Journal of Experimental Botany, Vol. 54, No. 386, pp. 1461±1469, May 2003 DOI: 10.1093/jxb/erg153 RESEARCH PAPER The speed of soil carbon throughput in an upland grassland is increased by liming Philip L. Staddon1,4, Nick Ostle2, Lorna A. Dawson3 and Alastair H. Fitter1 1 Department of Biology, University of York, PO Box 373, York YO10 5YW, UK 2 Centre for Ecology and Hydrology, Merlewood Research Station, Grange-over-Sands, Cumbria LA11 6JU, UK Macaulay Institute, Craigiebuckler, Aberdeen AB15 8QH, UK 3 Abstract Introduction In situ 13C pulse labelling was used to measure the temporal and spatial carbon ¯ow through an upland grassland. The label was delivered as 13C-CO2 to vegetation in three replicate plots in each of two treatments: control and lime addition. Harvests occurred over a two month period and samples were taken along transects away from the label delivery area. The 13C concentration of shoot, root, bulk soil, and soil-respired CO2 was measured. There was no difference in the biomass and 13C concentration of shoot and root material for the control and lime treatments meaning that the amount of 13C-CO2 assimilated by the vegetation and translocated below ground was the same in both treatments. The 13C concentration of the bulk soil was lower in the lime treatment than in the control and, conversely, the 13C concentration of the soil-respired CO2 was higher in the lime. Unlike the difference in bulk soil 13C concentration between treatments, the difference in the 13 C concentration of the soil-respired CO2 was obvious only at the delivery site and primarily within 1 d after labelling. An observed increase in the abundance of mycorrhizal fungi in the lime treatment was a possible cause for this faster carbon throughput. The potential key role of mycorrhizas in the soil carbon cycle is discussed. The importance of a better understanding of soil processes, especially biological ones, in relation to the global carbon cycle and environmental change is highlighted. Predicting the impact of environmental change on terrestrial ecosystems is severely limited by a lack of understanding of basic soil processes (Lloyd, 1999; White et al., 1999; Swift et al., 1998). In many, if not all, models of terrestrial ecosystem response to global environmental change, soil is simply treated as a black box (Kirschbaum, 1999). One question which frequently arises in connection with global environmental change (GEC) and rising atmospheric CO2 concentration in particular, concerns how the terrestrial carbon cycle will be affected, i.e. will GEC lead to increased C sequestration in soil or faster C cycling (Grace and Rayment, 2000)? However, this is rather dif®cult to answer, as it is ®rst necessary to have some idea of how a perturbation to the soil biota affects the soil carbon cycle. To answer questions of this nature, the use of an in situ C tracer is a necessity. Stable isotopes offer a safe and manageable means to do this. Stable isotopes, in this case 13C, are now routinely used to answer process-driven ecological questions in the ®eld (Ostle et al., 2000; Stewart and Metherell, 1999). Due to the small mass difference, 13C is considered to provide a more representative biological tracer of the 12C dominated terrestrial C cycle (Schimel, 1993; Simard et al., 1997) than 14C (Gregory and Atwell, 1991; Meharg and Killham, 1995; Nguyen et al., 1999) or 11C (Freckman et al., 1991; Minchin and McNaughton, 1984). The NERC Soil Biodiversity Programme ®eld site at Sourhope, Scotland includes various treatments, which were imposed on a Festuca ovina±Agrostis capillaris grassland on C-rich, base-poor mineral soil, to alter soil biodiversity (www.nmw.ac.uk/soilbio). This study concentrated on one treatment, lime addition, which is known Key words: 13C-CO2, extraradical mycorrhizal hyphae, pulse labelling, root length colonized, soil carbon storage. 4 Present address and to whom correspondence should be sent: Risù National Laboratory, Plant Research Department, Building 313, Postbox 49, Roskilde, DK-4000, Denmark. Fax: +45 4677 4122. E-mail: [email protected] Journal of Experimental Botany, Vol. 54, No. 386, ã Society for Experimental Biology 2003; all rights reserved Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 Received 12 December 2002; Accepted 17 February 2003 1462 Staddon et al. 13 C labelling The vegetation was labelled with 13C-CO2 using a mobile stable isotope delivery system (SID) (for a full description see Ostle et al., 2000). SID works by ®rst removing the CO2 from the air and then replacing it in a mixing tank with 13C-CO2 (99 atom% 13C in this experiment) to 370 ppm (controlled by an IRGA, Gascard II plus, Edinburgh Sensors Ltd., Livingston, UK). The labelled air is then supplied to individual labelling chambers via gas hoses. The air ¯ow, c. 2.0 l min±1, to each of the chambers is adjusted to maintain similar chamber CO2 concentrations, which are monitored by SID's CPUcontrolled IRGA (ADC Bioscienti®c Ltd., Hodersdon, UK) (the chamber air is sucked back to SID in PTFE tubing). The chambers used for labelling were made of plastic cylinders 20 cm in diameter and 15 cm in height, ®tted with a transparent acrylic lid (3 mm thick). The rapid turnover time of air in the labelling chamber meant that the dilution of the 13C-CO2 label by soil and canopy respiration was kept to a minimum (Ostle et al., 2000). There was a 