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Accumulation of soil carbon under zero tillage cropping and perennial vegetation on the Liverpool Plains, eastern Australia.


The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC 2007) states unequivocally that the earth's climate is changing and that this change is strongly associated with human activity. Because of concern regarding greenhouse gas (GHG) emissions, considerable effort is now being focused both nationally and internationally on strategies that reduce GHG emissions or sequester additional atmospheric carbon. Total GHG emissions in Australia were estimated to be 576 Mt C[O.sub.2]e (equivalents) in 2006 (Department of Climate Change 2008), to which agriculture contributed ~90.1 Mt C[O.sub.2]e (16%). Therefore, considerable scientific attention has been focused on this sector to identify management approaches that reduce net emissions. One area of potential is the modification of cropping practices to increase soil carbon storage.

Of all soil constituents, organic matter suffers most from cultivation of cropping land in Australia (Dalal and Mayer 1986). Reports from the USA (Lal et al. 2003; Johnson et al. 2005; Franzluebbers 2005), South America (Diekow et al. 2005; Bayer et al. 2006; Zanatta et al. 2007), and Europe (Smith et al. 1998) show that adoption of zero tillage (which includes stubble retention usually in combination with other practices such as fertiliser addition and sometimes the growing of cover crops) in annual cropping systems has the potential to accumulate total soil carbon stocks ([C.sub.S]) at rates of up to 400 kg/ha.year. However, there is little evidence for this in the Australian literature (Dalal and Chan 2001; Chan et al. 2003; Wang et al. 2004). Most Australian work in this area suggests that a phase of perennial pasture is needed to make net additions to [C.sub.S] (Holford 1981; Dalal et al. 1995; Young et al. 2005) while improved management of cropping systems only reduces the rate of decline in [C.sub.S] (Dalal et al. 1995; Dalal and Chan 2001; Heenan et al. 2004; Wilson et al. 2008).

Although differences in carbon levels between fallow management practices on Vertosols have been reported in favour of zero tillage, these differences have not been large and were dependent on the application of zero tillage, stubble retention, and nitrogen fertilisers (Dalal 1989; Dalal et al. 1995; Wang et al. 2004). On a coarse-textured soil in semi-arid central western New South Wales (NSW), of all management combinations, only the addition of fertiliser nitrogen to continuous wheat over 15 years resulted in a small (+0.03%) but significant increase in [C.sub.S] compared with the control treatment (Fettell and Gill 1995). However, serial measurements on a carbon-depleted Vertosol in south-eastern Queensland over 6 years showed no significant trends either up or down in [C.sub.S] under either conventional or zero tillage (Dalal et al. 1995). Although replacement of native woodland with traditional cultivation and annual cropping has invariably led to large declines in soil carbon (Dalal and Mayer 1986), replacement with perennial pastures does not guarantee an accumulation to pre-clearing soil carbon levels (Young et al. 2005).

Where comparisons have been made on carbon-rich soils, the rate of soil carbon depletion under reduced or zero tillage was typically found to be significantly lower than that under conventional tillage systems (e.g. Heenan et al. 2004, 1995). Conversely, we would expect that the rate of accumulation of [C.sub.S] would be greater in carbon-depleted soils than in carbon-rich soils and that the greatest efficiency in soil carbon sequestration will be in soils furthest from carbon saturation or equilibrium levels (Stewart et al. 2007).

Reports relating to soil carbon typically have measures over 1 or 2 years and, usually, some time after the application of tillage treatments (Dalal 1989; Fettell and Gill 1995; Wang et al. 2004). Although informative, such comparisons between management practices reflect only the differences in [C.sub.S] at the time of sampling; without equally precise sampling over time from when treatments were first applied, we cannot deduce rates of loss or accumulation of [C.sub.S]. Only if many decades of traditional cropping precede the comparison might it be reasonable to assume that the traditional or conventional treatment is at equilibrium and has remained unchanged (Follett 2001).

Australian assessments of carbon flux in annual cropping systems, whether in Mediterranean, temperate, or subtropical regions, have centred almost exclusively on winter cropping. Research (Ringrose-Voase et al. 2003; Paydar et al. 2005) on the Liverpool Plains has demonstrated that the higher cropping frequencies characteristic of zero-tillage response cropping mimics the hydrologic stability of perennial systems and reduces deep drainage below the root-zone to small amounts.

Here, we test the supposition that the higher cropping frequency and productivity of zero-tillage response cropping systems, where both summer and winter crops are grown depending on plant-available soil water, may yield positive fluxes in soil carbon. We report a longitudinal comparison of the changes in soil carbon under several zero-tillage cropping systems and perennial pastures in a medium-term (August 1994-May 2000) replicated field experiment (described by Ringrose-Voase et al. 2003 and Paydar et al. 2005). In addition, nearby farmers' paddocks, originally sampled in 1998-2000 (Young et al. 2005), where continuous zero tillage cropping was ongoing and traditional cropping practices were replaced with zero tillage and where perennial pastures were replaced with zero tillage cropping, were resampled in 2007 to provide [C.sub.S] data to verify the results of the field experiment.


Cropping and pasture systems experiment

The cropping and pasture systems experiment was established in August 1994 on the farming property 'Hudson' located in the foothills of the Liverpool Ranges (31.75[degrees]S, 150.45[degrees]E; average annual rainfall 684 mm with some summer dominance, average annual pan evaporation 1718 mm) (Ringrose-Voase et al. 2003). The experiment spanned 2 interbank areas in the middle of a hillslope of 3-4% overlying Miocene basalt (a Lever Gully soil landscape; Banks 1998). The surface soil was self-mulching and the profile to around 1 m depth was colluvial material with 75-80% clay, of which 90% was smectite. This was overlying >5 m of brown clay and variable amounts of caliche. The profile was classified as an Endocalcareous, self- mulching, Black Vertosol, non-gravelly, very fine/very fine, giant (Isbell 1996). These soils have characteristically high plant-available water-holding capacities of ~250 mm for annual crops, which, for crops planted into a soil profile at close to field capacity, provides a significant buffer against the erratic occurrence of rainfall. Before cultivation, the hillslope had been perennial grassland for >50 years, with a total soil carbon concentration ([C.sub.C]) of ~30-40g/kg (0-0.1 m), determined from an adjacent grassed waterway (there is virtually no carbonate carbon present in the surface layers of soils on the mid-slopes of these basaltic landscapes; Young et al. 2005). After 22 years of continuous cultivation and cropping, the site was lower in [C.sub.C] (~15 g/kg). Apart from nutrient deficiencies (N, P, S, Zn) corrected before and early in the experiment, there were no further edaphic constraints apparent (including salinity and sodicity) to plant growth.

