 0 4 ~ x 0 0 x )( 2 0 It 0 6 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 Do)'S After Ap plication Fig. 10.7 Changes in the concentration of N03-N. P and K at different times after fertilizer application. (B) NutrieNt Lo sses i~ Runoff Water as Arrec led by Different Mulch Rates : Total Nutri ent loss : The effects of different mulch rate s and s lopes on total nutrient losses in water runoff from uncropped plots are shown in Figure 10.8. Total nutri ent losses decreased logarithmically with increases in mulch late. FOT example , the mean annual nutri ent losses were 54.6 , 9.5, 4.2 90 Soil erosion problems on an alii sol in Western Nigeri a ,!Xl o 'Ill c 2 I 0----0 ~ ,00001'I"ICI ......---. 4 lon .. nl(l ...---.-. Ei ,o",/tla _ ___ r.G-" 4 6 • 9 .0 It 12 13 14 ~ alope % Fig. 10.8 The effects of different mulch rates and slopes on total nutrient losses in runoff water. and 1.9 kg/ha from plots mulched with 0, 2, 4 and 6 tons of straw per hectare. The average annual nutrient loss from the no·tillage plots was 3.6 kg/ha , about the same as that from the plots mulChed with 4 tons of straw per hectare. Lo sse s of Different Plan t Nu trietlts : The losses of different plant nutrients as affected by mulch rcUe and slope steepness during the first and second seasons of 1974 are shown in Tables 10.7 and 10.8. There were no significant effects of slope steep· ness on nutrient losses. The highest losses during one season were 13.4 kg/ha of NO ·N, 2.5 kg/ha of PO .p , 20 kg/ha of K, 14 kg/ha of Ca and 2.7 kg/ha of Mg. Negligible nutrient Josses were recorded from the plots mulched with 4 to 6 tons of straw per-hectare. Table 10.7 . Nutrient loss in run-off ""ater (kg/hal at different mulch rates (tons/hal. \ Fi rst Season .'1314\ Slopl3 0 2 4 6 No (if/age % N~-N P04 -P K Ca My N~ -N P04 -P K Ca My N03 ·N P04 -P K Ca My N03 -N P04 -P K Ca Mg No..;.N P04 -P K Ca Mg 1 9.47 2.16 )2,40 11.591.78 0.14 0,03 0,16 0.17 0,04 0,09 0.03 0.11 0.13 0.10 0,00 0.00 0.00 0.00 0.00 0.15 0.04 0.16 0.17 0.06 5 10.16 2.50 19.90 14.082.66 1.59 0.35 1.90 1.52 0.71 0,24 0.14 0.51 0.33 0.10 0.19 0.03 0.19 0.17 0.D7 0.29 0.07 0.32 0.28 0.10 10 7.35 1.45 11.22 8.71 2.09 1.04 0.29 2.03 1.17 0.36 0.46 0.15 0.13 0.70 0.29 0.23 0.07 0.61 0.37 0.11 0.36 0.15 0.88 1.49 0.18 15 13.43 2.43 15.04 9.21 2,60 1.00 0.39 2.06 0.72 0.36 0.61 0.12 0.13 0.69 0.18 0.33 0.10 0.68 0.42 0.18 0.34 0.11 1.78 0.55 0.26 Table 10.8, Nutrient loss in run-off water (kg/ ha) at different mulch rates (tons of straw/ hal (Second Season 1974) Slope 0 2 4 6 No tillage % NO -N PO·p K Ca My N0 N P0 'P K Ca Mg N0 ·N PO -P K Ca My N0 -N PO -P K Ca Mg N0 ·N P0 ·P K Ca My 3 4 3 4 3 4 3 4 3 4 1 3.48 1.17 3.75 9.09 0.58 0.58 0.26 0.53 0.14 0.13 9.96 0.02 0.04 0.00 0.02 0.00 0.00 0.00 0.00 0.00 0.16 0.03 0.15 0.22 0.04 5 1.48 1.17 3.75 19.87 0.64 1.49 0,67 0.58 3.96 0.57 0.43 0.20 0.71 1.04 0.13 0.10 0.03 0.12 0.13 0.03 0.16 0.03 0.22 0.29 0.05 10 1.11 0.71 2.64 5.61 0.31 0.49 0.33 1.28 2.25 0.22 0.40 0.12 0.72 1.40 0.31 0.24 0.06 0.33 0.35 0.06 0.24 0.06 0.45 0.58 0.09 15 1.71 0.72 2.68 4.98 0.52 0.83 0.37 0.14 4.71 0.57 0.63 0.30 1.52 2.33 0.30 0.29 0.07 0.45 0.67 0.11 0.31 0.10 0.69 0.65 0.14 -I.e:> 92 Soil erosion problems on an alfisol in Western Nigeria Table 10.9. Effect of slope length on nutrient loss in ~ater run-off under bare fa II ow. (F i rst Sea son, 19741 12.5 m long 37.5 m long Nutrient Run -off Run- off kgl ha 10.(J% 19.2% 9.3% 73.4% N03-N 7.6 10.5 3.4 4.5 P 2.6 1.9 1.6 1.5 K 17.3 14.5 7.7 7.n Ca 5.8 11.2 4.2 4.3 Mg 2.3 4.2 2.2 1.6 Table 10.10. Effect of slope leng1h on nutrient loss in water run-off und er bare fallow. (Second Season, 19741 12.5 m long 37.5 m long Nutdent Run-off Run-off kg/ ha 1OJJ% 19.2% 9.3% 13.4% N03 -N 4.2 3.1 3.9 3.8 p 1 .7 2.0 2.1 2.1 K 1.3 1.2 1.4 1.2 Ca 2.6 3.7 2.4 2.6 Mg 0.6 0.6 0.5 0.6 The effects of slope length on nutrient losses in runoff water are shown in Tables 10.9 and 10.10. Nutrient losses in runoff water from plots mulched at the rate of 4 to 6 tons of suaw/ha or from the no-tmage plots were relati vely negligible. CONCLUSIONS Although th e total losses of NO -N, Po .p and K in runoff water are rather small, the relative concentration of these elements is high enough to enrich water and cause pollution of streams and lakes. The leaching losses of nitrogen, as indicated by higher concentrations of No -N in inter-flow water further strengthens the case for llsing minimum tillage and mulch farming techniques to conserve soil and water and minimize pollution hazards in the trop.ies. Nutrient losses in runoff wa.ter from plots mulched at the rate of 4 to 6 tonsjha of straw or flOm the no-tillage plots were negligible. Nutri ent loss in uater runoff 93 REFERENCES 1. Barnett, A.P.,] .R. Carreker and F. A bruna, 1972. Soil and nutrient losses in run,off wi th selected cropping treatments in tropi cal soils. Agron. J. 64: 391-395. 2. Black, C.A., 1970. Behavior of soil and fertilizer phosphorus in relation to water pollution: Agricultural practices and water quality. Pages 72 - 93 in The Role of Agriculture In Clean Water. Ames, Iowa. Nov. 18-20, 19]0. 3. Bryant,]. C. and C. S. Slater, 1948. Runoff water as an agent in the loss of soluble materials from certain soils. Iowa St. CoI1. J. Sci. 22: 269-297. 4. Drum,W. H., S. G. Heidel and L. J. Tison, 1960. WOJld wide run'Off of dissolved solids. lnt. Ass. Sci. Hydro1. Pub!. 51. Gen. Assembly Helsinki: 618-628. 5. Duley, F. L. , 1926. The loss of soluble sal ts in runoff water. Soil Sci. 21: 401-409. 6. Englebrecht, D. S. and J.]. Morgan, 1961. Land drainage as a source of phosphorus in Illinois surface waters. P. 74-79. Sec. Tr. W61-3. U. S. Public Health Service, Washington, D. C. 7. Fink, R.]., and D. Wesley, 1974. Com yield as affected by fertiliza­ tion and tillage systems. Agron. J. 69: 70-JI. 8. Frere, M.H., 1971. RequiSite sampling frequency for measuring nutrient and pesticide movement with runoff water. ]. Agric. and. Food Chern. 19 (5): 837-839. 9. Grewcling, T. and M. Peech; 1965. Chemical soil tests. Cornell Univ. Agric. Expt. Station Bui. 960. 10. Johnston, W. R. , F. Ittihadish, R. M. Daum and A. F . Pillsbury, 1965. Nitrogen and Phosphorus in tile drain effluent. Soil Sci. Soc. Amer. Proc. 29: 28/-287. 11. Kowal,]., 1972. The hydrology of a small catchment Basin of Samaru, Nigeria IV. Assessment of soil erosion under varied land maw agement and vegetation cover. Niger Agric. ]. 7: 134-147 . 12. Mattyasovszky, ]. and T. Duck, 1954. The effect of erosion on the nutrient status of soils. Agrokem Talajt 3: 163-172. 94 Soil erosion problems on an alfisol in Western Nigeria 13. Moe, P. G., J. V. Mannering and C. B. Johnson, 1967. further studies of nillogen losses in surface runoff water on fragipan soil. Res. Prog. Rep. Purdue Univ. Agric. Exp. Sta. No. 287. 14. Moe, P.G., J. V. Mannering and C.B. Johnson, 1967. Loss of fertilizer N in surface runoff water. Soil Sci. 104: 389-394. 