1.6 cm diameter port for the attachment of the in¯ow hose, and an exit port of similar size through which the PTFE tubing, for individual chamber CO2 monitoring, could be inserted. The chambers were placed on the soil surface, taking care to minimize any vegetation being trapped under the sides. After labelling, the chamber tops were removed, but the chamber cylinders were left in place as markers for the 13C labelled areas. The 13C labelling occurred on 28 September 2000, one month after the last cutting event (30 August 2000), and lasted for 4 h during the brightest part of the day (from 12.00 h to 16.00 h) (see Fig. 1 for the climatic conditions during the experiment). In total, there were three 13C-labelled replicates each of the control and lime treatments located in three separate blocks (plots 1B, 1F, 2B, 2C, 3B, and 3D at the site: www.nmw.ac.uk/ soilbio/Sourhope_Design.htm). Materials and methods Site, vegetation and treatment The ®eld site is an upland ancient grassland located at the Sourhope Research Station, Roxburghshire, Scotland. The site was previously grazed for at least 40 years until livestock was excluded in 1998. The plant community was dominated by the grasses Agrostis capillaris, Festuca rubra, Nardus stricta, Anthoxanthum odoratum, and Poa pratensis and closely matched the National Vegetation Classi®cation community U4d (Cooper, 1997). This experiment formed part of the NERC Soil Biodiversity Programme and used the control and lime plots at the site (www.nmw.ac.uk/soilbio/Sourhope_Design.htm). The lime was applied annually (May 1999 and 2000) at 600 g m±2 as CaCO3 (powdered lime, 39.4% calcium ash insoluble in HCl 0.5%). Soil pH (measured in distilled water) was 4.5±5.0 in the control plots and 5.5±6.0 in the limed plots at the time of this experiment. During the summer (June±September 1999, May± August 2000), the vegetation was cut to about 6 cm every 3±4 weeks and the cuttings were removed. The following environmental variables were continuously logged throughout the experimental period using a Type DL2 automatic weather station (AWS; type WS01, Delta-T, Cambridge, UK): solar radiation (kW m±2), rainfall (mm), atmospheric temperature (°C) and soil moisture (m3 m±3). Fig. 1. Environmental variables as measured during the course of the experiment. (a) Solar radiation (line) and rainfall (bars). (b) Air temperature (line) and volumetric soil moisture (bars). Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 to affect soil biota in terms of their community structure and activity (Chagnon et al., 2001). As an initial study, the primary objective was to determine whether there were any differences in the fate of plant-®xed C between the control and lime treatments. Also, lime addition, by increasing pH, has been shown to stimulate mycorrhizal fungal abundance (Wang et al., 1985). Mycorrhizal fungi form symbiotic associations with the roots of most plant species (Smith and Read, 1997). Arbuscular mycorrhizal associations (the most common type of mycorrhizas) can account for a relatively large proportion of plant photosynthate, in some cases up to 20% (Jakobsen and Rosendahl, 1990). Their extensive hyphal networks in the soil enables potentially a substantial amount of C to enter the soil via mycorrhizal hyphae (Finlay and SoÈderstroÈm, 1992; Staddon et al., 1999b). Mycorrhizas could therefore be playing a key role in soil carbon cycling, particularly in grasslands where they are abundant (Miller, 1987). This is particularly relevant to GEC as upland grasslands hold a considerable stock of C and have, in the past, been considered as net sinks of atmospheric C (Goudriaan, 1995). Any environmental change that affects soil microbial communities and alters mycorrhizal abundance is likely, therefore, to have a signi®cant effect on the net ecosystem C ¯ux. In the current study, using a ®eld-based 13C pulse labelling experiment, in which the 13C label was followed on both a temporal and spatial scale, an attempt was made to test the following hypotheses: (1) lime addition results in a faster throughput of carbon from plant to soil and back to the atmosphere; and (2) lime addition results in less carbon being sequestered in the soil. Soil carbon cycling and mycorrhizas 1463 13 Plant biomass data On 3 October 2000, duplicate cores, 3.5 cm internal diameter and 14 cm deep, were taken in each of the control and lime plots used for the 13C labelling experiment (P and R subplots). Shoots were collected and dried at 70 °C for 48 h and shoot biomass density was expressed in mg cm±2 soil surface. Each soil core was washed over a 0.5 mm wire sieve to collect the roots. The roots from the 1±8 cm depth were spread out onto a glass tray, ¯oated in water and examined by eye using a magnifying lens. Dead and decomposing root material was separated from the live roots on the basis of colour, texture and breaking strength. Root samples were dried as above and root biomass density was expressed as mg cm±3 soil volume. Mycorrhizal parameters Prior to the setting up of this experiment, mycorrhizal colonization and extraradical hyphal density were assessed in the control and lime treatments. Two cores, 2 cm diameter and 10 cm deep, were taken randomly from the control and lime treatments in all ®ve of the blocks at the site. Each core was processed for measurements of extraradical mycorrhizal hyphal (EMH) density and