Environmental Pollution 139 (2006) 279e287 www.elsevier.com/locate/envpol Spatial variation in the degradation rate of the pesticides isoproturon, azoxystrobin and diflufenican in soil and its relationship with chemical and microbial properties Gary D. Bending*, Suzanne D. Lincoln, Rodney N. Edmondson Warwick HRI, University of Warwick, Wellesbourne, Warwick CV35 9EF, UK Received 19 November 2004; accepted 13 May 2005 Spatial variation determines risk assessment for pesticides in soil. Abstract The extent of within field variability in the degradation rate of the pesticides isoproturon, azoxystrobin and diflufenican, and the role of intrinsic soil factors and technical errors in contributing to the variability, was investigated in sites on sandy-loam and clayloam. At each site, 40 topsoil samples were taken from a 160!60 m area, and pesticides applied in the laboratory. Time to 25% dissipation (DT25) ranged between 13 and 61 weeks for diflufenican, 5.6 and 17.2 weeks for azoxystrobin, and 0.3 and 12.5 weeks for isoproturon. Variability in DT25 was higher in the sandy-loam in which there was also greatest variability in soil chemical and microbial properties. Technical error associated with pesticide extraction, analysis and lack of model fit during derivation of DT25 accounted for between 5.3 and 25.8% of the variability for isoproturon and azoxystrobin, but could account for almost all the variability for diflufenican. Azoxystrobin DT25, sorption and pH were significantly correlated. Ó 2005 Elsevier Ltd. All rights reserved. Keywords: Soil; Persistent pesticides; Degradation; Spatial variability; pH 1. Introduction A large proportion of any pesticide application reaches the soil where it interacts with organic and mineral constituents and undergoes biological and chemical transformations. Microbial degradation is the primary route for loss, and is therefore the key process affecting the dynamics of pesticide residues in the environment, including their persistence in soil, and their susceptibility to leaching (Aislabie and Lloyd-Jones, 1995). A number of studies have shown that there can be significant spatial variation in the degradation rate of * Corresponding author. Tel.: C44 24 76575057; fax: C44 24 7657 4500. E-mail address: gary.bending@warwick.ac.uk (G.D. Bending). 0269-7491/$ - see front matter Ó 2005 Elsevier Ltd. All rights reserved. doi:10.1016/j.envpol.2005.05.011 pesticides within agricultural fields, with implications for patterns of pesticide leaching from fields. Walker and Brown (1983) showed that the rapidly metabolised herbicides metribuzin and simazine showed coefficients of variation (CV) for time to 50% dissipation (DT50) of 21 and 7%, respectively, in samples taken from an 80!80 m plot from within a field, indicating that there could be variation in degradation rates at the local scale. The pesticides used in the study of Walker and Brown (1983) showed first order degradation consistent with cometabolism, in which biodegradation does not involve proliferation of degradative organisms. For many pesticides, degradation occurs by growthlinked metabolism (Aislabie and Lloyd-Jones, 1995). However, the occurrence of microbes adapted to use pesticides as energy sources can be localised at the field scale (Bending et al., 2003). Mixtures of degradation 280 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 mechanisms within fields can result in extreme variation in degradation rates. Parkin and Shelton (1992) showed that variability in DT50 in a field area in which there were sites showing either growth-linked or cometabolic degradation of carbofuran was significantly higher than areas in which degradation occurred by growth-linked metabolism only, with CVs of 25e49% and 9e17%, respectively. Similarly, Walker et al. (2001a) found high variability in isoproturon DT50 in a field which possessed sites showing cometabolic and growth-linked metabolism, with a CV of 41%. Variability in degradation rates across fields in some studies has been linked to variation in soil properties. The variability in degradation rate shown by Walker et al. (2001a) was shown to be associated with pH, which was found to control the extent to which isoproturon degrading organisms could proliferate (Bending et al., 2001, 2003). However, in other studies, no relationship between variability in degradation rate and soil characteristics has been established (e.g. Cullington and Walker, 1999). Investigations on