15. Moe, P.G., J. V. Mannering and C. B. Johnson, 1968. A comparison of nitrogen losses from urea and ammO'niun nitrate in surface runoff water. Soil Sci. lOS: 428-433. 16. Munn, O. A. , E. O. Mclean, A. Ramiroz and T.J. Logan, 1973. Effect of soil, cover, slope and rainfall factors on soil and phosphorus movement under simulated rainfall conditions. Soil Sci. Soc. Amer. Proc. 37: 428-431. 17. Rogers, H. T. 1944. Plant nutrient losses from a COlD, wheat, clover rotation on Dunmore silt loams. Soil Sci. Soc. Amer. Proc.6:263- 271. 18. Ryden, J. C., J.K. Syers and R. F. Harris, 1973. Phosphorus in runoff and stream. Adv. Agron. 1973: 1-45. L9. Schuman, G. E., R. G. Sponier and R. F. Piest, 1973. Phosphorus losses from four agri cultural watersheds on Missouri Valley Losses. J. Soil Water Conserv. 22: 228-231. 20. Timmons, D. R., R. E. Burwell and R. F. Holt, 1968. Loss of crop nutrients through runoff. Minnesota Sci. 24: 16-18. • I I nutrient 1011 in eroded ledimentl Tolerable limits of soil erosion depend on the depth of the surface soil, the nutrient status and physical chruacteristics of the subsoil and the nature of the crops to be grown. Soil erosion results both in loss of nutrients and degradation of soil physical characteristics. In this chapter, the loss of nutrients with eroded sediments will be discussed. Massey et al (1973) reported an average loss of 192 kg of organic matter, 10.6 kg of N and 1.8 kg of exchangeable K per hectare on a Wis~ roDsin soil of 11 percent slope. Osborn and Mathews (1955) found that losses of N from the 0-15 on layer of soil ranged from 4S percent under continuous small grains to 60 percent under continuous row cropping. Thomas et al (1968) reported that the highest concentrations of nutrients in the soil lost from various treatments were 633 ppm of Ca and 104 ppm of K. The total loss of Ca was 1622 kg/ha while that of K ranged from 0.14 to 0.22 kgJha. One major nutrient lost in the eroded sediment is applied phosphorus (Ensminger, 1952; Gupta and Singh, 1967; Scarsetb and Chandler, 1938; Yolk, 1945). Extensive loss of nitrogen in eroded sediments has also been reported by various wolkers (Kowal, 1972; Massey et ai, 1953; Osborn and Mathews, 1955; Rogers, 1944). Methods of Nutrient Analysis: For the studies reported here composite samples of e~oded sediments from all stonns were collected from all 25 plots at the end of each growing season. The samples were analyzed for organic carbon by wet combustion, total nitrogen by Kjeldahl, available phosphorus by the Bray No.1 method and ammonium acetate extractable cations, e.g. Ca ++, Mg++ and K +. Nutrient losses in the eroded sediments will be discussed in two sections. The first deals with nutrient losses as affected by different cropping sequences and soil-management practices. The second deals widl the effects of different mulch rates on nutrient losses. 96 Soil erosion problems on an alfisol in Western Nigeria Effect of Cropping Sequence and Soil Management on N14trient Losses in Eroded Sediments. Total Nutrients : Total annual nutrient losses, the sum of the N, P, K, Ca and Mg losses , during 1973 are shown in Figure 11.1. Total nutrient losses in eroded soil from the mulch and no-tillage treatments were negligible. The total annual nutrient losses from the bare-fallow plots ranged from 65 kg/ ba from the 1% slope to 600 kg/ba from the 10 and 15% stopes. Annual nutrient losses from the maize-maize (conventional plowing) plots were 9 kg/ha from the 1% slope and 140 kg/ha from the 15% slope. Similar losses from the cowpea-maize plots were 5.6 kg/ha from the 1% slope and 210 kg/ha from the 15% slope. _ ..... ' ':IIe!. ~ ,..._ •• 1'.'. ..... . ~OI:lW. ___ t. ....) ..... , .. 0 II II 13 .. I!I Fig. 11.1 Effects of slopes and crop rotations on total nutri ent loss in eroded sediments during 1972. Total annual losses of organic carbon during 1972 and 1913 are shown in Figures 11.2 and U.3. Because erosion losses were high during 1973, so were the nutrient losses in eroded sediments. Organic C losses from the bare-fallow plots varied from 54 to 1030 kg/ha during 19'72 and (rom 400 to 3080 kg/ha during 1973. There were no significant differences in the losses of organic C from the maize-maize or cowpea-maize plots. Mean annual losses ranged from 20 to 200 kg/ha during 1912 and 40 to 900 kg/ha during 1973. Nutrient loss in eroded sediments 9] 10 1111 -- - ...............1 .- . a.--c ...... _ ..... i ; 1 i 1.. II • I M ••e ... Fig. 11.2 Total loss of organic carbon in the eroded sediments in 1972. -_.... ...... .. .. ---.. ~ ...,..-.... . ! ~o 1 ~ 4 , • .7. . ,. • "" • C '1 • ~ ~ • Fig. 11.3 Total loss of organic carbon in the eroded sedirrents in 1973. 98 Soil erosion problems on an alfisol in Western Nigeria Loss of Differrnt Plant Nutrients: Losses of various plant nutrients during the first and second growing seasons of 1972 and 1973 are shown in Tables 11.1, lL2, 11.3,and 11.4. Because the soil~management treatments were more effective during 1973, the results for that year only will be discussed here. Total N losses from the bare-fallow plots during one season ranged from 2S kg/ha from the 1% slope to 220 kg/ha from the 15% slope. Second season losses were lower than first season losses. Total N losses from the maize~maize plots varied from 4 kg/ha fIOm the 1% slope to 38 kg/ha from the 15% slope. Similar losses from the cowpea-maize plots were 2.4 kg/ha from the 1% slope to 16.0 kg/ha from the 15% slope. Losses of available P were small compared to those of N. P losses ranged from 1. 5 to 9.8 kg/ha from the bare~fallow plots, from 0.2 to 1.6 kg/ha from the maize~maize plotsand from 0.15 to 1.0 kg/ha from the cowpea~aize plots. Losses of eXChangeable cations were generally high. K losses varied from 2.2 to 16.7 kg/ha from the bare~faUow plots, hom 0.4 to 4.2 kg/ha from the maize~maize plots and from 0.2 to 2.0 kg/ha from the cowpca~ rnai ze plots. Ca losses were much higher than Mg losses. Slope Length and Nutrient Loss in Eroded Sediments: Nutrient losses from the maiz.~cOwpea plots as affected by degree and length of slope are shown in Tables 1l.S, 11.6, ll.] and 11.8. In general, nutrient losses were proportional to soil losses. Total N losses during 1973 varied from 26 to 45 kg/ha under maize and from 2 to II kg/ha under cowpeas. Simi lady, losses of a vaiIable P ranged from 1 to 2.8 kg/ha under maize and from 0.1 to 0.5 kg/ha under cowpeas.Losses of exchange, able K ranged from 2.7 to 6.0 kg/ha under maize and from 0.2 to 1.0 kg/ba under cowpeas. (8) E(fects of Mulching Rates on Nutrient Losses in Eroded Sediments . Losses of organic C in eroded soil as affected by slope and rate of surface mulching are shown in figures 11.4 and H:S. Because there was no soH erosion from plots mulched at the rate of 6 t/ha or from the no~ tillage plots there was no loss of soil organiC matter. Losses of organic C during the first season varied from 200 to 1000 kg/ha from the unmulched plots , from 16 to 100 kg/ha from plots mulched at the rate of 2 t/ha, and from 10 to 15 kg/ha from plots mulched at the rate of 4 t/ha. Similar losses were recorded during the second season (Fig. 1 L 5}. Table 11.1. Nutrient loss in eroded 50il (kg / hol os offected by different sl ope and soi l management treatments. I Fi rs t Season . 