SEARCH

SEARCH BY CITATION

Keywords:

  • carbon dioxide (CO2);
  • organic;
  • plant;
  • photosynthesis;
  • respiration;
  • soil

Abstract

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

Contents

 Summary1 
I.Introduction2 
II.Isotopic composition of plant metabolites and autotrophic respiration3 
III.Isotopic composition of plant and ecosystem carbon pools8 
IV.Isotopic composition of assimilation and respiration fluxes9 
V.Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production11 
VI.Conclusions and suggestions for further research12
 Acknowledgements13 
 References13 

Summary

Stable carbon isotopes are used extensively to examine physiological, ecological, and biogeochemical processes related to ecosystem, regional, and global carbon cycles and provide information at a variety of temporal and spatial scales. Much is known about the processes that regulate the carbon isotopic composition (δ13C) of leaf, plant, and ecosystem carbon pools and of photosynthetic and respiratory carbon dioxide (CO2) fluxes. In this review, systematic patterns and mechanisms underlying variation in δ13C of plant and ecosystem carbon pools and fluxes are described. We examine the hypothesis that the δ13C of leaf biomass can be used as a reference point for other carbon pools and fluxes, which differ from the leaf in δ13C in a systematic fashion. Plant organs are typically enriched in 13C relative to leaves, and most ecosystem pools and respiratory fluxes are enriched relative to sun leaves of dominant plants, with the notable exception of root respiration. Analysis of the chemical and isotopic composition of leaves and leaf respiration suggests that growth respiration has the potential to contribute substantially to the observed offset between the δ13C values of ecosystem respiration and the bulk leaf. We discuss the implications of systematic variations in δ13C of ecosystem pools and CO2 fluxes for studies of carbon cycling within ecosystems, as well as for studies that use the δ13C of atmospheric CO2 to diagnose changes in the terrestrial biosphere over annual to millennial time scales.


I. Introduction

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

Differences in the stable carbon (C) isotopic composition (δ13C) of organic and inorganic compounds are useful for studying processes that control C cycling within and between plants, animals, and ecosystems, and exchanges between these and other reservoirs and the atmosphere and hydrosphere. δ13C is defined by the equation δ13C = (Rsample/RVPDB – 1) × 1000‰, where R is the molar ratio of 13C/12C and VPDB is the Vienna Pee Dee Belemnite laboratory standard. For a review of isotope terminology, see Farquhar et al. (1989). Here we use δ13C to refer to isotopic composition in general, and δ13CO2 to refer to the isotopic composition of CO2.

Plants are isotopically ‘lighter’ than CO2 in air, meaning that they contain less 13C relative to 12C in their tissues than atmospheric CO2. This is a result of differences in diffusion rates of 12CO2 and 13CO2 into leaves, and especially differences in reaction rates with Rubisco during carboxylation. There is a rich understanding of the processes that control the C isotope discrimination (Δ) associated with photosynthesis, and C isotope studies have made important contributions to much of our understanding of plant physiology and ecosystem ecology. Isotope discrimination is defined as the isotope effect in the conversion from substrate to product: Δ = (δsubstrate – δproduct)/(1 + δproduct/1000). For photosynthesis, the substrate is CO2 in air, and the product is either bulk leaf biomass or photosynthetic sugars. For respiration, the substrate is harder to define, and the product (respiratory CO2) is usually compared with possible substrates for respiration (glucose, starch, lipids, etc.). For this reason, respiratory discrimination is usually referred to as apparent respiratory discrimination. In this paper, we use ΔA to refer to discrimination associated with photosynthesis.

A host of processes influence the δ13C of bulk leaf material, including light, photosynthetic capacity, water availability, atmospheric humidity, and others, which have been thoroughly reviewed (Farquhar et al., 1989; Brugnoli & Farquhar, 2000; Dawson et al., 2002). Here we explore the hypothesis that bulk leaf δ13C, which is controlled by physiological and ecological factors, can be used as a reference point from which there are predictable differences in the δ13C of plant and ecosystem C pools and fluxes. Such differences can be utilized to make inferences about ecosystem C cycling and related effects on the isotopic composition of atmospheric CO2. This hypothesis has strong support when comparing the isotopic composition of leaf metabolites to that of the bulk leaf, as noted by others (e.g. Boutton, 1996). In this review, we will show that it also appears valid when comparing bulk leaf biomass to specific plant tissue classes (e.g. phloem sap organics, wood, or roots), to ecosystem C pools (e.g. bulk soil organic matter or fungal biomass) and to respiratory fluxes (from leaves, roots, soil, and whole forests). While the concepts developed here may have applicability to C4 systems, we have restricted our analysis to vascular plants and associated ecosystems that are dominated by the C3 photosynthetic pathway.

Our choice of bulk leaf tissue as the isotopic reference point is one of pragmatism. One could argue that triose phosphates or leaf sugars would be a better choice, as they are more directly linked to photosynthetic discrimination than the bulk leaf tissue. Alternatively, leaf or wood cellulose might be appropriate because of its stability. While appealing, these are not commonly measured in the majority of studies relevant to this review. The most commonly measured organic component δ13C in plant and ecosystem studies is the bulk leaf tissue, and for this reason we use it as our common unit for comparison.

A conceptual example helps to illustrate our central theme (Fig. 1). The isotopic composition of atmospheric CO2 (which we denote δ13CO2) currently averages c. –8‰, while the δ13C of C3 plants ranges from –20 to –35‰ because of variability in photosynthetic discrimination (Dawson et al., 2002). As a consequence, the C that returns to the atmosphere through release of respiratory CO2 from plants and animals is depleted in 13CO2 relative to the atmosphere, and therefore the δ13C of whole-forest respiration in C3 ecosystems ranges from –24 to –30‰. (‘Enriched’ and ‘depleted’ refer to the relative amount of each isotope in one sample relative to another. Sample A is enriched (or depleted) relative to sample B if 13C/12C for sample A is larger (or smaller) than for sample B. In δ notation, sample A is enriched (or depleted) relative to sample B if δ13CA is less (or more) negative than δ13CB.) Several studies have shown that δ13C of leaves varies across broad gradients of precipitation, with the general pattern that plants in wetter ecosystems tend to have more negative δ13C in their leaves than those in drier regions (Read & Farquhar, 1991; Stewart et al., 1995; but see Schulze et al., 1998). As we will show, there is substantial post-photosynthetic discrimination against 13C during plant tissue synthesis, and the relationship between respiration and bulk leaf composition shown in Fig. 1 follows as a result. A similar pattern in δ13C of respiration has been observed across a wide range of biomes; for sites that ranged in mean annual precipitation from 200 to 2300 mm, the δ13C of ecosystem respiration ranged from −24 to −30‰ (Fig. 1, and Pataki et al., 2003). Therefore, ecological factors (precipitation in this example) influence the δ13C of photosynthate, which influences the δ13C of plant tissues, plant respiration, and ecosystem respiration. We present evidence in this paper that many C pools and fluxes show systematic offsets from bulk leaf δ13C.

image

Figure 1. A conceptual relationship among the carbon isotopic composition (δ13C) of bulk leaf biomass (black line, which is hypothetical), ecosystem respiration (gray line, which is observed) and mean annual precipitation (MAP). The ecosystem respiration line is a regression of data points below 2300 mm MAP from fig. 10 of Pataki et al. (2003); y = −0.00167x – 24.5; r2 = 0.94. The hypothetical bulk leaf line is offset from the ecosystem respiration line by the mean offset (1.7‰) between them found in the present study and shown in Fig. 4. Pataki et al. (2003) showed a similar offset between leaves and ecosystem respiration in their fig. 6, but the actual relationships between MAP and the δ13C of leaves and of ecosystem respiration are more complex than this simplified example implies.

Download figure to PowerPoint

Isotopic mass balance at the leaf, plant, and ecosystem scales is unattainable at present because of gaps in our understanding of several processes. Ideally, to fully utilize the information contained in the δ13C of terrestrial ecosystems, an understanding of all the processes that influence the δ13C of C pools and fluxes is necessary. In this review we summarize the current understanding of the factors that influence the C isotopic composition of plant and ecosystem C pools and fluxes, with an emphasis on systematic patterns of the δ13C of pools and fluxes relative to bulk leaf organic matter. The first section is a discussion of the isotopic composition of plant metabolites and leaf respiration, followed by a review of observed patterns in δ13C of plant and ecosystem C pools. Next, we examine the isotope content of assimilation and respiration fluxes, and then discuss these fluxes at various spatial scales, with an emphasis on interpreting the atmospheric record of δ13CO2. We conclude with a discussion of important areas for future research.

II. Isotopic composition of plant metabolites and autotrophic respiration

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

1. Variability in δ13C of plant metabolites

The factors that affect photosynthetic discrimination and the isotopic composition of bulk leaf biomass and organic compounds within leaves and other plant organs have been reviewed in detail (O’Leary, 1981; Farquhar et al., 1989; Dawson et al., 2002; Ghashghaie et al., 2003; Hobbie & Werner, 2004). Photosynthetic discrimination is often estimated with the simplified model ΔΑ=a+ (ba)ci/ca, where a is diffusive fractionation (4.4‰), b is enzymatic fractionation, primarily Rubisco (27‰), and ci/ca is the ratio of CO2 in the intercellular air space to that outside the leaf. This model (or the more detailed form) is commonly called the Farquhar et al. model after a highly influential paper by Graham Farquhar, Marion O’Leary, and Joe Berry (Farquhar et al., 1982). Hence, discrimination varies in response to factors that influence the balance between photosynthetic drawdown of CO2 in the substomatal cavity and the diffusion of CO2 into the leaf, and therefore in response to ci/ca. For example, the influence of light availability on photosynthetic capacity leads to variation in the δ13C of leaves at different heights within a forest, with most negative values of δ13C in leaves near the ground and least negative values at the top of the canopy (e.g. Martinelli et al., 1998; Pate & Arthur, 1998). Environmental conditions that result in stomatal closure such as drought, low atmospheric humidity, or nutrient stress generally decrease ΔΑ, causing plant biomass and leaf sugars to be relatively enriched under these conditions (e.g. Brugnoli et al., 1988; Madhavan et al., 1991; Gaudillere et al., 2002).

Within a plant, the δ13C of organic compounds varies (e.g. Gleixner et al., 1998), as a result primarily of isotope effects expressed at branch points in biochemical pathways. No fractionation is observed if all of a particular substrate is converted to a product. Biosynthesis of reduced compounds from photosynthetic sucrose involves numerous biochemical pathways in which enzymatic and positional isotope effects may be expressed, resulting in fairly systematic, compound-specific values of δ13C for plant organic compounds (Fig. 2). For example, sucrose and starch are isotopically enriched relative to bulk leaves, while lipids and lignin are generally depleted (Fig. 2). The depletion of lipids appears to originate in the oxidation of pyruvate to acetyl CoA by the pyruvate dehydrogenase complex (DeNiro & Epstein, 1977). All metabolic products derived from acetyl CoA are expected to be isotopically depleted as a result of enzymatic fractionation.

image

Figure 2. (a) An update of the analysis of fig. 4 in Boutton (1996) comparing the isotopic composition of compounds isolated from leaves of C3 vascular plants, expressed relative to bulk leaf biomass. The boxes encompass the upper and lower quartiles of the data, the line shows the median, the symbol shows the arithmetic mean, and the error bars show the upper and lower 10th percentiles of the data. The vertical dashed line is included for easy reference to the δ13C of leaf sugars. (b) Number of samples (n) and references used for each category.

