Tree Physiology 24, 1193–1201 © 2004 Heron Publishing—Victoria, Canada Laser ablation- combustion-GC-IRMS — a new method for online analysis of intra-annual variation of 13C in tree rings BIRGIT SCHULZE,1 CHRISTIAN WIRTH,1,2 PETRA LINKE,1 WILLI A. BRAND,1 IRIS KUHLMANN,1 VIVIANA HORNA1 and ERNST-DETLEF SCHULZE1 1 Max-Planck-Institut für Biogeochemie, P.O. Box 100164, 07701 Jena, Germany 2 Corresponding author ([email protected] or [email protected]) Received November 6, 2003; accepted April 2, 2004; published online September 1, 2004 Summary We present a new, rapid method for high-resolution online determination of δ13C in tree rings, combining laser ablation (LA), combustion (C), gas chromatography (GC) and isotope ratio mass spectrometry (IRMS) (LA-C-GC-IRMS). Sample material was extracted every 6 min with a UV-laser from a tree core, leaving 40-µm-wide holes. Ablated wood dust was combusted to CO2 at 700 °C, separated from other gases on a GC column and injected into an isotope ratio mass spectrometer after removal of water vapor. The measurements were calibrated against an internal and an external standard. The tree core remained intact and could be used for subsequent dendrochronological and dendrochemical analyses. Cores from two Scots pine trees (Pinus sylvestris spp. sibirica Lebed.) from central Siberia were sampled. Inter- and intra-annual patterns of δ13C in whole-wood and lignin-extracted cores were indistinguishable apart from a constant offset, suggesting that lignin extraction is unnecessary for our method. Comparison with the conventional method (microtome slicing, elemental analysis and IRMS) indicated high accuracy of the LA-C-GC-IRMS measurements. Patterns of δ13C along three parallel ablation lines on the same core showed high congruence. A conservative estimate of the precision was ± 0.24‰. Isotopic patterns of the two Scots pine trees were broadly similar, indicating a signal related to the forest stand’s climate history. The maximum variation in δ13C over 22 years was about 5‰, ranging from –27 to –22.3‰. The most obvious pattern was a sharp decline in δ13C during latewood formation and a rapid increase with spring early growth. We conclude that the LA-C-GC-IRMS method will be useful in elucidating short-term climate effects on the δ13C signal in tree rings. Keywords: carbon isotopes, cellulose, dendroclimatology, earlywood, fractionation, lignin, palaeoclimatology, Pinus sylvestris, water relations, water-use efficiency. Introduction During CO2 fixation, plants discriminate against the heavy carbon isotope (13C). The magnitude of this discrimination depends on the photosynthetic pathway (C3, C4 or CAM), and on the ratio of the concentrations of CO2 inside the leaf and in am- bient air (c i /ca ), which is controlled by stomatal conductance (g) and assimilation rate (A) (Farquhar et al. 1982, Scheidegger et al. 2000). The A/g ratio is called intrinsic (i.e., plant regulated) water-use efficiency (WUE) and in C 3 plants, it is proportional to δ13C of the primary photosynthetic products, where: ( 13 C / 12 C )sample δ13C = 1000 13 12 ( C / C )standard – 1 (1) Because both A and g are influenced by climate, δ13C of plant material has been used as a proxy for environmental conditions during assimilation. In particular, the δ13C of cellulose has been widely used as a proxy of climate record at various temporal resolutions, because it is progressively deposited in the annual rings of trees. In addition to climate, post-photosynthetic fractionation associated with downstream primary and secondary metabolism can alter the isotopic composition of plant material (Leavitt and Long 1982, 1986, Schleser 1992, Gleixner et al. 1993, 1998, Jaggi et al. 2002). The signature of δ13C in tree rings therefore reflects the influences of both climate and intrinsic physiological processes. Most studies on δ 13C in tree rings have focused on either long-term trends or interannual variability. Long-term trends are related to the incorporation of the isotopic signal of CO2 from fossil fuel combustion (de Silva 1979, Freyer and Belacy 1983, Stuiver et al. 1984, Tang et al. 1999) or to shifts in climatic conditions (Zimmermann et al. 1997, Arneth et al. 2002). Interannual variability of δ13C is related to year-to-year fluctuations in temperature (Wilson and Grinsted 1977), humidity (Leavitt and Long 1989a, McNulty and Swank 1995), solar radiation (Hanba et al. 1996) and WUE (Dupouey et al. 1993, Walcroft et al. 1997, Duquesnay et al. 1998, Pate and Arthur 1998). The correlation between climate signals and δ13C of tree rings seems to be more pronounced at xeric sites than at mesic sites (Robertson et al. 1997a, 1997b, Kagawa et al. 2003). Intra-annual sampling of tree rings has usually involved separating latewood from earlywood to obtain a clear interannual signal (Wilson and Grinsted 1977, Bender and Berge 1982, Hemming et al. 2001, Jaggi et al. 2002). The isotopic signature of latewood tends to be closely correlated with climate of the cur- 1194 SCHULZE ET AL. rent year, whereas the isotopic signature of earlywood tends to be closely correlated with climatic conditions of the previous year (Hill et al. 1995). Furthermore, earlywood of deciduous species is strongly enriched with 13C despite the relatively high availability of water during earlywood formation; this has been related to a selective loss of 12C because of increased growth respiration during its formation (Schleser et al. 1999b, Helle and Schleser 2004) or because of the mobilization and incorporation of 13C-enriched sugar molecules from storage starch (Schmidt and Gleixner 1998). High resolution measurements of the variability of δ13C within a tree ring could provide a link to short-term climatic events and metabolic processes. A spatial resolution of 200 µm can be achieved by cutting wood slivers with a razor blade or scalpel (Wilson and Grinsted 1977, Leavitt and Long 1989b, Leavitt 1993, Warren et al. 2001, Barbour et al. 2002). Because temporal resolution increases with ring width at a constant spatial resolution of the measurement, most studies have been made with wood from trees with high growth rates. However, trees growing near their ecological limits are highly sensitive to changes in climate, but have particularly narrow rings. Analyzing intra-annual variability in such trees requires a high spatial resolution. A resolution of 40 µm was achieved by drilling minute adjacent holes across the tree ring (Walcroft et al. 