root length colonized (RLC) as follows. A subsample of soil was weighed fresh and then placed in 500 ml of water. This was then mixed using a magnetic stirrer and diluted 3-fold. From the ®nal solution, duplicate 5 ml samples where taken and passed through 0.45 mm ®lters under vacuum for extraradical mycorrhizal hyphae collection (for a full description of the procedure, see Staddon et al., 1999a). A small random subsample of roots from each core was stained with acid fuchsin for internal mycorrhizal assessment. The timing of the staining procedure was 2±3 min in KOH at 80 °C, 1 min in HCl at room temperature, 25 min in acid fuchsin at 80 °C, followed by destaining in lactoglycerol (for a full description of the procedure, see Staddon et al., 1998). Both the ®lters containing the extraradical mycorrhizal hyphae and the stained roots were mounted in lactoglycerol onto microscope slides. To allow for conversion of soil fresh weight (FW) to soil dry weight (DW), the remaining soil from each core was weighed fresh and then oven dried at 80 °C for 72 h. Extraradical mycorrhizal hyphal density was assessed with a compound microscope (Zeiss Jenamed 2) ®tted with a 131 cm 100grid graticule (Graticules Ltd, UK) at 3250; where a minimum of 40 grids per ®lter were observed. The grid-line intercept method (Tennant, 1975) was used to obtain a length of hyphae per ®lter. The mean value of the four ®lters (two ®lters per duplicate) per replicate was used. Hyphal density is ®nally expressed in m hyphae g±1 soil DW. Hyphae were counted as mycorrhizal if they showed the following typical characteristics: dichotomous branching, angular projections, and absence of septa (Nicolson, 1959). This standard method (Kabir et al., 1997; Miller et al., 1995; Rillig et al., 2002; Schweiger and Jakobsen, 1999) may slightly underestimate EMH density by excluding some hyphae which may actually be mycorrhizal. Internal mycorrhizal colonization was assessed with a compound microscope (Nikon EFD-3 Optiphot-2) ®tted with a cross-hair graticule at 3200 using epi¯uorescence (Merryweather and Fitter, 1991) with a minimum of 100 intersections assessed per core. Scoring followed McGonigle et al. (1990). The mean value for the two cores per replicate was used. Further details on the methods used for collection of mycorrhizal data are available in Staddon et al. (1998, 1999a). Statistical analysis All statistical analyses were performed in SPSS 10.0. 13C label concentration data was analysed both as a function of time after and distance from source of labelling. The F-ratio method of ®tted line comparison (Mead and Curnow, 1983; Sokal and Rohlf, 1995) was used to test for differences between the control and lime treatments for the concentration of 13C label in soil-respired CO2 and in the shoots. Brie¯y, the F-ratio method compares the residual sum of squares when two regression lines are ®tted to two data sets to that when a single regression line (of the same order) is ®tted to a combination of both data sets: i.e. the null hypothesis is that there is no difference between the two data sets and that therefore there should be no signi®cant decrease in variance of the data when two lines are ®tted instead of one. To satisfy normality, the shoot data were log10 transformed for the analysis. For both soil-respired CO2 and shoot 13C label concentration, non-linear regression was performed to ®t asymptotic lines to the data (for P <0.05, R2 ranged from 0.33 to 0.68). Due to the large number of zeros and general variability in the root 13C and soil 13C label concentration data, the Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 Sampling and sample processing for C concentration Sampling was performed on both a temporal and a spatial scale. The sampling dates were 28, 29 September, 3, 10, 17, 24 October, and 1 and 29 November, which are equivalent to 2 h, 1, 5, 12, 19, 26, 34, and 62 d after 13CO2 labelling. Samples were taken within the labelled area and on random transects away from the centre of the labelled area, at the following distances from the outer edge of the chamber: 5, 10, 20, 35, and 50 cm. For each date and for each plot, one sample was taken per distance. Samples for background (natural abundance) 13C levels were taken a minimum of 5 m away from the labelled areas (labelling occurred in the `P' subplots, background levels were obtained from the `R' subplots at the site: www.nmw.ac.uk/soilbio/Sourhope_Design.htm). At each sampling point, a 10 ml Exetainer tube (Labco Ltd., High Wycombe, UK) was placed upside down touching the soil surface. Great care was taken to ¯ush the tubes with ambient air so they all had the same starting point and vegetation was pulled back so as not to include shoot respiration within the trapped soil-respired CO2. The tubes were left in place for c. 1 h 45 min. On collection, each tube was carefully lifted from the soil surface and capped. The soil CO2 ef¯ux samples were stored at ambient temperature until subsequent 13C/12C analysis. After the collection of the gas sample, a shoot sample was obtained as close as possible to where the Exetainer tube was located and always at the same distance from the labelled area (i.e. if a little movement was required, this was always perpendicular to the transects). A soil core, 2 cm diameter and 10 cm deep, was then taken at the same location as the gas sample. If this proved