Download figure to PowerPoint

2. Isotope effects influencing leaf respiration

The isotope effects addressed above for biosynthetic pathways may also directly influence the δ13C of respiratory CO2, as the biochemical pathways are interrelated. Positional isotope effects refer to nonrandom, intramolecular distributions of heavy and light isotopes. For example, C at position 4 of glucose tends to be enriched relative to the whole molecule, while position 6 tends to be depleted (Rossmann et al., 1991). In addition, there may be kinetic effects in respiratory enzymes such as pyruvate dehydrogenase, which are temperature and substrate dependent (DeNiro & Epstein, 1977; Melzer & Schmidt, 1987). The net result of these effects is that isotopic depletion or enrichment of biosynthetic products must be balanced by opposing effects elsewhere in the plant, including evolved CO2. In the case of acetyl-CoA synthesis, oxidation of pyruvate releases CO2 that is enriched relative to the pyruvate substrate, as the acetyl CoA is generally depleted (DeNiro & Epstein, 1977; Melzer & Schmidt, 1987).

In reviews of the early literature on the δ13C of dark respiration, O’Leary (1981) and Farquhar et al. (1982) noted that comparisons of respiratory CO2 and plant biomass yielded inconsistent differences, with respiration sometimes more enriched or more depleted than leaves (Park & Epstein, 1961; Smith, 1971; Troughton et al., 1974). Therefore, it was assumed that fractionation in autotrophic respiration was negligible and could be neglected in assessing the major factors controlling the isotopic composition of plants. Lin & Ehleringer (1997) found that the δ13C of CO2 evolved from isolated mesophyll protoplasts matched that of their sugar substrates, implying that the δ13C of respiratory CO2 is not changed by biochemical reactions of the Krebs cycle, and thus should reflect the respiratory substrate. This differs fundamentally from photosynthetic discrimination, where a biochemical fractionation dominates. Previous literature showing fractionation in dark respiration of up to 8‰ (Park & Epstein, 1961) was attributed to differences in respiratory substrates, such as oxidation of glucose vs lipids (Lin & Ehleringer, 1997).

Several studies have subsequently tested the effects of respiratory substrate by measuring the isotopic composition of CO2 evolved during dark respiration and comparing it to that of plant compounds such as sugars, starch, and lipids (see review by Ghashghaie et al., 2003). Duranceau et al. (1999, 2001) found that respiratory CO2 was enriched by 2–6‰ relative to sucrose in Phaseolus vulgaris and Nicotiana sylvestris, while Ghashghaie et al. (2001) found enrichment of respiratory CO2 in N. sylvestris and Helianthus annuus relative to all measured carbohydrates, organic acids, and lipids.

Tcherkez et al. (2003) further assessed the role of respiratory substrate with simultaneous laboratory measurements of δ13C of dark respiration (leaves in the dark for 2 h or longer) and the respiratory quotient (RQ), the ratio of CO2 produced to O2 consumed during respiration. Oxidation of carbohydrates results in RQ values close to 1, while oxidation of highly reduced compounds results in RQ < 1. At low leaf temperature, the δ13C of respiration in Phaseolus vulgaris was 4‰ enriched relative to sucrose, while RQ was close to 1 (Fig. 3). RQ declined with increasing leaf temperature, suggesting that, as an increasing proportion of reduced respiratory substrates was consumed, the δ13C of respiration became more depleted. These results suggest that the δ13C of dark respiration varies with respiratory substrate, but they also indicate that the δ13C of the CO2 evolved in respiration is offset from the δ13C of the substrate. The mostly likely explanation is fractionation at metabolic branch points between oxidation of pyruvate to CO2 in the Krebs cycle and biosynthetic pathways such as fatty acid synthesis from acetyl CoA. Indeed, the only known process that can account for large enrichments of respiratory CO2 of 6‰ or greater relative to sucrose is the synthesis of equally depleted compounds in lipid production.

image

Figure 3. Leaf respiration rate, respiratory quotient (CO2 produced/O2 consumed; RQ), and isotopic composition of leaf sucrose (Suc), starch (St), proteins (Prot), and lipids (Lip), and leaf-respired CO2 in Phaseolus vulgaris under varying leaf temperature. Reproduced with permission from Tcherkez et al. (2003). ©American Society of Plant Biologists.

Download figure to PowerPoint

Field experiments with Quercus ilex, Quercus cerris, and Pinus elliottii have found a strong pattern of diurnal enrichment in δ13C of CO2 evolved by leaves that were removed from the light and placed in the dark for several minutes (Hymus et al., 2005; Prater et al., 2006; also see Wingate et al., 2007). Respiratory CO2 near the end of the daily photoperiod was enriched by up to 7‰ relative to predawn, and always enriched relative to possible respiratory substrates. These diel changes could not be reconciled with changes in the δ13C of possible respiratory substrates within the leaf, or with environmental changes in ΔA throughout the day (Hymus et al., 2005). There may be differences in the diel pattern of respiratory enrichment in woody vs herbaceous plants. A recent study with Ricinus communis showed that some of the respiratory enrichment during the first 10–15 min following transfer to darkness was transient, and suggested that during the initial dark period the mitochondrial malate pool may be decarboxylated, causing the large initial enrichment (Barbour et al., 2007). Some enrichment always persisted following the transient enrichment.

While important biochemical details associated with the δ13C of leaf respiration remain to be unraveled, a generalization can be made: leaf dark respiration is more enriched in 13C than the bulk leaf tissue. Figure 4 summarizes the results of a literature survey of studies where comparisons of the δ13C of bulk leaf tissue were possible with the δ13C of other categories of plant or ecosystem C pools or respiratory fluxes. Evidence from a large number of studies suggests that leaf dark respiration is usually enriched relative to bulk leaf tissue (Fig. 4), whether the leaves are in the dark for a few minutes or for several hours or days. Other categories in Fig. 4 will be discussed as they are introduced.

image

Figure 4. A comparison of the isotopic composition of plant and ecosystem carbon pools and respiratory fluxes, expressed relative to bulk leaf biomass. Where studies reported sun and shade leaf carbon isotopic composition (δ13C), only sun leaf values were used. The boxes encompass the upper and lower quartiles of the data, the line shows the median, the symbol shows the arithmetic mean, and the error bars show the upper and lower 10th percentiles of the data. The vertical dashed line is included for easy reference to the δ13C of leaf sugars. Horizontal lines separate (a) plant pools, (b) ecosystem pools, and (c) respiratory fluxes. This figure is not meant to be an exhaustive compilation of all relevant studies, rather a compilation large enough to indicate general patterns. No study has examined all of these categories at a single site. Other studies are relevant, but bulk leaf δ13C is not always reported. (d) Number of samples (n) and references used for each category. As some studies reported means and others reported individual sample values, the values of n shown are minima and the actual number of samples is much larger in most cases. SOM, soil organic matter.

Download figure to PowerPoint

3. Relative importance of growth and maintenance respiration

Allocation of C to autotrophic respiration in different ecosystems and under varying environmental conditions remains a source of major uncertainty in the terrestrial C cycle. Autotrophic respiration involves many possible biochemical pathways for generating ATP, NAD(P)H, and biosynthetic intermediates, and is therefore more complex to represent in plant and ecosystem models than photosynthesis (Cannell & Thornley, 2000). A useful concept for modeling autotrophic respiration has been the distinction between growth and maintenance respiration. Growth respiration provides energy, reducing power, and C skeletons for biosynthesis of plant compounds, while maintenance respiration supports existing biomass through replacement of proteins, membranes, and ion gradients (see reviews by Amthor, 2000; Thornley & Cannell, 2000; Gifford, 2003). Although the metabolic pathways for growth and maintenance respiration are the same, growth respiration is theoretically fixed for a given set of plant compounds because of their inherent construction costs, while maintenance respiration varies with environmental conditions such as temperature (Amthor, 1984; Ryan, 1991). Temporal and spatial variability in the δ13C of autotrophic respiration may provide important information about mechanisms underlying variation in growth and maintenance respiration.

Bulk leaf tissue is slightly depleted relative to the sugar substrates from which leaf compounds are produced (Fig. 2). Mass balance dictates that this depletion must be opposed by an enriched pool of C which may leave the leaf via respiration (as discussed) or phloem export. Phloem sap sugars tend to be more enriched than bulk leaf tissue and leaf sugars by a few ‰ (Fig. 4), possibly as a result of fractionation during phloem loading, unloading, or transport (Damesin & Lelarge, 2003; Scartazza et al., 2004), although the mechanisms are not known. In addition, while starch, proteins, and cellulose tend to be enriched relative to bulk leaf material, lignin and lipids can be depleted by several ‰ (Fig. 2). Lignin and lipids constitute c. 10% of the biomass of herbaceous leaves on average, and 20% of the biomass of leaves of woody plants, which tend to have high lignin content (Poorter & Villar, 1997). While these fractions are not large, the synthesis of lipids evolves more CO2 per gram than other compounds. For example, synthesis of 1 g of cellulose evolves c. 3 mmol CO2 in comparison to 36 mmol for 1 g of lipids (Poorter & Villar, 1997). Hence, a small isotopic enrichment relative to sucrose is expected for respiratory CO2 associated with growth.

Using data on the chemical composition of leaves and their construction costs compiled by Poorter & Villar (1997), the C content of different plant compounds from Randerson et al. (2006), and the data in Fig. 2, the isotopic composition of growth respiratory CO2 for an average leaf can be calculated (Table 1). This involves the simplifying assumptions that phloem transport can be neglected and that the mass of each isotope in the compounds created and in the respiratory flux is conserved. Undoubtedly, the first of these assumptions is incorrect, as sugar export is certain to be significant and metabolic and biosynthetic pathways are intricately linked. Nevertheless, this exercise is informative. Starting with photosynthetic sugars with an isotopic composition of −26.0‰, for example, an herbaceous leaf may be expected to have an isotope ratio of –26.9‰, with individual components varying widely, including the fairly depleted lipids (–31.4‰) and lignin (–30.2‰) and enriched cellulose (–25‰) (Fig. 2). The flux-weighted average respiratory CO2 evolved from synthesis of structural and nonstructural carbohydrates, lipids, protein, organic acids, and lignin is –23.5‰ for an herbaceous leaf and –20.9‰ for a woody plant leaf, or 2.5 and 5.1‰ enriched, respectively, relative to leaf sugar. Relative to the bulk leaf these differences are even larger (3.4 and 6.8‰) and imply that growth respiration has the potential to contribute substantially to the offset observed between the δ13C values of ecosystem respiration and the bulk leaf. (Figs 1, 4).