19721 . Treat 1% S% !ax, 15% menr O. C N03·N Bray EK eh. E.·ch. [ xch. O.C N03 ·N Br<1y Exch. E. .: It. Exclt. O.C N03 ·N Bray Exch. Exch. E. 14 .83 0.87 'l .3E> 0.78 2.14 1078 8.31; 0.70 6.15 0,45 1.10 453.3 37.77 1.61 27.10 2.40 4.24 4 T T T T T T T T T T T T T T T T T T T T T T T 5 24.6 2.38 0.15 1.42 O.OS 0.24 107.7 8.37 0.40 B.2l1 0.53 1.67 100.3 6. 95 0.17 12.30 0 .40 1.16 203.7 16.02 0.99 17.37 0.92 1.92 T~Tr. Exci>. Exch. N P C8 Mg K N P C" M.Q K N P CII Mg /( N P Ca lAg K 119.6 11.78 0.40 5.37 0.31 0.(>2 1312,0 113.8 5.0 56. 0 3.0 7.28 1139.42 111 .55 7.71 71.57 5,24 7.64 939:04 96.12 3.26 59.03 4.66 12.69 2 T T T T T T T T T T T T T T T T T T '1' T T T T T 3 11.6 1.1 3 0.04 0.56 0.04 O.OB 56.40 5.920.16 2.B7 0.24 0.55 60.39 5.13 0.17 3.71 3.73 0.2S 41}4.32 37.53 U.68 25.03 1.8~ 2.93 4 T T T T T T T T T T T T T T T T T T T T T T T 5 6:7 0.B9 0.04 0.43 0.03 0.06 79.60 8.36 0.22 4.01 0.39 0.90 74.50 7.15 0.19 4.70 0.32 0.69 868.03 B5.03 2.52 80,62 4.00 5.94 T .c Traces Nutrient loss in eroded sedimenls un Table 11.5. Contour length and nutrient loss in eroded soi I (g/ha ). Fi rst season 1972 Nutrient '2.5m 37.5m kglha 10.0% 79.296 9.3% 13.4% D.C. 342.30 184.10 108.20 143.40 NOJ-N 0.22 0.08 0.04 0.01 Bray-P 0.33 0.12 0.11 0.09 Exch. Ca 50.80 17.00 17.10 14.20 Exch. Mg 6.60 2.20 2.60 2.20 Exch. K 5.00 2.30 1.60 1.50 Table 11.6. Contour length and nutri ent loss in eroded soi I (kg/ha) • Second season 1972 Nutrient 12.5m 37.5m kglha 10.0% 19.2% 9.3% 13.4% O.C. 93.10 116.00 51 .80 55.10 Total N 9.10 12.00 -i.58 4.90 Bray-P 0.10 0.17 0.06 0.05 Exch. Ca 4.94 6.94 2.59 2.91 Exch. Mg 0.32 0.38 0.16 0.14 Exch. K 0.67 0.94 0.36 0.39 Table 11.7 Contour length and nutrient loss in eroded soil (kg/ha). First season 1973 Nutrient 12.5m .'17.5m kgl ha 10.0% 19.2% 9. 3% 13. 4% O.C . 563.4 554.0 516 .00 328.10 Total N 40.69 41.04 45.15 25.36 Bray-P 2.83 1.93 UE 0.92 Exch. Ca 35.30 29.39 28.11 17.88 Exch. Mg 2.72 2.58 1.37 1.65 Exch. K 5.25 5.$ 4.46 2.66 102 Soil erosion problems on an alfisol in Western Nigeria Table 11.8. Contour length and nutrient loss in eroded soi I (kg/ hal. Second season 1973 Nutrient 12.5m 37.5m kglha 10.0% 19.2% 9.3% 13.4% O.C. 128.44 19.27 31.00 45.50 Total N 10.92 l.8S 2.83 4.76 Bray-P 0.49 0.05 0.10 0.07 Exch. Ca 6.33 1.35 17.88 3.63 Exch. Mg 0.44 0.10 0.11 0.17 Exch. K 0.98 0.18 0.20 0.41 r.,le'I.9. EHWlol ,.,,oICh ,. 11 : IQIIO.1Ia, ~ "''''If ...... ",,,,,_I .111 .I;Id!'od 50' 4F,fU'fllOlI l !t74.1 4J1e1l,.fr '.C .. ,oo '''' J . .. C. ., • C. ., C. ., '71 -) .4S. 1.01 '2 .• D, 0." _0.1 1.111 10.1 ... ... U .l '.5O II ' 0 64. •• 0 7." ' le.! V lO ,, ~ 13.5 11.~ >.0 ' 0.1,0. . C.,. ' .DO 12.3 (l ,1 8 0 ." ..., (o, Ul ,.r 1), 1; 0 ... l . IS U I 11.6 M' .... . 60 C. !. I 000 0.002 .. 0 .03 3.002 ,. e." 0. 11 0 ." (' .015 v 0.0' 0.10 0 .'9 1).0' .., ') .02 O. lD 1.06 0.00 • , , I ,. ,n' .10 C .41 ~ .. 10 fIo.l, lI aO' r T.-blll' 1 1, 10, (f'er:: 1 of .. ",Ie'" ,, (e- iIOft"., Dill "",ri_, ClU I .~ i. MOHd 10 '\ l SKand 5NlOOI 1fT': ,. SO .. ,0& ... ",,,kllt,re " C. .. N C. C. " e, " 11.4 0.'" ,.., .. , 0. Z2 n .' I. " ". ... .. 1.2 1 l2.D 0.07 n .D .. " 0 .. .... 0 .2. 10 .6 'O.."ll 2.18 1:2.' 1.11 .... I .CO 2.1' 11 .' ,. . l .' ..., 0.12 I.' " I> !.' D." .U ..3 0 ,.. . 2'!!.7 1.31 C. l ..... IJ.U 0.10 0.007 ),eO ....... 0 .19 1.67 O.TO 10,0 0." 0." '.2 0." HI .. ., 0.'" r '.' 0." T T T r T 1.2 {'I,O' 0. 1 ..• .., Ng..1 1 1 ~p r , T r Losses of varicus plant nutrients in eroded soil as aHectcd by slope steepness and mulch late are shown in Tables 11.9 and 11.10. During the first season, N tosses ranged from 27 to 126 kgjha from th e unmulched plots, from 2 to 12 kg/ha from the pINS mulched at the rate of 2 t/ha . The maximum loss of available P was only 3.5 kgjha. During one season , the maximum loss of exchangeable K was 12 kg/ ha; that of Ca,8.4 kg/ha ; and that of Mg 11, kg;ba. Nutrient losses during the second season were lower than those during the first, but the trends in relation to mulch rates and slope steepness were the Same. Nutrient loss in eroded sediments 103 _0 ",",_ ~ t '_/N -- ...../ f. ~, ......' h:I 1• , 000 , • ~ 10 II It J' 14 I ' Fi g. 11.4 Effect of mulch rates on total loss of organic carbon in the eroded sediments in the second season, 1974. 'E COfoID 'USON , lin. 0 ... .t I ..../ Ita • -I. ­"'" /// I"" / ,/ / ! , t / • / / .! 10 / / / / Fig. 11.5 Effect of mulch rates on total loss of organic carbon in the eroded sediments in the second season, 1974. 104 Soi I erosion problems on an alfisol in Western Nigeria Table 11.11 Effect of contour length on nutrient loss (kglfla) in eroded soil: (First season 1974) Nutrient 12.5m /OIUJ 37.5 m lanOg kglha 10. C!J6 79.2% 9.3% 13.4% 0 Organic C. 1314.6 761.0 1314.S 1352.8 N 145.4 84.1 129.2 135.3 P 1.2 0.8 2.2 1.2 K 24.7 g.7 15.2 13.2 r.a 95.7 55.9 98.1 93.2 Mg 12.1 9.6 11.5 14.7 Table 11.12. Effect of contour length on nutrient loss (kgli1a) in eroded soil: (Second season 1974) Nutrient '2.5m long 37.5m long kglha 10.0% 19.296 9.3% 13.4% Organic C. 613.7 440.7 796.4 679.2 N 56.B 48.7 96.5 68.7 p 0.38 0.10 0.91 0.35 K 3.4 2.3 4.7 3.4 Ca 34.7 24.2 51.7 42.2 Mg 4.0 3.7 5.7 5.3 Contour Length and Nutrient Loss: The effects of contouI length and slope steepness on nutrient losses in eroded soil are shown in Tables 11.11 and 11.12. The trends innuUient losses are similar to the uends in soil losses presented in Chapter 6. Maximum nutrient losses during one season were 145 kg/ha of N. 2.2 kg! ha of p. 25 kg/ba of K. about 100 kg/ha of Ca and lSkg/ha of Mg. Nutrient loss in eroded sediments IDS REFERENCES 1. Ensminger, L. E. (1952). Loss of Phophates by erosion. Soil Sci. Soc. Amer. Proe. l6~ 338-342. 2. Ensminger,L. E. and J. T. Cope (1947). Effect of soil reaction on the efficien\.y of various phosphates for cotton and on to 58 of P by erosion. ]. Amer. Soc. Agron. 39: 1-11. 3. Gupta, R. N. and N. Singh (1967). Selectivity of erosion pro­ cesses with respect to soil phosphorus in the alluvial tracts of U. P. J. Indian Soc. Soil Sci. 15: 261-268. 4. Kowal,J. (1972). The hydrology of a small catchment basin at Samaru, 'Jigeria. IV. Assessment of soil erosion under varied land management and vegetation cover. Nigeria Agric. J. 7: 134-147. 5. Massey, H. F.,M. L.Jackson and O. E. Hays (1953). Fertility erosion on two Wi sconsin Soils. Agron. J. 45: 543-547. 6. Osborn, W. M• • and O. R. Mathews, 1955. Crop rotation, tillage and fertility experiments at Lawton field station 1917-49. r. S. D. A. Cor. 951 : 58. 7. Rogers, H. T. (1944). Plant nutrient losses from a com, wheat. clover rotation on Dunmore Silt loam, Soil Sci. Soc. Amer. Proc. 6: 263-271. B. Scarseth, G. D.,and W. V. Chandler (1938) Losses of phos­ phate, from a light te.