1997) or by using a microtome (Ogle and McCormac 1994, Loader et al. 1995, Helle and Schleser 2004). Unfortunately, both of these sampling methods are time consuming. Furthermore, the tiny samples are difficult to handle and therefore prone to cross-contamination during cutting, grinding and other preparatory steps (Loader et al. 1997). Here we present a new rapid method for high-resolution, nondestructive online detection of δ13C from intact biological samples using UV-laser ablation. We were able to analyze the carbon isotope pattern in a large number of tree rings with a spatial resolution of 40 µm. In addition to the speed of analysis, a major advantage of our method is that measurements can be made on intact cores, thus the core can be used for subsequent dendrochronological measurements or chemical analyses. Our method combines laser ablation (LA) with combustion (C), gas chromatography (GC) and isotope ratio mass spectrometry (IRMS) (LA-C-GC-IRMS). Unlike other LAGC-MS techniques (Sharp and Cerling 1996, GarbeSchoenberg et al. 1997), ablated wood dust particles are combusted in a reactor and the resulting gaseous products are separated on a GC column and then fed into an isotope ratio mass spectrometer through an open split for online determination of δ13C (Wieser and Brand 1999). In this paper, we focus on the methodology and discuss the quality of the measurements in terms of precision, reproducibility and comparison with conventional methods. spot size and complete ablation pattern were individually controlled and selected using MEO Version 1.4 software (Merchantek-NewWave). The exact location of each ablation spot was visualized with a camera mounted directly on the laser ablation station. The wood sample was cut into small pieces and, together with an internal standard, was placed in a cylindrical, 2-ml (15 mm diameter, 10 mm high) sample chamber. The chamber was covered with quartz glass, which permitted a good view of the sample and enabled the laser beam to pass through without significant energy loss. The glass was pressed onto the chamber by a removable aluminum plate, and an O-ring between the glass and the chamber ensured an air-tight seal. The chamber was mounted on a motor-driven, mobile stage to allow precise positioning of the sample beneath the laser beam. The laser-ablated particles were about 1–2 µm. To prevent larger dust particles from plugging the capillary system, a 60-µm dust filter (60 µm Netfilter, Millipore, Billerica, MA) was positioned at the outlet of the sample chamber. The sample chamber was continuously flushed with helium (He) (40 ml min –1) and was connected to a micro-combustion furnace by a thin capillary (PEEK, 0.5 mm i.d.). Although a flow of 40 ml min –1 through the sample chamber was necessary to ensure adequate transport of the ablation products, the flow rate had to be reduced before it passed through the combustion oven. This was achieved by splitting the He flow into a 10 ml min –1 flow to the combustion oven and a 30 ml min –1 flow to the atmosphere. For quantitative combustion of the ablation particles to CO2 and H2O, the sample was passed through an Al2O3 tube (0.8 mm i.d.) containing CuO wires as a source of oxygen. The reactor was heated to 700 °C. The CuO had to be regenerated about every month by flushing oxygen through the system or by replacing the wires. After combustion, the gaseous products were passed through a GC column (3.18 mm diameter and 50 cm long; HayeSep D, Hayes Separations, Bandera, TX) to separate the sample CO2 from the other gases and to avoid cross reactions with the CO2 inside the mass spec- Methods Figure 1. The laser ablation– combustion line (modified after Wieser and Brand 1999, John Wiley & Sons, New York. Reproduced with permission). Wood material is ablated from a whole-wood core with a UV-laser. Wood dust is combusted over CuO wires at 700 °C. The gases are then separated on a GC column and water is removed in a Nafion trap and an additional cold trap. The O2 inlet regenerates the CuO wires in the combustion furnace. The additional He inlet is used during changing of the sample. The laser ablation– combustion interface The laser ablation–combustion line described by Wieser and Brand (1999) was modified as shown in Figure 1. For ablation, we used a frequency quadrupled Nd:YAG 266 nm UV-laser (Merchantek-NewWave, Fremont, CA). The laser intensity, TREE PHYSIOLOGY VOLUME 24, 2004 A NEW METHOD FOR δ13C ANALYSIS IN TREE RINGS trometer ion source. Water originating from the sample and from the combustion process was removed in a Nafion water trap (Wieser and Brand 1999). To further increase the efficiency of water removal, we installed an additional water trap by guiding the capillary through a dewar filled with an ethanol/dry ice slush. Plugging of the capillary was avoided by taking the capillary out of the dewar and warming it between runs. The laser ablation– combustion line was connected to an isotope ratio mass spectrometer (Delta+ XL, Finnigan MAT, Bremen, Germany) through an open split interface similar to the one described by Werner and Brand (2001). The mass spectrometer could be disconnected from the laser ablation interface by moving the capillary out of the open split. This was done when a sample was changed and during water removal. Reference CO2 gas was introduced into the MS by switching a capillary in and out of the open split tube. In addition, a low CO2 flow corresponding to a mass 44 signal of 0.5 V (= 1.5 nA) was added through the open split interface to create constant conditions in the ion source and reduce drift phenomena during measurement. By saturating active surfaces inside the ion source of the mass spectrometer, this trickling stream of CO2 gas flow helped keep conditions constant during measurement. A rough estimate, based on peak height, IRMS sensitivity and loss of sample at the open splits, indicated that, of the 0.02 mg of wood material ablated from the UV-laser, 25 – 40% passed through the system and was available for δ13C measurements. Laser settings Spot size, laser intensity and pulse frequency were adjusted to optimize the trade-off between spatial resolution (spots as small as possible) and yield of ablated sample material (required to obtain a well-defined peak). For optimal resolution, we used either a spot size of 40 µm (Figure 2) or ablated lines of 300 µm in length and 40 µm in width. Ablated lines of these dimensions yielded an average sample of a specific cell layer, whereas single spots were affected by local morphological variations in wood material such as resin ducts. The ablation process programmed by the laser software and the automated insertion of the CO2-standard gas triggered by the MS software (Isodat V7.2 and Isodat NT V2.0, Finnigan MAT) were not coupled and were synchronized manually before each sequence of laser shots. 