impossible due to the rather stony nature of the site, then as for the shoot sampling, any movement occurred perpendicular to the transect. Shoot samples and soil cores were frozen until analysis. Soil cores were subsequently processed as follows. Firstly, they were defrosted at room temperature. Roots were extracted from each core and a small random subsample of root (for 13C determination) was placed inside an Eppendorf tube and then frozen. Great care was taken to exclude all soil particles from the root samples. More timeconsuming was the exclusion of all root material (especially very ®ne dead fragments) from the (bulk) soil samples. Once collected, the soil samples were also placed in Eppendorf tubes and frozen. Prior to analysis, plant and soil samples were frozen at ±20 °C and then freeze-dried using a `Spex' liquid nitrogen-cooled mill (Glen Creston, Crewe, UK). Soil samples were pretreated with excess 0.1 M orthophosphoric acid to remove inorganic C salts (e.g. the CaCO3). Tests con®rmed that this was suf®cient to remove CaCO3 as CO2 (data not shown). All samples were analysed for 13C concentration by continuous ¯ow isotope ratio mass spectrometry at the NERC Stable Isotope Facility at ITE Merlewood. Plant and soil samples were analysed using an elemental analyser (Carlo Erba/ Fisons, UK) linked to a modi®ed isotope ratio mass spectrometer (IRMS) (Dennis Leigh, UK) and soil-respired CO2 samples using a Trace Gas preconcentration unit coupled to a Isoprime IRMS (Micromass, Manchester, UK). 1464 Staddon et al. Wilcoxon (paired) signed rank test (a non-parametric test) was used for these two parameters. Data are presented as 13C atom% above background (ABG) for the four parameters as a function of either time or distance. Only a few of the most revealing graphs are presented. In most cases, graphs have been truncated due to the measured 13C atom% ABG being no different from zero, especially at distances greater than 20 cm and more than 2±4 weeks after labelling. Mycorrhizal data was analysed using a paired sample ttest. Percentage RLC was arcsine square root transformed and EMH density was ln transformed to satisfy conditions of normality. Results 13 C label concentration of the pools measured Fig. 2. The 13C label content of shoots expressed as 13C atom% above background (ABG) for (a) shoots located within the 13C labelled area as a function of time after labelling and (b) shoots 1 d after labelling as a function of distance from the labelled area. Treatments are control (®lled diamonds, solid line) and lime (®lled squares, dotted line). Error bars represent standard errors. For day 1 within the labelled area, the equivalent d13C values range from ±28.0½ for the unlabelled background to over +2100½ for the peak average. Fig. 3. The 13C label content of roots expressed as 13C atom% above background (ABG) for (a) roots located within the 13C labelled area as a function of time after labelling, (b) roots located 5 cm from the 13C labelled area as a function of time after labelling and (c) roots 1 d after labelling as a function of distance from the labelled area. Treatments are control (®lled diamonds, solid line) and lime (®lled squares, dotted line). Error bars represent standard errors. For day 1 within the labelled area, the equivalent d13C values range from ±28.2½ for the unlabelled background to ±20.7½. Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 The shoots had the greatest concentration of 13C when compared with the root and soil carbon pools. There was no difference between the control and lime treatments for the 13C label concentration of the shoots (F-ratio method, P >0.05, see Fig. 2). Their 13C concentration peaked on the ®rst day after labelling (Fig. 2a). The vast majority of the 13C label in the shoots was con®ned to those within the labelled area, hardly any label was detected outside the labelled area (Fig. 2b). The shoots within the labelled area had a generally stable 13C concentration from 5 d to 62 d after labelling of around 0.5 13C atom% above background (Fig. 2a). Similarly to the shoots, there was no signi®cant effect of the lime treatment on the 13C label concentration of the roots (Wilcoxon test, P >0.05; Fig. 3), but the 13C label concentration of the roots was two orders of magnitude less than for the shoots. Contrary to the shoots, there was no obvious peak in the 13C concentration of the roots (Fig. 3a, b). Most of the 13C label in the roots was located within the labelled area and up to a distance of 5 cm away (Fig. 3c), i.e. presumably only within roots directly attached to the labelled shoots. Contrary to there being no treatment effect on the plant carbon pools, there was less 13C label in the bulk soil in the lime treatment compared to the control (Table 1; Fig. 4). For all data combined, this was highly signi®cant (P <0.001, Wilcoxon signed ranks test). This effect of less 13C in the bulk soil under lime was particularly evident Soil carbon cycling and mycorrhizas 1465 Table 1. The signi®cance values (P) for the effect of the lime treatment on the amount of 13C label located in the bulk soil as obtained by Wilcoxon (paired) signed rank tests Results are presented both as a function of time after and of distance from labelling, for individual distances and dates, respectively. In other words, tests were performed on all data from either a single time point (all