·dured soil in Alabama and its rela­ tion to some aspects of soil conservation. Agron. S. 30: 361-375. 9. Thomas. A. W., R. L. Carter and ]. R. Carreker (1968). Soil, water and nutrient losses from Tifton Loamy Sand. Trans. ASAE 11: 677-679. lO. Volk, G. W. (1945). Response to residual phosphorus of cotton in continuous culture. Agron. S. 35: 330-340. • 12 Hogers (1944) reported that lhe eroded material from com land was richer in nitrogen and phosphorus than the original soil. The enrichment ratio, the ratio of plant nutrients in eroded soil to those left behind in the soil, has been discussed by various workers (Fippin, 1945; Massey and Jackson, 1952; Barrows and Kilmer, 1963). Barrow and Kilmer re~ ported that soil P is primarily lost through eroded sediments. Information on the phYSical properties of eroded sediments in relation to the parent soil and the changes in soil physical properties as a result of erosion for tropical soils is lather scarce. (Jones and Wild , 1975). A. Soil Physical Properties (a) Ter/ure. The textures of the surface samples of the soil at the beginning of these studies in February 1972 and in February 1974, and of soil samples eroded wring the first season o( 1973 are shown in Figure 12.1. Although the texture of the plots of treatments 2 and 4 did not change, there were significant changes in the particle size distribu~ tion among the treatments 1, 3 and 5 between 1972 and 1974. The most dramati c changes in soil texture were in the bare~(a\low plots , where there was a marked increase in gravel content during the two years. The gravel concentration in the eroded sediments was only slightly affected by degree of soil slope (Figure 12.2). Sand content, however, increased with increase in slope. The sand content of the eroded sample increased from 33% on the l~percent slope to 66% on the IS-percent slopeo The most erodible particles on the 5, 10 and IS-percent slopes were sando The silt and clay contents of the eroded soil decreased with increase °in slope. The silt conlent decreased from 25% to 9% and the clay content from 27% to 12% as (he slope increased from 1 to 15 percent. The change in particle size distribution of the eroOded soil with change in slope may be due to the increased velocity of runoff water at steeper slopes and thus its increased capacity to transport coarse particles. The erosion ratio indicates that silt~plu~clay content of the eroded soil was generally higher than that of the field soil. The erosion ratio was significantly lower for 10 and IS-percent slope plots than for the 1 and 108 Soil erosion problems on an alfisol in Western Nigen"a 2 3 ~ Fig. 12.1 Changes in the textural conposition of surface soil from 1972- 1974 as compared to that of the eroded sediments. S-percent slope plots (Table 12.1). The crop rotation did not signifi~ cantly affect the erosion ratio, altbough the values were low {or bare­ fallow plots. (b) Soil Mo isture Characteristics. Soil moisture retention character­ istics of the eroded and field soil for different treatments are shown in Figure 12. 3. The eroded soil had a higher moisture retention capacity at all suction ranges than the field soil and this can be attributed to the higher silt, day and organic matter contents of the eroded soil. The moisture retention capacity of eroded soil from l~, >-, 10- and IS-percent slope maiz.e-maize (conventionally plowed) plots respectively were 0.41, 0 .50,0.45 and 0.55 gg-l at 0.1 bar suction compared to 0 .25,0.24 , 0.25 and 0.25 gg-I for the field soil. A similar trend in moisture content is obvious for other suctions as well. The eroded soil from the bare~fallow plots had a lower moisture retention capacity than the eroded soil from the maize~maize or cowpea-maize plots. The data on soil moj sture equi valent follow the same nend (Table 12.2). The mean. soil moisture equi valent of the eroded soil was 31.1 % compared to 16.2% for the field snil. The mean soil moisture equivalents of the eroded soil (rom the bare-fallow plots (J8.3%) were lower than those of the eroded soil {rom the mai2;e-tnaize (26.0%) or the cowpea­ maize (24.9%) plots. Properties of the eroded 'sediments in relation to the original soil 109 70 32 28 2 4 16 SIOpe% Fig. 12.2 Influence of soil slope on concentration of gravels, sand, silt and clay in the eroded sediments. Table 12.1. The erosion ratio as affected by slope and soi I management treatments. Treatment Slope % Mean 1 4.62 1.34 1.03 1.23 2.06 3 3.44 2.38 1.02 2.74 2.40 5 3.14 2.73 1.69 1.61 2.29 Mean 3.73 2.15 1.25 1.86 Erosion Ratio = silt + clay of eroded sedimentsl (silt + clay of field soil) gravel + sand gravel + sand 110 Soil erosion problems on an alfisol in Western Nigeria It 10% Ie% 1% ~ e% ............ MabIt ~ Malz.t 1 Er""-cl 5<111 \\ I-I Co.pea-M <>---<> aa.. folloW r 1 I i\ 1 l ~ - 10". Slope 15'1'. Slope w ~ 1-6 I- -'ields of maize and cowpeas for two ."c '- 9 I- G ..,8 G "II >= 7 .E E (!) 6 '" .! 5 2! '" 4 2. 0 ~ . >­ .,·6 <> ~ ~5 <:> ·3 :L~ o I 2. -C~!'---':"4---'::5!1 ,-----'6,.---±~-.J,.8- -:9~-!:1'o::--+';1- -:1f;::12~13!;--+i4;--~I~'-"'1\::-6 --!:1'7~18 Oepth of ~) ,emo.ed (em) Fig. 13.5 The influence of artificial soil removal on yield response of maize (Zea mays L.l and cowpeas (Vigna Unguiculata). consecutive· seasons with di fferent depths of soil removed are shown in Figure 13.5. Relative maize yields were 77, 62, 51, 47 and 44% of the yield on the control plots when 2.5, 5.0, 7.5, 10.0 and 12.5 em, respec' 124 Soil erosion prob/ ems on an al/isol in Western Nigeri a tively, of soil were removed. Removing 2.,5 em of surface soil has a greater detrimental effect on maize yield than on cowpea yield. Weekly measurements of soil moisture content on these plots showed that the control plots had higher moisture contents than the others. There were no significant di.fferences in soil moisture content among the plots when different depths of soil were removed. Bulk densities measurement of the surface soil after removal showed that exposed subsoi'l became compacted within a short period. Measure~ mcnts made four weeks after planting showed bulk densities ranging from 1. 28 in plots from which no surface soil was removed to L.43 in plots from which 5.0 cm of surface soil was removed to 1.45 in plots from which 7.5 em of surface was removed to 1.43 in plots from which ID.O cm of ~lJrface soil was removed and to 1.45 in plots from which 12.5 em of surface soil was removed. The root growth of maize and cowpeas was Table 13.2. Effect of depth of soil removed on root development De~rh Maize Co"'~e,,s of soil Root Average Max. lIneral Dry Root Average Max. Lateral Dry removed number length depth spread wei{/lf number length depth spread weight (em I (em) l eml (em ) gJ pfarIC (em) len, ) (em) g/ plilnt 0 51 21, 4 25 55 5,07 IS 10.7 27 29 026 2.5 24 19 ,8 18 40 1 .24 10 7.4 17 10 0 ,1 1 5.0 24 15.3 13 50 1.03 10 9.1 25 12 0 ,1 1 7.5 20 18 ,1 14 40 0.7 1 9 8.2 30 11 0 .11 10.0 22 13.2 14 35 0.42 8 8.1 24 12 0.05 12.5 21 15.0 11 35 0.67 9 6.7 12 7 0.05 significantly affected by soil removal (Table 13.2). Root weight per plant was drastically reduced by soil removal. The root weights of maize were 24, 20, 14, 8 and 13% of those in the control plots when 2.5, S.O, 7. 