1195 Figure 2. Photograph of a Pinus sylvestris wood sample showing the 40 µm laser sample shots. The inset represents the spatial arrangement of laser shots along a tree core. Three lines of holes were divided to form blocks of eight shots. The movement of the laser (indicated by the arrows) changes its direction after every block. The individual holes are slightly displaced in relation to each other forming a zigzag pattern to increase the spatial resolution. ently by online combustion of NBS22 (δ13 C = –29.78‰ versus VPDB) on a separate instrument. When the reference CO2 gas values revealed a drift, sample signals were corrected based on the reference gas information of adjacent peak triplets using the proprietary MS software (Isodat V7.2 and Isodat NT V2.0, Finnigan MAT). A drift can be caused by changes in the ionization conditions within the ion source (ion molecule reactions), by changes in the flow rate or insufficient water removal. An internal standard positioned in the sample chamber Standards and measurements An external and an internal standard controlled different processes that potentially cause drift in δ13C values during measurements. The external standard was CO2 gas directly introduced into the mass spectrometer. The internal standard was placed together with the sample in the sample chamber and was therefore subjected to the entire process of ablation and combustion. In between sets of five ablation shots and at the beginning and end of each run consisting of up to five such sets, three standard CO2 peaks were introduced as an external standard into the MS (Figure 3). Standard CO2 gas was obtained from Messer Griesheim, Krefeld, Germany. Its isotopic composition (δ13 C = –37.89‰) was determined independ- Figure 3. Measurement scheme. Samples of internal standard (IS) and CO2 reference gas (Std-CO2) pulses were always measured before and after measurement of the laser sample shots of wood material (WS). TREE PHYSIOLOGY ONLINE at http://heronpublishing.com 1196 SCHULZE ET AL. revealed possible instabilities in the combustion system, when loss of oven capacity, plugging or leakage along the sample path gives rise to fractionation. Three laser shots on the wood sample were framed by two shots on the internal standard (Figure 3). Various substances such as glucose, charcoal, marble or synthetics were tested for their suitability as internal standards but were rejected because they either created heavy or sticky dust that plugged the ablation– combustion interface, or were melted by the laser beam and so did not ablate a sufficient amount of dust. Good results were obtained with internode material of a bamboo pole, which seemed to have a constant δ13 C signal over a short distance of 10 mm. The bamboo was later replaced by C3-cellulose filter paper (IAEA, Austria). During the initial test period, bamboo was an internal standard, but most of the data presented here were measured with cellulose filter paper as an internal standard. The bulk values of the internal standards were determined by elemental analysis (EA) IRMS (Werner and Brand 2001). Sample material The sampling site was located in central Siberia (60°43′ N, 89°08′ E). Sample material was obtained from two 95-yearold Siberian Scots pine trees (Pinus sylvestris spp. sibirica Lebed.) harvested during a field campaign in August 1998 (Trees 16 and 18 of Stand 95 vm (Wirth et al. 2002b, 2002c)). Tree 18 was a dominant tree with a diameter at breast height (DBH) of 24.7 cm and a height of 19.5 m. Tree 16 was a co-dominant tree with a DBH of 19.4 cm and a height of 17.6 m. At the study site, mean annual temperature is –3.6 °C (1936 –1998), mean monthly air temperature in July and January is 17.3 and –22.9 °C, respectively, and mean annual precipitation is 493 mm, with a growing season precipitation of 300 mm (Wirth et al. 2002a). Sample preparation Two adjacent cores (about 150 × 0.5 × 0.5 mm) were cut from a tree disk (hereafter termed twin cores). One side of each square core was polished with sandpaper to obtain a smooth surface with good visibility of individual cells for ablation. A core thickness of 0.5 mm was sufficient to prevent complete penetration of the core by the laser beam. To prevent mobile resins and superficial contaminations during the handling and cutting process from interfering with the δ13C measurement, the intact cores were extracted with 2:1 (v/v) toluene:methanol in a Soxhlet extractor (Loader et al. 1997). The organic solvents were removed by drying the core at 70 °C. Solvents did not affect the experimental results. Samples were stored over silica under vacuum. Determinations of the precision and reproducibility of measurements Effect of lignin content To test the influence of a varying lignin content on δ13C, lignin was extracted from an intact core of Tree 16 (tree rings 1978–1998) following the nondestructive method of Loader et al. (1997, 2002). The core was kept in sodium chlorite and acetic acid at 40 °C for several days. The extracted, bright-white intact core and the corresponding wholewood twin core were measured by LA-C-GC-IRMS. Because extraction of lignin led to a shrinking of one of the twin cores, a pairwise comparison of δ13 C along an absolute spatial scale was impossible. Instead, the ring width was normalized by calculating the relative position of laser holes within a given ring. Comparison of LA-C-GC-IRMS with the conventional EA-IRMS method To compare the δ13C values obtained by LA-C-GC-IRMS with those obtained by the conventional EAIRMS method, whole-wood material taken from the twin cores of Tree 18 (tree rings 1978–1998) was measured by LA-CGC-IRMS and with an elemental analyzer (NA 1110, CE instruments, Milan, Italy) connected to an isotope ratio mass spectrometer (Delta +XL, Finnigan MAT). For the EA-IRMS analysis, one of the resin-extracted twin cores was cut with a razor blade into sections of early- and latewood. If a tree ring was wide enough, the earlywood was also separated into early and late sections. Whole-wood material of each section was weighed in tin cups and measured by