1 THE POTENTIAL FOR SOIL PHOSPHORUS TESTS TO PREDICT PHOSPHORUS LOSSES IN OVERLAND 2 FLOW 3 4 5 6 John N Quinton1*, Peter Strauss2, Nicola Miller3, Erol Azazoglu4, Markku Yli-Halla5, Risto Uusitalo5 1Department of Environmental Science, Institute of Environmental 7 and Natural Sciences, Lancaster University, Lancaster,LA1 4YQ , United 8 Kingdom (J.Quinton@Lancaster.ac.uk). 9 2 Institut für Kulturtechnik und Bodenwasserhaushalt, Bundesamt 10 für Wasserwirtschaft, Pollnbergstraße 1, A-3252 Petzenkirchen, Austria 11 (peter.strauss@baw.at). 12 13 14 15 16 17 3 National Soil Resources Institute, Cranfield University, Silsoe, Bedford MK45 4DT, United Kingdom (n.miller.s00@cranfield.ac.uk). Institute for Soil Science, University of Agricultural Sciences, A-1180 Vienna, Austria (erol.azazoglu@baw.at). 5 MTT Agrifood Research Finland, 31600 Jokioinen, Finland (markku.yli-halla@mtt.fi). 18 19 20 Key words: Phosphorus, Risk assessment, Diffuse pollution, Soil P tests, Overland flow, Sediment. 21 Paper given at the COST 832 Workshop on ‘ the development of a risk assessment methodology for predicting phosphorus losses at the field scale.’ 16 –19 October 2002, Zurich, Switzerland. 22 23 ABSTRACT Soil phosphorus tests offer a potentially powerful tool for land 24 managers trying to predict the areas which will contribute diffuse 25 losses of phosphorus (P) to surface water bodies through the overland 26 flow vector – but do they work? We address this question at a range of 27 scales, from patch (<1 m2), through plot (several m2) to small 28 watershed (several hectares). Our hypothesis is that as we increase 29 the scale, and therefore the complexity of the system, soil P tests 30 will predict P concentrations and losses associated with overland flow 31 less well, and that this is partly due to a shift from dissolved P 32 losses to P losses associated with eroded soil material. 33 At the patch scale soil P tests were used to predict the P 34 concentration and load from 24 European soils exposed to simulated 35 rainfall under controlled conditions in the laboratory. Results showed 36 that soil P tests were generally good predictors of reactive P <0.45 37 m, but did less well at predicting total P >0.45 m. By combining the 38 soil P test with measured sediment concentrations predictions of total 39 P concentrations improved. Outdoor rainfall simulation experiments on 40 bare soil plots (10 m2) revealed the overwhelming influence of particle 41 bound P losses compared with P losses in the water phase. Soil P 42 tests, which relate primarily to the dissolved P fractions in soil, 43 were not able to predict total P losses, but were related to reactive 44 P < 0.45 µm losses. At the watershed scale soil P tests were able to 45 predict reactive P <0.45 µm losses, but 46 uncertainty. with considerable 47 We conclude that soil P tests, in combination with sediment 48 concentration provide a useful means of assessing the mobilisation of 49 P in overland flow, but should not be expected to provide watershed 50 scale predictions of the movement of P into overland flow. 51 52 53 INTRODUCTION As the problem of phosphorus pollution of surface waters is 54 increasingly recognised, research efforts are focussing on 55 understanding the mechanisms of P transfer and trying to predict it. 56 Phosphorus can move to surface waters by surface and subsurface 57 pathways and in a variety of forms. In this paper we concentrate on 58 the surface pathway. 