5,10.0 and 12. ') em, respectively, of soil were removed. Similar weights of cowpras were 42, 42, 42, 23 and 19% of those in the control plots . CONCLUSIONS Soil erosion results not only in th e phy sical removal of surface soil , but also in losses of organic matter and nitrogen. In addition to nutrient losses, the moi sture retention characteri sti cs, infiltration rate are also significantly affected. The yield depression that results can be a uri buted to degradation of the physical properties of the soil and losses of organic matter and soil nitrogt.i1. Physical characteristics of the subsoil may oominate the crop response on eroded lands and addition of fertilizer may not compensate for removal of surface soil by erosion. Changes in soil physical characteristic and crop yield as a result of erosion 125 REFERENCES I. Doshchanov ,M. B. , and Muratova,G.G. ,1953. The effect of the erosion of upland soils on the yield of agricultural crops. Pochvove~ denie N. 8: 75-S1. 2. Ensminger,L.E.,1952. Loss of phosphates by erosion. Soil Sci. Soc. Amer. Proe. 16 : 338-342. 3. Ensminger,L.E. and Cope,j. T.,1947 . Effect of soil reaction on the efficiency of various phosphates for totton and on loss of P by erosion. J. Amer. Soc. Agron. 39 : I-II. 4. filipovic,D.,I96S. Erosion of arable land in the upper jasenica watershed and its influence on winter wheat yi eld. Arh. Poljopr. Nauk. 21 N. 74: 16-27. 5. Grosse, B., 1967. The productivity of severely eroded Parabraunerde formed from loss under moderate climatic conditions. Trans. 8th lnt. Con gr. Soil Sci. 1964, 2 : 729-735. 6. Gupta R.N.,and Singh. N.,1967. Selectivity of erosion processes wi th respect to soil phosphorus in the allu vial tracts of U. P. J. Indian Soc. Soil Sci. 15:261-268. 7. Hegyi, G.,1970. Model experiment on erosion in brown forest soil su bj eel to clay ilIuvialion. Preliminary report. No ven)' termele , s 19 : 71-78. 8. Kowal, J., 1912. The hydrology of a small catchment basin at Samaru, Nigeria. IV. Assessment of soil erosion under varied land man~ agement and vegetation cover. Nigeria Agrie. J. 7 : 134-147 . 9. Massey, H. F.,J ack son , M.L.,and Hays, O.E., 1953. Fertility erosion 011 two Wisconsin Soils . Agroll. j . 45 : 543-547. 10. Osborn, W. M. ,and Malhews,O. R. ,1955. ClOP rotation, tillage and fertility experiments at Lawton field station 1917-49. U.S.D.A . Cire. 951: 58 11. Pasev,P.,Dundakov,P.,and Dekov,L.,l968 . The effect of some soil relief conditions and slopes on the growth 0 f vin es and the quali ty of grapes and wine. Grad. 10~aI. Nauka 5, No.6: 63-70. · 126 Soil erosion problems on an alfisol in Western Nigtri4 12. Rogers,H. T.,1944. Plant nutrient losses from a com, wheat, clover rotation on Dunmore silt loam. Soil Sci. Soc. Amer. Proe.6 : 263-271. 13. SC3rseth,G.D. ,and Chandler,W.V.,1938. Losses of pho sphate from a light-textured soil in Alabama and its relation to some aspects of soil conservation. Agron. J. 30: 361- 375. 14. Thomas, A. W. ,Carter,R.L.,and Carreker,].R., 1968. Soil , water and nutrient losses from Tifton loamy sand. Trans. Amer. Soc. Agr. Eng. 11 :617-679. IS. Tikhonov,A.V.,I960. Soil erosion and its effect on yield in regions of the Volga hills . PochvQvedenie N. 2: 80-86. 16 . Trashliev,Kh.,and Milchev,M. ,1963. Effect of surface erosion on soil properties and on yield of some agricultural crops. lzv. lnst. Pochvoznan . Agrotexh. Push'karov. 8 : 213-222. 17. Volk, G. W:, 1945. Response to residual phosphoru s of cottOIl in continuous culture. Agron. J. 35 : 330-340. APPENDIX la Run-off and soil loss records for individual rain storms during 1972 Run-off I mm) losses unn",r slopes and soil management trea tm en ts. Rainfall Intensity mmlhr 1% 5% 10% 15% Date mm Max . Mea" 2 3 4 5 2 3 4 5 2 3 4 5 2 3 4 6 2/ 3177 50.8 14.6 0.0 4.9 4.2 4.5 1.6 1.6 25.5 3.7 18.33.7 0.0 14.0 16.45.7 3.7 0.4 4.7 3.7 3.7 16/ 3/ 72 !',J 0.1 . 0.0 0.1 n.l 0.1 0.1 0.1 0.2 n.1 0.1 0.1 1).2 0.1 0.1 0.1 0.2 0.1 f).1 0.2 0.2 5/ 4172 12.7 0.5 0.0 0.3 0.2 0.1 0.0 0.2 O}I 0.2 1.1 0.5 0.5 0.6 0,,4 0_5 0.6 0.3 0.6 0.6 0.6 714/ 72 14.0 0.1 0.0 0,1 0.2 G.£ C.2 0.2 0.4 1.6 0.4 C.2 G.3 0.4 \).3 0.3 0.5 0.3 0.5 0.5 0.6 14/4/ 72 23.5 0.6 0.0 0.3 0.4 0.3 0.5 0.4 0.6 0.3 0.13 0.4 0.5 0.6 0.6 0.5 0.5 0.4 0.5 0.6 0.4 20/4/72 13.3 0.9· 0.0 0.9 0.5 0.4 0.8 0.4 2.1 4.0 1.4 0.7 0.7 1.u 1.4 0.8 0.8 0.5 0.8 t.2 1.3 23/4172 22.2 0.4 0.0 0.8 0.2 0.1 0.5 0.0 1.5 2.6 0.9 0.3 0.2 0.3 0.9 0.2 0.2 0.1 0.2 0.7 0,5 30 / 4/ 72 10.8 81.28 14.22 0.5 0.0 0.3 0.3 0.1 1.4 0.1 1.8 2.0 1.8 0.5 0.2 0.5 0.4 0.4 0.3 0.2 0.3 0.4 0,5 415172 20:0 60.96 23.11 0.8 0.0 0.3 0.2 0.1 0.6 0.2 1.8 2.1 3.6 0.6 0.5 0.6 0.7 0.7 0.3 0.3 0.6 0.7 1.3 8/ 5172 13.3 36.58 7.62 0.6 0.0 0.5 0.3 0.2 0.2 0.2 1.8 O.H 1.7 O.B 0.3 0.6 0.7 0.6 0.5 0.3 0.5 0.6 O.~ " / 5172 12.7 30,4S 10.92 O.S (l.a 0.5 0.' OJ 0_7 0-.1 1.3 1.1 2.2 0.3 0.2 0.3 0.4 0.3 0.4 0.2 0.3 0.4 0.7 14/5/72 13.3 50.80 16.00 0.8. 0.0 0.5 0.2 0.1 3.1 0.1 2.0 1.3 2.3 2.0 0.3 0.6 1.2 0.6 1.2 0.2 0.3 1.2 1.2 27/ 5/72 5.1 36.57 6.86 0.3 0.0 0.2 0.1 0.1 0.2 0.1 0.3 0.2 0.2 0.3 0.2 0.3 0.3 0_3 0.3 n.3 0.3 0.3 0.3 28/ 5172 61.0 124.24 33.73 54.5 0.0 3.7 1.4 0.7 42.0 0.6 25.6 12.5 7.3 56.5 1.6 2.8 11.7 2.3 25.6 1.1 2.4 10.5 2.7 29 / 5172 6.4 40.64 8.38 2.4 0.3 0.5 0.2 0.6 3.0 0.1 1.1 0.6 0.6 3.4 0.1 0.4 1.1 0.4 1.9 0.1 0.5 0.7 0.3 31 / 5/ 72 10.8 50.80 13.46 2.9 0.0 0.6 0.1 0.1 3.6 0.1 2.1 1.0 0.6 1.8 0.2 0.3 0.6 0.3 0.6 0.2 0.1 0.5 0.3 1/ 6172 47.0 101.60 51.30 11.3 0.1 8_3 2Ji 0.5 23.5 0.9 25.9 33.0 5.8 33.0 1.0 21.11 26.3 5.1 40·7 1.0 23.3 27.'il 3.2 2/ 6172 5.1 30.48 6.86 0.2 0.0 0.1 0_0 0.1 0.10.0 0.20.1 0.1 1.l 0.1 0.2 0.60.2 0.60.00.40.7 0.2 4/6172 9.5 50.80 12.70 1.2 0.0 0.6 0.2 0.2 0.2 0.0 3.7 1.B 0.5 2.6 0.2 0.6 1.9 n.3 1.2 0.3 0.8 1.7 0.3 7/6172 9.4 30.48 11.94 1.7 0.0 0.3 0.1 0.1 3.1 0.2 0.7 0.6 0.3 1.8 0.2 0.3 0.7 0.3 0.9 0.1 0.2 0.6 0.3 9 / 6172 10.8 66.04 11.94 3. . 7 0.0 0.5 0.2 0.1 6.3 0.1 1.6 0.9 0.3 3.3 0_1 0.5 1.1 0.3 2.1 0.2 0.3 0.9 0.3 13/6172 47.0 71.12 31.24 34.4 0.0 3.7 1.7 0.6 51.2 0.5 24.1 7.1 1.9 39.3 1.1 3.4 8.8 1.426.B 0.9 5.2 14.8 1.3 ~ Run-off (mm) losses under slopes and soil management treatment~. -~ Rainfall Intensity mmlhr T% 5% 10% 1596 Date mm Maj(. Mean 234 5 2 3 4 5 2 3 4 5 2 3 4 5 I II 16/ 6172 11.4 55.88 15.24 0.9 0.0 0.3 0.1 0.1 4.3 0.3 1.4 0.6 0.3 3.0 0.2 0.5 0.8 0.3 0.3 0.4 0.3 1.1 0.3 17 / 6 / 72 105.4 142.24 106.43 54.6 0,0 34.2 6.6 1.8 54.6 7.02 31.3 31.4 34.1 54.6 4.1 34 .3 34.2 5.6 54.6 4.0 34.335.5 7.3 20/ 6/ 72 10.9 30.48 5.84 2.1 0.0 0.5 0.3 0.2 0.3 0.3 0.6 0.5 0.5 3.0 0.2 0.3 0.4 0.3 0.3 0.7 0.1 0.4 0.3 23/6172 6.9 40.64 8.38 3.0 0.0 0.4 0.1 0.1 2.1 0.0 0.6 0.4 0.2 2.7 0.2 0.3 0.4 0.3 1.8 0.1 0.2 0.6 0.4 24/ 6172 34.3 60.00 21.0B 13.6 0.0 2.7 0.7 0.4 20.1 0.4 7.1 2.5 O.B 18.2 0.8 3.0 7.0 0.9 23.5 0.6 3.1 7.0 0.9 2B / 6 / 72 7.6 50.80 8.38 0.6 0.0 0.2 0.0 0.0 1.3 0.0 0.3 0.2 0.1 O.B 0.0 0.3 0.4 0.2 0.7 (),1 D.I 0.6 0.3 :3 / 7172 15.2 91.44 20.32 5.7 0.0 1.0 0.4 0.2 8.3 0.2 1.3 0.7 0.4 7.1 0.5 1.0 1.3 0.5 7.0 0.2 0.6 0.2 0.6 417172 8.3 50.80 11.18 3.1 0.0 0.5 0.1 0.0 3.7 0.1 0.7 0.4 0.2 3.7 0 2 0.6 0.8 0.2 3.6 0.1 0.5 1.2 0.3 1217172 30.5 71.12 35.56 B.O 0.0 1.5 0.5 0.4 21.2 0.3 ;.2 0.8 0.7 11.9 0.7 1.3 1.4 0.7 11.0 0.4 1.0 2.2 0.9 1717172 8.9 30.48 10.92 0.6 0.0 0.2 0.1 0.1 2.2 O. i 0.3 0.3 0.2 0.9 0.2 D.2 0.1 0.1 1.0 OJ 0.2 0.3 0.3 7/ 9172 12.7 52.83 14.99 1.7 0.0 0.3 0.2 0.1 3.0 0.3 1.4 0.5 0.9 0.9 0.9 0.5 0.9 0.4 1.4 0.4 0.5 0.4 D.6 8/ 9/ 72 11.4 40.64 8.38 0.4 0.0 0.0 0.1 0.1 0.5 0.1 0.3 0.2 0.4 0 ,_-6 0.2 0.4 0.3 0.3 0.4 0.3 0.3 0.3 O .