spatial variation in pesticide degradation have focussed on compounds with high to moderate mobilities in soil and which are degraded relatively quickly, with DT50 of up to 3 months (Price et al., 2001; Walker et al., 2001a,b; Parkin and Shelton, 1992; Muller et al., 2003). Much less is known of the spatial variability in the degradation rate of persistent pesticides with DT50 of up to 6 months or more, or of those pesticides that become tightly sorbed to soil components. A number of such compounds are widely used in Europe, including the triazole fungicides (Bromillow et al., 1999) and the herbicide diflufenican (Conte et al., 1998; Rouchard et al., 1994). For these compounds, variability in degradation rate has implications for the persistence of the compound in soil, and particularly the possibility that they may accumulate on repeated use at the same site. Massey and Lenoir (2003) suggested that variability in pesticide degradation rates arises from errors associated with technical error resulting from variability in pesticide application, soil sampling and sample analysis, in addition to variability associated with abiotic and biotic degradation processes. Further contributions to technical error could also occur through lack of fit of the model used to derive DT50 values. However the contribution of these sources of variability to measured in-field spatial variability of pesticide dissipation have not previously been considered (Walker and Brown, 1983; Price et al., 2001; Walker et al., 2001a,b; Parkin and Shelton, 1992; Muller et al., 2003). It is unclear therefore, whether the variability in pesticide DT50 reported by these authors is due to variability in the rate of soil degradation processes alone, as has been assumed, or whether technical error and model lack of fit could have contributed to the observed variability. The aim of the current study was to characterise the extent of within-field variability in the degradation rate of three pesticides with a range of persistence and bioavailabilities in soil. The contribution of technical error and model lack of fit to the variability in degradation rate was elucidated. We also determined whether variability in degradation rate was linked to variability in key chemical and microbial soil properties. 2. Materials and methods 2.1. Pesticides Studies focussed on the persistent, highly sorbed pesticide diflufenican (2#,4#-difluoro-2-(a,a,a,-trifluoro-mtolyloxy)nicotinanilide), the relatively rapidly degraded, moderately mobile compound isoproturon (3-(4-isopropylphenyl)-1,1-dimethylurea) and the intermediate compound azoxystrobin (methyl (E )-2-{2-[6-(2-cyanophenoxy)pyrimidin-4-yloxy]phenyl}-3-methoxyacrylate). Characteristics of the pesticides are given in Table 1. 2.2. Field sites and pesticide treatment history Two sites with contrasting soil types were sampled during March 2002. The first site was Long Close field on the farm at Warwick HRI, Wellesbourne, Warwickshire, UK. This soil is a sandy loam of the Wick series (Whitfield, 1974). Over the 5 years prior to sampling, the field had a history of diflufenican (1998, 1999, 2001) and isoproturon use (1999, 2001). The second site was Asplands 2 field at the Warwick HRI site at Kirton, Lincolnshire, UK. The soil is a silt-loam of the Wisbech series (Hodge et al., 1984), and the field had received a previous application of azoxystrobin (2001). 2.3. Soil collection At each site, 40 samples of soil were taken at 20 m intervals on a 160!60 m grid within each field. At each sampling site the top 20 cm of soil was collected with a trowel which was sterilised with ethanol between each site. The soils were sieved (!3 mm), with the sieve sterilised with ethanol between processing of each Table 1 Pesticide characteristics Compound Pesticide class DT50a Kow log Pb Isoproturon Azoxystrobin Diflufenican Phenylurea herbicide Strobilurin fungicide Pyridinecarboxamide herbicide 6e28 days 1e8 weeks 15e30 weeks 2.5 2.5 4.9 a b Tomlin (2000). Ware (1994). G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 sample. Soils were air-dried to approximately 8% moisture content prior to experimental use. 2.4. Soil chemical and biological characterisation Total organic C and N were determined using an automated C/N analyser (CN-2000, Leco Corporation, Michigan, USA). Microbial biomass-N was extracted using the chloroform fumigationeextraction technique (Joergensen and Brookes, 1990). Ninhydrin-reactive N released by