59 Phosphorus transfer from soil surfaces to watercourses relies on 60 the connection of a source of phosphorus with a surface water body. 61 Phosphorus can move from a source either in solution or attached to 62 suspended sediment particles. The phosphorus may be of inorganic or 63 organic nature. The dissolved fraction is commonly determined as P 64 <0.45m (Haygarth and Sharpley 2000) and described as molybdate or 65 non-molybdate reactive dissolved P. Particulate P is operationally 66 defined as P >0.45m and is again split into reactive and non-reactive 67 forms. As dissolved and particulate forms of P can cause 68 eutrophication of freshwater ecosystems we need to be able to predict 69 the transport of both. However, when soils have been tilled, by far 70 the greater mass of P tends to be exported as particulate P (Quinton 71 et al., 2001). 72 We hypothesise that soil P tests are useful predictors of the 73 sources of P: areas with high soil P test values representing 74 potential problem areas. Indeed several authors have found good 75 correlations between soil P test results and dissolved losses of P, 76 see for example Sharpley (1995), Pote et al (1996) and Sims et al., 77 (2000). However, predicting particulate P transfer in overland flow 78 requires us to also predict how much particulate associated P will be 79 detached and transported. This requires us to know something of where 80 and how much overland flow is generated in a landscape, and how much 81 and which fraction of the soil it will detach and transport. The 82 generation of overland flow is dependent on soil, landscape and 83 vegetation properties; soil detachment is related to the energy of the 84 rainfall or flow, and the dispersability of the soil. For the P to be 85 transferred to surface water bodies a connection must be made between 86 the overland flow and the surface water. This connectivity will depend 87 upon a range of soil, topographic and rainfall factors. None of these 88 factors controlling overland flow, soil detachment or connectivity is 89 directly related to soil phosphorus and we would therefore not expect 90 soil P tests to predict particulate P transfer with any confidence. 91 However, as demonstrated by a number of authors (Hooda et al, 2000; 92 Pote et al 1996; Sharpley 1995) soil P tests are related to the 93 solubilization of P. We would therefore expect that there would be 94 some relationship between the soil P tests and dissolved phosphorus 95 moving in overland flow. We would expect this relationship to be 96 demonstrated most clearly at the point of detachment, before the 97 complexity of the water running over different sources and receiving 98 inputs from different parts of the catchment is added, and less well 99 at the mouth of the watershed, where spatially dispersed sources have 100 been integrated and the signal becomes blurred. This paper uses data 101 from a range of scales, from patch (<1m2), through plot (several m2) to 102 small watershed (several hectares) to test these ideas. Our hypothesis 103 is that as we increase the scale, and therefore the complexity of the 104 system, soil P tests will predict P concentrations and losses 105 associated with overland flow less well, and that this is partly due 106 to a shift from dissolved P losses to P losses associated with eroded 107 soil material. 108 109 METHODOLOGY 110 Site and soil characteristics 111 Soils for the patch scale experiments were taken from 24 112 agricultural soils from six EU countries. Some analytical information 113 is provided in Table 1. The soils had Olsen-P values from 8 to 96 mg 114 kg-1 and water soluble-P of 0.26 to 65 mg kg-1. To limit other sources 115 of variability the same pre-treatment was used for all soil samples. 116 Soil samples from all sites were taken from the surface 50 mm of the 117 soil, air-dried and sieved to 118 metal trays measuring 250 x 500 mm with a depth of 90 mm. Soil was 119 packed to a density of 1.3 g cm-3. 120 capillary rise and drained for a further 24 hours before rainfall was 121 applied. 122 <5 mm. The sieved soil was packed into Soil was pre-wetted for 24 hours by The plot scale study was conducted at selected sites also used for 123 the patch scale experiment, namely at Nagyhorvati, Somogybabod, Tetto 124 Frati and Riva. At each site a seedbed was prepared about 5 days 125 before the rainfall simulation experiments started. 