Experimental design

The experimental design consisted of 9 treatments, which differed in the type and residence times of vegetation (residence time (days) was the period of time when established, live plants were present):

Three long fallow (LF) rotations of spring wheat (Triticum aestivum) and grain sorghum (Sorghum bicolor) (~25% crop residence time). The 3 long fallow rotations (LF1, LF2, LF3) were set up so that wheat and sorghum were planted each winter and summer respectively.

Continuous, or short fallow, winter cereal (T. aestivum-Hordeum vulgate) (40% residence time, W).

Two opportunity, or response, cropping treatments (50-70% residence time): winter cereal (T. aestivum--H, vulgare)--mung bean (Vigna radiata) (RC1); grain sorghum (S. bicolor)--winter pulse (chick pea, Cicer arietinum, in 1995 and 1998, field pea, Pisum sativum, in 1996) (RC2). Both were planted using a planting rule of 0.5 m of wet soil measured with a push probe. The RC2 treatment was slowly transformed into continuous sorghum after partial failure of all but the first chickpea crop due to disease.

Three perennial pasture treatments (~90% residence time): lucerne (Medicago sativa cv. Aurora) (P1); lucerne and phalaris (Phalaris aquatica cv. Sirolan) mixture (P2); Bambatsi panic (Panicum coloratura var. makarikariense cv. Bambatsi), Wallaby grass (Austrodanthonia linkii cv. Bunderm), and Queensland bluegrass (Dichanthium sericeum local ecotype) mixture (P3).

Treatment plots were 40 by 16 m, arranged in 4 replicate blocks of 9, two in each interbank area.

Crop management

All crops were planted using zero tillage machines. Crop residues were retained and weeds were controlled with chemicals or removed by hand. Zinc was applied (15 kg Zn/ ha) as zinc sulfate heptahydrate solution in August 1994. Phosphorus (10 kgP/ha) was applied to all crops at planting, as Triphos (1.4% S) in 1995 and 1996, but after sulfur (S) deficiency was observed in mungbean, as single superphosphate (9% P, 11% S) in the remaining years. Nitrogen (N, as urea) was applied between planting rows to grass crops at sowing. LF sorghum received 80 kg/ha, LF and short fallow (W) winter cereal 100 kg/ha, and RC2 sorghum and RC1 winter cereal 60-80 kg/ha. All perennial pastures received an annual topdressing of single superphosphate at 250 kg/ha. The perennial grasses were also topdressed with N as ammonium nitrate at 50 kg/ha.year.

Pasture biomass was measured 3-5 times each year (quadrat harvests) followed by cutting and removing all but 200-500 kg/ha of the aerial biomass.

Plant growth and water use

Plant growth and water use of all systems were measured intensively and are described elsewhere (Ringrose-Voase et al. 2003). Briefly, all winter and summer crops with at least 1 season of fallow (long and short fallow) were planted at, or close to, the times recommended for the chosen varieties. The 0.5 m of wet soil planting rule dictated that crops in response cropping treatments were planted in all seasons except the dry autumn--winter of 1997. Sorghum--chickpea response cropping was marred by the failure of all but the first chickpea crop due to viral disease.

Soil sampling, total carbon, and bulk density

Soil from each plot was sampled biannually. Two separate 43-mm-diameter cores, located using a predetermined grid, were taken and cut into 0-0.1, 0.1-0.2, 0.2-0.4 ... 2.8-3.0 m increments. In addition, 20 randomly sampled, 20-mm-diameter surface cores of 0.1 m depth were taken and bulked within each plot. Samples were dried (forced draught oven dry at 40[degrees]C, [greater than or equal to] 72h) on the day of sampling, ground to <2 mm, and stored in 120-mL specimen containers.

Total carbon concentration ([C.sub.C], g/kg) was determined by Dumas combustion where samples were oxidised in a vario MAX CN elemental analyser (Elementar Analysensysteme GmbH, Germany) with controlled oxygen supply at high temperatures (~900[degrees]C) using copper oxide and platinised catalyst (in-house method 630, issued 1 December 2006, NSW Department of Primary Industries, Environmental Laboratory, Wollongbar NSW).

Some bias in C results from individual core samples was apparent and appeared to be associated with the order of processing in the laboratory; this effect was exacerbated by the low values of [C.sub.C] (~14g/kg) relative to the Laboratory's routine LOR of 0.2%. Although this variation was within the LOR and would have been acceptable for most other purposes, it had some effect on regressions of [C.sub.C] over time in this dataset. Therefore, [C.sub.C] data from the depth increments 0-0.1, 0.1-0.2, 0.2-0.4m were analysed after adjustment of each value using the concentration measured at 0.4-0.6 m depth for that core sample (samples from individual cores were processed consecutively in the laboratory). The value for each of the shallower depths for each core was adjusted by dividing by the 0.4-0.6 m value for that core and then multiplying by the mean of all 0.4-0.6 m values. As far as we could ascertain, there were no differences between treatments [C.sub.C] at this depth.

Data analysis

The bulk density ([[rho].sub.b], Mg/[m.sup.3]) values used to calculate carbon stocks ([C.sub.S], Mg/ha) in the Hudson experiment were those of a reference profile (Ellert and Bettany 1995; Wang et al. 2004) at the drained upper limit (DUL), determined on the site (Ringrose-Voase et al. 2003). These were 1.00, 1.13, 1.11, and 1.12 Mg/[m.sup.3] for 0-0.l, 0.1-0.2, 0.2-0.4, 0.4-0.6 m, respectively(the slightly larger value at 0.1-0.2 m was probably due to compaction after many years of traditional farming). These Vertosols have marked shrink/swell characteristics due to the high content (~70%) of smectite clay minerals (Kirby et al. 2003). Consequently, [[rho].sub.b] changes with moisture content ([[theta].sub.g]), which can be different between sampling times and experimental treatments. (On the Hudson experiment there was no evidence of changes in [[rho].sub.b] due to treatment effects that were independent of [[theta].sub.g]). The size of the error is such that if a Vertosol were sampled when dried to the crop lower limit (CLL where [[rho].sub.b] = l.21) and soon after when almost wet ([[theta].sub.g] = 45%, [[rho].sub.b] = l.14), and [C.sub.S] was estimated simply by the product of [C.sub.C] and [[rho].sub.b], the difference in the estimated [C.sub.S] values for the soil when dry and when wet would be ~5%. The use of a reference profile with a constant soil mass in each layer avoids this error in the estimations of [C.sub.S].