fumigation was converted to biomass-N using a conversion factor of 3.1 (Amato and Ladd, 1988). Dehydrogenase activity was measured using the method of Tabatabai (1994). Soil pH was measured using a glass electrode in a 1:2.5 suspension of distilled H2O. 2.5. Pesticide application Commercial formulations of isoproturon (Aventis Crop Science, Lyon, France), azoxystrobin (Syngenta Crop Protection, Bracknell, UK) and diflufenican (Bayer Crop Science, Monheim, Germany) were diluted with distilled H2O and applied to 500 g dw equivalent portions of soil to give a concentration of 5 mg kg1 soil, except for isoproturon which received 15 mg kg1 soil. These concentrations correspond to the recommended field dose of the compounds when applied to a 1 cm depth of soil. Additional distilled H2O was added as necessary to bring the soil matric potential to 33 kPa. Each soil sample was mixed by hand using a pair of disposable latex gloves. The soil was transferred to screw-top polypropylene bottles and incubated in the dark at 15 C. Sterile controls were prepared for soil from 10 locations at each site for each pesticide. Analytical grade pesticide (British Greyhound, Birkenhead, UK) dissolved in ethanol was added to 500 g dw autoclave sterilised soil to give the pesticide concentrations described above. Distilled H2O was added to give a matric potential of 33 kPa and the soils were incubated in sterile polypropylene bottles, as described above. 2.6. Pesticide analysis Initial studies compared GC and HPLC methods for determining amounts of azoxystrobin and diflufenican extracted from soil. Azoxystrobin and diflufenican were spiked into a single non-sterile soil sample taken from Long Close field at concentrations between 0.1 and 5.0 mg kg1 soil, and residues extracted after 24 h using methanol, as described below. Using GC conditions similar to those described in Conte et al. (1998), and the HPLC conditions described below, recoveries of azoxystrobin and diflufenican were 89.0 and 90.2%, respectively, by HPLC and 84.3 and 78.6%, respectively, by GC. Furthermore, the GC method could not detect azoxystrobin residues at 281 concentrations below 1 mg kg1 soil. Errors associated with the GC method were also higher, with the standard deviation associated with pesticide recovery 7.9 and 6.7%, respectively, for azoxystrobin and diflufenican when measured by HPLC, and 11.6 and 15.2%, respectively, when measured by GC. HPLC was therefore chosen for analysis of pesticide residues. Amounts of parent compound in the non-sterile samples were determined at monthly intervals, except for isoproturon, which was assessed weekly. For the sterile soils, samples of soil were aseptically removed after 0, 3, 6 and 9 months and the amounts of pesticide determined. To extract pesticides, 20 g of soil was shaken with 20 ml of 90:10 v/v methanol:H2O for 1 h. After allowing the soil to settle, pesticide concentrations were determined by HPLC using a Kontron Series 300 HPLC with a Lichrosorb RP18 column (250!4.6 mm, Merck). The pesticides were eluted with a mobile phase of acetonitrile:H2O:orthophosphoric acid of 85:15:0.25 at a flow rate of 1 ml min1, with diflufenican and azoxystrobin detected by absorbance at 220 nm, and isoproturon at 240 nm. In order to calculate the technical error attributable to the combined effects of sampling from bottles and the extraction and analysis of pesticides, pesticide recovery from duplicate samples taken from each bottle of soil was determined at the first sampling. Analyses were not corrected for recovery. 2.7. Azoxystrobin sorption Immediately after application of azoxystrobin, and after 1 and 8 months, amounts of the compound in the soil solution were determined in a sub-sample of 10 soil samples selected from each location. These 10 samples were chosen to span the range of C and pH values found within each field. The method of Walker (2000) was used to assess sorption in the soil samples. Ten grams of soil was placed into a syringe body and centrifuged at 500!g for 5 min. The soil solution spun from the soil was collected and azoxystrobin concentration measured by HPLC, as described above. The amounts recovered in the soil solution were expressed as a % of the total azoxystrobin remaining in the sample (as determined in Section 2.6). 