126 The watershed scale work was carried out in the catchments of 10 127 lakes in an area covering about 10,000 km2 in the Kokemäenjoki river 128 basin in southern Finland. Agriculture in this area consists of cereal 129 production and dairy farming. Soil texture, organic matter, pH, and 130 nutrient status vary widely. The soils are formed on glacial tills or 131 clayey sediments of the ancient Baltic Sea. 132 sediment samples were taken on the assumptions that they represented 133 sediment from: forested areas; fields used for cereal production; cow- 134 sheds, stables, or piggeries - denoted as animal farm ditches; 135 pastures, which may receive wastewaters from milking centres; and 136 wastewater-affected ditches, clearly affected by septic tanks, and 137 milking centre wastewater. 138 Soil P tests One hundred and two ditch 139 For the patch and plot scale experiments the amount of P which is 140 deemed potentially plant available was determined using three 141 different extraction methods which are commonly used in different 142 European countries. Olsen P was determined after 30 min of extraction 143 with sodium bicarbonate and filtering through a paper filter (Olsen et 144 al., 1954). Water soluble P (WSP) was determined 145 soil with 60 ml of water for one hour in an orbital shaker and 146 allowing the to stand for 23 hours. The suspension was then reshaken 147 for another ten minutes and filtered through a 0.02 mm filter before 148 being analysed for P colormetrically. Total phosphorus (TP) was 149 determined by sodium hydroxide fusion (Smith and Bain, 1982). Soil and 150 sodium hydroxide pellets are placed into a nickel crucible and heated 151 to 350ºC for one hour. 152 water and covered for two hours. 153 the TP concentration of the filtrate is determined 154 spectrophotometrically using the molybdate ascorbic method. 155 by shaking 1 g of Once cool the crucible is placed in deionised The suspension is then filtered and In the Finnish experiments, P was extracted from 20 mineral soil 156 samples with an acetate solution and deionised water (Pw, soil-to- 157 water 1:100, 18 h). The acid acetate extractant (AAAc; 0.5 M ammonium 158 acetate, 0.5 M acetic acid, pH 4.65; Vuorinen and Mäkitie, 1955) is 159 used to extract P and macronutrient cations in Finland. The extraction 160 time was one hour and the volumetric soil-to-solution ratio wass 1:10. 161 This extractant 162 solution 1:60) from the predominantly acidic Finnish soils (Yli-Halla, 163 1990). dissolves similar amounts of P to water (soil-to- 164 165 Table 1. Analysis of soils used in the patch and plot scale 166 studies. WSP – Water soluble phosphorus; NaOH-P – sodium hydroxide 167 extractable P; Aqua Regia - 168 – Olsen P. 169 Total P after aqua regia digestion; Olsen 170 Rainfall simulation 171 At the patch scale rainfall was simulated using a nine-metre 172 indoor gravity fed rainfall simulator. 173 deionised water being fed through a tray of hypodermic needles at 9 174 metres above the soil surface. A splash screen at 6 m decreases the 175 uniformity of the drops producing a variety of drop sizes which better 176 imitates natural rainfall. 177 1 178 chosen, after trial runs, as an intensity that would generate runoff 179 from all soil samples. The soil tray was placed beneath the rainfall 180 on a 8.7 % slope and subjected to 30 minutes of rainfall. Overland 181 flow was collected separately at 0-10, 10-20 and 20-30 minutes. 182 the simulation was complete the soil tray was then left to stand for 183 five days and the simulation was repeated. Experiments were replicated 184 three times. 185 The rainfall is formed by Rainfall was applied at a rate of 60 mm hr- with a mean drop diameter of 1.0 mm for 30 minutes. 