Table 1.  Values used in the calculation of the isotope ratio of growth respiration: the average concentration of compounds in herbaceous and woody leaves, the per cent carbon in each compound, the CO2 produced in the synthesis of each compound, the average carbon isotope ratio (δ13C) of each compound relative to leaf sugars, and the δ13C of growth respiration relative to leaf sugars
CompoundHerbaceousconcentration1 (mg g−1)Woodyconcentration1 (mg g−1)Per cent carbon in compound2CO2 produced1 (mmol g−1)δ13C relativeto sugar (‰)3δ13C of growth respiration relativeto sugar (‰)
Lipids 45 5677.336.5−5.4 10
Protein22213146.837.9−0.6  1
Lignin 4411366.613.1−4.2 18
TSC25318940.02.80.6 −7
TNC17613140.01.80.0  0
Organic acids 83 5141.9−1.0−0.8−28

In practice, larger enrichments of respiratory CO2 relative to sucrose have been reported, with values as high as 6‰ (Duranceau et al., 1999; Ghashghaie et al., 2001; Ghashghaie et al., 2003). This implies a large flux of respiratory CO2 from synthesis of depleted compounds, given the relatively small pool of lipids and lignin in most leaves. The largest component of maintenance respiration is protein turnover, which can account for 60% of maintenance costs (Penning de Vries, 1975). The isotopic composition of amino acids is widely variable (Abelson & Hoering, 1961; Smallwood et al., 2003), reflecting multiple biosynthetic pathways in photosynthesis, glycolysis, and the Krebs cycle (Lea & Ireland, 1999). In higher plants, individual amino acids have been found to be both enriched and depleted relative to the bulk leaf by 6‰ or more (Whelan et al., 1970; Smallwood et al., 2003); an isotopic depletion similar to that of lipids may be expected for amino acids synthesized from Krebs cycle intermediates. Protein turnover may involve recycling of amino acids in addition to the synthesis of new ones (Amthor, 2000), and the effects of both processes on C isotope fractionation have not been well examined. There is a great potential to gain a process-level understanding of maintenance respiration and its variations through evaluation of natural abundance C isotope effects in plant respiration and biosynthetic fractions. Detailed examination of positional isotope effects in various compounds, including amino acids which have a pronounced enrichment in carboxyl groups, may prove particularly useful in the future (Brenna, 2001; Schmidt, 2003; Savidge & Blair, 2004).

A role for maintenance respiration in isotopic enrichment of respiratory CO2 is supported by Ocheltree & Marshall (2004), who found a negative correlation between respiratory enrichment and relative growth rate (RGR). Helianthus annuus growing in low light with low RGR showed enrichment of respiratory CO2 of 6‰ relative to soluble carbohydrates, while plants in high light with high RGR showed enrichment of only 2‰. Maintenance respiration is a larger proportion of total respiratory CO2 in slow-growing as opposed to fast-growing plants (Amthor, 1984), which may explain this pattern. Furthermore, the protein-turnover component of maintenance respiration has been correlated with protein content (Penning de Vries, 1975; Amthor, 1984; Ryan, 1991), which is lower in roots than in shoots (Poorter & Villar, 1997), although roots have a high ion uptake maintenance cost (Amthor, 1984). Klumpp et al. (2005) found that, while the respiratory CO2 of shoots was enriched relative to shoot biomass, root respiratory CO2 was depleted relative to root biomass in H. annuus, Medicago sativa, and Lolium perenne. These findings support a role for maintenance respiration in isotopic enrichment of shoot respiratory CO2; in addition, there are interesting implications for consideration of the isotopic composition of whole-plant respiration. The opposing isotope effects in root and shoot respiration were nearly balanced, so the difference in δ13C between whole-plant respiration and whole-plant biomass was small or negligible (Klumpp et al., 2005). The generality of these results remains to be seen, particularly as the allocation of C to aboveground vs belowground biomass and metabolism may differ for other taxa.

III. Isotopic composition of plant and ecosystem carbon pools

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

1. Plant carbon pools

Plant tissues exhibit systematic differences in their C isotopic composition relative to the leaf (Boutton, 1996; Hobbie & Werner, 2004; Badeck et al., 2005). As mentioned, phloem sap sugars and bulk phloem sap are generally enriched relative to bulk leaf material (Fig. 4) for unknown reasons. Additionally, in a Pinus sylvestris forest phloem sap in boles was more enriched (by 1.1‰) than phloem sap in twigs, a difference that persisted in both summer and winter (Brandes et al., 2007).

The δ13C of phloem sap also varies in response to environmental influences on photosynthetic C isotope discrimination. Pate & Arthur (1998) showed seasonal variability of up to 8‰ in the δ13C of phloem sap of Eucalyptus globulus that matched the seasonal pattern of plant water stress (more enriched during months of low precipitation). Gessler et al. (2001) found that the relationship between leaf water potential and the δ13C of phloem sap was additionally modified by light availability, both in the short term and with aspect relative to the sun. The δ13C of phloem sap has also been related to sap flux-derived canopy conductance (Keitel et al., 2003; Gessler et al., 2004), and to ci/ca from leaf gas exchange (Brandes et al., 2006), further indication that ΔΑ influences short-term variability. Diel variability in the δ13C of water-soluble C in leaves and phloem sap in twigs and boles of P. sylvestris has been observed (Brandes et al., 2006), with peak enrichment occurring during the night/early morning. Correlations have been found between the δ13C of phloem sap and the seasonal pattern of the δ13C of total ecosystem respiration (Scartazza et al., 2004), although the linkages appear quite complex and sometimes are not observed (Barbour et al., 2005).

The systematic offset between the δ13C values of wood and leaf tissue has long been known (Leavitt & Long, 1982). This is apparent as a mean enrichment in woody tissue of boles of 3.2‰, and in twigs of 1.3‰ (Fig. 4). Note, however, that the δ13C of new wood growth is not constant over time. Environmental variation in ΔΑ is transferred to tree rings (e.g. Pate & Arthur, 1998), providing one basis for paleo-ecological environmental studies. There are consistent systematic patterns in the δ13C of wood within annual rings that are independent of photosynthetic fractionation and are likely related to the relative use of stored C reserves vs new photosynthate (Helle & Schleser, 2004). Root tissues are generally enriched relative to leaf tissue, by 2.3‰ on average (Fig. 4). The difference in enrichment among twigs, boles, and roots is not well understood, although it appears fairly robust based on the sample sizes in Fig. 4. Cernusak et al. (2005) reported that newly formed xylem tissue in E. globulus was isotopically similar to phloem sap, suggesting that the enrichment of phloem sap is not associated with wood formation.

2. Ecosystem carbon pools

After aboveground woody tissue senesces and begins decomposing as coarse woody debris, there may be additional enrichment of the dead woody tissue (Fig. 4). Possible reasons for this enrichment are unknown. Laboratory incubation of beech (Fagus crenata) wood with the saprotrophic fungus Trametes versicolor resulted in no change in the δ13C of the remaining wood despite a mass loss of 69% and a 2‰ enrichment in the δ13C of fungal respiration over time (Kohzu et al., 1999). Decomposition studies with various plant materials have shown that the δ13C of the remaining undecomposed tissues becomes more (not less) negative as mass is lost, at least in part as a result of the higher relative abundance of isotopically light lignin (Fernandez et al., 2003; Preston et al., 2006).

Among the categories listed in Fig. 4, the δ13C of litter (organic horizon) was most closely related to that of bulk leaf tissue. This is not surprising, as surface litter in forests is composed primarily of leaves in varying stages of decomposition. Decomposition of above- and belowground C3 plant materials in litterbags in the field has shown enrichment of bulk material as mass is lost, despite increases in lignin proportion (Wedin et al., 1995). Wedin et al. (1995) suggested that incorporation of C from soil organic matter (SOM) into the bulk matrix was the cause of enrichment over time. In general, SOM within the top 10 cm of mineral soil, or the A-horizon, is enriched relative to leaves by c. 2‰ (Fig. 4). This enrichment varies with depth in the soil profile; possible reasons for this have been recently reviewed (Ehleringer et al., 2000).

The biomass of soil microbes, invertebrates, and other heterotrophic organisms, at least the smallest ones, are a small component of the bulk SOM values reported in Fig. 4. It is difficult to estimate the isotopic composition of the soil microbial biomass pool separately from that of the dead organic material in the soil, but the microbial biomass pool is probably enriched by 1–2.5‰ relative to total SOM (Santruckova et al., 2000; Dijkstra et al., 2006). In general, the δ13C of animals reflects the δ13C of their food source. The δ13C of larger soil organisms such as earthworms can be enriched relative to litter by a few ‰ (Uchida et al., 2004). Fungivorous microarthropods, consuming enriched hyphae of both mycorrhizal and saprotrophic fungi, can be enriched above leaves by more than 10‰ (Hobbie et al., 2007).

The isotopic composition of sporocarps (mushrooms) of soil-dwelling fungi has been examined extensively. Fungi that form mycorrhizal symbioses with host plants are enriched relative to bulk leaves by c. 3‰, and saprotrophic fungi are even more enriched, by nearly 6‰ above the leaves of the dominant plants in the forests (Fig. 4). Fungal mycelia, however, are not as enriched as the sporocarps (Wallander et al., 2004; Bostrom et al., 2007). Similar patterns of enrichment are found in nitrogen (N) isotopes, and C and N isotopes are often used together to distinguish the trophic status of fungal species (Högberg et al., 1999; Hobbie et al., 2001). There are poorly understood but consistent differences between fungal taxa at the genus and species levels (Taylor et al., 2003; Trudell et al., 2004). Although there is some evidence for fractionation upon fungal uptake of sucrose in culture (Henn & Chapela, 2000; Henn et al., 2002), it is likely that the difference in the δ13C values of mycorrhizal and saprotrophic fungi reflects a difference in C sources (Henn & Chapela, 2001). The mycorrhizal fungi use C provided by the roots, and the decomposers utilize more enriched soil organic compounds (Fig. 4). The isotopic composition of the root compounds that are provided to the mycorrhizal fungi is unknown but is likely to reflect recent photosynthate that is hours to days old (Högberg et al., 2001; Johnson et al., 2002). The isotopic composition of ‘recent’ photosynthate is difficult to measure, but studies of phloem isotopic composition (e.g. Brandes et al., 2006) provide a reasonable estimate.

A final C pool that deserves attention is the dissolved organic carbon (DOC) in the soil solution. Carbon isotopes are used widely by the limnological community to infer the origin and transport of organic materials from terrestrial to aquatic ecosystems (e.g. Hood et al., 2005), but there have been few studies of the δ13C of DOC within the soil solution in terrestrial ecosystems (Ludwig et al., 2000). One recent study compared the isotopic compositions of leaves, soil, soil solution, and stream water in catchments with deciduous and coniferous vegetation (Amiotte-suchet et al., 2007). SOM was enriched relative to leaves as shown in Fig. 4. The δ13C of the soil solution was c. 1‰ depleted relative to SOM under deciduous vegetation, and c. 1‰ enriched relative to SOM in coniferous forests. Variation with depth in the relationship between the δ13C values of SOM and DOC appears to be important (Ludwig et al., 2000); see Tu & Dawson (2005) for further discussion. We cannot yet provide a range for the isotopic composition of the soil DOC pool, but it may be important in determining overall isotopic mass balance in terrestrial ecosystems (especially for those with high precipitation).

IV. Isotopic composition of assimilation and respiration fluxes

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

With the exception of studies of the leaf level photosynthetic discrimination of net assimilation (leaf uptake – leaf respiration), now routinely measured in the laboratory via online discrimination (Evans et al., 1986), the δ13C of the assimilation flux is difficult to measure. Direct measurements of ΔA at the leaf or branch level in the field are very rare (Harwood et al., 1998; Wingate et al., 2007), and to our knowledge there has been only one attempt to scale such field measurements to an entire vegetation canopy (Tissue et al., 2006). More typically in the field, gas exchange measurements (without isotopes) are used to measure ci/ca, and then ΔA is calculated using the Farquhar et al. model or a variant (e.g. Hymus et al., 2005). Researchers have used tower-based water vapor flux measurements and a Penman–Monteith inversion to calculate a canopy conductance and the Farquhar et al. model or a variant to compute ΔA for a whole forest (Bowling et al., 2001; Ogee et al., 2003; Knohl & Buchmann, 2005). This approach tends to underestimate ΔA relative to estimates that come from multi-layer biophysical models (e.g. compare the results of Bowling et al., 2001 and Baldocchi & Bowling, 2003 for the same forest).