2.8. Statistical analysis Diflufenican was degraded slowly, with 50% degradation not being reached in most soil samples. Consequently, time to 25% degradation (DT25) was calculated for each compound. For azoxystrobin and diflufenican, degradation followed first-order kinetics, and DT25 was determined by linear regression analysis of the logarithm of concentration against time of incubation. For isoproturon, degradation did not follow first-order kinetics. Cubic regression analysis of the logarithm of concentration against time was found to 282 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 provide the best fit to isoproturon degradation, and was used to generate DT25 values. The components of variability of the DT25, which incorporated technical errors associated with sampling and pesticide analysis and model lack of fit, were determined by inverse estimation using the reciprocal of the decay rate constant (b), using a first-order Taylor series approximation (Stuart and Ord, 1994). An approximate expression for the variance of the DT25 was given by: 2 VarianceðDT25ÞZ ðloge ðDT25ÞÞ varðbÞ b4o This expression was used to compute approximate components of variability of DT25 by substituting the estimated decay rate variance components var(b) and using the average rate constant (bo) of the 40 soil samples. (Table 2). At Wellesbourne, organic-C was lower and more variable, with a range of 0.89e2.31% (Fig. 1a), a mean of 1.37% and a CV of 20.0% (Table 2). At Kirton pH ranged from 7.1 to 8.1 (Fig. 1b) with an average of 7.8 and a CV of 2.5% (Table 2). pH at Wellesbourne was lower and more variable, with a range of 5.7e7.7 (Fig. 1b), a mean of 6.8 and a CV of 6.2 (Table 2). Biomass at Kirton ranged from 3.4 to 9.2 mg kg1 soil (Fig. 1c) with a mean of 6.2 and a CV of 21.4 (Table 2). Biomass was lower at Wellesbourne, ranging from 1.0 to 6.3 mg C kg1 (Fig. 1c) with a mean of 4.0 mg kg1 with a CV of 25.0 (Table 2). Dehydrogenase activity was also higher at Kirton relative to Wellesbourne, with mean values of 19.7 and 5.0 mg TPF g1 soil, respectively (Table 2). Variability of dehydrogenase activity was higher at Wellesbourne relative to Kirton, with CV of 31.0 and 27.6%, respectively. 3.2. Pesticide degradation 3. Results 3.1. Soil chemical and microbial characteristics Soil organic-C at Kirton ranged from 1.47 to 1.87% (Fig. 1a) with a mean of 1.60% and a CV of 6.9% 3.2.1. Degradation in sterile samples There was no measurable degradation of any of the compounds at either site, with recovery of pesticide added to the sterile soil ranging from 98.9 to 106.3% after 8 months. a. Organic-C b. pH 8.5 2.5 8.0 1.5 K 7.5 K W pH % Organic-C 2.0 7.0 W 1.0 6.5 0.5 6.0 0.0 5.5 c. Biomass d. Dehydrogenase 10 35 30 6 4 K W µg TPF g-1 soil mg kg-1 soil 8 25 20 K 15 10 2 5 0 W 0 Fig. 1. Box and whisker plot showing distribution of soil chemical and microbial properties at Kirton (K) and Wellesbourne (W). Line within box represents median; top and bottom box boundaries represent 75th and 25th percentiles, respectively; error bars indicate 90th and 10th percentiles. 283 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 Table 2 Soil chemical and biological characteristics at Asplands 2 field, Kirton and Long Close field, Wellesbourne 120 Parameter 100 Wellesbourne Average % Coefficient Average % Coefficient of variation of variation Organic-C (%) 1.60 pH 7.8 Biomass-C 6.2 (mg kg1 soil) Dehydrogenase 19.7 (mg TPFa g1 soil) a 6.9 2.5 21.4 1.37 6.8 4.0 20.0 6.2 25.0 27.6 5.0 31.0 Extractable isoproturon (as % applied) Kirton a. Kirton 80 60 40 20 Triphenyl formazen. 0 0 5 10 15 20 25 Time (weeks) b. Wellesbourne 120 100 Extractable isoproturon (as % applied) 3.2.2. Pesticide degradation Degradation of isoproturon in most soil samples from Kirton showed kinetics typical of growth-linked metabolism, with a lag phase which lasted for between 8 and 18 weeks, followed by a period of rapid degradation (Fig. 2a). Several samples showed an exponential, with no change in the rate of decline over time. Such degradation kinetics are usually referred to as cometabolic degradation, and indicate that those organisms responsible do not proliferate during degradation (Torstensson, 1980). After 22 weeks, amounts of isoproturon remaining varied from 1.4 to 7.6% of the amount applied (Fig. 2b). At Wellesbourne, degradation was extremely rapid in all samples. Most samples showed no lag phase before a period of exponential decline. However, several samples showed a lag phase of up to 18 d before a phase of rapid exponential decline. After 74 d, amounts of residual isoproturon ranged between 0.6 and 10.7% of the amount