EA-IRMS (Werner and Brand 2001). The whole-wood sections were not ground before EA, because the small sample sizes (0.8 mg) ensured that samples were combusted quantitatively. The second twin core was measured by LA-C-GC-IRMS. Because the LA-C-GCIRMS has a higher spatial resolution than the EA-IRMS, several adjacent ablation holes were grouped according to tissue type and tree ring width to match the spatial resolution of the EA-IRMS data. The LA-C-GC-IRMS and EA-IRMS data were compared by Reduced Major Axis regression to account for variability in both variables. Measurement reproducibility within the same core To quantify measurement reproducibility, three parallel rows of ablation points or lines were shot radially along the core (tree rings 1941–1961) of Tree 18, yielding three quasi replicate measurements per tissue layer (usually two to five cell rows thick). The ablation holes forming the rows were shot moving back and forth in blocks, as shown in the insert to Figure 2, in order to separate the spatial arrangement of the isotopic composition from any temporal drift phenomenon. Inter-tree comparison of measurements We compared the δ13C patterns of tree rings 1941–1958 of Trees 16 and 18 to confirm the validity of our measurements. The experimental design enabled us to distinguish the isotopic signature of morphological features or life history of an individual tree from the signal related to the climatic conditions of the stand. The time period was chosen because mean ring width was high in both trees, permitting a high spatial resolution. Further, the variability of ring widths was high during this period, indicating variable growing conditions that should be mirrored by a high variability in the δ 13C signal. Because tree ring widths varied between trees, the position of the laser shots had to be converted to relative instead of absolute positions before the tree cores could be compared. Results Independent measurements of the internal standard material by EA-IRMS yielded a δ13C of –24.55 ± 0.09‰ (n = 17, errors are standard deviation throughout) for the cellulose filter paper and –27.96 ± 0.21‰ (n = 18) for the bamboo internode material. When the cellulose material for the EA-IRMS measurements was reduced to about 0.02 mg, equivalent to the amount TREE PHYSIOLOGY VOLUME 24, 2004 A NEW METHOD FOR δ13C ANALYSIS IN TREE RINGS of material ablated by the laser, the standard deviation of the EA-IRMS values increased to ± 0.31 ‰ (n = 69). Over a 6-month period, the δ13C of the cellulose measured by LA-CGC-IRMS averaged –24.38 ± 0.37‰ (n = 636) (Figure 4) or ± 0.24‰ if the temporal drift was removed by calculating the residual mean square error of a third-order polynomial fit to the same data. The δ13C of the bamboo averaged –28.28 ± 0.21‰ (n = 202) when determined by LA-C-GC-IRMS. There was a mean offset of 0.15 ‰ (not significant) for the cellulose and 0.32‰ for the bamboo between the EA-IRMS and LA-C-GCIRMS measurements. To determine the effect of lignin content on the LA-C-GCIRMS measurements, we compared twin cores (tree rings 1978 –1998) from Tree 16. One core consisted of whole wood and lignin was extracted from the other core. We observed a constant offset in δ 13C throughout the 1978 –1998 tree ring series of about 1.5‰, with the extracted core being isotopically heavier (more positive values of δ 13C) than the intact core (Figure 5) as a result of removal of the isotopically depleted lignin. Further, there was strong visible evidence that there was no difference in the shape of the intra- and interannual courses of the δ 13C signal. The relative positions of peaks and troughs in the two cores were generally similar given the introduction of some distortion by the normalization procedure that was applied to calculate the relative positions of the laser shots in each tree ring. Comparing the LA-C-GC-IRMS measurements on wholewood samples of Tree 18 with data obtained by the conventional EA-IRMS method, which involved combustion of resinextracted sections of early-, transition- and latewood in an elemental analyzer, the δ13C series measured by EA-IRMS agreed reasonably well with the mean δ13C series measured by LA-C-GC-IRMS (Figure 6). The slope of the Reduced Major Axis, LA-C-GC-IRMS versus EA-IRMS data, was 1.04 with a 95% confidence interval not significantly different from unity (range of 0.86 to 1.22; Figure 7) However, there was a small but significant offset of + 0.14‰ (paired t-test, n = 55, P < 0.001), i.e., the LA-C-GC-IRMS method yielded slightly higher values of δ13C than the EA-IRMS method. The reproducibility of the measurements within the same core of Tree 18 was high, with a mean standard deviation within triplets of ± 0.24‰ (Figure 8). The median of the abso- Figure 4. Values of δ13C of standard cellulose over a 6-month measurement period. The line denotes the mean value of the standard. High variation of the values indicates the need for regeneration or replacement of the CuO wires in the furnace oven. 1197 Figure 5. Comparison of δ 13 C of whole wood (solid line) and of lignin-extracted wood (dashed line) of the twin cores of Tree 16 (tree rings 1978–1998). Lignin was extracted from intact tree cores by the nondestructive method of Loader et al. (2002). Because the extraction leads to shrinkage of the core, the ring width was normalized by calculating the relative positions of the laser holes within the ring to allow comparison of the whole-wood core with the lignin-extracted core. Vertical lines indicate individual tree rings. lute range of δ13C within triplets was 0.41‰. There was no correlation between the standard deviation of δ13C within triplets and its mean (P = 0.94), nor was there a correlation between the standard deviation and distance of the triplet mean from the average δ13C value of –25‰ from the measured 23 tree rings (P = 0.93). When the laser shots were grouped according to their position within the ring (i.e., earlywood, earlywood–latewood transition, latewood, latewood– earlywood transition), no differences in triplet standard deviations between the four tissue layers were detected (ANOVA F3; 223 = 0.97, P = 0.44). Over the 23 years, the δ13C values spanned a range of 4.75‰. A minimum δ13C value of –27.02‰ was observed in the earlywood of Year 1949 and a maximum value of –22.27‰ occurred in the earlywood–latewood transition of Year 1957. Within any given ring, the most negative values of δ13C were measured in the first cell layers of