~ 1619172 12.5 50.80 17 .02 0.7 0.0 0.2 0.2 0.1 0.9 0.2 0.4 0.3 0.2 1.2 0.4 0.6 0.4 0.6 0.5 0.3 1.1 0.9 0.7 19 / 9/ 72 31.8 42.18 B.3 0.0 0.7 0.4 0.2 9.6 0.2 4.5 0.6 6.1 5.0 0.6 0.9 0.6 0.9 1.7 0.5 1.1 0.9 3.2 21 /9172 30.5 101.60 22.86 9.6 0.0 2.0 0.3 3.7 13.6 0.2 5.0 0.6 12.3 4.7 0.6 4.4 0.8 2.7 11.0 0.5 4.6 0.9 8.5 25/ 9/ 72 13.3 (30.96 15.24 2.7 0.0 0.3 0.2 0.2 3.6 0.1 1.9 0.4 6.4 3.7 0.5 0.8 0.5 0.6 1.6 0.4 O.B 0.6 1.6 26 /9/ 72 10.9 25.4 5.08 1.4 0.0 0.1 0.1 0.1 3.6 0.1 0.6 0.3 0.3 3.4 0.2 0.5 0.3 0.3 1.6 0.0 0.4 fl.2 1.0 3/10172 12.7 30.48 8.38 0.4 0.0 0.4 0.1 0.1 0.9 0.1 0.4 0.4 0.4 0.8 0.3 0.5 0.4 0.4 0.5 0.3 0.4 0.5 O.S 7/10172 15.8 91.44 20.32 3.7 0.0 0.2 D.4 0.4 0.4 0.4 0.4 0.4 0.4 3.7 0.3 0.5 0.5 0.4 3.4 0.2 0.4 0.5 0.5 18/ 10/ 72 B.6 50.30 10.16 1.2 0.0 0.3 0.2 0.1 2.9 0.2 0.3 0.3 0.3 3.6 0.2 0.5 0.5 0.4 3.4 0.3 0.4 fl.5 0.5 Soi l loss (ton/ ha under d ifferent slup'" end soi l n1anagement treatments R{} infall Intensity mm! lI r !% 5% TfJ}6 15% Date mm Max., Mean 2 3 -1 5 2 3 4 5 2 :1 4 5 ? 3 4 5 2/ 3/77. 50.8 C.OO 0.00 0.05 0.05 0.G7 0.19 0.000.20 0.19 0.13 0.630.00 0.83 0.50 1.12 0.80 0.801.00 0.64 1. :16 16/ 3/72 5.1 0.01 0.00 0.01 0.01 0.02 0.01 0.00 0.02 0.02 0.01 0.01 0.00 0.03 0.03 0.03 0.01 0.000.01 0.01 0.01 5/ 4/ 72 12.7 0.06 0.00 0.04 0.02 0.02 0.08 0.000.08 0.05 0.13 0.11 0.00 0.13 0.11 0.12 0.06 0.00 0.05 0.07 0.05 7/ 4/ 72 14.0 0.00 0.00 0.00 0.',)0 0.00 0.00 0 .00 0 .00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 o.no 0.00 0.00 0.00 14(4(72 ZJ.5 G.(\(l (l.00 0.00 O.O(l 0.00 0.00 O.G\) a.oll 1l.00 0.00 0.000.00 0.00 0.00 0.00 0.00 0.000.00 0.00 0.00 20 / 4/ 72 13.3 0.06 0.00 0.05 0.02 0.05 0.11 0.040.12 0.16 0.07 0.08 0.03 0.14 0.19 0.09 0.09 0.06 0.14 0.11 0.15 23/ 4172 22.2 O.G2 0.00 0.17 0.00 0.00 0.01 0.000.03 0.02 0.03 0.040.00 0.D2 0,00 0.01 0.03 0.00 0.Q1 0.06 0.04 30 / 4172 10.8 81.28 14.22 0.04 0.00 0.02 0.02 0.D1 0.01 O.QO 0.13 0.09 0.Q8 0.060.00 0.03 0.07 0.03 0.03 0.000.04 0.05 O.OB 4/ 5/ 72 20.0 50.80 23.11 0.06 0.00 0.05 0.03 0.02 0.09 0.040.20 0.13 0.26 0.060.00 0.12 0.15 0.09 0.04 0.00 0,05 0.04 0.12 815/72 ~3.3 38.58 7.62 0.04 0.00 0.03 0.00 0.00 0.00 0.000.06 0.06 0.10 0.020.00 0.03 0.04 0.00 0.04 0.060.05 0.00 0.12 11 / 5/ 72 12.7 30.48 8.38 0.03 0.00 0.01 0.02 0.00 0.02 0.00 0.03 0.04 0.10 0.02 0.00 0.00 0.00 0.02 0.00 0.00 0.00 0.00 0.01 14/6/ 72 13.3 40.64 15.74 0.04 0.00 0.10 0.00 0.00 0.22 0.00 0.06 0.02 0.05 0.160.00 0.00 0.14 0.02 0.11 0.00 0.00 0.09 G.TO 27/ 5172 36.57 19.30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 28/ 5/ 72 61.0 91.44 33.02 0.57 0.00 0.03 0.04 0.00 1.52 0.000.33 0.03 O.OS 1.670.00 0.07 0.50 0.00 0.01 0.000.50 0.40 0.00 29 / 5172 10.80 50.80 12.95 0.03 0.00 0.00 0.00 0.00 0.11 0.00 0.02 0.00 0.01 0.12 0.00 0.00 0.03 0.01 1.73 0.00 0.D2 0.02 0.00 31 / 5172 10.8 50.80 12.95 O.M 0.00 0.00 0.00 0.00 0.16 0.000.03 0.00 0.00 0.120.00 0.00 0.00 0.00 0.18 0.00 0.01 0.00 0.00 116172 47.0 101.60 51.30 0.39 60 0.191 0.194 0.~1 0.193 0.201 0.220 0.197 0.216 0.225 0.208 0.23J 7 90 0.269 0.274 0.272 0.270 0.272 0.278 0.270 0.284 0.287 0.280 0.289 120 0.307 0.319 0.3J8 0.3)9 0.318 0.321 0.318 0.328 0.324 0.321 0.336 30 0.172 0.178 0.204 0.198 0.204 0.202 0.196 0.195 0.219 0.206 0.218 8 60 0.236 0.246 0.262 0.249 0.262 0.262 0.255 0.261 0.280 0.267 0.270 90 0.302 0.259 0.275 0.275 0.275 0.269 0.263 0.263 0.280 0.271 0.282 120 0.302 0.293 0.306 0.299 0.305 0.302 0.296 0.295 0.308 0.304 0.310 PI N Depth in Moisture Content (g) ot O. em 9/7/73 16/7/73 2317173 30/7/73 7/8/73 1318/73 20/8/73 27/8/73 3/9/73 10/9/73 26/9/73 30 0.160 0.162 0.195 0.180 0.195 0.185 0.175 0.178 0.204 0.187 0.209 60 0.207 0.203 0.218 0.206 0.218 0.220 0.212 0.218 0.231 0.219 9 0.234 90 0.278 0.277 0.284 0.274 0.284 0.284 0.277 0.281 0.294 0.284 0.302 120 0.317 0.295 0.320 0.312 0.320 0.323 0.324 0.322 0.322 0.321 0.332 -- "_ .. _-- 30 0.165 0.160 0.173 0.160 0.173 0.175 0.168 0.182 0.214 0.192 0.208 60 0.213 0.210 0.190 0.211 0.199 0.218 0.202 0.220 0.231 0.226 0.235 10 90 0.227 0.223 0.223 0.220 0.223 0.232 0.218 0.225 0.232 0.236 0.240 720 0.256 0.264 0.251 0.255 0.251 0.275 0.264 0.269 0.274 0.278 0.280 30 0.080 0.081 0.066 0.087 0.066 0.088 0.083 0.100 0.124 0.107 0.127 60 0.205 0.206 0.202 0.219 0.202 0.208 0.212 0.221 0.230 0.221 0.239 11 90 0.244 0.2':f1 0.239 0.248 0.239 0.238 0.224 0.248 0.246 0.245 0.250 120 0.244 0.241 0.240 0.256 0.240 0.250 0.245 0.250 0.254 0.253 0.258 30 0.090 0.104 0.082 0.123 0.082 0.122 0.128 0.127 0.149 0.133 0.159 60 0.210 0.210 0.194 0.209 0.194 0.217 0.211 0.213 0.223 0.216 12 0.227 90 0.228 0.225 0.212 0.216 0.212 0.224 0.225 0.217 0.225 0.225 0.229 120 0.244 0.242 0.236 0.237 0.236 0.253 0.250 0.244 0.258 0.251 0.262 30 0.081 0.078 0.058 0.091 0.102 0.091 0.094 0.096 0.116 0.102 0.120 60 0.201 O.~ 0.191 0.210 0.212 0.217 0.211 0.214 0.221 0.221 0.237 13 ~ -~ Moi sture Conte nt (9) Plot No. D~h in 9/7/73 16/7173 23/7/73 30/7/73 7/8/73 13/8/73 20/8/73 27/8/73 3/9/73 10/9/73 26/9173 90 0.226 0.221 0.221 0.229 0.223 0.223 0.227 0.227 0.230 0.229 0.255 720 0.249 0.249 0.238 0.252 0.247 0.257 0.249 0.247 0.251 0.252 0.264 30 0.088 0.077 0.038 0.080 0.106 0.073 0.065 0.080 0.105 0.086 0.115 '10 0.195 0.192 0.175 0.186 0.199 0.202 0.191 0.201 0.199 0.188 0.211 14 90 0.219 0.217 0.209 0.217 0.225 0.219 0.216 0.221 0.212 0.217 0.234 120 0.221 0.221 0.214 0.221 0.239 0.224 0.222 0.223 0.247 0.223 0.236 30 0.040 0.057 0.033 0.059 0.081 0.073 0.067 0.073 0.093 0.075 0.097 15 60 0.139 0.154 0.132 0.151 0.162 0.158 0.149 0.155 0.165 0.163 0.175 90 0.209 0.226 0.206 0.215 0.221 0.223 0.213 0.162 0.215 0.218 0.231 120 0.229 0.251 0.230 0.234 0.268 0.243 0.232 0.231 0.227 0.236 0.247 30 0.056 0.061 0.046 0.073 0.088 0.081 0.075 0.078 0.103 0.086 0.101 60 0.096 0.100 0.094 0.10B 0.126 0.119 0.113 0.114 0.132 0.116 0.133 16 90 0.151 0.158 0.156 0.165 0.183 0.169 0.171' 0.169 0.175 0.171 0.191 720 0.226 0.231 0.234 0.240 0.277 0.250 0.247 0.248 0.250 0.247 0.263 -----_ ... _---- 30 0.068 0.070 0.058 0.093 0.103 0.081 0.087 0.096 0.122 0.103 0.124 60 0.145 0.140 0.128 0.149 0.158 0.154 0.147 0.157 17 0.165 0.156 0.164 90 0.186 0.179 0.177 0.191 0.192 0.189 0.189 0.193 0.193 0.191 0.213 120 0.221 0.214 0.219 0.2~6 0.231 0.226 0.225 0.232 0.231 0.235 0.246 ----..- ---- -_.. _---_.