applied. Isoproturon was degraded faster in Wellesbourne soil than from Kirton, with DT25 of 0.56 and 4.4 weeks, respectively (Table 3). Variation in DT25 was higher at Wellesbourne than Kirton, with ranges of 0.34e1.16 and 2.51e7.18 weeks, respectively (Fig. 5a) with CV of 39.34 and 29.95%, respectively (Table 3). Degradation of azoxystrobin showed cometabolic degradation, with no change in the rate of decline over time at either site (Fig. 3a,b). After 8 months, the amount of azoxystrobin remaining ranged from 15.4 to 50.9% at Wellesbourne, and between 29.9 and 49.3% at Kirton. The average degradation rate was higher at Wellesbourne relative to Kirton, with DT25 of 10.5 and 12.8 weeks, respectively (Table 3). However, the range of DT25 was higher at Wellesbourne than Kirton (Fig. 5b), with DT25 of 5.6e17.2 and 8.7e15.7 weeks, respectively (Fig. 5b). CV for DT25 was 26.1 and 14.4% at Wellesbourne and Kirton, respectively (Table 3). Diflufenican was degraded very slowly in soil from both locations, with no change in the rate of degradation over time (Fig. 4a,b). The herbicide was degraded at almost the same rate in the two soils. After 28 weeks, average amounts of diflufenican remaining were 73.6 and 72.8% 80 60 40 20 0 0 20 40 60 80 Time (days) Fig. 2. Isoproturon degradation. (a) Kirton: , average of 40 samples; ;, sample showing lag phase of 8 weeks prior to phase of rapid degradation; :, sample showing lag phase of 14 weeks before period of rapid degradation; -, sample showing no period of rapid degradation. Bars represent G standard error of the mean. (b) Wellesbourne: , average of 40 samples; ;, sample showing lag phase of 18 days prior to phase of rapid degradation; :, sample showing no lag phase prior to period of rapid degradation. of the amount added in the Kirton and Wellesbourne soils, respectively. The average DT25 was 29.5 weeks in the Kirton and Wellesbourne soils (Table 3). The range of DT25 was 13.0e60.6 weeks at Kirton and from 13.0 to 106.0 weeks at Wellesbourne (Fig. 5b). However, the highest DT25 at Wellesbourne was almost twice that of the Table 3 Pesticide DT25 in soil from Asplands 2 field, Kirton and Long Close field, Wellesbourne Pesticide Isoproturon Azoxystrobin Diflufenican Kirton Wellesbourne Average DT25 (weeks) % Coefficient of variation Average DT25 (weeks) % Coefficient of variation 4.40 12.76 29.49 29.95 14.40 34.62 0.56 10.51 29.45 39.34 26.14 55.88 284 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 a. Kirton a. Kirton 110 100 Extractable diflufenican (as % applied) Extractable azoxystrobin (as % applied) 100 90 80 70 60 50 80 60 40 40 30 20 0 10 20 30 40 0 5 10 15 20 Time (weeks) Time (weeks) b. Wellesbourne b. Wellesbourne 25 30 35 110 100 Extractable diflufenican (as % applied) Extractable azoxystrobin (as % applied) 100 90 80 70 60 50 80 60 40 40 30 0 10 20 30 40 Time (weeks) 20 0 5 10 15 20 25 30 Time (weeks) Fig. 3. Azoxystrobin degradation. Bars represent G standard error of the mean. Fig. 4. Diflufenican degradation. Bars represent G standard error of the mean. second highest value (56.8 weeks). Variability was higher at Wellesbourne than Kirton with CV of 55.9 and 34.6%, respectively (Table 3). the soil solution of 1.05e1.18 in Wellesbourne soil, and 1.24e1.40% of the total remaining in Kirton soil (Table 4). After 8 months, amounts of azoxystrobin in the soil solution had declined to 0.56 and 0.74% of the amount remaining in Wellesbourne and Kirton soil, respectively. 3.2.3. Variability in DT25 attributed to technical error and model lack of fit Variability in pesticide recovery resulting from technical error associated with soil sampling and residue analysis, and model lack of fit, accounted for 22.2 and 25.8% of the variability in isoproturon DT25 at Kirton and Wellesbourne, respectively. For azoxystrobin, technical error and model lack of fit accounted for 5.2 and 24.6% of the variability in DT25 at Kirton and Wellesbourne, respectively. However, in the case of diflufenican, technical error and model lack of fit could account for 97.0 and 93.4% of the variability in DT25 at the Kirton and Wellesbourne sites, respectively. 