60 mm hr-1 was After Plot scale experiments were carried out on plots measuring 2 m x 5 186 m using a rainfall simulator, described in Strauss et al. (2000), with 187 a median volumetric drop size of 2.0 mm and a Christiansen uniformity 188 coefficient of about 90%. Slopes at the different sites were 7.5 % at 189 Nagyhorvati, 13 % at Somogybabod and 0.5 % at Tetto Frati and Riva 190 respectively. Prior to each rainfall simulation 30 mm of rain was 191 applied to the plots, which had been covered with a permeable mesh to 192 prevent destruction of the soil surface, to obtain equal initial water 193 contents for the plots. Consecutive rainfall simulations were carried 194 out at day 1 (rain 1), day 5 (rain 2), and day 10 (rain 3). Reported 195 results are mean values of four independent replicates and the three 196 different rains applied. To aid comparison to the patch scale 197 experiments the same rainfall intensity of 60 mm h-1 was used. 198 Experiments continued until constant runoff rates were achieved. 199 Sediment analysis 200 For the patch and plot scale experiments volume and sediment 201 concentration of overland flow were determined before analysis for P 202 content (House et al., pers. com.). Reactive P (<0.45) was determined 203 on undigested samples and phosphorus concentration in all were 204 measured colourimetrically using the molybdenum blue method (Murphy 205 and Riley 1962) on a UV/VIS Spectrometer. Total P and TP (<0.45) were 206 determined for the patch samples by sulphuric acid-persulphate digest 207 adapted from (Eiseneich et al, 1975) and for the plot scale 208 experiments using aqua regia digests (12N HCl and 15N HNO3 mixed 3:1). 209 Analysis was carried out within 24 hours of sampling. Ditch sediment 210 samples, from the watershed study, were analysed for AAAc-P using the 211 method of Jansson et al. (2000). 212 RESULTS 213 Patch scale 214 The total overland flow produced from each of the 24 soils ranged 215 from a low of 940 ml to a high of 3290 ml, with a mean of 2481 ml. 216 This variability was related to differences in infiltration capacity. 217 For all soils overland flow volume increased during the rainfall 218 event, with some soils reaching a steady state of runoff. 219 The general trend was for TP concentration to decrease through 220 time, probably due to the dilution effect of the increasing volume of 221 flow. However, TP load did not vary significantly through time due to 222 the greater carrying capacity of the increased flow. 223 of soils TP (<0.45) and RP (<0.45) concentration did not vary 224 significantly through time. 225 For the majority The mean concentration of TP for the entire event for each soil 226 ranged from a low of 0.41 mg l-1 to a high of 5.46 mg l-1, with a mean 227 of 2.04 mg l-1. 228 high of 0.65 mg l-1 to a low of 0.01 mg l-1, with a mean of 0.14 mg l-1 229 RP (<0.45) contributed between 44-100% of TP (<0.45). Total P (>0.45) 230 contributed by far the greatest proportion of P to overland flow with The mean concentration of RP (<0.45) ranged from a 231 between 65-98% of the total. 232 particulate bound P transport by overland flow and highlights the need 233 to predict the potential for particulate P transport by this pathway. 234 This indicates the significance of Table 2 indicates that the usefulness of soil P tests as 235 predictors of P in overland flow depends on the extraction method and 236 on the form of P being predicted. 237 correlated with the <0.45 m fractions. The WSP gives significant 238 (P<0.05) correlations with both the loads and concentrations of all 239 fractions, while Olsen-P does not correlate with the total P load 240 results. Correlations are highest in all cases for the WSP soil test 241 and lowest in all cases for the TP extracted by sodium hydroxide 242 fusion. All soil P tests are better 243 244 Table 2. Correlation coefficients (r ) for soil P tests correlated 245 to TP, TP (<0.45) and RP (<0.45) load and concentration in overland 246 flow from the patch scale experiments. * indicates significant at 247 P<0.05. 