the earlywood, whereas the least negative values, except in Year 1950, oc- Figure 6. Comparison of the δ13C series for Tree 18 measured by LA-C-GC-IRMS method (solid line) and the δ13C series obtained by the conventional EA-IRMS method (open squares), which involved combustion of resin-extracted whole-wood sections of earlywood, transition wood and latewood in an elemental analyzer. Error bars represent the standard deviation within triplets of laser shots. Vertical gray bars indicate the latewood area of individual tree rings. TREE PHYSIOLOGY ONLINE at http://heronpublishing.com 1198 SCHULZE ET AL. Discussion Figure 7. Comparison of LA-C-GC-IRMS and EA-IRMS measurements of δ13C in two adjacent cores of Scots pine Tree 18. Values represent δ13 C values of intra-annual layers of tissue in 20 tree rings (1941–1961). To match the difference in spatial resolution of the two methods, several laser shots were grouped to represent the intra-annual layers (early-, transition- and latewood), which in the case of the EA-IRMS method were obtained by manual sample preparation with a razor blade. curred at the transition between early- and latewood. The most rapid changes occurred in the latewood, when δ13C dropped by up to 3‰ over a distance of 100 µm. Trees 16 and 18 exhibited a similar interannual pattern of δ13C with higher values than average in the periods 1943–1945 and 1955–1958 and lower than average values in 1947, 1948 and 1951 (Figure 9). With the exception of Year 1951, the intra-annual pattern of δ13C was similar irrespective of differences at the interannual scale. Figure 8. Radial course of δ13C in a core of Scots pine Tree 18 between the years 1941 and 1963. Lines represent three adjacent parallel traces of laser ablation holes that were shot moving back and forth in blocks according to the scheme in Figure 2. Vertical gray bars indicate the latewood area of individual tree rings. Online laser ablation-combustion-GC-IRMS (LA-C-GC-IRMS) is a fast and reliable method for measuring δ 13C in solid biological samples. Our current measurement scheme allows us to take a sample (i.e., a laser shot) every 6 to 8 min. This procedure leaves the cores intact (Figure 2), providing the opportunity to study and relate the anatomical features of the wood (cell type, cell size, width of cell wall, etc.) in the vicinity of individual ablation holes to isotopic composition. The core or sections of the core can also be used for dendrochronological investigations, X-ray densitometry, radiocarbon dating and dendrochemical analyses. At the same time, the LA-C-GCIRMS method avoids several disadvantages of the conventional EA-IRMS method which uses thin wood sections, including time-consuming sample preparation and the danger of cross-contamination during the tedious and difficult handling of tiny samples from microtome sectioning, homogenization and extraction (Loader et al. 2002). Furthermore, the diameter of typical thin slivers are at least as large as the core diameter. If the orientation of the cell rows is not perpendicular to the core, the microtome cuts through several cell layers, smearing the temporal/spatial signal. With the LA-C-GC-IRMS method, sample size can be controlled by adjusting the laser frequency and intensity, and it is also possible to adjust the laser path to the curvature of the cell rows. The twofold lower variability in δ13C of the cellulose filter paper compared with the bamboo internode illustrates the superiority of cellulose filter paper as an internal standard. Standard deviation of routine EA-IRMS measurements of standard material was about three times lower than measurements with LA-C-GC-IRMS. However, when the amount of the sample material was reduced to an amount equivalent to the yield of the laser ablation, the standard deviation of the EA-IRMS measurements was slightly higher than the standard deviation of the LA-C-GC-IRMS measurements. Thus, the LA-C-GC-IRMS technique shows good precision for detection of intra-annual variability in tree rings. The drift in the internal standard values during a measuring period of about 6 months revealed an unidentified fractionation step of the sample gas during pas- Figure 9. Comparison of the radial course of δ13C in cores from two trees from the same stand for the 18-year period between 1941 and 1958. Tree 18 (solid line) was a dominant tree and Tree 16 (dashed line) was a codominant tree. Vertical lines indicate individual tree rings. TREE PHYSIOLOGY VOLUME 24, 2004 A NEW METHOD FOR δ13C ANALYSIS IN TREE RINGS sage through the system (Figure 4). We have been unable to clarify the nature of this additional discrimination step. It may be related to plugging or a leak in the system, although loss of reactor oxidation capacity or insufficient water removal could also contribute to such fractionation. However, the exact magnitude of the bias has been quantified and corrected for. A gradual increase in the variation of δ13C of the internal standard indicated the need to regenerate the reactor or replace and oxidize the Cu wires. In general, the measurements of the cellulose filter paper showed high stability of the system over a measuring period of about 2.5 h. To exploit the full potential of the LA-C-GC-IRMS method, in terms of increased sample throughput, and to allow subsequent investigations of the core, whole-wood samples should be used. Previously, the majority of dendroclimatological isotope studies have extracted cellulose from tree rings before analysis for several reasons. Whole wood is a complex mixture of substances that differ in their δ 13C values. Lignin, which is a product of secondary metabolism is, on average, depleted by 2 to 4‰ relative to cellulose (Benner et al. 1987). Therefore, any substantial change in the ratio of cellulose and lignin inevitably leads to a shift in δ 13C, obscuring the isotopic signal of discrimination during C fixation. Furthermore, it has been reported that lignin is deposited in cell walls toward the end of the growing season (Kozlowski and Pallardy 1997), suggesting that it is built from photosynthates that were formed later than those used to produce the cellulose of the same cell. Bulk wood analysis makes comparison of samples from other stands difficult, because stand conditions influence wood composition. Nonetheless, several studies have shown that, for the same material, the isotopic offset between cellulose and wholewood measurements is constant (Wilson and Grinsted 1977, Livingston