3.3. Azoxystrobin sorption Sorption of azoxystrobin remained constant over the first month following addition, with average amounts in 3.4. Relationships between pesticide degradation and soil characteristics At Kirton, soil pH was significantly correlated with DT25 for azoxystrobin (rZ0.38, P!0.05). At Wellesbourne, DT25 of azoxystrobin was correlated with soil pH (rZ0.65, P!0.001), organic C (rZ0.42, P!0.01) and organic N (rZ0.39, P!0.05). Regression analysis indicated that each unit increase in pH gave a reduction in time to DT25 of 4.25 (SE mean 0.808) and 3.6 (SE mean 1.43) weeks at Wellesbourne and Kirton, respectively. There were no significant correlations between DT25 of the other pesticides and the soil parameters. In soil from Wellesbourne, the % of azoxystrobin residues in the soil solution was significantly correlated 285 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 a. Isoproturon b. Azoxystrobin 20 8 18 16 DT 25 (weeks) DT 25 (weeks) 6 K 4 14 K 12 10 W 8 6 2 4 2 W 0 0 c. Diflufenican 120 DT 25 (weeks) 100 80 60 40 K W 20 0 Fig. 5. Box and whisker plot showing distribution of DT25 values at Kirton (K) and Wellesbourne (W). Box structure as described in Fig. 1. with pH after 0 and 1 month following addition (rZ0.61 and 0.84, respectively, significant at P!0.05 and 0.01, respectively) and with % organic C after 1 month only (rZ0.63, P!0.05). DT25 was significantly correlated with % azoxystrobin residues in the soil solution after 0 and 1 month (rZ0.81 and 0.83, respectively, P!0.01). There were no significant relationships between any of these parameters in soil from Kirton. 4. Discussion Variability in degradation differed between the pesticides and between sites. Several previous studies using Table 4 Percentage of total azoxystrobin residues in the water extractable fraction in soil from Asplands 2 field, Kirton and Long Close field, Wellesbourne, immediately following addition to soil, and after 1 and 8 months from application Site % azoxystrobin in soil solution Time 0 1 month 8 months Wellesbourne Kirton 1.05 (0.10) 1.24 (0.11) 1.18 (0.08) 1.40 (0.04) 0.56 (0.05) 0.74 (0.05) Figures in parentheses give G standard error of the mean. readily degraded pesticides with low persistence have demonstrated significant within-field variability in degradation rates, with CV of pesticide DT50 between 7 and 49% recorded (Walker and Brown, 1983; Parkin and Shelton, 1992; Walker et al., 2001a,b). The variability shown in our study, in which CV varied between 14.4 and 55.9%, is in the same range as that in the previous studies. Massey and Lenoir (2003) suggested that withinsite variability in pesticide dissipation can arise from variability in application, soil sampling and sample analysis in addition to variability caused by factors affecting biotic and abiotic degradation processes. We determined combined CV associated with the technical errors associated with bottle sampling and pesticide residue analysis, and model lack of fit during derivation of DT25 values, which was found to vary according to site and pesticide. For isoproturon and azoxystrobin, these sources of error could account for between 5 and 25.8% of the total variability, indicating that most of the variability in degradation rates within the fields could be accounted for by variation in the biotic processes associated with pesticide biodegradation. However for diflufenican, technical errors and model lack of fit contributed between 93.4 and 97.0% of the variability, suggesting that very little of the variation in degradation 286 G.D. Bending et al. / Environmental Pollution 139 (2006) 279e287 rates across the fields could be attributed to variation in biotic degradation processes. The % CV for pesticide degradation at Kirton was lower than at Wellesbourne, in which variation in the major soil and microbial properties was higher, suggesting that variability in pesticide degradation rates was linked to variability in soil properties. However, with the exception of azoxystrobin, there were no clear relationships between the variation in soil properties and pesticide degradation. Azoxystrobin degradation was strongly linked to pH, with a stronger relationship at Wellesbourne, where there was a 2 unit variation in pH, than at Kirton where there was only a 1 unit variation in pH. The degradation rate of several pesticides has been found to be related to pH. In a study of Canadian and French soils, Houot et al. (2000) found that soils with a pH over 6.5 typically showed growth-linked metabolism of atrazine and those with pH lower than 6.5 showed slower cometabolic degradation. Further, Bending et al. (2003) showed that pH was a key factor controlling the induction of growth-linked metabolism of isoproturon, and thereby spatial patterns of degradation