248 249 Plot scale 250 Mean runoff rates at constant flow conditions varied between 0.4 l 251 m-2 min-1 (Nagyhorvati) and 0.8 l m-2 min-1 (Tetto Frati). Erosion rates 252 at constant runoff varied between 5.2 g m-2 min-1 (Riva and Tetto Frati) 253 and 70.3 g m-2 min-1 (Somogybabod). No total values are given because 254 the experiments were carried out until steady state conditions had 255 been achieved, and therefore durations and consequently total runoff 256 and erosion were different at each site. Table 3 summarises mean 257 concentrations and loads for TP (<0.45 µm) and TP under steady state 258 conditions. For all sites concentrations and loads of RP<0.45µm were 259 negligible compared to TP. This emphasises the importance of soil 260 erosion for P transport at this scale. The amount of eroded soil was 261 significantly (P<0.01 for Nagyhorvati, Riva and Tetto Frati, and 262 P<0.05 for Somogybabod) correlated to the amount of surface runoff at 263 each site. 264 265 Table 3: Mean total P (TP) and total P < 0.45µm (RP<0.45) 266 concentrations and loads for three consecutive rains and different 267 sites. 268 269 Watershed scale 270 Uusitalo and Jansson (2002) investigated the relationship between 271 AAAc-extractable soil P and MRP in runoff at the field scale, in the 272 3.3 km2 catchment of Lake Rehtijärvi in Jokioinen, Southern Finland. 273 They found that the AAAc test results were related to MRP 274 concentrations in runoff (Figure 1). High MRP in runoff was always 275 from fields with a high value of soil test P. However, soils with a 276 high soil test P periodically produced runoff low in MRP. The soil P 277 test did not perform well in predicting P in turbid samples, since the 278 concentration of particulate P was highly dependent on the 279 concentration of suspended solids (Uusitalo et al., 2000). 280 281 Figure 1. Soil P extracted by ammonium acetate buffer (AAAc-P) 282 versus concentration of dissolved molybdate-reactive P (MRP) in 283 overland flow (n = 18) in Lake Rehtijärvi catchment, southern Finland. 284 Flow-weighted MRP concentrations are averaged over the three study 285 years, and the error bars represent SE of the mean. From Uusitalo and 286 Jansson (2002), with the kind permission of Agriculture and Food 287 Science in Finland. 288 289 We have less evidence to relate soil P test results to the 290 concentration of P in the ditch sediments. The average P 291 concentrations of the four source area classes clearly differed from 292 each other (Table 4), and were typically about 4 mg l-1 in the ditches 293 carrying sediment and water from forested areas, and about 8 mg l-1 in 294 the ditches connected to fields. According to Jansson et al. (2000), 295 ditch sediment AAAc-P concentrations of less than 4 mg l-1 typically 296 correspond to MRP concentration of less than 40 g l-1. The AAAc-P 297 values greater than 12.6 mg l-1, in our survey found were all in 298 ditches connected to animal farm and waste water sources (Table 4), 299 which 300 concentrations greater than 80 g l-1. Anecdotal evidence from the 301 watershed suggests that fields with higher soil P test results 302 contribute to higher sediment P concentrations. However, in some 303 catchments a considerable part of P load originates from point 304 sources, like confined animal operations and paddocks. In these cases, 305 soil test P of the fields are likely to underestimate the P load to 306 the watercourse. according to Jansson et al., (2000) correspond to MRP 307 308 Table 4. Ditch sediment P (mg P l-1 sediment) extractable by 309 ammonium acetate buffer; the material is classified according to 310 source areas. 