In addition, when estimating [C.sub.C] in Vertosols of different water contents at fixed depth increments (say 0-0.05 or 0-0.1 m, etc.), a small error is introduced when samples are taken from a dry soil compared with those taken from the same soil when it is wet. This occurs because a greater mass of soil material is sampled from each fixed depth increment of the dry soil, which has shrunk vertically (and horizontally) during drying, compared with the same soil when wet. For [C.sub.C], which is usually larger in any soil layer than in the layer below, fixed depth sampling from a shrunken dry soil, compared with a swollen wet soil, will result in dilution of what was (for the wet and swollen soil) a carbon-rich surface layer, with soil from the layer below. The [[rho].sub.b] of soil dried to near the CLL is ~6% greater than that of a wet profile (bulk density calculations from Gardner 1988). The samples from the Hudson experiment were, by necessity, taken when the surface layers were, to some extent, dry and ranged in [[theta].sub.g] by up to 12% between sampling times and experimental treatments. Over this range, [[rho].sub.b] changed by ~0.07 resulting in shrinkage of a 100-mm soil layer by ~5 mm. Compared with a 0-0.1 m sample taken when [[theta].sub.g] was, for example, 45%, a fixed 0-0.1 m sample taken when [[theta].sub.g] is at CLL (33%) will contain 5 mm from the next layer down. Compared with the same sample with [[theta].sub.g] of 45%, [C.sub.C] will have become diluted in proportion to the rate of decline in [C.sub.C] with depth. At 0.1 m depth, the greatest rate of change in C concentration ([C.sub.C]) with depth, which was that found under perennial pastures, was ~0.06 g/kg less for each mm of depth just below 0.1 m. That is, a dry, compared with a wet, soil surface 0-0.1 m will have [C.sub.C] reduced by 0.9%. This error was deemed small, and to reduce complexity, was ignored.

The carbon data were analysed using the statistical software package ASReml (Gilmour et al. 2006), which fits linear mixed models by Residual Maximum Likelihood. The cubic smoothing spline approach of Verbyla et al. (1999) was used to model the changes in carbon over time. This approach partitions the response into 2 components, a linear trend and a smooth non-linear trend about the linear component. Treatment (cropping system, pasture type), time (days), and their interaction are fixed terms in the model allowing the prediction of intercepts and slopes for each treatment. A spline term fitted as a random term in the model estimates the overall smooth linear trend and a treatment spline interaction allows the estimation of a smooth non-linear trend for each treatment. A random term to account for replicate effects at each sampling time, and random terms to account for variation due to plot differences, were also included. The significance level for all tests was P = 0.05.

Resampling of farm paddocks

The Yarramanbah Creek and Big Jacks Creek sites (Young et al. 2005), sampled in March 1998 and January 2000, respectively, were resampled in May 2007. These were located on Black Vertosols (Isbell 1996) situated within gently inclined (<2% slope) alluvial fans of the Windy Creek landscape grouping (Banks 1998). On both sites, nearby paddocks and cropping strips were sampled. These had a history of (a) >30 years of continuous cropping with zero tillage, practised at the former from 2000 and at the latter from around 1992; (b) ~5 years of traditional cropping followed by ~10 years of lucerne-based pasture which was replaced by zero tillage cropping in 2000 that continued until sampling in 2007; (c) remnant native vegetation (grassy woodland) that was intermittently grazed.

From 2000 to 2007, wheat, barley, pulses, and grain sorghum were grown at both sites. Cropping frequency was ~1 crop/year, nitrogen applications to winter cereals and grain sorghum were 100-115 kg/ha.year, and average aerial biomass yields were estimated to have been 8-11 t/ha.year (see Table 3).

In all, 175 cores were taken along the original transects, with 8-21 taken from each land-use at each site. Samples to 0.6 m depth were taken using a 1-m-long, 100-mm-diameter steel tube fitted with a hardened cutting tip of 94 mm diameter pushed into the ground by a tractor mounted, hydraulically operated, coring machine. The location of each core was selected at random, but not in permanent wheel tracks ('tramlines'). Cores were taken successfully, irrespective of the presence or absence of cracks in the soil. Both live and dead herbaceous plants were cut level with the soil surface beforehand. Core contents were divided into dead unattached plant material (litter) and soil depth increments of 0-0.05, 0.05-0.1, 0.1-0.2, 0.2-0.4, 0.4-0.6 m. Below the surface, the sample included all plant crowns and roots except tree roots >2mm, which were accounted for when assessing above ground tree biomass (Young et al. 2005). In self-mulching soils, the soil surface is blurred with sometimes quite recent, fresh dead plant material mixed into the surface layers down to ~0.05 m. We separated such material (>5 mm long that had been incorporated into the surface 0-0.05 m by rain and the self-mulching action of the soil) from the soil and placed it in the litter sample. This separation required particular care in header trails on cropped land and under trees where fine plant residues had become incorporated into the surface layers. Bulk density ([[rho].sub.b]) at field soil water content was calculated directly from core dimensions, core wet and dry (40[degrees]C) weights, and subsample oven dry (105[degrees]C) moisture content.

Data analysis

As the original samples taken in 1998 and 2000 were in 0.2-m increments, [C.sub.C] and [C.sub.S] comparisons between sampling times were best made on 0.2-m increments. Each 0-0.2 m [C.sub.C] value for the 2007 samples was calculated from the values of the smaller increments within that depth range appropriately weighted for depth and bulk density ([[rho].sub.b]), such that it would be equivalent to a single bulked 0-0.2 m sample, comparable to the 1998-2000 samples.

For comparison between sampling times, [C.sub.S] data were calculated from [C.sub.C] data using [[rho].sub.b] from a reference profile at DUL. The reference profile was determined from the 2007 sample [[theta].sub.g] and [[rho].sub.b] data. Regressions of [[rho].sub.b]/[[theta].sub.g] were used to estimate [[rho].sub.b] at DUL for each depth increment. The water content at DUL for each depth layer was assumed to be that determined nearby on Hudson. As these field determinations of [[rho].sub.b] of Vertosols are dependent on the prevailing [[theta].sub.g] determined when samples were taken, the statistics reported here apply only to these [[rho].sub.b] values measured at their prevailing [[theta].sub.g] for a particular site and depth. The [[rho].sub.b] comparisons are therefore only approximate. The changes in [[rho].sub.b] values that might be encountered should soils have been wetter or dryer by, for example, [+ or -] 0.1g/g are theoretically (Gardner 1988) ~([+ or -] 0.05) Mg/[m.sup.3], i.e. a slope of -0.5; i.e., each [[rho].sub.b] value may vary within a range of ~0.1 Mg/[m.sup.3] depending on the prevailing [[theta].sub.g].