and Spittlehouse 1996, Leuenberger et al. 1998, Schleser et al. 1999a, Loader et al. 2003). In addition, analyses of the ultrastructure and chemical composition of wood suggest that the differences in the lignin to cellulose ratio between early- and latewood are too small to cause a significant shift in the isotopic signal (Walcroft et al. 1997). Based on data on volume share and lignin concentration of three cell wall compartments (secondary cell wall, middle lamella and cell corner) in both early- and latewood (Sjöström 1993, Gindl 2001), a theoretical seasonal decline of 0.08‰ can be attributed to ultrastructural differences. This effect is small compared with the magnitude of the seasonal oscillation that covers a range of almost 5‰. Given these findings and the near-constant offset between whole-wood and cellulose samples in our study, we recommend that only mobile substances be removed from the cores. If cellulose must be extracted from the cores, we recommend the cellulose extraction method described by Loader et al. (1997, 2002). These authors present a method for extracting cellulose from more or less intact cores that can be probed by laser ablation. However, because even this careful extraction method distorts the cellular dimensions, the possibility of performing subsequent anatomical analyses is limited. Compared with the EA-IRMS method, the accuracy of the LA-C-GC-IRMS method was high, notwithstanding that matching of the two data sets for statistical comparison was complicated by the different spatial resolutions, such that several laser shots had to be averaged to represent the thick tree ring 1199 subsections measured by EA-IRMS. The LA technique facilitated analysis of minute spatial differences within the wood material, which maybe responsible for some of the scatter in Figure 7. The EA-IRMS method averages this important information. Comparison of δ13 C values in adjacent lines of ablation shots in Tree 18 revealed a remarkably parallel course of the three lines (Figure 8). However, the neighboring three shots do not represent true replicates for two reasons. First, tangential variability cannot be excluded, even at this small spatial scale. Second, the cell rows are not always parallel, or of constant width. It is therefore not always possible to position a triplet exactly within a homogeneous tissue layer. The same congruence between isotopic patterns was observed when comparing two whole wood cores taken from two trees (Tree 16 and 18) in the same stand (Figure 9). The range of values within the smaller codominant Tree 16 was slightly larger than those in the dominant Tree 18. The similarity of the intra- and interannual courses of the δ 13C values between trees confirmed that the observed signal is predominately influenced by stand growth conditions, not individual features of the morphology and physiology of the two trees. The intra-annual pattern of δ 13C followed the typical course for coniferous species with a gradual increase in δ 13C in the earlywood and a sharp decline during latewood formation. Similar intra-annual patterns of δ13C values in tree rings have been reported for other coniferous species: Pinus radiata D. Don (Walcroft et al. 1997, Warren et al. 2001, Barbour et al. 2002), Pinus strobus L. (Leavitt 1993), Pinus pinaster Ait. (Warren et al. 2001), Pinus ponderosa (Leavitt and Long 1991), Abies kawakamii (Hayata) Ito (Sheu et al. 1996) and Picea abies (L.) Karst. (unpublished observations, G.H. Schleser, Forschungszentrum Jülich, Germany). There is general agreement that this δ13C signature reflects the interaction between micrometeorological variables and soil water availability (Barbour et al. 2002). In contrast, many deciduous species exhibit a decrease in δ13C (more positive values) in earlywood that is unrelated to climate (Populus nigra L., Fagus sylvatica L., Quercus petraea (Matt.) Liebl., Morus alba L.; Schleser et al. (1999b), Helle and Schleser (2004)). Carryover effects from photosynthates fixed in the previous growing season and discrimination along with high rates of growth respiration during rapid earlywood formation have been proposed as possible mechanisms (Schleser 1992, Schleser et al. 1999b, Damesin and Lelarge 2003, Helle and Schleser 2004). Ring-porous broadleaf trees rely on the rapid formation of large earlywood vessels, because most old vessels are cavitated by the end of the winter (Kozlowski and Pallardy 1997). In contrast, in conifers, the earlywood is usually assimilated directly from the currently fixed carbon and the gradual start of earlywood formation does not require high physiological activity (Dickmann and Kozlowsk 1970, Glerum 1980). The major application of LA-C-GC-IRMS is in high-resolution dendroclimatology and plant physiology. In wide tree rings, individual laser ablation holes can represent tissue layers formed within a few days. Barbour et al. (2002) were able to relate short-term climatic events such as drought or high rainfall to the isotopic signature of tissue layers formed within 3 days to 3 weeks. However, transforming the spatial sequence TREE PHYSIOLOGY ONLINE at http://heronpublishing.com 1200 SCHULZE ET AL. of laser holes into a temporal scale is not trivial. Although some older studies relied on visual comparison of the relative position of peaks and troughs in isotope and climate data (Loader et al. 1995), two more recent studies used material from trees with known or modeled growth rates (Walcroft et al. 1997, Barbour et al. 2002). Exact growth rates can be known only if the diameter increment has been recorded with dendrometer bands. Because such direct growth measurements are scarce, it is necessary to use proxies for growth rates. The most promising proxies are anatomical parameters like cell number, cell dimensions, cell wall thickness and tissue density. Vysotskaya et al. (1985) presented a procedure of converting cell-size measurements to growth rate estimates. Once calibrated for a certain site, such transfer functions can provide a time-match between δ13C and real time climate data based on cell size arrays of the same core. At this early stage of method development, we focused primarily on precision rather than speed, so there remains potential for large improvement. Currently, the rate-limiting step of the measurement process is the separation of gases in the GC column. We are analyzing the performance of GC columns that can operate at higher carrier gas flow