Other studies have used the δ13C of nocturnal whole-ecosystem respiration as a proxy from which to derive ΔA, either directly or indirectly (e.g. Flanagan et al., 1996; Bowling et al., 2002; Alstad et al., 2007). While reasonable, results obtained using this approach differ fundamentally from those obtained using a variety of other measurement and modeling methods that examined ci/ca at different scales in a temperate rainforest (Tissue et al., 2006). The difference may be attributable to a systematic offset in δ13C between assimilation and respiration fluxes, including the expected enrichment from plant growth respiration described in Section II ‘Isotopic composition of plant metabolites and autotrophic respiration’, or to the fact that the δ13C of the assimilation flux is poorly quantified at present at spatial scales larger than a single leaf. Ultimately, the δ13C of the assimilation flux is likely to be more closely related to the isotopic composition of leaf sugars (Fig. 2) or the organics exported from the leaf in the phloem (Fig. 4) than the δ13C of bulk leaves or ecosystem respiration, because of the fractionations associated with leaf respiration, biosynthesis and C allocation discussed above.

Although the biochemical process of mitochondrial respiration does not appear to lead to direct fractionation (Lin & Ehleringer, 1997), the δ13C of respiration differs from that of the bulk organic material that is respiring (such as a leaf or stem) or being decomposed. Theoretical calculations suggest that there may be inherent biochemical fractionations in the Krebs cycle (Tcherkez & Farquhar, 2005). As discussed, leaf respiration is enriched on average above bulk leaf composition by more than 3‰ (Fig. 4).

The isotopic composition of root respiration fluxes is difficult to measure and, to our knowledge, measurements of the δ13C of respiration from intact roots in the field have not been reported. Tu & Dawson (2005) reported a δ13C of root respiration from detached roots that was mildly enriched relative to sun leaves at the top of a Sequoia sempervirens canopy, a result that differs markedly from those of laboratory studies. Klumpp et al. (2005) and Schnyder & Lattanzi (2005) used a special gas exchange system to measure the δ13C of respiration from whole-shoot and whole-root tissues in herbaceous annuals and perennials. They found that root respiration was in general depleted in δ13C relative to bulk leaf (whole shoot) biomass. In partial agreement with these laboratory studies, Badeck et al. (2005) reported that the δ13C of root respiration in P. vulgaris was depleted relative to root sucrose, but not relative to bulk leaf material. Root respiration is the only quantity shown in Fig. 4 that is consistently more negative in δ13C than leaves; a mechanism to explain this trend is lacking. Our understanding of the δ13C of root respiration is limited at present and more studies are needed to determine whether root respiratory CO2 is consistently depleted under field conditions.

The isotopic composition of respiration from stems and boles of living plants is also poorly understood. While woody tissue respiration represents only a few per cent of total ecosystem respiration (e.g. Law et al., 1999), there is evidence to suggest that the CO2 evolved may originate not only from the living cells within the stem, but also from respiration elsewhere (presumably roots) the products of which are transported in the xylem stream (Teskey & McGuire, 2007). Studies that have reported the δ13C of respiration of woody tissue have shown an enrichment relative to the associated bulk leaf tissue (Fig. 4, Cernusak et al., 2001; Damesin & Lelarge, 2003; Brandes et al., 2006). A recent study with Q. petraea identified pronounced seasonal and diurnal variability in the δ13C of respiration of woody tissue (Maunoury et al., 2007). Seasonal changes were attributed to phenology and the relative contributions of growth and maintenance respiration. Diurnal changes were greatest in winter when there were no leaves on the trees.

In general, the δ13C of heterotrophic respiration by microbes and other soil organisms cannot be measured in the field without experimental manipulations such as isotopic labeling, stem girdling, or trenching or other means of root exclusion. Incubation studies with decomposing organic materials generally show a δ13C of microbial respiration that is initially depleted (relative to the material being decomposed), then becomes enriched, and eventually stabilizes over many months as the labile C is consumed (Andrews et al., 1999; Schweizer et al., 1999; Fernandez & Cadisch, 2003; Fernandez et al., 2003; Crow et al., 2006). A similar pattern of enrichment in respired CO2 over time has been found with CO2 evolved as fungi decompose wood (Kohzu et al., 1999). Changes in δ13C over time during incubations are potentially quite useful in identifying the δ13C of the labile vs recalcitrant C pools in the soil (Andrews et al., 1999), but their applicability to understanding the δ13C of respiratory fluxes in the field may be limited as the connection to the rapidly cycling C pool (Högberg et al., 2001) has been lost.

In general, the soil respiration flux (measured from chambers on the soil surface) is enriched relative to leaves of the dominant trees in a forest by an average of 2.6‰ (Fig. 4). Variability in the δ13C of soil respiration has been linked to environmental conditions, presumably through meteorological influences on the ΔA of whole forests (Ekblad & Högberg, 2001; Ekblad et al., 2005; Mortazavi et al., 2005). Linkages with weather involve time lags of a few days; that is, a particular weather event influences the δ13C of soil respiration a few days later. Reasons for the time lags are not well understood, but presumably involve the time necessary for C transport belowground and C exchange with root symbionts. There is evidence that there are several pools of respiratory metabolites with differing turnover times in plants (Nogues et al., 2004, 2006).

The isotopic composition of whole-ecosystem respiration (measured with the Keeling-plot technique; Pataki et al., 2003) is enriched relative to bulk leaf tissue across a wide variety of biomes, by an average of 1.7‰ (Fig. 4). As mentioned, factors such as mean annual precipitation strongly influence the δ13C of leaves, and the δ13C of ecosystem respiration corresponds to mean annual precipitation as a result (Fig. 1). The variability in the δ13C of ecosystem respiration at a particular site, however, shows important variation on a time scale of days to months that has been linked to a variety of factors. These include soil moisture (Lai et al., 2005), atmospheric humidity and radiation (Bowling et al., 2002; Knohl et al., 2005), and air or soil temperatures (Bowling et al., 2002; McDowell et al., 2004b). A more complete listing of studies that have shown these linkages and related discussion can be found in Schaeffer et al. (in press).

A lack of complete understanding of the isotopic composition of C pools and fluxes in terrestrial ecosystems is apparent in the trends shown in Fig. 4. While no study has yet measured the δ13C values of leaf, root, wood, soil, and ecosystem respiration simultaneously, a few have measured several of these fluxes at once (Bowling et al., 2003; McDowell et al., 2004a; Mortazavi et al., 2005) and do not usually achieve mass balance. Root respiration makes up a significant component of soil respiration (Subke et al., 2006), and as root respiration is fairly depleted in δ13C (c. −2‰ relative to leaves; Fig. 4) an unidentified but enriched source of CO2 is required to explain the enriched values of soil respiration shown in Fig. 4 (a +2.6‰ enrichment relative to leaves). CO2 originating from decomposition of SOM is unlikely to be enriched relative to SOM; such a fractionation could not be sustained over long periods of time without gradual isotopic depletion of the soil C pool. The enriched source may come from fungal respiration, as the biomass of fungi is enriched relative to other ecosystem components (Fig. 4), but to our knowledge the δ13C of fungal respiration has not been measured in the field. This mass balance dilemma extends to the whole ecosystem as well. How can total ecosystem respiration be 1.7‰ enriched relative to leaves on average if both leaf respiration and soil respiration are more enriched than ecosystem respiration (Fig. 4)? This problem does not result from the compilation of disparate studies in Fig. 4 – it has been observed in individual ecosystems (Bowling et al., 2003; McDowell et al., 2004a).

Many studies have examined the δ13C of bulk soil surface respiration, using a wide variety of methods (see references in Fig. 4). The relatively small variability in the δ13C of soil respiration (Fig. 4) is encouraging given the various methods used, but it is quite possible that they all are in error. Because of diffusive fractionation, CO2 in the soil gas is enriched relative to the flux leaving the soil by 4.4‰ (Cerling et al., 1991). If enriched CO2 was inadvertently advected from the soil during flux measurements, the resulting δ13C of measured soil surface flux would be too enriched (Bowling et al., 2003; McDowell et al., 2004a). Subtracting 4.4‰ from the soil respiration value in Fig. 4 places it much closer to the δ13C of root respiration, although root respiration studies have been relatively few and should be compared with other ecosystem fluxes in a greater variety of ecosystems and environmental conditions.

V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

Variations in the δ13C of ecosystem C pools and fluxes (Fig. 4) provide a context for understanding how the isotopic compositions of gross primary production (GPP), net primary production (NPP), and net ecosystem production (NEP) are likely to differ. They are also critical for interpreting temporal and spatial variability in the isotopic composition of atmospheric CO2. The isotopic composition of NPP begins with the δ13C of assimilates from GPP, including the sensitivity of ΔA to environmental conditions, but depends additionally on post-assimilation fractionation during tissue synthesis. As a result, plant-to-plant and ecosystem-to-ecosystem differences in C allocation and tissue chemistry are likely to simultaneously influence the δ13C of plant respiration and the biomass increment that ultimately provides the substrate for the heterotrophic community. The δ13C variations caused by allocation are not necessarily small compared with those arising from environmental regulation of GPP: the mean difference between bole and bulk leaf δ13C values is 3.2‰ (Fig. 4) and is of comparable magnitude to variability in the δ13C of whole-forest respiration (Bowling et al., 2002; Lai et al., 2005). The isotopic composition of NEP starts with the δ13C of C flow from NPP, but depends additionally on the variable decomposition rates of different plant tissues (Parton et al., 2007), and on the biosynthesis of new compounds by the soil microbial community. In terms of the net effect of terrestrial ecosystems on atmospheric (and oceanic) δ13C, other fluxes including fire, leaching of dissolved organic C compounds, and erosion can be important in some instances and are a part of the net ecosystem C balance.

The use of atmospheric δ13CO2 and CO2 measurements to partition land and ocean C sinks takes advantage of large differences in discrimination associated with C uptake by terrestrial ecosystems and by the oceans (Quay et al., 1992; Tans et al., 1993; Francey et al., 1995; Keeling et al., 1995; Heimann & Maier-Reimer, 1996). In past work, GPP-weighted estimates of ΔA have been used as estimates of discrimination associated with the net terrestrial C sink (Ciais et al., 1995), with recent work accounting for interannual variability in climate (Randerson et al., 2002a; Scholze et al., 2003; Suits et al., 2005) and time-varying contributions from C3 and C4 ecosystems (Townsend et al., 2002; Still et al., 2003). GPP-weighted estimates of ΔA are only appropriate for use with the net terrestrial sink when fractionations during plant tissue synthesis, C allocation and transport, and decomposition are negligible and when C storage is proportional to GPP. In light of the evidence provided here for substantial discrimination processes in terrestrial C cycling, manifested as systematic differences in δ13C among different plant and ecosystem C pools (Fig. 4), there are both conceptual and practical limits to the use of GPP-weighted ΔA in global C cycle studies. More generally, what is needed for interpreting the atmospheric record is the δ13C associated with the net exchange (net storage or release) of C from terrestrial ecosystems. The challenge is that the C pools that contribute to net storage vary considerably with the time scale of the net exchange – with consequences for δ13C of the net exchange. The discussion that follows is diagrammed conceptually in Fig. 5. For a fully developed forest canopy at midday over a period of a few minutes, for example, net C gain is probably dominated by photosynthesis and so the discrimination associated with net storage is near ΔA. On this time scale, most of the C storage is associated with expanding pools of sucrose and starch in leaves. During the night, by contrast, the discrimination inferred from ecosystem respiration (nighttime Keeling plots; Fig. 5) may be smaller than the actual ΔA during the day, as a result of contributions from growth respiration associated with the construction of more reduced plant compounds (Section II, ‘Isotopic composition of plant metabolites and autotrophic respiration’). This explanation may resolve the contradiction in ci/ca estimates using different methods identified by Tissue et al. (2006).

image

Figure 5. Conceptual model of inferred discrimination as a function of carbon residence time. At midday over a forest, the net flux is dominated by net assimilation and so the inferred discrimination approaches the discrimination associated with photosynthesis (ΔA). Over a period of days to weeks, biosynthesis of leaves and other plant tissues contributes to an enriched respiratory flux and, simultaneously, the construction of depleted leaf bulk tissue. Inferring discrimination from nocturnal Keeling plots thus leads to an underestimate of ΔA. By contrast, inferring discrimination from seasonal changes in atmospheric CO2 isotopic composition (δ13CO2) may lead to an overestimate of ΔA because the growth and decomposition of leaf and small stem tissues play an important role in shaping biosphere–atmosphere exchange over a period of months. On interannual to decadal time scales, the net terrestrial flux is dominated by the expansion or loss of woody biomass, implying that isotopic measurements of woody biomass may be most appropriate for use in ‘double deconvolution’ carbon partitioning studies.