The [[rho].sub.b] at DUL in the 0-0.05 m layer measured under native vegetation was smaller (0.69Mg/[m.sup.3]) than that under cropping (0.80 Mg/[m.sup.3]) and was not affected by water content (slope [approximately equal to]0), whereas [[rho].sub.b] under cropping was affected (slopes [approximately equal to]-0.5). Therefore, this consistent difference in [[rho].sub.b] between cropped and never cropped land was incorporated into the calculation of the top layer of the reference profiles to avoid overestimation of [C.sub.S] under native vegetation. The [[rho].sub.b] values for the reference profiles were 0-0.2 m, 1.003 (cropping) and 0.977 (native vegetation); 0.2-0.4 m, 1.121; 0.4-0.6 m, 1.144.

Regression models were fitted to the carbon and bulk density data using the ASReml command in the ASReml-R software package (Butler et al. 2007). The [[rho].sub.b] data were analysed as univariate data using a repeated-measures approach. The fixed terms in the model were depth, site, land-use, and all interactions with field moisture content included as a covariate. Correlations between depths were modelled with a heterogeneous power structure. The [C.sub.C] data from the 2007 re-sampling were analysed as multivariate data with each depth taken to be a variable. These depth variables were correlated and the correlations were modelled with a series of covariance structures including uniform, power, antedependence, and unstructured, with an antedependence structure of order 1 being the most parsimonious. The fixed effects in the model were depth trait, site, land use, and all interactions. The comparison of [C.sub.S] data from the 1998-2000 initial sampling and the 2007 re-sampling were analysed in a similar way with the inclusion of date of sampling as a fixed effect.


Cropping and pasture systems experiment

The weather from 1994 to 2000 ranged from drought in 1994 to an extremely wet winter in 1998. Summer rainfall exceeded winter rainfall in 4 of 6 years, with the 1995-96 summer the wettest (Table 1). Average annual rainfall was 772 mm over the duration of the experiment, 12% greater than the long-term (40 years) average.

Crops planted after long or short fallow produced the most biomass and grain per crop but the sorghum--chickpea system produced the greatest average annual biomass. Perennial pastures consistently produced less biomass than annual crops except mungbean and chickpea (Table 1).

Average baseline [C.sub.S] determined from the bulked 0-0.1 m samples collected in August 1994 was 13.92 Mg/ha and values determined from individual cores sampled at that time were 13.74 (0-0.1 m), 12.64 (0.1-0.2 m), and 24.13 (0.2-0.4 m) Mg/ha using the reference profile bulk density ([[rho].sub.b]) values. There were no significant rates of change in total soil [C.sub.S] over time in the long fallow or continuous winter cereal cropping systems (Figs 1, 2) (Table 2). There was some evidence of increased [C.sub.S] under winter cereal-mung bean response cropping in the bulked (0-0.1 m) samples and in the 0.1-0.2 m core layer under sorghum winter pulse response cropping. These isolated trends in [C.sub.S] accumulation under intensive cropping were in contrast to the significant, consistent increases in [C.sub.S] under all 3 perennial pastures, down to 0.2-0.4 m under lucerne (Fig. 3, Table 2), even though aerial biomass had been removed with each harvest.

The bulk sample [C.sub.C] tended to be larger than core 0-0.1 m values from continuous winter cereal and winter cereal-mung bean response cropping especially. We have no explanation for this, except for the possibility that winter cereal residues were more carefully removed from core samples that were laid out on a bench compared with the bulked samples, which were inspected briefly for large pieces of residue.

Accumulated biomass yields (Table 1) from perennial pastures were similar, but less than all cropping systems. Winter cereal-mungbean response cropping, although showing evidence of [C.sub.S] accumulation in bulked 0-0.1 m samples but not the core samples, produced the lowest biomass of all the cropping systems. Despite having the largest aerial biomass productivity of all systems, the sorghum-chickpea response cropping treatment registered significant accumulation of [C.sub.S] accumulation only at the 0.1-0.2 m depth increment.


Over all crop and pasture systems on Hudson, there was an inverse relationship between annual aerial biomass yield and C accumulation rate (Fig. 4), suggesting that other processes (additions to soil C by roots and rhizodeposition, losses of C via root and microbial respiration) were occurring at different rates under different systems. Plant residence time had a stronger positive association with [C.sub.S]. The long residence time of sorghum-chickpea response cropping was due to the sorghum harvest being delayed until the crop was frosted, sometimes 1-2 months after grain fill. During this time the sorghum was alive but producing little biomass.

Resampling of farm paddocks

Bulk density ([[rho].sub.b]) at the prevailing field soil water content ([[theta].sub.g]) of soils from the paddocks sampled in May 2007 increased with depth from [less than or equal to] 1 near the surface to ~1.25 at 0.4-0.6 m depth (Fig. 5) and generally decreased with increasing [[theta].sub.g]. [Average field [[theta].sub.g] (0-0.2 m) was dry (33-35 g/g) and similar for all land uses at Yarramanbah Creek. At Big Jacks Creek, cropped areas tended to be moist (40 g/g) while soils under native vegetation were drier (30 g/g).] Depth, site, land use, and most interactions together with [[theta].sub.g] at sampling significantly affected [[rho].sub.b]. However, the significantly lower [[rho].sub.b] of surface layers under native vegetation compared with cropping soils was not responsive to moisture content within the range of [[theta].sub.g] encountered and so was treated as a land use effect independent of soil moisture content and was built into the reference profile for native vegetation.


The [C.sub.C] was largest in the surface soil under native vegetation and least at depth under Yarramanbah Creek cropping (Fig. 5). Overall, [C.sub.C] was less at Yarramanbah Creek than Big Jacks Creek. There was a well developed carbon profile under native vegetation with [C.sub.C] 6 times larger at the surface than at 0.4-0.6 m, whereas cropping and pasture returned to cropping at both sites showed depleted profiles, with [C.sub.C] at the surface barely twice that at depth.

Comparison of farm paddocks over time

There were no significant changes in [C.sub.S] over time under zero tillage cropping at either site on the commercial properties (Table 3), corroborating the results from the cropping systems on the Hudson experiment. Date of sampling and interactions of date with other fixed effects were not significant. Neither was there evidence of accumulation of [C.sub.S] under zero tillage cropping, or evidence of [C.sub.S] loss after zero tillage cropping of old pastures. [C.sub.S] at 0.4-0.6 m depth remained unchanged under all land uses at both sites, clearly justifying the use of 0.4-0.6 m data from the Hudson experiment to correct for laboratory drift.