distances combined) or a single distance (all harvests combined). NS, not signi®cant; *, P <0.05; ±, not available. Versus time 0 cm 5 cm 10 cm 20 cm NS (0.086) 0.036 * NS NS Versus distance 2 1 5 12 h d d d NS (0.071) ± 0.026 * 0.028 * Plant biomass and mycorrhizas Standing plant biomass was unaffected by the lime treatment (P >0.05). Shoot biomass was 18.7 (66.6 SE) and 18.4 (67.9 SE) mg cm±2 for control and lime, respectively, and root density was 2.22 (60.15 SE) and 2.40 (60.31 SE) mg cm±3 for control and lime, respectively. However, root length colonized by arbuscular mycorrhizal fungi was consistently and signi®cantly (P=0.007) less in the control (33%) compared with the lime treatment (39%) (Fig. 6). Although the overall difference in extraradical mycorrhizal hyphal density between the control and lime treatments (5.85 m 60.73 SE and 7.46 m 61.92 SE hyphae g±1 soil dry wt, respectively) mirrored that for RLC (Fig. 6), it was not signi®cant due to the vary large variation in densities between cores. Lime increased RLC and EMH by Fig. 4. The 13C label content of the bulk soil expressed as 13C atom% above background (ABG) for (a) bulk soil located within the 13C labelled area as a function of time after labelling and (b) bulk soil 5 d after labelling as a function of distance from the labelled area. Treatments are control (®lled diamonds, solid line) and lime (®lled squares, dotted line). Error bars represent standard errors. For day 5 within the labelled area, the equivalent d13C values range from ±26.9½ for the unlabelled background to ±25.4½ (61.3 SE) and ±26.3½ (60.5 SE) for the control and lime treatments, respectively. 20% and 28% respectively (Fig. 6), the latter not being signi®cant. Discussion Root 13 C concentration Unlike these data, Ostle et al. (2000) reported a similar magnitude of 13C concentration in the shoots compared to the roots. However, they collected young roots visibly attached to non-senescing shoots, whereas a random root sample from a soil core was extracted in this work. There are therefore several reasons why the 13C concentration of the roots was so much lower than in the shoots in this study: (a) the root sample included dead or senescing roots, evident from the examination of the mixed samples of roots, (b) roots attached to non-photosynthesizing shoots were included and (c) a proportion of the sampled roots were attached to shoots outside the labelled area (and could therefore not directly have received any 13C label). During root collection (for estimation of root biomass) the amount of obviously dead roots was recorded as around 8%, although the amount of dead or senescing roots can be as high as 70% (Clark and Campion, 1976). In addition, there Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 close to the area of label delivery at 5±12 d after labelling (Table 1). Similarly to the roots, there was no obvious peak of 13C label in the bulk soil (Fig. 4a). The bulk soil 13C label concentration gradually decreased with distance from the labelled area (Fig. 4b). The 13C label concentration of soil-respired CO2 was also affected by the lime treatment (F-ratio method, P <0.05; Table 2), but the effect was in the opposite direction, i.e. there was more 13C label in the soil-respired CO2 in the lime treatment when compared to the control (Fig. 5). By contrast to the effect of lime on the 13C label concentration of the bulk soil, the differences between the lime and control treatments in the 13C concentration of the soil-respired CO2 were primarily only seen at the 13C delivery site (Fig. 5a; Table 2), and only immediately after labelling (Fig. 5b, c; Table 2). The peak in 13C label in the soil-respired CO2 occurred within a few hours of delivery (Fig. 5a) and most of the released 13C label occurred within 5 cm of the labelled area (Fig. 5b). The maximum concentration of 13C label in the soil-respired CO2 was of a similar order of magnitude to that measured in the shoots, i.e. it was 2 and 3 orders of magnitude higher than in the roots and bulk soil, respectively. 1466 Staddon et al. Table 2. The signi®cance values (P) for the effect of the lime treatment on the amount of 13C label in the soil-respired CO2 as obtained by the F-ratio method of ®tted line comparisons Results are presented both as a function of time after and of distance from labelling, for individual distances and dates, respectively. In other words, tests were performed on all data from either a single time point (all distances combined) or a single distance (all harvests combined). NS, not signi®cant; *, P <0.05; NA, not applicable (due to large difference in variance). Versus time 0 cm 5 cm 10 cm 20 cm < 0.025 * NS NA all 0 Versus distance 2 1 5 12 h d d d <0.05 * NS NS all 0 Carbon ¯ow through the plant±soil system Nearly all the energy that enters the soil does so via plants. Roots are the primary producers in soil ecosystems (Coleman and Crossley, 1996). When comparing the carbon throughput in soils under different treatments, it is critical to know if the total amount of carbon entering the soil is comparable between treatments before assessing carbon allocation to different pools. Here it is shown that there was no difference in the amount of carbon ®xed by the vegetation under the control and lime addition conditions in this grassland. The value of the 13C concentration peak measured in the shoots was