Download figure to PowerPoint

Over seasonal time scales, the contribution of plant respiration to the atmospheric record probably becomes less important because of its rapid turnover. Several lines of evidence show that plant respiration is composed mostly of recent assimilates that have a turnover time of days to a few weeks (Ekblad & Högberg, 2001; Högberg et al., 2001; Bowling et al., 2002; Brandes et al., 2006; Carbone et al., 2007). As a result, plant respiration probably contributes only negligibly to the seasonal cycle of δ13CO2 in the northern hemisphere, as the minimum in late spring (typically April or May) is separated from the maximum (typically August or September) by ~3–4 months (Trolier et al., 1996), a time interval an order of magnitude larger than the turnover time of the C pool associated with plant respiration. Instead, the seasonal atmospheric enrichment (and concurrent drawdown of CO2) has to be driven primarily by growth from assimilates that have been transformed into longer-lived compounds associated with new plant tissues such as leaves, roots, or stems. Leaf and fine-root components of NPP are probably the most important contributors to the seasonal exchange because their combined growth is often 60–80% of total NPP (Saugier et al., 2001). As a result, discrimination inferred from a seasonal cycle inversion based on flask measurements of the seasonal cycle of δ13CO2 and CO2 (e.g. Randerson et al., 2002b) may be larger than GPP-weighted ΔA (Fig. 5). In fact, it may be substantially larger than that inferred from nighttime Keeling plots (Fig. 5) or approaches that take advantage of synoptic CO2 variability, including the departure of CO2 and δ13CO2 from a mean seasonal cycle (Bakwin et al., 1998; Miller et al., 2003), because sucrose and other recent assimilates contribute proportionally more to atmospheric CO2 variability on these shorter time scales and are enriched relative to bulk leaf and litter biomass pools (Figs 2, 4).

While leaf and fine-root dynamics contribute substantially to seasonal exchange, they are less important for C storage on decadal time scales because leaf and fine-root litter pools decompose relatively rapidly and thus have little long-term storage capacity. On decadal time scales, woody biomass and coarse woody debris pools play important roles in C storage of many terrestrial ecosystems. A primary mechanism contributing to the northern hemisphere terrestrial sink at the end of the 20th century, for example, was the accumulation of woody biomass in forest ecosystems as a result of decreasing fires and other forms of disturbance (Goodale et al., 2002; Hurtt et al., 2002). In the tropics, a primary contemporary loss pathway is deforestation, with the largest flux originating from the aboveground woody biomass pool (Houghton et al., 2000; Achard et al., 2002; Saatchi et al., 2007). Thus, even though changes in the wood pool have a relatively small effect on the δ13C of ecosystem respiration or on seasonal exchange, because of their role in long-term C storage the isotopic composition of the wood pool may be the most appropriate to assign to the net terrestrial C sink in partitioning studies that assess variability on interannual to decadal timescales.

On centennial to millennial timescales, C storage in wood is eclipsed by C storage in soils, and so for interpretation of Holocene or glacial-interglacial changes in the C cycle using ice core records (Trudinger et al., 1999; Kohler et al., 2006), a weighted combination of the δ13C of the wood and soil pools may be the most appropriate to assign to the net terrestrial flux. More generally, the isotopic composition of the terrestrial flux is likely to vary with its temporal scale and the measurement techniques used to diagnose it (Fig. 5).

VI. Conclusions and suggestions for further research

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

We have provided evidence to support the hypothesis that bulk leaf δ13C acts as an isotopic reference point from which there are predictable differences in the δ13C of plant and ecosystem C pools and fluxes. From this work, we have identified several questions or topics that merit additional research. These topics are compelling enough to move our understanding of C cycling forward substantially, and detailed investigations of these issues will likely lead to an enhanced understanding of plant and ecosystem C cycling and allocation patterns.

  • • 
    What are the factors controlling the δ13C of respiration in plants?
  • • 
    Why is the δ13C of phloem sap enriched relative to leaves? What factors control this enrichment?
  • • 
    How does growth respiration contribute to the enrichment of ecosystem respiration?
  • • 
    Where does assimilation fit on Fig. 4, at whole-forest, regional, and global scales?
  • • 
    How does the δ13C of whole-forest respiration compare with that of whole-forest assimilation, and how does the δ13C of these fluxes change seasonally or interannually?
  • • 
    Is root respiration generally as depleted as in Fig. 4? Are soil chamber isotope methods artifact-free, and if so, what is the source of enriched CO2 that balances the depleted root respiration?

New and complementary tools for studying ecosystem C cycling will provide additional insight into the factors that cause isotopic variability in C pools and fluxes. Bomb (and experimentally added) radiocarbon is useful to study C cycling, particularly in longer-lived reservoirs such as wood and soils, but also in respiratory fluxes (Trumbore, 2000; Hahn et al., 2006; Schuur & Trumbore, 2006). Combined studies with 13C and 14C will yield very complementary information about C cycle processes (Carbone & Trumbore, 2007). Isotope labels can be applied to whole trees or whole ecosystems over periods from hours to years (Steinmann et al., 2004; Taneva et al., 2006; Carbone et al., 2007), and can be applied in very small amounts to investigate particular ecosystem processes (Ekblad et al., 2002; Czimczik et al., 2005). Real-time measurements of δ13C of CO2 are now possible in air (Bowling et al., 2005), and isotopic flux measurements can be made in real time using chambers (Barbour et al., 2007). Combinations of these methods with more traditional isotope sampling approaches are likely to be especially fruitful.

Acknowledgements

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References

This review is dedicated to the memory of our colleague and friend Professor Elizabeth W. Sulzman. Thanks to Claudia Keitel, Behzad Mortazavi, Troy Ocheltree and Hans Schnyder for sharing data, and to Andrew Moyes and Sean Schaeffer for reading and improving drafts of this manuscript. DRB was supported during this time by the Office of Science (BER), US Department of Energy, Grant No. DE-FG02-04ER63904. DEP was supported by the US National Science Foundation Grants 0620176 and 0624342. JTR was supported by the US National Science Foundation (0628637), NASA (NNG04GK49G), and the NOAA Climate Program Office (NA03OAR4310059). Ideas for this review originated at conferences in Orvieto, Italy (2003), and Interlaken, Switzerland (2004), which were supported by the Biosphere-Atmosphere Stable Isotope Network (funded by the US National Science Foundation) and the Stable Isotopes in Biospheric-Atmospheric Exchange network (funded by the European Science Foundation). We thank our colleagues for their inspirational ideas and thoughtful discussions at these conferences.