These data suggest that dryland farmers on north-western NSW Vertosols, where annual rainfall <700 mm, cannot expect to accumulate soil carbon in continuously cropped land, even under zero tillage, at least within the short to medium term. The lack of accumulation of [C.sub.S] under cropping, either experimentally on Hudson or on a limited number of Liverpool Plains farms (including the highly productive Big Jacks Creek continuous cropping paddocks, which were 30% more productive than all the other paddocks and the Hudson experiment), agrees with reports from SE Queensland (Dalal et al. 1995), the Central Highlands of Queensland (Armstrong et al. 2003), and more generally in eastern Australia (Dalal and Chan 2001; Chan et al. 2003). All found that carbon sequestration under continuous zero tillage cropping was negligible.

The significant accumulation of [C.sub.S] under perennial pastures on Hudson and elsewhere (Dalal et al. 1995; Dalal and Chan 2001) indicates that soil carbon in cropping systems might be increased by inclusion of periods of perennial pasture in rotation with annual crops. Unchanged [C.sub.S] after conversion of pasture to zero tillage cropping on the nearby farm sites indicates that zero tillage cropping in this environment may at least conserve the [C.sub.S] accumulated under pasture. Therefore, a net accumulation of [C.sub.S] might occur under 5-6-year sequences of healthy perennial pasture in rotation with zero tillage cropping.

Despite our results and those from Queensland, there is nevertheless evidence in the literature for increased [C.sub.S] under zero tillage systems in Australia. For example, on a fertile red earth in south-eastern NSW, [C.sub.S] increased under a zero tillage wheat-subterreanean clover rotation and remained unchanged (~20 Mg/ha, 0-0.1 m) over 20 years under zero tillage wheat lupin (Heenan et al. 2004). This disparity might be explained by the relatively large wheat biomass yields (14.5 Mg/ha) realised in the south, together with other factors, such as the drier southern summers leading to lower rates of microbial respiration compared with summer rainfall environments.

We might expect that net accumulation of [C.sub.S] under zero tillage seasonal cropping would occur most rapidly in extremely carbon-depleted soils (Stewart et al. 2007) as suggested for parts of North America (Follett 2001). For example, if high rates of biomass production are achieved relative to losses of labile carbon due to respiration and erosion, it might be possible to increase total soil carbon. Carbon accumulation may also be possible with relatively modest rates of biomass production if a significant proportion of photosynthate is channelled below ground. However, there is scant evidence for such processes occurring in annual cropping systems in semi-arid eastern Australia. Even where Vertosols in Queensland were described as depleted ([C.sub.C] 6-7 g/kg) and had been under conventional cropping for many decades (Dalal and Mayer 1986; Dalal et al. 1995; Armstrong et al. 2003), accumulation of soil C was found only under perennial pastures, with none being observed under zero tillage cropping. Our apparently inverse relationship between aerial biomass production and rates of [C.sub.S] accumulation (Fig. 4a) suggests caution when making general comparisons of quite different systems. The effects of aerial biomass production appear to be less important than other factors, which were reasonably represented by residence time (Fig. 4b). This is illustrated by a simple carbon balance (Table 4) derived from Hudson data and reported shoot/root values (1/0.6; Johnson et al. 2006; Teixeira et al. 2008). In this analysis, cropping is characterised by large aerial, and hence root and rhizosphere, biomass C values. However, fallow periods, most likely, contributed to net losses of most (response cropping) or all (long and short fallow cropping) of labile residue and soil carbon. Although pastures yielded slightly less total C than crops, total residues were only about half those of crops, due to export of forage. The significant measured accumulation of C under pastures compared with cropping is shown in Table 4 as having been due to lower rates of C loss under pasture (below ground C was calculated in the same way for both crops and pastures as 60% of measured aerial C). Respiration losses may have been lower under perennial pastures due to their generally rapid response to rainfall in this environment, so keeping the soil profile much drier and for longer periods compared with soils under short and long fallow cropping sequences (Ringrose-Voase et al. 2003). In addition, larger rates of C accumulation as root and rhizosphere deposition (together with concomitantly larger rates of loss than those calculated in Table 4) in the surface layers of the soil may have occurred under pastures compared with cropping due to the restriction of most pasture root growth and rhizosphere activity to the intermittently moist surface layers. The high plant-available water-holding capacity of these Vertosols (100 mm in the 0-0.4 m depth layers) retains most rainfall near the soil surface when the soil is being continually dried by perennial vegetation. However, it is likely that root biomass forms a greater proportion of total perennial pasture biomass. For example, in southern Queensland (Dalal et al. 1995) pasture root mass, measured down to 1.5 m, was found to be double that of its aerial biomass, whereas wheat root biomass was only ~40% of total aerial biomass. Furthermore, the ability of pastures to sequester soil carbon may be due not only to the probably greater proportion of total biomass carbon as root carbon in perennial pastures compared with annual crops but also to the longer residence time in soil of that root carbon compared with shoot carbon (Rasse et al. 2005). The significant rates of accumulation of [C.sub.S] under perennial pastures, compared with annual crops with larger yields of aerial biomass, are most probably due to a combination of lower rates of loss of soil C, especially during dry periods, and deposition of larger proportions of photosynthate below ground during periods of growth.


The Vertosols studied here have distinctive characteristics, such as high clay content (75-80%) with a large proportion of smectite (90%) conferring considerable shrink-swell reactivity to changes in water content, which contributes to their generally high water-holding capacity and ability to recover from compaction. With appropriate management, cropped Vertosols with depleted nutrient and organic matter can be particularly productive in terms of biomass (Young et al. 2008) and therefore have the potential to accumulate soil carbon. Although studies in north-western NSW (Young et al. 2005; Wilson et al. 2008) on a range of soil types have demonstrated that the quantity of carbon stored in Vertosols typically exceeds that of lighter textured soils, the relative differences between land-uses follows the same trend across most soil types.