- Moisture Content (g) Plot No. D~h in 917173 1617173 2317/73 30/7173 7/8/73 13/8/73 20/8/73 27/8173 319/73 10/9173 26/9/73 30 0.034 0.032 0.027 0.041 0.064 0.053 0.053 0.055 0.069 0.060 0.062 18 60 0.044 0.0"45 0.042 0.043 0.063 0.062 0.058 0.062 0.068 0.063 0.059 90 0.054 0.088 0.088 0.089 0.102 0.103 0.101 0.101 0.103 0.106 0.110 120 0.089 0.117 0.118 0.118 0.127 0.124 0.124 0.128 0.124 0.128 0.128 - - ...~ . 30 0.064 0.067 0.057 0.074 0.076 0.072 0.071 0.073 0.086 0.078 0.084 60 0.088 0.087 0.084 0.102 0.099 0.096 0.093 0.096 0.102 O. 98 0.104 19 90 0.119 0.123 0.121 0.126 0.125 0.122 0.123 0.121 0.120 0.126 0.129 720 0.132 0.131 0.134 0.138 0.134 0.132 0.134 0.129 0.128 0.135 0.138 30 0.042 0.045 0.036 0.050 0.061 0.049 0.047 0.051 0.064 0.056 0.068 20 60 0.069 0.072 0.061 0.075 0.075 0.077 0.073 0.074 0.084 0.079 0.091 90 0.129 0.130 0.126 0.133 0.130 0.132 0.129 0.129 0.134 0.132 0.140 120 0.137 0.139 0.137 0.141 0.136 0.139 0.136 0.136 0.140 0.139 0.145 ------ - _._ ... 30 0.048 0.045 0.036 0.036 0.064 0.058 0.052 0.050 0.065 0.058 0.068 60 0.089 0.089 0.080 0.094 0.098 0.093 0.093 0.095 0.101 0.099 0.101 21 90 0.125 0.124 0.121 0.126 0.126 0.125 0.126 0.126 0.133 0.131 0.135 720 0.1'34 0.134 0.131 0.134 0.136 0.131 0.137 0.137 0.140 0.138 0.140 5 I-' ~ PI N Depth in Moi sture Content (g) ot o. em 9/7/73 16/7/73 23/7/73 30/7/73 7/8/73 13/B/73 20/8/73 27/8/73 3/9173 10/9173 26/9173 30 0.092 0.093 0.079 0.096 0.102 0.099 0.091 0.097 0.106 0.100 0. 104 60 0.111 0.113 0.108 0.116 0.117 0.117 0.115 0.115 0.118 0.115 0.113 22 90 0.121 0.120 0.117 0.127 0.126 0.126 0.123 0.126 0.126 0.125 0.130 120 0.1 33 0.133 0.129 0.1'36 0.134 0.137 0.133 0.135 0.134 0.134 0.139 30 0.046 0.044 0.039 0.052 0.083 0.075 0.075 0.077 0.090 0.083 0.084 23 60 0.088 0.088 0.090 0.090 0.113 0.111 0.108 0.109 0.117 0.114 0.111 90 0.118 0.117 0.118 0.118 0.130 0.128 0.130 0.129 0.134 0.132 0.136 120 0.129 0.1 28 0. 130 0.131 0.138 0.140 0.138 0.139 0.142 0.139 0.142 30 0.056 0.057 0.050 0.060 0.068 0.060 0.060 0.063 0.075 0.070 0.077 24 60 0.106 0.107 0.105 0.108 0.107 0.109 0.106 0.108 0.111 0. '10 0.116 90 0.130 0.1 29 0.128 0.130 0.129 0.132 0.128 0.125 0.131 0.131 0.133 120 0.121 0.137 0.139 0.139 0.140 0.139 0.137 0.138 0.141 0.142 0.143 ------ ---. Plot No. Depth in Moisture Content (9) em 3/10/73 8/10173 15/10113 31/10173 1111173 14/11/73 28111173 18/12/73 30 0.185 0.174 0.160 0.194 0.139 0.087 0.062 0.062 1 60 0.217 0.204 0.169 0.231 0.186 0.158 0.156 0.149 9J 0.2 63 0.265 0.25g 0.273 0.264 0.255 0.249 0.240 120 0.293 0.289 0.282 0.427 0.285 0.287 0.277 - 0.257 30 0.186 0.175 0.143 0.197 0.154 0.112 0.088 0.087 2 60 0.142 0.120 0.097 0.123 0.112 0.094 0.088 0.089 9J 0.288 0.273 0.261 0.251 0.249 0.251 0.250 0.246 120 0.299 0.296 0.296 0.2BB 0.287 0.289 0.285 0.280 30 0.176 0.174 0.162 0.189 0.137 0.132 0.110 0.108 60 0.199 0.199 0.184 0.189 0.189 0.184 0.166 0.163 3 9J 0.277 0.278 0.276 0.272 0.271 0.271 0.272 0.258 720 0.344 0.352 0.338 0.367 0.333 0.336 0.331 0.332 30 0.170 0.154 0.133 0.186 0.139 0.128 0.064 0.049 4 60 0.162 0.139 0.120 0.188 0.155 0.157 0.118 0.101 ro 0.258 0.246 0.232 0.261 0.288 0.236 0.234 0.220 720 0.302 0.295 0.280 0.317 0.263 0.275 0.269 0.263 30 0.167 0.125 0.107 0.146 0.105 0.093 0.067 0.077 5 ro 0.159 0.138 0.115 0.123 0.115 0.120 0.117 0.121 ro 0.301 0.282 0.263 0.255 0.249 0.253 0.252 0.257 120 0.338 0.333 0.323 0.327 0.315 0.324 0.315 0.319 ~ 8 Plot No. Depth in Moi sture Content (g) - em 3/10/73 8/10/73 15/10/73 31/10/73 7111/73 14/11/73 28/11/73 18/12/73 30 0.251 0.232 0.236 0.252 0.222 0.198 0.157 0.139 6 60 0.216 0.195 0.186 0.220 0.205 0.195 0.175 0.168 90 0.279 0.270 0.269 0.268 0.274 0.260 0.244 0.249 120 0.330 0.325 0.320 0.300 0.312 0.293 0.276 0.276 30 0.225 0.198 0.172 0.261 0.178 0.150 0.125 0.106 7 60 0.229 0.205 0.180 0.229 0.196 0.180 0.212 0.168 9J 0.292 0.278 0.273 C.280 0.268 0.270 0.388 0.265 120 0.332 0.325 0.323 0.293 0.304 0.311 0.442 0,300 30 0.217 0.211 0.212 0.231 0.198 0.185 0.168 0.167 S 60 0.269 0.258 0_248 0.282 0.263 Q.261 0.254 0.256 90 0.279 0.280 0.274 0.295 0.275 0.274 0.267 0.275 120 0.311 0.317 0.306 0.320 0.309 0.313 0.306 0.306 30 0.205 0.197 0.177 0.236 0.175 0.152 0.118 0.110 9 60 0.223 0.203 0.177 0.236 0.205 0.193 0.182 0.169 9J 0.299 0.291 0.279 0.265 0.274 0 .285 0.275 0.271 120 0.331 0.334 0.325 0.280 0.311 0.324 0.321 0.31 0 30 0.215 0.213 0.209 0.183 0.178 0.166 0.153 0.126 10 60 0.233 0.239 0.230 0.21 0 0.219 0.213 0.201 0.180 90 0.242 0.250 0.238 0.204 0.239 0.239 0.240 0.230 120 0.288 0.292 0.289 0.244 0.283 0.283 0.285 0.276 Plot No. Depth in Moi sture Content (9) an 3/10173 8/10/73 15/10/73 31110173 7/11/73 14/11/73 2B/l1/73 18/12/73 30 0.122 0.114 0.115 0.100 0.103 0.111 0.080 .0.053 11 60 0.231 0.228 0.229 0.189 0.225 0.255 0.216 0.189 90 0.253 0.246 0.250 0.200 0.243 0.281 0.243 0.232 120 0.257 0.258 0,256 0.206 0.253 0.292 0.253 0.240 30 0.150 0.132 0.137 0.167 0.102 0.083 0.075 0.056 60 0.226 0.223 0.219 0.226 0.213 0.204 0.199 '2 0.185 m 0.228 0.230 0.230 0.232 0.231 0.224 0.217 0.204 120 0.261 0.259 0.255 0.258 0.260 0.264 0.249 0.237 30 0.118 0.106. 0.113 0.125 0.1 00 0.072 0.049 0.028 13 60 0.236 0.213 0.21 0 0.225 0.21 5 0.209 0.197 0.170 !XJ 0.252 0.239 0.234 0.239 0.226 0.229 0.221 0.200 120 0.259 0.255 0.255 0.242 0.234 0.237 0.230 0.21 B 30 0.108 0.087 0.081 0.123 0.053 0.039 0.032 0.014 14 60 0.205 0.191 0.179 0.202 0.179 0.172 0.172 0.147 ~ 0.225 0.227 0.220 0.213 0.222 0.203 0.207 0.191 120 0.228 0.227 0.231 0.215 0.230 0.223 0.217 0.203 30 0.092 0.082 0.071 0.099 0.057 0.036 0.023 0.011 15 60 0.179 0.163 0.131 0.177 0.143 0.136 0.135 0.1 02 90 U.230 0.223 0.205 0.220 0.208 0.217 0.211 0.194 120 0.246 0.241 0.232 0.234 0.240 0.249 0.240 0.225 ~.... ~ Plot No. Depth in Moisture Content (9) em 3/10/73 8/10/73 15/10173 31/10/73 7/11173 14/11/73 28/11/73 18/12/73 30 0.096 0.091 0.100 0.111 0.068 0.039 0.017 0.004 16 60 0.120 0.1 02 0.105 0.134 0.121 0.108 0.080 0.053 90 0.184 0.181 0.169 0.185 0.184 0.187 0.176 0.130 120 0.263 0.262 0.247 0.256 0.259 0.261 0.259 0.232 30 0.127 0.120 0.124 0.136 0.106 0.080 0.045 0.018 17 60 0.174 0.152 0.153 0.165 0.161 0.156 0.130 0.104 90 0.221 0.205 0.196 0.203 0.207 0.208 0.194 0.162 120 0.264 0.248 0.245 0.238 0.245 0.246 0.237 0.212 30 0.060 0.056 0.055 0.069 0.021 0.034 0.026 0.026 18 60 0.058 0.056 0.053 0.073 0.337 0.054 0.048 0.043 9J 0.102 0.100 0.102 0.109 0.280 0.1 06 0.1 00 0.094 120 0.124 0.122 0.123 0.124 0.015 0.123 0.122 0.117 - --.