References

  1. Top of page
  2. Abstract
  3. I. Introduction
  4. II. Isotopic composition of plant metabolites and autotrophic respiration
  5. III. Isotopic composition of plant and ecosystem carbon pools
  6. IV. Isotopic composition of assimilation and respiration fluxes
  7. V. Ecosystem to global scale issues – isotopic composition of gross primary production, net primary production, and net ecosystem production
  8. VI. Conclusions and suggestions for further research
  9. Acknowledgements
  10. References
  • Abelson PH, Hoering TC. 1961. Carbon isotope fractionation in formation of amino acids by photosynthetic organisms. Proceedings of the National Academy of Sciences, USA 47: 623632.
  • Achard F, Eva HD, Stibig HJ, Mayaux P, Gallego J, Richards T, Malingreau JP. 2002. Determination of deforestation rates of the world's humid tropical forests. Science 297: 9991002.
  • Alstad KP, Lai C-T, Flanagan LB, Ehleringer JR. 2007. Environmental controls on the carbon isotope composition of ecosystem-respired CO2 in contrasting forest ecosystems in Canada and the USA. Tree Physiology 27: 13611374.
  • Amiotte-suchet P, Linglois N, Leveque J, Andreux F. 2007. 13C composition of dissolved organic carbon in upland forested catchments of the Morvan Mountains (France): influence of coniferous and deciduous vegetation. Journal of Hydrology 335: 354363.
  • Amthor JS. 1984. The role of maintenance respiration in plant growth. Plant, Cell & Environment 7: 561569.
  • Amthor JS. 2000. The McCree-de Wit-Penning de Vries-Thornley respiration paradigms: 30 years later. Annals of Botany 86: 120.
  • Andrews JA, Harrison KG, Matamala R, Schlesinger WH. 1999. Separation of root respiration from total soil respiration using carbon-13 labeling during Free-Air Carbon Dioxide Enrichment (FACE). Soil Science Society of America Journal 63: 14291435.
  • Badeck FW, Tcherkez G, Nogues S, Piel C, Ghashghaie J. 2005. Post-photosynthetic fractionation of stable carbon isotopes between plant organs – a widespread phenomenon. Rapid Communications in Mass Spectrometry 19: 13811391.
  • Bakwin PS, Tans PP, White JWC, Andres RJ. 1998. Determination of the isotopic (C-13/C-12) discrimination by terrestrial biology from a global network of observations. Global Biogeochemical Cycles 12: 555562.
  • Baldocchi DD, Bowling DR. 2003. Modelling the discrimination of 13CO2 above and within a temperate broad-leaved forest canopy on hourly to seasonal time scales. Plant, Cell & Environment 26: 231244.
  • Ballentine DC, Macko SA, Turekian VC. 1998. Variability of stable carbon isotopic compositions in individual fatty acids from combustion of C4 and C3 plants: implications for biomass burning. Chemical Geology 152: 151161.
  • Barbour MM, Hunt JE, Dungan RJ, Turnbull MH, Brailsford GW, Farquhar GD, Whitehead D. 2005. Variation in the degree of coupling between δ13C of phloem sap and ecosystem respiration in two mature Nothofagus forests. New Phytologist 166: 497512.
  • Barbour MM, McDowell NG, Tcherkez G, Bickford CP, Hanson DT. 2007. A new measurement technique reveals rapid post-illumination changes in the carbon isotope composition of leaf-respired CO2. Plant, Cell & Environment 30: 469482.
  • Benner R, Fogel ML, Sprague EK, Hodson RE. 1987. Depletion of 13C in lignin and its implications for stable carbon isotope studies. Nature 329: 708710.
  • Bostrom B, Comstedt D, Ekblad A. 2007. Isotope fractionation and 13C enrichment in soil profiles during the decomposition of soil organic matter. Oecologia 153: 8998.
  • Boutton TW 1996. Stable carbon isotope ratios of soil organic matter and their use as indicators of vegetation and climate change. In: BouttonTW, YamasakiS, eds. Mass spectrometry of soils. New York, NY, USA: Marcel Dekker, 4782.
  • Bowling DR, Burns SP, Conway TJ, Monson RK, White JWC. 2005. Extensive observations of CO2 carbon isotope content in and above a high-elevation subalpine forest. Global Biogeochemical Cycles 19: GB3023. doi: 10.1029/2004GB002394
  • Bowling DR, McDowell NG, Bond BJ, Law BE, Ehleringer JR. 2002. 13C content of ecosystem respiration is linked to precipitation and vapor pressure deficit. Oecologia 131: 113124.
  • Bowling DR, Pataki DE, Ehleringer JR. 2003. Critical evaluation of micrometeorological methods for measuring ecosystem–atmosphere isotopic exchange of CO2. Agricultural and Forest Meteorology 116: 159179.
  • Bowling DR, Tans PP, Monson RK. 2001. Partitioning net ecosystem carbon exchange with isotopic fluxes of CO2. Global Change Biology 7: 127145.
  • Brandes E, Kodama N, Whittaker K, Weston C, Rennenberg H, Keitel C, Adams MA, Gessler A. 2006. Short-term variation in the isotopic composition of organic matter allocated from the leaves to the stem of Pinus sylvestris: effects of photosynthetic and postphotosynthetic carbon isotope fractionation. Global Change Biology 12: 19221939.
  • Brandes E, Wenninger J, Koeniger P, Schindler D, Rennenberg H, Leibundgut C, Mayer H, Gessler A. 2007. Assessing environmental and physiological controls over water relations in a Scots pine (Pinus sylvestris L.) stand through analyses of stable isotope composition of water and organic matter. Plant, Cell & Environment 30: 113127.
  • Brenna JT. 2001. Natural intramolecular isotope measurements in physiology: elements of the case for an effort toward high-precision position-specific isotope analysis. Rapid Communications in Mass Spectrometry 15: 12521262.
  • Brugnoli E, Farquhar GD 2000. Photosynthetic fractionation of carbon isotopes. In: LeegoodRC, SharkeyTD, Von CaemmererS, eds. Photosynthesis: physiology and metabolism. Dordrecht, the Netherlands: Kluwer, 399434.
  • Brugnoli E, Hubick KT, Von Caemmerer S, Wong SC, Farquhar GD. 1988. Correlation between the carbon isotope discrimination in leaf starch and sugars of C3 plants and the ratio of intercellular and atmospheric partial pressures of carbon dioxide. Plant Phsyiology 88: 14181424.
  • Buchmann N, Guehl J-M, Barigah TS, Ehleringer JR. 1997. Interseasonal comparison of CO2 concentrations, isotopic composition, and carbon dynamics in an Amazonian rainforest (French Guiana). Oecologia 110: 120131.
  • Cannell MGR, Thornley JHM. 2000. Modelling the components of plant respiration: some guiding principles. Annals of Botany 85: 4554.
  • Carbone MS, Czimczik CI, McDuffee KE, Trumbore SE. 2007. Allocation and residence time of photosynthetic products in a boreal forest using a low-level 14C pulse-chase labeling technique. Global Change Biology 13: 466477.
  • Carbone MS, Trumbore SE. 2007. Contribution of new photosynthetic assimilates to respiration by perennial grasses and shrubs: residence times and allocation patterns. New Phytologist 176: 124135.
  • Cerling TE, Solomon DK, Quade J, Bowman JR. 1991. On the isotopic composition of carbon in soil carbon dioxide. Geochimica et Cosmochimica Acta 55: 34033405.
  • Cernusak LA, Farquhar GD, Pate JS. 2005. Environmental and physiological controls over oxygen and carbon isotope composition of Tasmanian blue gum, Eucalyptus globulus. Tree Physiology 25: 129146.
  • Cernusak LA, Marshall JD, Comstock JP, Balster NJ. 2001. Carbon isotope discrimination in photosynthetic bark. Oecologia 128: 2435.
  • Chikaraishi Y, Naraoka H. 2001. Organic hydrogen-carbon isotope signatures of terrestrial higher plants during biosynthesis for distinctive photosynthetic pathways. Geochemical Journal 35: 451458.
  • Ciais P, Tans PP, White JWC, Trolier M, Francey RJ, Berry JA, Randall DR, Sellers PJ, Collatz JG et al . 1995. Partitioning of ocean and land uptake of CO2 as inferred by δ13C measurements from the NOAA Climate Monitoring and Diagnostics Laboratory Global Air Sampling Network. Journal of Geophysical Research 100: 50515070.
  • Crow SE, Sulzman EW, Rugh WD, Bowden RD, Lajtha K. 2006. Isotopic analysis of respired CO2 during decomposition of separated soil organic matter pools. Soil Biology and Biochemistry 38: 32793291.
  • Czimczik CI, Treseder KK, Carbone MS, Trumbore SE. 2005. Radiocarbon – a low-impact tool to study nutrient transport by soil fungi under field conditions. New Phytologist 166: 595600.
  • Damesin C, Lelarge C. 2003. Carbon isotope composition of current-year shoots from Fagus sylvatica in relation to growth, respiration and use of reserves. Plant, Cell & Environment 26: 207219.
  • Dawson TE, Mambelli S, Plamboeck AH, Templer PH, Tu KP. 2002. Stable isotopes in plant ecology. Annual Review of Ecology and Systematics 33: 507559.
  • DeNiro MJ, Epstein S. 1977. Mechanism of carbon isotope fractionation associated with lipid synthesis. Science 197: 261263.
  • Dijkstra P, Ishizu A, Doucett R, Hart SC, Schwartz E, Menyailo OV, Hungate BA. 2006. 13C and 15N natural abundance of the soil microbial biomass. Soil Biology and Biochemistry 38: 32573266.
  • Duranceau M, Ghashghaie J, Badeck F, Deleens E, Cornic G. 1999. δ13C of CO2 respired in the dark in relation to δ13C of leaf carbohydrates in Phaseolus vulgaris L. under progressive drought. Plant, Cell & Environment 22: 515523.
  • Duranceau M, Ghashghaie J, Brugnoli E. 2001. Carbon isotope discrimination during photosynthesis and dark respiration in intact leaves of Nicotiana sylvestris: comparisons between wild type and mitochondrial mutant plants. Australian Journal of Plant Physiology 28: 6571.
  • Ehleringer JR, Buchmann N, Flanagan LB. 2000. Carbon isotope ratios in belowground carbon cycle processes. Ecological Applications 10: 412422.
  • Ekblad A, Bostrom B, Holm A, Comstedt D. 2005. Forest soil respiration rate and δ13C is regulated by recent above ground weather conditions. Oecologia 143: 136142.
  • Ekblad A, Högberg P. 2001. Natural abundance of 13C in CO2 respired from forest soils reveals speed of link between tree photosynthesis and root respiration. Oecologia 127: 305308.
  • Ekblad A, Nyberg G, Högberg P. 2002. 13C-discrimination during microbial respiration of added C3, C4 and 13C-labelled sugars to a C3-forest soil. Oecologia 131: 245249.
  • Evans JR, Sharkey TD, Berry JA, Farquhar GD. 1986. Carbon isotope discrimination measured concurrently with gas exchange to investigate CO2 diffusion in leaves of higher plants. Australian Journal of Plant Physiology 13: 281292.
  • Farquhar GD, Ehleringer JR, Hubick KT. 1989. Carbon isotope discrimination and photosynthesis. Annual Review of Plant Physiology and Plant Molecular Biology 40: 503537.
  • Farquhar GD, O’Leary MH, Berry JA. 1982. On the relationship between carbon isotope discrimination and the intracellular carbon dioxide concentration in leaves. Australian Journal of Plant Physiology 9: 121137.
  • Fernandez I, Cadisch G. 2003. Discrimination against 13C during degradation of simple and complex substrates by two white rot fungi. Rapid Communications in Mass Spectrometry 17: 26142620.
  • Fernandez I, Mahieu N, Cadisch G. 2003. Carbon isotopic fractionation during decomposition of plant materials of different quality. Global Biogeochemical Cycles 17: 1075. doi: 10.1029/2001GB001834
  • Fessenden JE, Ehleringer JR. 2003. Temporal variation in δ13C of ecosystem respiration in the Pacific Northwest: links to moisture stress. Oecologia 136: 129136.
  • Flanagan LB, Brooks JR, Varney GT, Berry SC, Ehleringer JR. 1996. Carbon isotope discrimination during photosynthesis and the isotope ratio of respired CO2 in boreal forest ecosystems. Global Biogeochemical Cycles 10: 629640.
  • Francey RJ, Tans PP, Allison CE, Enting IG, White JWC, Trolier M. 1995. Changes in oceanic and terrestrial carbon uptake since 1982. Nature 373: 326330.