Internationally, there is considerable evidence for carbon accumulation under zero tillage. However, such results typically have been observed in climates that are moister and sometimes cooler than those of the rainfed cereal cropping areas of Australia. For example, in the warm, moist (average annual rainfall > 1000 mm) environment of south-eastern USA, conservation tillage is seen as an effective strategy to regain [C.sub.S] lost after decades, and sometimes centuries, of intensive tillage and erosion. Using traditional tillage as a baseline, tillage research in that region (Franzluebbers 2005) has shown an average rate of accumulation of [C.sub.S] with zero tillage of 0.42 Mg/ha.year over an average observation period of 10 years. By increasing cropping complexity (intensity and diversity) and adding N fertiliser, [C.sub.S] could be increased by ~0.25 Mg/ha.year, irrespective of tillage management. [C.sub.S] accumulation under old cropping land converted to forages was greater and averaged 1.0 Mg/ha over an average of 15 years. A similar picture is emerging from work in central Brazil (average annual rainfall >1000 mm) where the mean rate of [C.sub.S] accumulation under no-tillage summer cropping in tropical soils was estimated to be 0.35 Mg/ha.year over 4-20 years, whereas in southern Brazilian subtropical soils where both summer and winter cropping are practised, estimated mean [C.sub.S] accumulation was 0.48 Mg/ha.year over 9-22 years (Bayer et al. 2006). In the Brazilian environment, accumulation of surface [C.sub.S] under no-tillage may actually exceed that of the native Cerrado soils due to application of lime, mitigation of nutrient deficiencies, the addition of N, and the inclusion of winter legume cover crops (Diekow et al. 2005; Zanatta et al. 2007). However, without legume cover crops or regular N additions in tropical central Brazil, rates of [C.sub.S] depletion under zero tillage were 10 Mg/ha (0-1 m) over 20 years of a largely maize/soybean-winter fallow sequence but were 3-fold less than that under tillage (Jantalia et al. 2007).



The accumulation of [C.sub.S] in these warm, moist climates could be attributed to greater biomass addition and more frequent double cropping than is achievable in inland eastern Australian under rainfed conditions. Unfortunately, few data on crop production are reported where the focus was on soil carbon. In one exception (Bayer et al. 2006), significant accumulation of [C.sub.S] was reported under no-tillage summer cropping on previously intensely cultivated tropical soils in central Brazil where average annual residue addition was ~4 Mg/ha. This is less than we measured under continuous winter cereal or sorghum-chickpea response cropping (both ~5 Mg/ha.year) on Hudson.

In the 'corn belt' of moist temperate central USA (average annual rainfall 500-1300 mm, [C.sub.C] under original prairie grassland, 40 g/kg), the rate of storage of [C.sub.S] under no-tillage compared with traditional tillage has been significant but variable, averaging 0.4 Mg/ha.year over 15-30 years (Johnson et al. 2005). Where cropping land has been returned to perennial grass, the accumulation rate has been larger, 0.56 Mg/ha.year. The attributes of this environment, compared with the semi-arid cropping regions of eastern Australia, that permit a positive balance between primary production and net decomposition of carbon may be the synchrony of climatic conditions. Similar seasonal distribution of temperature and rainfall produce corn biomass of up to 20 Mg/ha, leaving residues of ~10 Mg/ha (considerably larger than the 5.4 Mg/ha required to maintain [C.sub.S] in that environment; Wilhelm et al. 2004), and cold winters reducing microbial respiration (Huggins et al. 1998). However, although losses of soil carbon due to respiration during winter fallow were generally low in colder, semi-arid Canadian (Franzluebbers and Arshad 1996; Deen and Kataki 2003) and moist Swiss (Hermle et al. 2008) environments, the rate of incorporation of crop residues into soil carbon was also low, producing an overall net loss of soil carbon under zero tillage.

It appears that under dryland cropping in much of eastern Australia, with the possible exception of some higher rainfall slopes regions (Heenan et al. 2004), either seasonal rainfall is insufficient to produce the required biomass, or microbial respiration too often exceeds carbon fixation due to warm and moist fallow periods, for net accumulation of [C.sub.S] under annual cropping. However, plant attributes may play a significant part in enhancing [C.sub.S] (De Deyn et al. 2008) and could be significant when conditions are marginal for net accumulation of [C.sub.S]. For example, there is significant accumulation of [C.sub.S] under Hudson pastures and in SE Queensland (Dalal et al. 1995) despite the removal of aerial biomass. An explanation for the accumulation of [C.sub.S] under the Hudson sorghum-chickpea (0.1-0.2m) might be the enhanced accumulation of [C.sub.S] from the symbiotic arbuscular mycorrhiza (Langley and Hungate 2003) associated with sorghum roots (Thompson 1987). Although aerial biomass of grain and pasture legumes was less than that of N fertilised grass species, [C.sub.S] under legumes may be enhanced by the channelling of photosynthate to the atmospheric N fixing symbiosis.


Current knowledge strongly suggests that dryland farmers in north-western NSW cannot expect to accumulate soil carbon in continuously cropped land within the short medium term. The inclusion of healthy perennial pastures in rotation with crops may assist in a slow net accumulation of carbon, although this has not been demonstrated over the medium to long-term. Some crop and pasture plants might have growth and symbiotic characteristics that could be used to enhance [C.sub.S] but this requires further work. For carbon trading purposes, woodland systems are likely to sequester more carbon than improved management of cropping systems. Although it has not been demonstrated that soil carbon accumulates under zero tillage cropping on Vertosols on the Liverpool Plains, the increased financial returns and soil and water conservation benefits from these much improved practices are now widely recognised.


We thank Robert and Edwina Duddy for making the site on 'Hudson' available for our work, and Neil Barwick, Brien Cobcroft, and James Badgery for access to their country. We thank Alison Bowman, Brendan George, Yin Chan, and 2 anonymous referees for very helpful comments on earlier drafts, Anthony Ringrose-Voase for his insightful comments on the bulk density calculations, and Ross McLeod and Wayne McPherson for their excellent work in the paddock and in the soil processing shed. This work was funded by a NSW Government Climate Action Grant (T06/CAG/003) made available to NSW Department of Primary Industries on the recommendation of the Namoi Catchment Management Authority. The field experiment and original sampling of farmers' paddocks was funded by a series of grants from GRDC, Salt Action and Land and Water Australia from 1993 to 2002.

Manuscript received 30 April 2008, accepted 2 December 2008


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R. R. Young (A,D), B. Wilson (B,C), S. Harden (A), and A. Bernardi (A)

(A) NSW Department of Primary Industries, Tamworth Agricultural Institute, 4 Marsden Park Road, Calala, NSW 2340, Australia.

(B) NSW Department Environment and Climate Change, PO Box U245, University of New England, Armidale, NSW 2351, Australia.

(C) School of Environmental and Rural Sciences, University of New England, Armidale, NSW 2351, Australia.