identical between control and lime and there was no statistical difference in the standing shoot biomass. Also, root 13C concentration and biomass was similar between the two treatments, suggesting that there was a comparable amount of photosynthate allocated below ground in the control and lime treatments. The fact that the total amount of carbon entering the soil in these two treatments was very similar simpli®es the interpretation of the results. Consequently other pools can be directly compared between treatments. There were two main differences between the control and lime treatments in terms of where and when the 13C label was detected: a far greater amount of 13C was immediately Returned to the atmosphere in the lime compared to the control treatment and more 13C remained in the bulk soil in the control compared to the lime treatment. Previous tests (N Ostle, unpublished results) showed that when labelling with 99 atom% 13C-CO2 for 5 h occurred in the dark (i.e. in darkened chambers) the 13 C-CO2 coming back from the soil and vegetation, as a result of diffusion processes during the labelling, was Fig. 5. The 13C label content of soil-respired CO2 expressed as 13C atom% above background (ABG) for (a) soil-respired CO2 from within the 13C labelled area as a function of time after labelling, (b) soil-respired CO2 2 h after labelling as a function of distance from the labelled area and (c) soil-respired CO2 1 d after labelling as a function of distance from the labelled area. Treatments are control (®lled diamonds, solid line) and lime (®lled squares, dotted line). Error bars represent standard errors. For day 1 within the labelled area, the equivalent d13C values range from ±20.8½ for the unlabelled background to +662½ (6306 SE) and +1273½ (61286 SE) for the control and lime treatments, respectively. negligible by 1 h after the end of labelling. This means that most of the 13C-CO2 evolving from the soil surface due to diffusion processes would have occurred prior to the ®rst sampling point (2 h after the end of labelling). Therefore, the difference in the amount of rapidly returned 13C-CO2 (i.e. within hours), was most likely linked to proportional differences in the components of below-ground respiration. Unless root respiration was signi®cantly affected by the lime treatment, microbial respiration, including that of mycorrhizal fungal, was the probable source of this. This faster return of CO2 to the atmosphere in the lime treatment resulted in less carbon being sequestered in the soil itself, at least over the short term in this study. Mycorrhizas, for example, have been shown to be responsible for a large proportion of below-ground Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 would have been a considerable amount of root attached to non-photosynthesizing shoots as the 13C labelling occurred near the end of the growing season. Also, due to lateral root spread (Weaver, 1926) and stoloniferous growth (Grime, 1979) of many grass species, not all roots within the labelled areas were linked to the shoots within that area. Soil carbon cycling and mycorrhizas 1467 weeks of plant growth in soil in their experiment), which was maximal after 24 h. A similar timescale for the partitioning of labelled carbon into microbial biomass was observed by Warembourg and Estelrich (2000). Therefore, in addition to the mycorrhizal fungi, bacteria and other soil micro-organisms were likely to have had some role in the observed rapid throughput of the labelled carbon in this study. Conclusions respiration (Rygiewicz and Andersen, 1994). Lime addition, by increasing soil pH, generally leads to an increased abundance of mycorrhizas (Wang et al., 1985; Coughlan et al., 2000). Indeed, a 20% increase was found in the amount of arbuscular mycorrhizas in the lime treatment compared to the control, particularly within the roots. As arbuscular mycorrhizal fungi can account for 10±20% of plant photosynthate (Tinker et al., 1994; Jakobsen and Rosendahl, 1990), it is possible that the increased abundance of mycorrhizas in the lime treatment was responsible, at least in part, for the faster short-term cycling of the carbon back to the atmosphere. Also, there is the possibility that mycorrhizal turnover and/or vitality could have been increased by liming, further stimulating mycorrhizal respiration, or that the higher pH in the lime-treated plots favoured faster-growing mycorrhizal fungal species. However, an increase in soil pH, for example, by liming, has many other effects on soil biota, such as a stimulation of microbial respiration triggered by an increase in root exudation (Meharg and Killham, 1990). It should be noted that the conclusions of Meharg and Killham (1990) were based on soil pH increasing from 4.3 to 6.5 and their data for a soil pH increase similar to the one reported here would lead to rather different conclusions (they reported a lower soil respiration at pH 5.7 compared with pH 4.7). It was not possible in this ®eld labelling experiment to distinguish between the various components of soil respiration, i.e. between root, mycorrhizal fungal, or bacterial respiration. The authors are aware that some of the increase in soil-respired 13C-CO2 could have been due to the response of other biota apart from mycorrhizal fungi. Rattray et al. (1995) reported a rapid partitioning of labelled carbon in the rhizosphere, presumably