rates. Furthermore, the sample chamber design can be improved to fit the elongated shape of tree cores. This would minimize the air volume around the sample core, reducing the time required to flush the chamber and allow for more sample shots in a sequence. Recent publications have emphasized the importance of simultaneous measurements of δ 13 C and δ 18 O, because the relative responses of these two ratios can be related to plant sensitivity to evaporative conditions (Barbour et al. 2000, 2002, Saurer 2003). Measurement of δ18 O by LA-C-GC-IRMS is possible in principle, but will require substantial modifications of the interface, including installation of a high-temperature pyrolysis reactor with a carbon-dominated oxygen-free environment, which is a technical challenge. Nonetheless, our initial data show a high potential of the laser ablation methodology that could form the basis of a link between tree ring chronology and climate research at the cellular level. Acknowledgments We gratefully acknowledge the support from Finnigan MAT in Bremen who generously provided the prototype interface for this study, originally developed by Wieser and Brand. We thank Heike Geilmann for measuring the EA-IRMS samples and Roland Werner from the Isolab at the Max Planck Institute for Biogeochemistry for many hours of help, troubleshooting and fruitful discussions. References Arneth, A., J. Lloyd, H. Santruckova, M. Bird, S. Grigoryev, Y.N. Kalaschnikov, G. Gleixner and E.-D. Schulze. 2002. Response of central Siberian Scots pine to soil water deficit and long-term trends in atmospheric CO2 concentration. Global Biogeochem. Cycles 16: 1–13. Barbour, M.M., U. Schurr, B.K. Henry, S.C. Wong and G.D. Farquhar. 2000. Variation in the oxygen isotope ratio of phloem sap sucrose from castor bean. Evidence in support of the Peclet effect. Plant Physiol. 123:671–679. Barbour, M.M., A.S. Walcroft and G.D. Farquhar. 2002. Seasonal variation in δ13 C and δ18 O of cellulose from growth rings of Pinus radiata. Plant Cell Environ. 25:1483–1499. Bender, M.M. and A.J. Berge. 1982. Carbon isotope records in Wisconsin trees. Tellus 34:500–504. Benner, R., M.L. Fogel, E.K. Sprague and R.E. Hodson. 1987. Depletion of 13 C in lignin and its implication for stable carbon isotope studies. Nature 329:708–710. Damesin, C. and C. Lelarge. 2003. Carbon isotope composition of current-year shoots from Fagus sylvatica in relation to growth, respiration and use of reserves. Plant Cell Environ. 26:207–219. de Silva, M.P. 1979. 13 Carbon-isotope decrease in annual rings of twentieth-century trees. Z. Naturforsch. C. Biosci. 34:644 – 646. Dickmann, D.I. and T.T. Kozlowski. 1970. Mobilization and incorporation of photoassimilated 14 C by growing vegetative and reproductive tissues of adult Pinus resinosa Ait. trees. Plant Physiol. 45: 284 –288. Dupouey, J.L., S. Leavitt, E. Choisnel and S. Jourdain. 1993. Modeling carbon isotope fractionation in tree rings based on effective evapotranspiration and soil-water status. Plant Cell Environ. 16: 939–947. Duquesnay, A., N. Breda, M. Stievenard and J.L. Dupouey. 1998. Changes of tree-ring δ13 C and water-use efficiency of beech (Fagus sylvatica L.) in north-eastern France during the past century. Plant Cell Environ. 21:565–572. Farquhar, G.D., M.H. Oleary and J.A. Berry. 1982. On the relationship between carbon isotope discrimination and the inter-cellular carbon dioxide concentration in leaves. Austr. J. Plant Physiol. 9: 121–137. Freyer, H.D. and N. Belacy. 1983. 13 C/ 12 C Records in northern hemispheric trees during the past 500 years—anthropogenic impact and climatic superpositions. J. Geophys. Res. 88:6844 – 6852. Garbe-Schoenberg, C.D., C. Reimann and V.A. Pavlov. 1997. Laser ablation ICP–MS analyses of tree-ring profiles in pine and birch from N Norway and NW Russia. A reliable record of the pollution history of the area? Environ. Geol. 32:9–16. Gindl, W. 2001. The effect of varying latewood proportion on the radial distribution of lignin content in a pine stem. Holzforschung 55:455–458. Gleixner, G., H.J. Danier, R.A. Werner and H.L. Schmidt. 1993. Correlations between the 13C content of primary and secondary plant products in different cell compartments and that in decomposing basidiomycetes. Plant Physiol. 102:1287–1290. Gleixner, G., C. Scrimgeour, H.L. Schmidt and R. Viola. 1998. Stable isotope distribution in the major metabolites of source and sink organs of Solanum tuberosum L.: a powerful tool in the study of metabolic partitioning in intact plants. Planta 207:241–245. Glerum, C. 1980. Food sinks and food reserves of trees in temperate climates. N.Z. J. For. Sci. 10:176–185. Hanba, Y.T., K. Matsui and E. Wada. 1996. Solar radiation affects modern tree-ring δ13 C: observations at a cool-temperate forest in Japan. Isotopes Environ. Health Stud. 32:55–62. Helle, G. and G.H. Schleser. 2004. Beyond CO2-fixation by Rubisco — an interpretation of 13 C/ 12 C variations in tree rings from novel intra-seasonal studies on broad-leaf trees. Plant Cell Environ. 27:367–380. Hemming, D., H. Fritts, S.W. Leavitt, W. Wright, A. Long and A. Shashkin. 2001. Modelling tree-ring δ13 C. Dendrochronologia 19:23–38. Hill, S.A., J.S. Waterhouse, E.M. Field, V.R. Switsur and T. ap Rees. 1995. Rapid recycling of triose phosphates in oak stem tissue. Plant Cell Environ. 18:931–936. Jaggi, M., M. Saurer, J. Fuhrer and R. Siegwolf. 2002. The relationship between the stable carbon isotope composition of needle bulk material, starch, and tree rings in Picea abies. Oecologia 131: 325–332. TREE PHYSIOLOGY VOLUME 24, 2004 A NEW METHOD FOR δ13C ANALYSIS IN TREE RINGS Kagawa, A., D. Naito, A. Sugimoto and T.C. Maximov. 2003. Effects of spatial and temporal variability in soil moisture on widths and δ 13 C values of eastern Siberian tree rings. J. Geophys. Res. Atmos. 108:1–8. Kozlowski, T.T. and S.G. Pallardy. 1997. Growth control in woody plants. In Physiological Ecology Series. Ed. H.A. Mooney. Academic Press, San Diego, 641 p. Leavitt, S.W. 1993. Seasonal 13C/12C changes in tree rings: species and site coherence, and possible drought influences. Can. J. For. Res. 23:210–218. Leavitt, S.W. and A. Long. 1982. Evidence for 13C/ 12C fractionation between tree leaves and wood. Nature 298:742–744. Leavitt, S.W. and A. Long. 1986. Stable-carbon isotope variability in tree foliage and wood. Ecology 67:1002–1010. Leavitt, S.W. and A. Long. 1989a. Drought indicated in carbon-13/ carbon-12 ratios of southwestern tree rings. Water Resour. Bull. 25: 341–347. Leavitt, S.W. and A. Long. 1989b. Intertree variability of δ 13 C in tree rings. In Stable Isotopes in Ecological Research. Eds. P.W. Rundel, J.R. Ehleringer and K.A. Nagy. Springer-Verlag, New York, 525 p. Leavitt, S.W. and A. Long. 1991. Seasonal stable-carbon isotope variability in tree rings: possible paleoenvironmental signals. Chem. Geol. 84:59–70. Leuenberger, M., S. Borella, T. Stocker, M. Saurer, R. Siegwolf, F. Schweingruber and R. Matyssek. 