(D) Corresponding author. Email:
Table 1. Rainfall and seasonal aerial biomass yields of zero tillage
cropping systems and perennial pastures on the Hudson field experiment

Crop growing seasons are shown as summer (S) and winter (W); crops
or pastures were not grown in a fallow season (f); 30-50% of crop
biomass was removed as grain except where crops failed due to drought
in 1994 and viral diseases of winter pulses (biomass yields are
italicised). Pasture biomass was removed from the plots at each
harvest leaving 0.2-0.5 Mg/ha of stubble. Total residence time (days)
was the total of all periods when established, live plants were present

 Rainfall (mm):

 1994 1995

 W S W S
System 112 269 243 538

Long fallow wheat-sorghum
 Phase 1 0.5# f f 13.2
 Phase 2 f 10.5 f f
 Phase 3 f f 13.5 f

Short fallow winter cereal 0.4# f 13.8 f

Response cropping
 Winter cereal-mung bean 0.6# 3.1 5.3 2.5
 Sorghum-winter pulse f 11.3 2.5 9.4

Perennial pasture
 Lucerne f f 2.5 6.1
 Lucerne + phalaris f f 3.8 4.4
 C3+C4 grasses f Present 4.6 8.6

 Rainfall (mm):

 1996 1997

 W S W S
System 360 369 236 329

Long fallow wheat-sorghum
 Phase 1 f f 11.7 f
 Phase 2 12.7 f f 11.6
 Phase 3 f 12.2 f f

Short fallow winter cereal 9.9 f 11.7 f

Response cropping
 Winter cereal-mung bean 7.3 1.8 f 2.2
 Sorghum-winter pulse 0.4# 10.1 f 7.2

Perennial pasture
 Lucerne 1.6 5.5 0.8 1.0
 Lucerne + phalaris 1.9 5.6 0.9 l.0
 C3+C4 grasses 1.4 5.2 1.2 2.5

 Rainfall (mm):

 1998 1999

 W S W S
System 708 433 644 394

Long fallow wheat-sorghum
 Phase 1 f 13.3 f f
 Phase 2 f f 10.4 f
 Phase 3 11.1 f f 10.5

Short fallow winter cereal 8.8 f 9.9 f

Response cropping
 Winter cereal-mung bean 9.5 3.1 7.8 2.9
 Sorghum-winter pulse 1.4# 11.0 f 11.7

Perennial pasture
 Lucerne 4.5 1.7 5.2 2.3
 Lucerne + phalaris 4.5 2.2 f f
 C3+C4 grasses 4.4 1.7 0.4 3.6

 Total Av. aerial
 residence biomass
System time (days) (Mg/ha.year)

Long fallow wheat-sorghum
 Phase 1 470 6.45
 Phase 2 450 7.53
 Phase 3 580 7.88

Short fallow winter cereal 750 9.08

Response cropping
 Winter cereal-mung bean 1050 7.68
 Sorghum-winter pulse 1040 10.82

Perennial pasture
 Lucerne 1700 5.20
 Lucerne + phalaris 1340 4.86
 C3+C4 grasses 1820 5.60

(A) Young plants present but were not harvested.

Note: Biomass yields is indicated with #.

Table 2. Rates of change of soil carbon stocks under zero tillage
cropping systems and perennial pastures on the Hudson field experiment

Predicted value (PV) is the rate of change of soil carbon stock
([C.sub.s], Mg/ha.year). The standard error (s.e.) of each slope
shows that slope's difference from zero. The overall standard error
(s.e.d.) shows difference between slopes. PVs that are significantly
different from zero are bold. No slopes that were significantly from
zero were significantly different from each other

 0-0.1 m bulked 0-0.1 m core
 (n = 394) (n = 863)

System PV s.e. PV s.e.

Long fallow wheat-sorghum
 Phase 1 -0.094 0.078 0.024 0.141
 Phase 2 0.092 0.078 0.224 0.141
 Phase 3 0.050 0.077 -0.003 0.141
Short fallow winter cereal 0.048 0.078 0.122 0.141

Response cropping
 Winter cereal-mung bean 0.208# 0.082 0.099 0.141
 Sorghunrwinter pulse -0.054 0.078 0.082 0.141

Perennial pasture
 Luceme 0.191# 0.078 0.379# 0.141
 Luceme+phalaris 0.350# 0.079 0.407# 0.141
 C3 + C4 grasses 0.313# 0.078 0.484# 0.141

s.e.d. of system slopes 0.108 0.188

 0.1-0.2 m core 0.2-0.4 m core
 (n = 860) (n = 861)

System PV s.e. PV s.e.

Long fallow wheat-sorghum
 Phase 1 0.022 0.066 0.029 0.055
 Phase 2 0.020 0.066 0.023 0.055
 Phase 3 -0.010 0.066 0.042 0.055
Short fallow winter cereal 0.036 0.066 0.008 0.055

Response cropping
 Winter cereal-mung bean 0.003 0.066 0.092 0.055
 Sorghunrwinter pulse 0.134# 0.066 -0.001 0.055

Perennial pasture
 Luceme 0.286# 0.066 0.122# 0.055
 Luceme+phalaris 0.165# 0.066 0.046 0.055
 C3 + C4 grasses 0.147# 0.066 0.054 0.055

s.e.d. of system slopes 0.089 0.073

Note: PVs that are significantly different from zero is indicated
with #.

Table 3. No short-term changes in carbon stocks (CS, tlha) in
Liverpool Plains Vertosols under zero tillage cropping after
traditional cropping or perennial pasture

All site.landuse cells were a single farmer's paddock or block except
Big Jacks Creek continuous cropping, which consisted of 4 blocks with
similar histories; the dataset was derived from 175 cores with 8-21
cores/site.landuse cell. Aggregated Hudson data are shown for
comparison. Change from traditional to zero tillage cropping occurred
at Yarramanbah Creek around 2001 and at Big Jacks Creek from 1990 to
1994. Yamamanbah Creek pasture paddock was successfully sown to lucerne
in late 1980s after 7 years of cropping; Big Jacks Creek pasture
paddock successfully sown to lucerne and phalaris in 1991 after 3 years
of cropping; native vegetation was 1-2-ha remnants of grassy eucalypt
woodland. Between the times of sampling, winter cereal and grain
sorghum were grown at both sites, faba bean was grown in the
continuous cropping sequence at Big Jacks Creek in 2000 and at
Yamamanbah Creek in the 'old pasture' in 2006. Biomass (oven-dry
weight) was estimated from grain yield (assuming 12% moisture content)
assuming a harvest index of 45% for crops yielding <5 t/ha, 48% for
crops yielding >5 tMa (Young et al. 2008). Carbon stock (CS) was
calculated from concentration and reference profile BD (0-0.2 m, 1.003
(cropping) and 0.977 (native vegetation); 0.2-0.4 m, 1.121; 0.4-0.6 m,
1.144). Date of sampling and date interactions with site, land use,
and depth were not significant. Site, land use, depth, and their
interactions were significant