to bacteria (mycorrhizal fungi could not have established within the 2 As is often the case with ®eld data, the results raise many more questions than they answer. For example, the potential critical role of soil micro-organisms, and mycorrhizal fungi in particular, in soil carbon cycling is particularly pertinent to the global carbon cycle. If an increase in abundance of soil micro-organisms simply speeds up soil carbon cycling then many of the current ideas on the role of soil biota in the terrestrial carbon cycle must be re-evaluated. The key role of soil carbon cycling and storage within the terrestrial carbon is undeniable, but the processes affecting the fate of carbon entering the soil are not well understood. These processes are both physicochemical and biological, with the latter being extremely complex (Killham, 1994). Without a better understanding of the role of soil biota in carbon cycling, the soil will unfortunately continue to be treated as a black box, for example, in terms of global carbon cycle modelling. This research showed that lime addition resulted in faster carbon cycling through the soil system. Both an increase in soil respiration and a decrease in soil carbon storage was observed. It was postulated that this was due to the increase in mycorrhizal fungal colonization and extraradical hyphal density as measured in the limed plots. This is not to imply that other changes in the soil biota did not occur, which undoubtedly they did. Nevertheless, as far as is known, mycorrhizal fungi with their direct access to plant photosynthate and their relatively large biomass in relation to other soil organisms (Coleman, 1994) were the most likely candidates to account for the observed changes in carbon throughput. This is particularly so, as the increase in soil-respired 13CCO2 took place within 1 d after labelling. Despite their importance to the terrestrial carbon cycle, little is known about the role of mycorrhizas in soil carbon storage. This is an area requiring further research, especially with a view to predicting consequences of global environmental change. Acknowledgements This research forms part of the Soil Biodiversity NERC Thematic Programme. We thank Dr A Stott, H Grant and D Sleep at CEH Stable Isotope Facility for analyses and N McNamara for assistance in the ®eld. Also thanks to P Ineson for early discussions on the planned work. Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 Fig. 6. Mycorrhizal root length colonized (RLC) and extraradical mycorrhizal hyphal (EMH) density. Treatments are control (grey bars) and lime (striped bars). Error bars represent standard errors. Data are expressed relative to the mean of the control treatment (assigned a baseline value of 100). Actual means for percentage RLC are 33% and 39% for control and lime, respectively; actual means for EMH density are 5.85 and 7.46 mm g±1 soil dry wt for control and lime, respectively. 1468 Staddon et al. References Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014 Chagnon M, Pare D, Herbert C, Camire C. 2001. Effects of experimental liming on collembolan communities and soil microbial biomass in a southern Quebec sugar maple (Acer saccharum Marsh.) stand. Applied Soil Ecology 17, 81±90. Clark FE, Campion M. 1976. Distribution of nitrogen in root materials of blue grama. Journal of Range Management 29, 256± 258. Coleman DC. 1994. Compositional analysis of microbial communities: is there room in the middle? In: Ritz K, Dighton J, Giller KE, eds. Beyond the biomass. Chichester: John Wiley and Sons, 201±220. Coleman DC, Crossley DA. 1996. Fundamentals of soil ecology. San Diego, CA: Academic Press. Cooper EA. 1997. Summary descriptions of National Vegetation Classi®cation of grassland and montane communities. Peterborough: UK Nature Conservation. Coughlan AP, Dalpe Y, Lapointe L, Piche Y. 2000. Soil pHinduced changes in root colonization, diversity and reproduction of symbiotic arbuscular mycorrhizal fungi from healthy and declining maple forests. Canadian Journal of Forest Research 30, 1543±1554. Finlay R, SoÈderstroÈm B. 1992. Mycorrhiza and carbon ¯ow to the soil. In: Allen MF, ed. Mycorrhizal functioning. New York: Chapman and Hall, 134±160. Freckman DW, Barker KR, Coleman DC, Acra M, Dyer MI, Strain BR, McNaughton SJ. 1991. The use of the C-11 technique to measure plant responses to herbivorous soil nematodes. Functional Ecology 5, 810±818. Goudriaan J. 1995. Global carbon cycle and carbon sequestration. In: Beran MA, ed. Carbon sequestration in the biosphere. Berlin: Springer-Verlag, 3±18. Grace J, Rayment M. 2000. Respiration in the balance. Nature 404, 819±820. Gregory PJ, Atwell BJ. 1991. The fate of carbon in pulse-labelled crops of barley and wheat. Plant and Soil 136, 205±213. Grime JP. 1979. Plant strategies and vegetation processes. Chichester: John Wiley and Sons. Jakobsen I, Rosendahl L. 1990. Carbon ¯ow into soil and external hyphae from roots of mycorrhizal cucumber plants. New Phytologist 115, 77±83. Kabir Z, O'Halloran IP, Fyles JW, Hamel C. 1997. Seasonal changes of arbuscular mycorrhizal fungi as affected by tillage practices and fertilization: hyphal density and mycorrhizal root colonization. Plant and Soil 192, 285±293. Killham K. 1994. Soil ecology. Cambridge: Cambridge University Press. Kirschbaum MUF. 1999. Modelling forest growth and carbon storage in response to increasing