  • Gaudillere JP, Van Leeuwen C, Ollat N. 2002. Carbon isotope composition of sugars in grapevine, an integrated indicator of vineyard water status. Journal of Experimental Botany 53: 757763.
  • Gaudinski JB, Dawson TE, Quideau S, Schuur EAG, Roden JS, Trumbore SE, Sandquist DR, Oh SW, Wasylishen RE. 2005. Comparative analysis of cellulose preparation techniques for use with 13C, 14C, and 18O isotopic measurements. Analytical Chemistry 77: 72127224.
  • Gessler A, Rennenberg H, Keitel C. 2004. Stable isotope composition of organic compounds transported in the phloem of European beech – Evaluation of different methods of phloem sap collection and assessment of gradients in carbon isotope composition during leaf-to-stem transport. Plant Biology 6: 721729.
  • Gessler A, Schrempp S, Matzarakis A, Mayer H, Rennenberg H, Adams MA. 2001. Radiation modifies the effect of water availability on the carbon isotope composition of beech (Fagus sylvatica). New Phytologist 150: 653664.
  • Ghashghaie J, Badeck F-W, Lanigan G, Nogues S, Tcherkez G, Deleens E, Cornic G, Griffiths H. 2003. Carbon isotope fractionation during dark respiration and photorespiration in C3 plants. Phytochemistry Reviews 2: 145161.
  • Ghashghaie J, Duranceau M, Badeck F-W, Cornic G, Adeline M-T, Deleens E. 2001. δ13C of CO2 respired in the dark in relation to δ13C of leaf metabolites: comparison between Nicotiana sylvestris and Helianthus annuus under drought. Plant, Cell & Environment 24: 505515.
  • Gifford RM. 2003. Plant respiration in productivity models: conceptualisation, representation, and issues for global terrestrial carbon-cycle research. Functional Plant Biology 30: 171186.
  • Gleixner G, Danier H-J, Werner RA, Schmidt H-L. 1993. Correlations between the 13C content of primary and secondary plant products in different cell compartments and that in decomposing basidiomycetes. Plant Physiology 102: 12871290.
  • Gleixner G, Scrimgeour C, Schmidt H-L, Viola R. 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: 241245.
  • Goodale CL, Apps MJ, Birdsey RA, Field CB, Heath LS, Houghton RA, Jenkins JC, Kohlmaier GH, Kurz W, Liu S et al . 2002. Forest carbon sinks in the Northern Hemisphere. Ecological Applications 12: 891899.
  • Hahn V, Högberg P, Buchmann N. 2006. 14C – a tool for separation of autotrophic and heterotrophic soil respiration. Global Change Biology 12: 972982.
  • Hart SC, Gehring CA, Selmants PC, Deckert RJ. 2006. Carbon and nitrogen elemental and isotopic patterns in macrofungal sporocarps and trees in semiarid forests of the south-western USA. Functional Ecology 20: 4251.
  • Harwood KG, Gillon JS, Griffiths H, Broadmeadow MSJ. 1998. Diurnal variation of Δ13CO2, ΔC18O16O and evaporative site enrichment of δH218O in Piper aduncum under field conditions in Trinidad. Plant, Cell & Environment 21: 269283.
  • Heimann M, Maier-Reimer E. 1996. On the relations between oceanic uptake of CO2 and its carbon isotopes. Global Biogeochemical Cycles 10: 89110.
  • Helle G, Schleser GH. 2004. Beyond CO2-fixation by Rubisco – an interpretation of 13C/12C variations in tree rings from novel intra-seasonal studies on broad-leaf trees. Plant, Cell & Environment 27: 367380.
  • Hemming D, Yakir D, Ambus P, Aurela M, Besson C, Black K, Buchmann N, Burlett R, Cescatti A, Clement R et al . 2005. Pan-European δ13C values of air and organic matter from forest ecosystems. Global Change Biology 11: 10651093.
  • Henn MR, Chapela IH. 2000. Differential C isotope discrimination by fungi during decomposition of C3-and C4-derived sucrose. Applied and Environmental Microbiology 66: 41804186.
  • Henn MR, Chapela IH. 2001. Ecophysiology of 13C and 15N isotopic fractionation in forest fungi and the roots of the saprotrophic-mycorrhizal divide. Oecologia 128: 480487.
  • Henn MR, Gleixner G, Chapela IH. 2002. Growth-dependent stable carbon isotope fractionation by basidiomycete fungi: δ13C pattern and physiological process. Applied and Environmental Microbiology 68: 49564964.
  • Hobbie EA, Macko SA, Shugart HH. 1999. Insights into nitrogen and carbon dynamics of ectomycorrhizal and saprotrophic fungi from isotopic evidence. Oecologia 118: 353360.
  • Hobbie EA, Rygiewicz PT, Johnson MG, Moldenke AR. 2007. 13C and 15N in microarthropods reveal little response of Douglas-fir ecosystems to climate change. Global Change Biology 13: 13861397.
  • Hobbie EA, Weber NS, Trappe JM. 2001. Mycorrhizal vs saprotrophic status of fungi: the isotopic evidence. New Phytologist 150: 601610.
  • Hobbie EA, Werner RA. 2004. Intramolecular, compound-specific, and bulk carbon isotope patterns in C3 and C4 plants: a review and synthesis. New Phytologist 161: 371385.
  • Högberg P, Nordgren A, Buchmann N, Taylor AFS, Ekblad A, Högberg MN, Nyberg G, Ottosson-Lofvenius M, Read DJ. 2001. Large-scale forest girdling shows that current photosynthesis drives soil respiration. Nature 411: 789792.
  • Högberg P, Plamboeck AH, Taylor AFS, Fransson PMA. 1999. Natural 13C abundance reveals trophic status of fungi and host-origin of carbon in mycorrhizal fungi in mixed forests. Proceedings of the National Academy of Sciences, USA 96: 85348539.
  • Hood E, Williams MW, McKnight DM. 2005. Sources of dissolved organic matter (DOM) in a Rocky Mountain stream using chemical fractionation and stable isotopes. Biogeochemistry 74: 231255.
  • Houghton RA, Skole DL, Nobre CA, Hackler JL, Lawrence KT, Chomentowski WH. 2000. Annual fluxes or carbon from deforestation and regrowth in the Brazilian Amazon. Nature 403: 301304.
  • Hurtt GC, Pacala SW, Moorcroft PR, Caspersen J, Shevliakova E, Houghton RA, Moore B. 2002. Projecting the future of the US carbon sink. Proceedings of the National Academy of Sciences, USA 99: 13891394.
  • Hymus GJ, Maseyk K, Valentini R, Yakir D. 2005. Large daily variation in 13C-enrichment of leaf-respired CO2 in two Quercus forest canopies. New Phytologist 167: 377384.
  • Johnson D, Leake JR, Ostle N, Ineson P, Read DJ. 2002. In situ 13CO2 pulse-labelling of upland grassland demonstrates a rapid pathway of carbon flux from arbuscular mycorrhizal mycelia to the soil. New Phytologist 153: 327334.
  • Keeling CD, Whorf TP, Wahlen M, Van Der Plicht J. 1995. Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980. Nature 375: 666670.
  • Keitel C, Adams MA, Holst T, Matzarakis A, Mayer H, Rennenberg H, Gessler A. 2003. Carbon and oxygen isotope composition of organic compounds in the phloem sap provides a short-term measure for stomatal conductance of European beech (Fagus sylvatica L.). Plant, Cell & Environment 26: 11571168.
  • Keitel C, Matzarakis A, Rennenberg H, Gessler A. 2006. Carbon isotopic composition and oxygen isotopic enrichment in phloem and total leaf organic matter of European beech (Fagus sylvatica L.) along a climate gradient. Plant, Cell & Environment 29: 14921507.
  • Klumpp K, Schäufele R, Lötscher M, Lattanzi FA, Feneis W, Schnyder H. 2005. C-isotope composition of CO2 respired by shoots and roots: fractionation during dark respiration? Plant, Cell & Environment 28: 241250.
  • Knohl A, Buchmann N. 2005. Partitioning the net CO2 flux of a deciduous forest into respiration and assimilation using stable carbon isotopes. Global Biogeochemical Cycles 19: GB4008. doi: 10.1029/2004GB002301
  • Knohl A, Werner RA, Brand WA, Buchmann N. 2005. Short-term variations in δ13C of ecosystem respiration reveals link between assimilation and respiration in a deciduous forest. Oecologia 142: 7082.
  • Kohler P, Fischer H, Schmitt J, Munhoven G. 2006. On the application and interpretation of Keeling plots in paleo climate research – deciphering δ13C of atmospheric CO2 measured in ice cores. Biogeosciences 3: 539556.
  • Kohzu A, Yoshioka T, Ando T, Takahashi M, Koba K, Wada E. 1999. Natural 13C and 15N abundance of field-collected fungi and their ecological implications. New Phytologist 144: 323330.
  • Lai C-T, Ehleringer JR, Schauer AJ, Tans PP, Hollinger DY, Paw UKT, Munger JW, Wofsy SC. 2005. Canopy-scale δ13C of photosynthetic and respiratory CO2 fluxes: observations in forest biomes across the United States. Global Change Biology 11: 633643.
  • Law BE, Ryan MG, Anthoni PM. 1999. Seasonal and annual respiration of a ponderosa pine ecosystem. Global Change Biology 5: 169182.
  • Lea PJ, Ireland RJ 1999. Nitrogen metabolism in higher plants. In: SinghBK, ed. Plant amino acids. New York, NY, USA: Marcel Dekker, 147.
  • Leavitt S, Long A. 1982. Evidence for 13C/12C fractionation between tree leaves and wood. Nature 298: 742744.
  • Lin G, Ehleringer JR. 1997. Carbon isotopic fractionation does not occur during dark respiration in C3 and C4 plants. Plant Physiology 114: 391394.
  • Loader NJ, Rundgren M. 2006. The role of inter-specific, micro-habitat and climatic factors on the carbon isotope (δ13C) variability of a modern leaf assemblage from northern Scandinavia: implications for climate reconstruction. Boreas 35: 188201.
  • Ludwig B, Heil B, Flessa H, Beese F. 2000. Dissolved organic carbon in seepage water – Production and transformation during soil passage. Acta Hydrochimica et Hydrobiologica 28: 7782.
  • Madhavan S, Treichel I, O’Leary MH. 1991. Effects of relative humidity on carbon isotope fractionation in plants. Botanica Acta 104: 292294.
  • Martinelli LA, Almeida S, Brown IF, Moreira MZ, Victoria RL, Sternberg LSL, Ferreira CAC, Thomas WW. 1998. Stable carbon isotope ratio of tree leaves, boles and fine litter in a tropical forest in Rondonia, Brazil. Oecologia 114: 170179.
  • Maunoury F, Berveiller D, Lelarge C, Pontailler JY, Vanbostal L, Damesin C. 2007. Seasonal, daily and diurnal variations in the stable carbon isotope composition of carbon dioxide respired by tree trunks in a deciduous oak forest. Oecologia 151: 268279.
  • McDowell NG, Bowling DR, Bond BJ, Irvine J, Law BE, Anthoni P, Ehleringer JR. 2004a. Response of the carbon isotopic content of ecosystem, leaf, and soil respiration to meteorological and physiological driving factors in a Pinus ponderosa ecosystem. Global Biogeochemical Cycles 18: GB1013. doi: 10.1029/2003GB00249
  • McDowell NG, Bowling DR, Schauer A, Irvine J, Bond BJ, Law BE, Ehleringer JR. 2004b. Associations between carbon isotope ratios of ecosystem respiration, water availability and canopy conductance. Global Change Biology 10: 17671784.
  • Melzer E, Schmidt H-L. 1987. Carbon isotope effects on the pyruvate dehydrogenase reaction and their importance for relative carbon-13 depletion in lipids. Journal of Biological Chemistry 262: 81598164.
  • Miller JB, Tans PP, White JWC, Conway TJ, Vaughn BW. 2003. The atmospheric signal of terrestrial carbon isotopic discrimination and its implication for partitioning carbon fluxes. Tellus 55B: 197206.
  • Mortazavi B, Chanton JP. 2002. Carbon isotopic discrimination and control of nighttime canopy δ18O-CO2 in a pine forest in the southeastern United States. Global Biogeochemical Cycles 16: 1008. doi: 10.1029/2000GB001390
  • Mortazavi B, Chanton JP, Prater JL, Oishi AC, Oren R, Katul G. 2005. Temporal variability in 13C of respired CO2 in a pine and a hardwood forest subject to similar climatic conditions. Oecologia 142: 5769.
  • Nogues S, Damesin C, Tcherkez G, Maunoury F, Cornic G, Ghashghaie J. 2006. 13C/12C isotope labelling to study leaf carbon respiration and allocation in twigs of field-grown beech trees. Rapid Communications in Mass Spectrometry 20: 219226.