311 312 DISCUSSION Our results demonstrate the problems of using soil-P tests to 313 predict P transport in overland flow. At the patch scale significant 314 correlations were found between WSP and total P (both less than and 315 greater than 0.45m) 316 found with the less than 0.45 m fractions. Since RP makes up the 317 greatest proportion of the <0.45m fraction (a mean of 88% for the 318 samples used) the WSP P test appears to be a useful tool for assessing 319 the potential for mobilisation of dissolved P. 320 well at predicting total P concentrations. This is not surprising 321 since it would be expected that total P concentrations will be the 322 product of 323 sediment in the runoff. In fact if the residuals of a linear and RP. However, the best relationships are The test does less P concentrations in the sediment and the concentration of 324 regression of total P against WSP are plotted against sediment 325 concentration (Figure 3) a significant (r2 = 0.85; p<0.05) agreement is 326 found. Using a linear model that includes sediment concentration and 327 WSP 81% of the variance in total P concentrations can be explained 328 (p<0.05). 329 330 Figure 2. Sediment concentration potted against the residuals of a 331 best fit regression line of WSP against total P concentration in the 332 overland flow of all samples. The regression line illustrated (y= 333 0.888 + 0.262x) explains 85 % of the variance and is significant at 334 the 0.05% level. 335 336 If we relate concentrations of RP<0.45 µm to results of soil P 337 tests (Olsen P, water soluble P) at the plot scale, we recognise a 338 general trend of increasing concentrations with increasing soil P test 339 values (Figure 3) indicating the potential of soil P tests in 340 predicting soluble P fractions in surface runoff. At sites with a low 341 risk of erosion, such as grassland dominated areas, dissolved P 342 fractions may constitute a major part of P losses in surface runoff 343 (Schønning et al., 1995; Ulen, 1997) and 344 valuable tool for predicting P mobilisation (Table 2). Soil P tests do 345 less well at predicting total losses or total loads when particle 346 bound P transport is the dominant process, such as in the plot scale 347 study (see Table 3). soil P tests may be a 348 349 Figure 3. Relationship between soil P test results (represented by 350 Olsen P and water soluble P) and RP<0.45µm concentrations in surface 351 runoff for the studied sites 352 353 At the watershed scale the variability present in the predictions 354 of MRP from the AAAc-P soil test results (Figure 2) could be the 355 result of several phenomena. Depths of water on the soil surface will 356 be variable, making the ratios of water to the soil variable. 357 Watersheds will also encompass areas with differing amounts of soil 358 phosphorus and areas contributing different volumes of water. The 359 mixing of sediment and water from different sources makes it difficult 360 to use a soil P test to make predictions at this scale with any degree 361 of precision. However, Figure 2 does suggest that soil P tests can be 362 a useful risk assessment tool for identifying the potential release of 363 dissolved phosphorus to overland flow of different soils within a 364 catchment. 365 366 CONCLUSION Overall our results show that soil P tests are capable of 367 predicting RP losses at a range of scales, albeit with increasing 368 uncertainty, 369 patch scale. This should not surprise us and conforms with our stated 370 hypothesis. As we increase scale, the system we are dealing with 371 becomes more complex and the processes which are controlling the 372 amount of P in surface waters change and shift in their relative 373 dominance. Soil P status is one key component required to predict the 374 phosphorus content of overland flow, but without knowledge of the 375 factors governing, overland flow generation, sediment production and 376 connectivity to surface waters it remains one piece of a complex 377 jigsaw. and fail to predict total P concetrations at all but the 378 ACKNOWLEDGEMENTS 379 The authors would like to acknowledge the assistance of Elissabeta 380 Barbaris, Istvan Sisak and Helina Hartikainen 381 the DESPRAL project (EVK1-CT-1999-00007) for the patch and plot cale 382 studies. 