within a field. In the current study, azoxystrobin degradation occurred by cometabolism. Soil pH is known to play a key role in controlling the structure of soil microbial communities, including the fungus:bacteria ratio and the distribution of functional and taxonomic groups (Baath and Anderson, 2003). The identity and characteristics of organisms contributing to cometabolic pesticide metabolism are unclear, and it is therefore uncertain whether the regulation of azoxystrobin degradation by pH reflects impacts of pH on the size or activity of azoxystrobin degrading organisms. Additionally, pH is known to affect the extent to which some pesticides sorb to soil organic matter, and therefore to determine the bioavailability of such pesticides to the degradative community. There is currently uncertainty as to how to quantify the bioavailability of xenobiotics in soil. The amount of total pesticide residues extractable in water may represent a portion of the bioavailable fraction but does not provide a measure of the total bioavailable fraction (Reid et al., 2000). Our results indicate that in soil from Wellesbourne, azoxystrobin sorption was related to pH, with sorption decreasing as pH declined. This was unexpected, since azoxystrobin is not an ionic pesticide. Further, there was a strong correlation between azoxystrobin sorption and DT25, with degradation rate decreasing as sorption increased. This suggests that pH induced differences in pesticide bioavailability could have had a role in controlling the degradation rate of azoxystrobin. There was no relationship between isoproturon degradation and pH at Kirton or Wellesbourne. Isoproturon degradation has been studied extensively in the field Deep Slade, which is next to Long Close, Wellesbourne. Deep Slade field has a pH gradient identical to that in Long Close, and the two fields have the same soil type, and similar cropping and isoproturon application histories. However, a number of studies have shown clear associations between isoproturon DT50 and pH in Deep Slade (Walker et al., 2001a; Price et al., 2001; Bending et al., 2003). In these previous studies, sites within the field showing slow degradation of the compound were associated either with cometabolic degradation, or an extended phase of cometabolic degradation prior to a period of rapid degradation. This was attributed to direct effects of soil pH on the growth of isoproturon degrading strains of Sphingomonas spp. (Bending et al., 2003), with pH over 7.0 required for rapid degradation. However, rapid growth-linked metabolism was recorded in some low pH sites. In the current study, all sites within Long Close showed rapid degradation, and there were no extended periods of cometabolic degradation in any samples. Comparisons between the Long Close and Deep Slade fields highlight the problems in extrapolating the characteristics of degradation processes to different geographical locations. Diflufenican was highly persistent in the soils studied, with the extrapolated average DT50 in excess of a year in most soil samples. Previous studies of diflufenican metabolism in field experiments have found lower persistence than in our study, with DT50 ranging between 14 and 215 days (Rouchard et al., 1994; Rouchard et al., 2000; Conte et al., 1998). However, pesticide degradation in the field can occur more rapidly than in laboratory experiments (Bromillow et al., 1999; Muller et al., 2003). Despite a history of diflufenican application at the Wellesbourne site, the kinetics of degradation indicated that there had been no growthlinked metabolism of the compound. Similarly, Conte et al. (1998) and Rouchard et al. (1999) found no growth-linked metabolism of diflufenican despite repeated application at the same site for up to 4 years. 5. Conclusions This study has shown that within single fields there can be significant spatial variability in the degradation rate of pesticides. This has implications for the potential for pesticides to leach from soil and contaminate ground- and surface-water, and to accumulate within agricultural soil following repeated year-on-year application. However, technical errors associated with sampling and analysis and model lack of fit can make a significant contribution to measured within-field variability in pesticide degradation, and clearly need to be measured in studies which assess spatial variability in pesticide fate. 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