CO2 and temperature. Tellus series B ± Chemical and Physical Meteorology 51, 871±888. Lloyd J. 1999. Current perspectives on the terrestrial carbon cycle. Tellus series B ± Chemical and Physical Meteorology 51, 336± 342. McGonigle TP, Miller MH, Evans DG, Fairchild GL, Swan JA. 1990. A new method which gives an objective measure of colonization of roots by vesicular±arbuscular mycorrhizal fungi. New Phytologist 15, 495±501. Mead R, Curnow RN. 1983. Statistical methods in agriculture and experimental biology. London: Chapman and Hall. Meharg AA, Killham K. 1990. The effect of soil-pH on rhizosphere carbon ¯ow of Lolium perenne. Plant and Soil 123, 1±7. Meharg AA, Killham K. 1995. Loss of exudates from the roots of perennial ryegrass inoculated with a range of microorganisms. Plant and Soil 170, 345±349. Merryweather JW, Fitter AH. 1991. A modi®ed method for elucidating the structure of the fungal partner in vesicular± arbuscular mycorrhiza. Mycological Research 95, 1435±1437. Miller RM. 1987. The ecology of vesicular±arbuscular mycorrhizae in grass- and shrublands. In: Sa®r GR, ed. Ecophysiology of VA mycorrhizal plants. Boca Raton, FL: CRC Press. Miller RM, Reinhardt DR, Jastrow JD. 1995. External hyphal production of vesicular±arbuscular mycorrhizal fungi in pasture and tallgrass prairie communities. Oecologia 103, 17±23. Minchin PEH, McNaughton GS. 1984. Exudation of recently ®xed carbon by non-sterile roots. Journal of Experimental Botany 35, 74±82. Nguyen C, Todorovic C, Robin C, Christophe A, Guckert A. 1999. Continuous monitoring of rhizosphere respiration after labelling of plant shoots with (CO2)-C-14. Plant and Soil 212, 191±201. Nicolson TH. 1959. Mycorrhiza in the Gramineae. I. Vesicular± arbuscular endophytes, with special reference to the external phase. Transactions of the British Mycological Society 42, 421± 438. Ostle N, Ineson P, Benham D, Sleep D. 2000. Carbon assimilation and turnover in grassland vegetation using an in situ 13CO2 pulse labelling system. Rapid Communications in Mass Spectrometry 14, 1345±1350. Rattray EAS, Paterson E, Killham K. 1995. Characterization of the dynamics of C-partitioning within Lolium perenne and to the rhizosphere microbial biomass using 14C pulse chase. Biology and Fertility of Soils 19, 280±286. Rillig MC, Wright SF, Shaw MR, Field CB. 2002. Arti®cial climate warming positively affects arbuscular mycorrhizae but decreases soil aggregate water stability in an annual grassland. Oikos 97, 52±58. Rygiewicz PT, Andersen CP. 1994. Mycorrhizae alter quality and quantity of carbon allocated below ground. Nature 369, 58±60. Schimel DS. 1993. Theory and application of tracers. San Diego, CA: Academic Press. Schweiger PF, Jakobsen I. 1999. Direct measurement of arbuscular mycorrhizal phosphorus uptake into ®eld-grown winter wheat. Agronomy Journal 91, 998±1002. Simard SW, Durall DM, Jones MD. 1997. Carbon allocation and carbon transfer between Betula papyrifera and Pseudotsuga menziesii seedlings using a C-13 pulse-labelling method. Plant and Soil 191, 41±55. Smith SE, Read DJ. 1997. Mycorrhizal symbiosis, 2nd edn. San Diego, CA: Academic Press. Sokal RR, Rohlf FJ. 1995. Biometry, 3rd edn. San Fransico, CA: W.H. Freeman and Company. Staddon PL, Fitter AH, Graves JD. 1999a. Effect of elevated atmospheric CO2 on mycorrhizal colonization, external hyphal production and phosphorus in¯ow in Plantago lanceolata and Trifolium repens in association with the arbuscular mycorrhizal fungus Glomus mosseae. Global Change Biology 5, 347±358. Staddon PL, Graves JD, Fitter AH. 1998. Effect of enhanced atmospheric CO2 on mycorrhizal colonization by Glomus mosseae in Plantago lanceolata and Trifolium repens. New Phytologist 139, 571±580. Staddon PL, Robinson D, Graves JD, Fitter AH. 1999b. The d13C signature of the external phase of a Glomus mycorrhizal fungus: determination and implications. Soil Biology and Biochemistry 31, 1067±1070. Stewart DPC, Metherell AK. 1999. Carbon (C-13) uptake and allocation in pasture plants following ®eld pulse-labelling. Plant and Soil 210, 61±73. Swift MJ, Andren O, Brussard L, Briones M, Couteaux M-M, Soil carbon cycling and mycorrhizas 1469 Ekschmitt K, Kjoller A, Loiseau P, Smith P. 1998. Global change, soil biodiversity, and nitrogen cycling in terrestrial ecosystems: three case studies. Global Change Biology 4, 729± 743. Tennant D. 1975. A test of a modi®ed line intersect method of estimating root length. Journal of Ecology 63, 995±1001. Tinker PB, Durall DM, Jones MD. 1994. Carbon use ef®ciency in mycorrhizas: theory and sample calculations. New Phytologist 128, 115±122. Wang GM, Stribley DP, Tinker PB, Walker C. 1985. Soil pH and vesicular±arbuscular mycorrhizas. In: Fitter AH, Atkinson D, Read DJ, Usher MB, eds. Ecological interactions in soil. Oxford: Blackwell Scienti®c Publications, 219±224. Warembourg FR, Estelrich HD. 2000. Towards a better understanding of carbon ¯ow in the rhizosphere: a timedependent approach using carbon-14. Biology and Fertility of Soils 30, 528±534. Weaver JE. 1926. Root development of ®eld crops. New York: McGraw-Hill Book Company. White A, Cannell MGR, Friend AD. 1999. Climate change impacts on ecosystems and the terrestrial carbon sink: a new assessment. Global Environmental Change 9, S21-S30. Downloaded from http://jxb.oxfordjournals.org/ at Pennsylvania State University on February 27, 2014
© Copyright 2026 Paperzz