383 REFERENCES and funding through 384 Eiseneich, S. J., Bannerman, R. T., and D. E. Armstrong. 385 A simplified phosphorus analytical technique. Environ. Lett. 386 53. 387 388 389 Haygarth, P. M. and (1975): 9, 43- A.N. Sharpley. (2000): Terminology for phosphorus transfer. J. Environ. Qual. 29, 10-15. Hooda, P. S., Rendell, A. R., Edwards, A. C., Withers, P. J.A., 390 Aitkens, M. N., and Truesdale, V. W. (2000): Relating soil phosphorus 391 indices to potential phosphorus release to water. Environ. Qual. 29, 392 1166-1171. 393 House, W. A., Denison, F. H., Butler, T., and Haygarth, P. Total 394 phosphorus determination by persulphate digestion. Personnel 395 communication. Institute of Grassland and Environmental Research, 396 North Wyke, Devon, UK. . 397 Jansson, H., V. Mäntylahti, A. Närvänen, and R. Uusitalo. (2000): 398 Phosphorus content of ditch sediments as indicator of critical source 399 areas. Agricultural and Food Science in Finland 9, 400 Murphy. J. and Riley. J.P. (1962): A modified single solution method 401 for determination of phosphate in natural waters. Anal. Chim. Acta 27, 402 31-36. 403 217-221. Olsen, S. R., Cole, C. V., Watanabe, F. S., and Dean, L. A. 404 (1954): Estimation of available phosphorus in soils by extraction with 405 sodium bicarbonate. 406 Circ. 939. 407 U. S. Gov. Print. Office, Washington, DC: USDA Pote D.H., T.C. Daniel, A.N. Sharpley, P.A. Moore Jr., D.R. 408 Edwards, D.J. Nichols (1996): Relating extractable soil phosphorus to 409 phosphorus losses in runoff. Soil Sci.Soc.Am.J., 60, 855-859. 410 Quinton, J.N., J.A. Catt, & T.M.Hess. (2001): The selective 411 removal of phosphorus from soil: is event size important? Environ. 412 Qual. 30, 538-545. 413 414 Schjønning P., E. Sibbesen, A.C. Hansen, B. Hasholt, T. Heidmann, M.B. Madsen, J.D. Nielsen (1995): Surface runoff, erosion and loss of 415 phosphorus at two agricultural soils in Denmark. SP report, 14, Danish 416 Institute of Plant and Soil Science. 417 418 419 Sharpley A.N. (1995): Dependence of runoff phosphorus on extractable soil phosphorus. J.Environ.Qual. 24, 920-926. Sims, J. T., Edwards, A. C., Schoumans, O. F., and Simard,R. R. 420 (2000): 421 based agricultural management practices. J.Environ.Qual. 29, 60-71. 422 Integrating soil phosphorus testing into environmentally Smith, B.F.L., and A.C. Bain. (1982): A sodium hydroxide fusion 423 method for the determination of total phosphate in soils. 424 Communications in Soil Science and Plant Analysis 13, 185-190. 425 c 426 Turtola, E. and M. Yli-Halla. (1999): Accumulation of phosphorus 427 in soil after surface application of slurry and mineral fertilizer. 428 Nutrient Cycling in Agroecosystems 55, 165-174. 429 Ulen B. (1997): Nutrient losses by surface runoff from wintergreen 430 and spring ploughed soil in the South of Sweden. Soil & Tillage Res., 431 44, 165-177. 432 Uusitalo, R. and H. Jansson. (2002): Phosphorus concentration in 433 runoff assessed by soil extraction using an acetate buffer. 434 Agricultural and Food Science in Finland 11, 343-353. 435 Uusitalo, R.,Yli-Halla, M.& Turtola, E. (2000): Suspended soil as 436 a source of potentially bioavailable phosphorus in surface runoff 437 waters from claysoils. Water Res. 34, 2477-2482. 438 439 440 Vuorinen, J. and O. Mäkitie. (1955): The method of soil testing in use in Finland. Agrogeological Publications 63, 1-44. Yli-Halla, M. (1990): Comparison of a bioassay and three chemical 441 methods for determination of plant-available P in cultivated soils of 442 Finland. Journal of Agricultural Science in Finland 62, 213-219. 