- 30 0.087 0.083 0.084 0.090 0.008 0.067 0.051 0.042 19 60 0.1 04 0.092 0.091 0.107 0.113 0.097 0.089 0.071 00 0.130 0.124 0.120 0.133 0.130 0.125 0.126 0.110 120 0.138 0.136 0.131 0.1 'II 0.136 0.131 0.133 0.125 30 0.067 0.059 0.062 O.Q72 0.053 0.037 0.022 0.022 20 60 0.086 0.081 ('I.079 0.091 0.083 0.084 0.038 0.061 EX) 0.139 0.138 0.137 0.138 0.135 0.138 0.132 0.127 120 0.143 0.141 0.139 0.143 0.138 0.140 0.135 0.133 Plot No. Depth in Moisture Contellt (9i em 3/10/73 8/10/73 15/10/73 31/10/73 7/11/73 14/11/73 28/11/73 18/12/73 30 0.068 0.062 0.051 0.072 0.054 0.043 0.033 0.032 21 60 0.100 0.093 0.083 0.102 0.089 0.083 0.082 0.081 90 0.133 0.132 0.126 0.131 0.129 0.130 0.127 0.125 120 0.140 0.141 0,137 0,139 0.137 0.138 0.136 0.136 30 0.096 0.085 0.082 0.102 0.071 0.065 0.059 0.060 22 60 0.105 0.100 0.096 0.103 0.093 0.093 0.093 0.092 ~ 0.126 0.123 0.121 0.116 0.113 0.115 0.116 0.116 120 0.139 0.137 0.137 0.130 0.128 0.129 0.128 0.129 30 0.077 0.069 0.062 0.073 0.052 0.049 0.048 0.049 23 60 0.108 0.105 0.100 0.099 0.093 0.096 0.097 0.097 90 0.135 0.123 0.127 0.124 0.'21 0.123 0.122 0.120 120 0.144 0.136 0.135 0.133 0.130 0.134 0.132 0.132 30 0.073 0.076 0.077 0.080 0.067 0.061 0.052 0.051 24 60 0.119 0.118 0.119 0.119 0.115 0.115 0.111 0.110 00 0.140 0.136 0.135 0.134 0.132 0.133 0.132 0.'31 120 0.144 0.142 0.145 0.142 0.143 0.142 0.141 0.141 ~ APPENDIX 4c Soil moisture records for 1974 ~ .j;>. Plot No. Depth in Moisture Content (g) em 30/4/74 13/5/74 27/5/14 10/6/74 24/6/74 8/7/74 2217174 19/8/74 3/9174 30 0.163 0.144 0.118 0.171 0.155 0.177 0.190 0.144 0.174 60 0. •2 04 1 0.171 0.160 0.196 0.189 0.196 0.205 0.176 0.197 90 0.265 0.255 0.251 0.263 0.263 0.258 0.276 0.255 0.268 120 0.273 0.254 0.250 0.261 0.266 0.267 0.276 0.252 0.265 30 0.178 0.146 0.113 0.155 0.146 0.170 0.175 0.130 0.161 2 60 0.144 0.142 0.127 0.146 0.147 0.148 0.147 0.127 0.166 90 0.272 0.256 0.238 0.248 0.264 0.269 0.263 0.250 0.253 120 0.295 0.285 0.275 0.282 0.289 0.289 0.315 0.273 0.282 30 0.100 0.093 0.066 0.104 0.099 O.lJJ 0.132 0.087 0.129 3 60 0.130 0.147 0.151 0.142 0.151 0.170 0.165 0.155 0.187 ro 0.227 0.230 0.231 0.229 0.226 0.248 0.246 0.235 0.223 120 0.321 0.295 0.291 0.~88 0.290 0.320 0.319 0.298 0.314 30 0.122 0.081 0.051 0.097 0.079 0.094 0.109 0.069 0.100 4 ro 0.174 0.168 0.158 0.197 0.183 0.185 0.195 0.164 0.193 ElJ 0.241 0.233 0.212 0.221 0.227 0.230 0.240 0.216 0.236 120 0.296 0.287 0.278 0.290 0.287 0.291 0.323 0.270 0.292 30 0.162 0.139 0.088 0.160 0.154 0.162 0.169 0.127 0.152 5 6() 0.184 0.185 0.162 0.182 0.195 0.191 0.201 0.167 0.196 ro 0,278 0,272 0.236 0,261 0.285 0.269 0,338 0.249 0.267 120 0.322 0.326 0.350 0.315 0.326 0.313 0.340 0.297 0,312 Plot No. Depth in Moisture Content (9) em 30/4174 13/5174 27/Sn4 10/6174 24/6174 817/14 22/ 7/74 19/B/74 3/9/74 30 0.216 0.189 0.159 0.208 0.191 0.216 0.223 0.171 0.217 6 60 0.211 0.207 0.193 0.215 0.211 0.215 0.226 0.203 0.221 9J 0.258 0.237 0.230 0.231 0.248 0.243 0.245 0.232 0.249 120 0.321 0.316 0.306 0.307 0.319 0.317 0.321 0.283 0.325 30 0.201 0.168 0.147 0.194 0.184 0.190 0.197 0.161 0.186 7 60 0.210 0.089 0.184 0.197 0.207 0.21 1 0.218 0.188 0.205 9J 0.284 0.276 0.276 0.279 0.283 0.285 0.286 0.269 0.281 120 0.325 0.316 0.317 0.316 0.329 0,327 0.332 0,318 0.319 30 0.206 0.182 0.156 0.204 0.198 0.209 0.217 0.189 0.208 8 ro 0.277 0.243 0,252 0.254 0.268 0.268 0.269 0.254 0.258 9J 0.284 0,275 0.278 0.272 0,275 0.277 0.286 0.268 0,279 120 0.325 0.297 0.298 0.290 0.311 0,307 0.314 0.303 0.300 30 0.182 0.158 0.127 0.179 0.175 0.189 0.196 0.153 0.182 9 60 0.221 0.209 0.195 0.211 0.220 0.222 0.228 0.199 0.221 9J 0.293 0.271 0.263 0.263 0.285 0.290 0.285 0.267 0.279 120 0.329 0.320 0.313 0.313 0.332 0.315 0.335 0.311 0.327 30 0.133 0.136 0.110 0.145 0.138 0.166 0.175 0.137 0.171 60 10 0.149 0.176 0.171 0.158 0.186 0.206 0.207 0.185 0.223 9J 0.194 0.238 0.196 0.191 0.194 0.204 0.215 0.213 0.227 120 0.251 0.221 0.227 0.226 0.232 0.244 0.232 0.244 0.253 .. --~.-.--- ~ \.J1 -----~ Plot No. Depth in Moisture Content (9) ~ em 30/4/74 13/5/74 27/5/14 10/ 6/74 24/6/14 817114 22/1/74 19/ 8/74 3/9174 30 0.096 0.073 0.048 0.072 0.069 0.08B 0.093 0.049 0.076 11 00 0.211 0.197 0.187 0.186 0.207 0.213 0.212 0.190 0.202 00 0.252 0.243 0.243 0.245 0.249 0.247 0.251 0.245 0.246 120 0.259 0.233 0.235 0.238 0.246 0.254 0 .251 0.249 0 .247 30 0.123 0.113 0.082 0. 126 0.102 0.126 0.126 0.090 0.121 12 fXJ 0.207 0.207 0.207 0.212 0.210 0.213 0.212 0.160 0.215 ro 0.213 0.219 0.222 0.225 0.223 0.220 0.222 0.227 0.224 120 0.241 0.237 0.241 0.241 0.236 0.242 0.239 0.243 0.241 30 0.088 0.074 0.039 0.087 0.079 0.090 0.102 0.064 0.090 13 60 0.219 0.201 0.194 0.208 0.211 0.212 0.216 0.203 0.217 9J 0.228 0.225 0.219 0.229 0.225 0.227 0.230 0.219 0.227 12() 0.238 0.241 0.242 0.246 0.251 0.251 0.256 0.241 0.250 30 0.090 0.063 0.036 0.071 0.064 0.085 0.081 0.061 0.072 14 60 0.197 0.184 0.177 0.187 0.191 0.199 0.199 0.180 0.186 9J 0.220 0.219 0.214 0.218 0.220 0.223 0.225 0.210 0.213 120 0.226 0.218 0.215 0.217 0.217 0.221 0.223 0.212 0.214 30 0.072 0.052 0.022 0.061 0.053 0.068 0.075 0.041 0.072 15 fI) 0.153 0.130 0.118 0.135 0.139 0.145 0.150 0.126 0.141 ro 0.216 0.208 0.205 0.208 0.215 0 .210 0.211 0.20B 0.215 120 0.237 0.231 0.227 0.232 0.235 0.232 0.234 0.231 0.231 Plot No. Depth in Moisture Content (g) em 30/4114 13/5/74 21/5174 1016/14 24/6174 817174 2217174 1918/74 319174 30 0.079 0.103 0.028 0.075 0.058 0.081 0.088 0.040 0.077 16 60 0.119 0.099 0.086 0.102 0.103 0.114 0.123 0.092 0.111 00 0.147 0.161 0.149 0.153 0.163 0.164 0.171 0.153 0.158 120 0.251 0.244 0.233 0.237 0.244 0.244 0.249 0.236 0.238 30 0.120 0.109 0.075 0.120 0.109 0.124 0.137 0.087 0.129 17 60 0.181 0.176 0.171 0.184 0.179 0.184 0.185 0.171 0.186 ~ 0.208 0.204 0.209 0.207 0.204 0.213 0.209 0.202 0.211 120 0.225 0.228 0.226 0.224 0.227 0.234 0.231 0.221 0.234 30 0.055 0.045 0.024 0.042 0.038 0.050 0.050 0.033 0.047 18 60 0.064 0.055 0.049 0.056 0.058 0.062 0.065 0.055 0.061 00 0.105 0.098 0.095 0.096 0.100 0.102 0.102 0.100 0.101 120 0.125 0.121 0.119 0.119 0.124 0.123 0.121 0.123 0.123 30 0.073 0.069 0.052 0.076 0.072 0.077 0.079 0.064 0.078 19 60 0.099 0.090 0.090 0.096 0.096 0.098 0.101 0.092 0.095 ro 0.126 0.122 0.121 0.123 0.126 0.128 0.125 0.121 0.123 720 0.134 0.134 0.135 0.136 0.136 0.137 0.136 0.134 0.135 30 0,050 0.041 0.024 0.041 0.033 0.052 0.057 0,041 0.056 20 60 0.076 0.065 0.063 0.069 0.068 0.072 0.075 0.065 0.071 90 0.130 0.128 0.128 0.127 0.130 0.129 0.131 0.127 0.107 720 0.138 0.137 0.137 0.134 0.137 0.136 0.136 0.131 0.137 ~ ~ Plot No. Depth in Moisture Content (9) em 30/4/74 13/5174 27/5174 10/6/74 24/6174 817174 2217174 19/8/74 319174 30 0.057 0.047 0.029 0.051 0.047 0.055 0.055 0.034 0.052 21 60 0.097 0.094 0.091 0.096 0.097 0.098 0.100 0.087 0.098 [J) 0.131 0.128 0.125 0.127 0.130 0.130 0.129 0.124 0.126 120 0.137 0.135 0.137 0.134 0.135 0.137 0.137 0.131 0.135 30 0.097 0.090 0.076 0.094 0.093 0.094 0.100 0.078 0.094 22 00 0.112 0.111 0.108 0.115 0.115 0.113 0.117 0.105 0.113 [J) 0.123 0.117 0.117 0.122 0.122 0.122 0.126 0.117 0.125 120 0.135 0.130 0.132 0.134 0.136 0.134 0.137 0.129 0.134 30 0.074 0.060 0.046 0.061 0.056 0.067 0.073 0.053 0.071 23 60 0.112 0.107 0.104 0.110 0.111 0.111 0.110 0.105 0.111 3) 0.130 0.129 0.128 0.13) 0.130 0.130 0.130 0.126 0.131 120 0.138 0.138 0.139 0.138 0.138 0.138 0.138 0.137 0.141 30 0.064 0.051 0.040 0.052 0.049 0.060 0.063 0.042 0.059 24 60 0.106 0.101 0.099 0.104 0.102 0.107 0.109 0.096 0.104 [J) 0.117 0.125 0.124 0.126 0.123 0.127 0.130 0.122 0.126 120 0.123 0.130 0.130 0.133 0.131 0.137 0.137 0.130 0.134 P nnted at 111 A, /oodan NIgeria