1998. Stable isotopes in tree rings as climate and stress indicators. In Final Report NRP 31. vdf Hochschulverl. an der ETH, Zürich, 200 p. Livingston, N.J. and D.L. Spittlehouse. 1996. Carbon isotope fractionation in tree ring early- and latewood in relation to intra-growing season water balance. Plant Cell Environ. 19:768–774. Loader, N.J., V.R. Switsur and E.M. Field. 1995. High-resolution stable isotope analysis of tree rings: implications of ‘microdendroclimatology’ for palaeoenvironmental research. Holocene 5: 457–460. Loader, N.J., I. Robertson, A.C. Barker, V.R. Switsur and J.S. Waterhouse. 1997. An improved technique for the batch processing of small wholewood samples to α-cellulose. Chem. Geol. 136:313–317. Loader, N.J., I. Robertson, A. Lücke and G. Helle. 2002. Preparation of holocellulose from standard increment cores for stable carbon isotope analysis. Swansea Geographer 37:1–9. Loader, N.J., I. Robertson and D. McCarroll. 2003. Comparison of stable carbon isotope ratios in the whole wood, cellulose and lignin of oak tree-rings. Paleogeogr. Paleoclimatol. Palaeoecol. 196:395– 407. McNulty, S.G. and W.T. Swank. 1995. Wood δ 13 C as a measure of annual basal area growth and soil–water stress in a Pinus strobus forest. Ecology 76:1581–1586. Ogle, N. and F.G. McCormac. 1994. High-resolution δ 13 C measurements of oak show a previously unobserved spring depletion. Geophys. Res. Lett. 21:2373–2375. Pate, J. and D. Arthur. 1998. δ13 C analysis of phloem sap carbon: novel means of evaluating seasonal water stress and interpreting carbon isotope signatures of foliage and trunk wood of Eucalyptus globulus. Oecologia 17:301–311. Robertson, I., J. Rolfe, V.R. Switsur, A.H.C. Carter, M.A. Hall, A.C. Barker and J.S. Waterhouse. 1997a. Signal strength and climate relationships in 13C/ 12C ratios of tree ring cellulose from oak in southwest Finland. Geophys. Res. Lett. 24:1487–1490. Robertson, I., V.R. Switsur, A.H.C. Carter, A.C. Barker, J.S. Waterhouse, K.R. Briffa and P.D. Jones. 1997b. Signal strength and climate relationships in 13C/ 12C ratios of tree ring cellulose from oak in east England. J. Geophys. Res. Atmos. 102:19,507–19,516. Saurer, M. 2003. The influence of climate on the oxygen isotopes in tree rings. Isot. Environ. Health Stud. 39:105–112. 1201 Scheidegger, Y., M. Saurer, M. Bahn and R. Siegwolf. 2000. Linking stable oxygen and carbon isotopes with stomatal conductance and photosynthetic capacity: a conceptual model. Oecologia 125: 350–357. Schleser, G.H. 1992. δ13 C pattern in a forest tree as an indicator of carbon transfer in trees. Ecology 73:1922–1925. Schleser, G.H., J. Frielingsdorf and A. Blair. 1999a. Carbon isotope behaviour in wood and cellulose during artificial aging. Chem. Geol. 158:121–130. Schleser, G.H., G. Helle, A. Lucke and H. Vos. 1999b. Isotope signals as climate proxies: the role of transfer functions in the study of terrestrial archives. Quat. Sci. Rev. 18:927– 943. Schmidt, H.-L. and G. Gleixner. 1998. Carbon isotope effects on key reactions in plant metabolism and 13C-patterns in natural compounds. In Stable Isotopes. Ed. H. Griffith. BIOS Scientific Publisher, Oxford, 438 p. Sharp, Z.D. and T.E. Cerling. 1996. A laser GC–IRMS technique for in situ stable isotope analyses of carbonates and phosphates. Geochim. Cosmochim. Acta 60:2909–2916. Sheu, D.D., P. Kou, C.H. Chiu and M.J. Chen. 1996. Variability of tree-ring δ13 C in Taiwan fir: growth effect and response to May– October temperatures. Geochim. Cosmochim. Acta 60:171–177. Sjöström, E. 1993. Wood chemistry—fundamentals and applications. Academic Press, San Diego, 293 p. Stuiver, M., R.L. Burk and P.D. Quay. 1984. 13 C/ 12 C ratios in tree rings and the transfer of biospheric carbon to the atmosphere. J. Geophys. Res. Atmos. 89:1731–1748. Tang, K.L., X.H. Feng and G. Funkhouser. 1999. The δ13 C of tree rings in full-bark and strip-bark bristlecone pine trees in the White Mountains of California. Global Change Biol. 5:33– 40. Vysotskaya, L.G., A.V. Shashkin and E.A. Vaganov. 1985. Analysis of the size distribution of tracheids in the annual rings of pines growing under various moisture conditions. Sov. J. Ecol. 16: 29 –34. Walcroft, A.S., W.B. Silvester, D. Whitehead and F.M. Kelliher. 1997. Seasonal changes in stable carbon isotope ratios within annual rings of Pinus radiata reflect environmental regulation of growth processes. Aust. J. Plant Physiol. 24:57–68. Warren, C.R., J.F. McGrath and M.A. Adams. 2001. Water availability and carbon isotope discrimination in conifers. Oecologia 127: 476–486. Werner, R.A. and W.A. Brand. 2001. Referencing strategies and techniques in stable isotope ratio analysis. Rapid Commun. Mass Spectrom. 15:501–519. Wieser, M.E. and W.A. Brand. 1999. A laser extraction combustion technique for in situ δ13 C analysis of organic and inorganic materials. Rapid Commun. Mass Spectrom. 13:1218–1225. Wilson, A.T. and M.J. Grinsted. 1977. 12C/ 13C in cellulose and lignin as palaeothermometers. Nature 265:133–135. Wirth, C., C.I. Czimczik and E.-D. Schulze. 2002a. Beyond annual budgets: carbon flux at different temporal scales in fire-prone Siberian Scots pine forests. Tellus Ser. B-Chem. Phys. Meteorol. 54: 611–630. Wirth, C., E.-D. Schulze, V. Kusznetova, I. Milyukova, G. Hardes, M. Siry, B. Schulze and N.N. Vygodskaya. 2002b. Comparing the influence of site quality, stand age, fire and climate on aboveground tree production in Siberian Scots pine forests. Tree Physiol. 22: 537–552. Wirth, C., E.-D. Schulze, B. Luhker, S. Grigoriev, M. Siry, G. Hardes, W. Ziegler, M. Backor, G. Bauer and N.N. Vygodskaya. 2002c. Fire and site type effects on the long-term carbon and nitrogen balance in pristine Siberian Scots pine forests. Plant Soil 242:41–63. Zimmermann, B., G.H. Schleser and A. Brauning. 1997. Preliminary results of a Tibetan stable C-isotope chronology dating from 1200 to 1994. Isot. Environ. Health Stud. 33:157–165. TREE PHYSIOLOGY ONLINE at http://heronpublishing.com
© Copyright 2025 Paperzz