443 444 445 TABLES Table 1. Analysis of soils used in the patch and plot scale 446 studies. WSP – Water soluble phosphorus; NaOH-P – sodium hydroxide 447 extractable P; Aqua Regia - 448 – Olsen P. Country Site United Kingdom United Kingdom United Kingdom United Kingdom United Kingdom United Kingdom Italy Italy Italy Italy Italy Italy Finland Finland Austria Austria Austria Austria Austria Austria Hungary Hungary Hungary Hungary 449 450 Total P after aqua regia digestion; Olsen % % WSP sand silt 17 58 3.79 NaOH-P Aqua Regia 487 800 OLSEN Bridgets % clay 25 Boxworth 39 27 34 2.75 585 524 6.27 Rosemaund 25 9 66 12.76 652 435 12.67 Pwllpeiran 25 35 40 2.46 708 6.60 Gleadthorpe 10 65 25 21.42 830 645 26.60 Olcenengo 18 27 55 0.26 595 601 20.00 Villafranca Piemonte Mantova Bonavia Tetto Frati Sale Riva Jokioinen Turka Gross-ens Min Gross-ens Org Rit-4 Rit-5 Rottenhaus 5 Rottenhaus 6 Keszthely Nagyhorvati Somogybabod Szentgyorgyvolgy 13 41 46 44.7 1288 1122 69.13 33 24 12 37 20 61 48 20 22 23 23 39 33 22 20 17 21 14 24 27 10 11 20 11 36 30 17 16 4 7 38 30 27 8 53 52 61 53 69 19 41 44 48 60 61 57 60 40 50 56 71 20.46 10.3 20.14 38.41 31.92 13.09 28.59 13.44 19.32 30.71 64.74 6.45 2.95 1.08 5.64 0.99 2.73 998 503 940 703 882 1343 1903 640 603 953 1425 1033 917 367 525 775 712 1315 749 897 617 684 1284 1581 732 736 1062 1249 823 876 363 500 537 669 48.13 23.93 31.20 44.60 40.93 41.00 62.47 22.27 24.07 57.13 95.47 13.27 40.73 8.00 14.20 0.47 6.67 1365 9.73 451 Table 2. Correlation coefficients (r ) for soil P tests correlated 452 to TP, TP (<0.45) and RP (<0.45) load and concentration in overland 453 flow from the patch scale experiments. * indicates significant at 454 P<0.05. Load (mg) TP TP (<0.45) RP (<0.45) Concentration (mg l-1) TP TP (<0.45) RP (<0.45) 455 456 WSP Olsen-P mg l-1 mg l-1 TP (NaoH) mg l-1 0.36* 0.87* 0.90* 0.25 0.76* 0.80* 0.01 0.30* 0.37* 0.53* 0.89* 0.91* 0.45* 0.83* 0.85* 0.17 0.47* 0.49* 457 458 Table 3: Mean total P (TP) and total P < 0.45µm (RP<0.45) concentrations and loads for 3 consecutive rains and different sites. Site Riva Tetto Frati Somogybabod Nagyhorvati 459 460 Concentrations TP RP<0.45 mg l-1 mg l-1 8.8 0.23 7.6 0.12 79.0 0.01 10.8 0.14 Loads TP mg min-1 m-2 7.0 5.9 52.2 4.3 RP<0.45 mg min-1 m-2 0.18 0.09 0.01 0.06 461 Table 4. Ditch sediment P (mg P l-1 sediment) extractable by 462 ammonium acetate buffer; the material is classified according to 463 source areas. n Mean Min Max 464 465 466 Forested Field 22 3.9 1.7 5.8 51 7.2 2.1 12.6 Animal farm 14 15.7 10.9 24.1 Wastewater 15 33.9 10.0 107 467 FIGURES 468 MRP, mg l -1 1 0.1 0.01 1 10 100 AAAc-P, mg l -1 soil 469 470 Figure 1. Soil P extracted by ammonium acetate buffer (AAAc-P) 471 versus concentration of dissolved molybdate-reactive P (MRP) in 472 overland flow (n = 18) in Lake Rehtijärvi catchment, southern Finland. 473 Flow-weighted MRP concentrations are averaged over the three study 474 years, and the error bars represent SE of the mean. From Uusitalo and 475 Jansson (2002), with the kind permission of Agriculture and Food 476 Science in Finland. Residual of total P predicited by WSP 4.5 3.5 2.5 1.5 0.5 -0.5 -1.5 -2.5 0 4 8 12 16 20 Sediment concentration 477 Figure 2. Sediment concentration potted against the residuals of a 478 best fit regression line of WSP against total P concentration in the 479 overland flow of all samples. The regression line illustrated ( y= 480 0.888 + 0.262x) 481 the 0.05% level. 482 explains 85 % of the variance and is significant at 483 35 50 45 Olsen P WSP 30 -1 Olsen P (mg kg ) 30 20 25 15 20 15 10 -1 25 35 Water soluble P (mg kg ) 40 10 5 5 0 0 0.05 0.15 0.2 0 0.25 RP<0.45µm (mg l-1) 484 485 0.1 Figure 3. Relationship between soil P test results (represented by 486 Olsen P and water soluble P) and RP<0.45µm concentrations in surface 487 runoff for the studied sites.