Site Land use (m)

Yarramanbah Native vegetation Intermittent 0-0.2
 Creek grazing 0.2-0.4
 Old pasture now cropped 1 0-0.2
 N application 100 0.2-0.4
 Biomass (Mg/ha.year) 8 0.4-0.6
 Continuous cropping 1 0-0.2
 N application 100 0.2-0.4
 Biomass (Mg/ha.year) 8 0.4-0.6

Big Jacks Native vegetation Intermittent 0-0.2
Creek grazing 0.2-0.4
 Old pasture now cropped 1 0-0.2
 N application 105 0.2-0.4
 Biomass (Mg/ha.year) 8 0.4-0.6
 Continuous cropping 1.1 0-0.2
 N application 115 0.2-0.4
 Biomass (Mg/ha.year) 11 0.4-0.6


 Continuous cropping 1 0-0.2
 N application 90 0.2-0.4
 Biomass (Mg/ha.year) 8
 Perennial pasture 5 0-0.2
 biomass (Mg/ha.year)
 N application to 50 0.2-0.4
 C3 + C4 grasses

Site Land use [C.sub.S] s.e.

Yarramanbah Native vegetation Intermittent 38.3 2.7
 Creek grazing 24.4 1.1
 20.5 1.2
 Old pasture now cropped 1 27.2 2.4
 N application 100 23.7 1.0
 Biomass (Mg/ha.year) 8 21.9 1.1
 Continuous cropping 1 18.3 2.2
 N application 100 18.9 0.9
 Biomass (Mg/ha.year) 8 18.9 1.0

Big Jacks Native vegetation Intermittent 57.5 3.1
Creek grazing 32.1 1.3
 29.9 1.4
 Old pasture now cropped 1 38.6 3.3
 N application 105 34.7 1.3
 Biomass (Mg/ha.year) 8 33.9 1.5
 Continuous cropping 1.1 31.7 2.2
 N application 115 31.4 0.9
 Biomass (Mg/ha.year) 11 31.4 1.0
 l.s.d. = 4.76

Hudson 1994

 Continuous cropping 1 26.5
 N application 90 24.2
 Biomass (Mg/ha.year) 8
 Perennial pasture 5 26.1
 biomass (Mg/ha.year)
 N application to 50 24.1
 C3 + C4 grasses
 May 2007

Site Land use [C.sub.S] s.e.

Yarramanbah Native vegetation Intermittent 50.2 2.1
 Creek grazing 27.0 0.8
 21.2 0.9
 Old pasture now cropped 1 28.5 2.3
 N application 100 22.9 0.9
 Biomass (Mg/ha.year) 8 22.5 1.0
 Continuous cropping 1 20.1 2.0
 N application 100 18.4 0.8
 Biomass (Mg/ha.year) 8 18.5 0.9

Big Jacks Native vegetation Intermittent 64.3 2.7
Creek grazing 31.2 1.1
 28.4 1.2
 Old pasture now cropped l 36.0 3.3
 N application 105 36.1 l.3
 Biomass (Mg/ha.year) 8 36.2 1.5
 Continuous cropping 1.1 30.2 2.2
 N application 115 30.9 0.9
 Biomass (Mg/ha.year) 11 32.2 1.0

Hudson 2000

 Continuous cropping 1 27.3
 N application 90 24.5
 (kg/ha * year)
 Biomass (Mg/ha * year) 8
 Perennial pasture 5 29.9
 biomass (Mg/ha * year)
 N application to 50 24.8
 C3 + C4 grasses

Table 4. Average annual carbon balance of zero tillage cropping
systems and perennial pastures on the Hudson field experiment

All data are rates of carbon flux expressed as t/ha.year. Measured
data are shown in regular font, derived data are italicised. Export
is harvested and removed grain C from crops and forage C from
pastures. Aerial residue of crops is final harvest total biomass C
less grain C; for pastures it is detached plant material on the soil
surface (litter). Pasture roots include crowns from which shoots
have been harvested (Teixeira et al. 2008). For calculation of
root and rhizosphere deposition, C in 0-03 m surface soil: shoot/root
1/0.6 (Johnson et al. 2006; a slightly larger value than that reported
for lucerne taproots (~1/0.5) by Teixeira et al. 2008); organic matter
40% C (Johnson et al. 2006)

System Total Export (E) residue (AR)
 yield (T)
Calculation: E + AR + RRD Measured

Long fallow 1 4.46# 1.27 1.52
Long fallow 2 5.26# 1.29 2.00
Long fallow 3 5.50# 1.23 2.20
Short fallow winter cereal 6.29# 1.45 2.48
Winter cereal-mung bean 5.29# 1.09 2.22
Sorghurr-winter pulse 7.52# 1.64 3.06
Lucerne 4.25# 2.50 0.16
Lucerne + phalaris 4.25# 2.43 0.23
C3 + C4 grasses 4.67# 2.69 0.23

 Roots +
System deposition Total
 (RRD) residue (TR)
Calculation: 0.6[E + AR] AR + RRD

Long fallow 1 1.67# 3.19#
Long fallow 2 1.97# 3.97#
Long fallow 3 2.06# 4.27#
Short fallow winter cereal 2.36# 4.83#
Winter cereal-mung bean 1.98# 4.20#
Sorghurr-winter pulse 2.82# 5.89#
Lucerne 1.59# 1.75#
Lucerne + phalaris 1.59# 1.82#
C3 + C4 grasses 1.75# 1.98#

System Loss 0-0.3 m soil
 (L) (NA)
Calculation: TR - NA Measured

Long fallow 1 3.19# 0.00
Long fallow 2 3.97# 0.00
Long fallow 3 4.27# 0.00
Short fallow winter cereal 4.83# 0.00
Winter cereal-mung bean 4.10# 0.10
Sorghurr-winter pulse 5.76# 0.13
Lucerne 1.06# 0.69
Lucerne + phalaris 1.27# 0.54
C3 + C4 grasses 1.43# 0.55

Note: Derived data is indicated with #.
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Article Details
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Author:Young, R.R.; Wilson, B.; Harden, S.; Bernardi, A.
Publication:Australian Journal of Soil Research
Article Type:Report
Geographic Code:8AUST
Date:May 1, 2009
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