  • Nogues S, Tcherkez G, Cornic G, Ghashghaie J. 2004. Respiratory carbon metabolism following illumination in intact french bean leaves using C-13/C-12 isotope labeling. Plant Physiology 136: 32453254.
  • O’Leary MH. 1981. Carbon isotope fractionation in plants. Phytochemistry 20: 553567.
  • Ocheltree TW, Marshall JD. 2004. Apparent respiratory discrimination is correlated with growth rate in the shoot apex of sunflower (Helianthus annuus). Journal of Experimental Botany 55: 25992605.
  • Ogee J, Peylin P, Ciais P, Bariac T, Brunet Y, Berbigier P, Roche C, Richard P, Bardoux G, Bonnefond J-M. 2003. Partitioning net ecosystem carbon exchange into net assimilation and respiration using 13CO2 measurements: a cost-effective sampling strategy. Global Biogeochemical Cycles 17: 1070. doi: 10.1029/2002GB001995
  • Park R, Epstein S. 1961. Metabolic fractionation of C13 and C12 in plants. Plant Physiology 36: 133138.
  • Parton W, Silver WL, Burke IC, Grassens L, Harmon ME, Currie WS, King JY, Adair EC, Brandt LA, Hart SC et al . 2007. Global-scale similarities in nitrogen release patterns during long-term decomposition. Science 315: 361364.
  • Pataki DE, Ehleringer JR, Flanagan LB, Yakir D, Bowling DR, Still CJ, Buchmann N, Kaplan JO, Berry JA. 2003. The application and interpretation of Keeling plots in terrestrial carbon cycle research. Global Biogeochemical Cycles 17: 1022. doi: 10.1029/2001GB001850
  • Pate J, Arthur D. 1998. δ13C 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 117: 301311.
  • Penning de Vries FWT. 1975. The cost of maintenance processes in plant cells. Annals of Botany 39: 7792.
  • Poorter H, Villar R 1997. The fate of acquired carbon in plants: chemical composition and construction costs. In: BazzazFA, GraceJ, eds. Plant Resource Allocation. San Diego, CA, USA: Academic Press, 3972.
  • Prater JL, Mortazavi B, Chanton JP. 2006. Diurnal variation of the δ13C of pine needle respired CO2 evolved in darkness. Plant, Cell & Environment 29: 202211.
  • Preston CM, Trofymow JA, Flanagan LB. 2006. Decomposition, δ13C, and the ‘lignin paradox’. Canadian Journal of Soil Science 86: 235245.
  • Quay PD, Tilbrook B, Wong CS. 1992. Oceanic uptake of fossil fuel CO2: Carbon-13 evidence. Science 256: 7479.
  • Randerson JT, Collatz GJ, Fessenden JE, Munoz AD, Still CJ, Berry JA, Fung IY, Suits N, Denning AS. 2002a. A possible global covariance between terrestrial gross primary production and 13C discrimination: consequences for the atmospheric 13C budget and its response to ENSO. Global Biogeochemical Cycles 16: 1136. doi: 10.1029/2001GB001845
  • Randerson JT, Masiello CA, Still CJ, Rahn T, Poorter H, Field CB. 2006. Is carbon within the global terrestrial biosphere becoming more oxidized? Implications for trends in atmospheric O2. Global Change Biology 12: 260271.
  • Randerson JT, Still CJ, Balle JJ, Fung IY, Doney SC, Tans PP, Conway TJ, White JWC, Vaughn B, Suits N et al . 2002b. Carbon isotope discrimination of arctic and boreal biomes inferred from remote atmospheric measurements and a biosphere-atmosphere model. Global Biogeochemical Cycles 16: 1028. doi: 10.1029/2001GB001435, 2002.
  • Read J, Farquhar G. 1991. Comparative studies in Nothofagus (Fagaceae).I. Leaf carbon isotope discrimination. Functional Ecology 5: 684695.
  • Rossmann A, Butzenlechner M, Schmidt H-L. 1991. Evidence for a nonstatistical carbon isotope distribution in natural glucose. Plant Physiology 96: 609614.
  • Ryan MG. 1991. Effects of climate change on plant respiration. Ecological Applications 1: 157167.
  • Saatchi SS, Houghton RA, Dos Santos Alvala RC, Soares JV, Yu Y. 2007. Distribution of aboveground live biomass in the Amazon basin. Global Change Biology 13: 816837.
  • Santruckova H, Bird MI, Lloyd J. 2000. Microbial processes and carbon-isotope fractionation in tropical and temperate grassland soils. Functional Ecology 14: 108114.
  • Saugier B, Roy J, Mooney HA. 2001. Estimations of global terrestrial productivity: converging toward a single number? In: RoyJ, Saugier, B, MooneyHA, eds. Terrestrial Global Productivity. San Diego, CA, USA: Academic Press, 543557.
  • Savidge WB, Blair NE. 2004. Patterns of intramolecular carbon isotopic heterogeneity within amino acids of autotrophs and heterotrophs. Oecologia 139: 178189.
  • Scartazza A, Lauteri M, Guido MC, Brugnoli E. 1998. Carbon isotope discrimination in leaf and stem sugars, water-use efficiency and mesophyll conductance during different developmental stages in rice subjected to drought. Australian Journal of Plant Physiology 25: 489498.
  • Scartazza A, Mata C, Matteucci G, Yakir D, Moscatello S, Brugnoli E. 2004. Comparisons of δ13C of photosynthetic products and ecosystem respiratory CO2 and their response to seasonal climate variability. Oecologia 140: 340351.
  • Schaeffer SM, Anderson DE, Burns SP, Monson RK, Sun J, Bowling DR. (in press). Canopy structure and atmospheric flows in relation to the δ13C of respired CO2 in a subalpine coniferous forest. Agricultural and Forest Meteorology. doi: 10.1016/j.agrformet.2007.11.003
  • Schmidt H-L. 2003. Fundamentals and systematics of the nonstatistical distributions of isotopes in natural compounds. Naturwissenschaften 90: 537552.
  • Schnyder H, Lattanzi FA. 2005. Partitioning respiration of C3–C4 mixed communities using the natural abundance 13C approach – testing assumptions in a controlled environment. Plant Biology 7: 592600.
  • Scholze M, Kaplan JO, Knorr W, Heimann M. 2003. Climate and interannual variability of the atmosphere-biosphere 13CO2 flux. Geophysical Research Letters 30: 1097.
  • Schulze E-D, Williams RJ, Farquhar GD, Schulze W, Langridge J, Miller JM, Walker BH. 1998. Carbon and nitrogen isotope discrimination and nitrogen nutrition of trees along a rainfall gradient in northern Australia. Australian Journal of Plant Physiology 25: 413425.
  • Schuur EAG, Trumbore SE. 2006. Partitioning sources of soil respiration in boreal black spruce forest using radiocarbon. Global Change Biology 12: 165176.
  • Schuur EAG, Trumbore SE, Mack MC, Harden JW. 2003. Isotopic composition of carbon dioxide from a boreal forest fire: inferring carbon loss from measurements and modeling. Global Biogeochemical Cycles 17. doi: 10.1029/2001GB001840
  • Schweizer M, Fear J, Cadisch G. 1999. Isotopic (13C) fractionation during plant residue decomposition and its implications for soil organic matter studies. Rapid Communications in Mass Spectrometry 13: 12841290.
  • Smallwood BJ, Wooller MJ, Jacobson ME, Fogel ML. 2003. Isotopic and molecular distributions of biochemicals from fresh and buried Rhizophora mangle leaves. Geochemical Transactions 4: 3846.
  • Smith BN. 1971. Carbon isotope ratios of respired CO2 from castor bean, corn, peanut, pea, radish, squash, sunflower and wheat seedlings. Plant and Cell Physiology 12: 451455.
  • Steinmann K, Siegwolf RTW, Saurer M, Korner C. 2004. Carbon fluxes to the soil in a mature temperate forest assessed by 13C isotope tracing. Oecologia 141: 489501.
  • Stewart GR, Turnbull MH, Schmidt S, Erskine PD. 1995. 13C natural abundance in plant communities along a rainfall gradient: a biological integrator of water availability. Australian Journal of Plant Physiology 22: 5155.
  • Still CJ, Berry JA, Collatz GJ, DeFries RS. 2003. Global distribution of C3 and C4 vegetation: carbon cycle implications. Global Biogeochemical Cycles 17: 1006. doi: 10.1029/2001GB001807
  • Subke J-A, Inglima I, Cotrufo MF. 2006. Trends and methodological impacts in soil CO2 efflux partitioning: a metaanalytical review. Global Change Biology 12: 921943.
  • Suits NS, Denning AS, Berry JA, Still CJ, Kaduk J, Miller JB, Baker IT. 2005. Simulation of carbon isotope discrimination of the terrestrial biosphere. Global Biogeochemical Cycles 19: GB1017. doi: 10.1029/2003GB002141
  • Taneva L, Pippen JS, Schlesinger WH, Gonzalez-Meler MA. 2006. The turnover of carbon pools contributing to soil CO2 and soil respiration in a temperate forest exposed to elevated CO2 concentration. Global Change Biology 12: 983994.
  • Tans PP, Berry JA, Keeling RF. 1993. Oceanic 13C/12C observations: a new window on ocean CO2 uptake. Global Biogeochemical Cycles 7: 353368.
  • Taylor AFS, Fransson PM, Högberg P, Högberg MN, Plamboeck AH. 2003. Species level patterns in 13C and 15N abundance of ectomycorrhizal and saprotrophic fungal sporocarps. New Phytologist 159: 757774.
  • Tcherkez G, Farquhar GD. 2005. Carbon isotope effect predictions for enzymes involved in the primary carbon metabolism of plant leaves. Functional Plant Biology 32: 277291.
  • Tcherkez G, Nogues S, Bleton J, Cornic G, Badeck F, Ghashghaie J. 2003. Metabolic origin of carbon isotope composition of leaf dark-respired CO2 in French bean. Plant Physiology 131: 237244.
  • Teskey RO, McGuire MA. 2007. Measurement of stem respiration of sycamore (Platanus occidentalis L.) trees involves internal and external fluxes of CO2 and possible transport of CO2 from roots. Plant, Cell & Environment 30: 570579.
  • Thornley JHM, Cannell MGR. 2000. Modelling the components of plant respiration: representation and realism. Annals of Botany 85: 5567.
  • Tissue DT, Barbour MM, Hunt JE, Turnbull MH, Griffin KL, Walcroft AS, Whitehead D. 2006. Spatial and temporal scaling of intercellular CO2 concentration in a temperate rain forest dominated by Dacrydium cupressinum in New Zealand. Plant, Cell & Environment 29: 497510.
  • Townsend AR, Asner GP, White JWC, Tans PP. 2002. Land use effects on atmospheric 13C imply a sizable terrestrial CO2 sink in tropical latitudes. Geophysical Research Letters 29: 1426.
  • Trolier M, White JWC, Tans PP, Masarie KA, Gemery PA. 1996. Monitoring the isotopic composition of atmospheric CO2: measurements from the NOAA Global Air Sampling Network. Journal of Geophysical Research – Atmospheres 101: 2589725916.
  • Troughton JH, Card KA, Hendy CH. 1974. Photosynthetic pathways and carbon isotope discrimination by plants. Carnegie Institution of Washington Yearbook 73: 76880.
  • Trudell SA, Rygiewicz PT, Edmonds RL. 2004. Patterns of nitrogen and carbon stable isotope ratios in macrofungi, plants and soils in two old-growth conifer forests. New Phytologist 164: 317335.
  • Trudinger CM, Enting IG, Francey RJ, Etheridge DM, Rayner PJ. 1999. Long-term variability in the global carbon cycle inferred from a high-precision CO2 and δ13C ice-core record. Tellus 51B: 233248.
  • Trumbore S. 2000. Age of soil organic matter and soil respiration: radiocarbon constraints on belowground C dynamics. Ecological Applications 10: 399411.
  • Tu KP, Dawson TE 2005. Partitioning ecosystem respiration using stable carbon isotope analyses of CO2. In: FlanaganLB, EhleringerJR, PatakiDE, eds. Stable isotopes and biosphere–atmosphere interactions: processes and biological controls. Amsterdam, the Netherlands: Elsevier, 125153.
  • Turney CSM, Hunt JE, Burrows C. 2002. Deriving a consistent δ13C signature from tree canopy leaf material for palaeoclimatic reconstruction. New Phytologist 155: 301311.
  • Uchida T, Kaneko N, Ito MT, Futagami K, Sasaki T, Sugimoto A. 2004. Analysis of the feeding ecology of earthworms (Megascolecidae) in Japanese forests using gut content fractionation and δ15N and δ13C stable isotope natural abundances. Applied Soil Ecology 27: 153163.
  • Wallander H, Goransson H, Rosengren U. 2004. Production, standing biomass and natural abundance of 15N and 13C in ectomycorrhizal mycelia collected at different soil depths in two forest types. Oecologia 139: 8997.
  • Wanek W, Heintel S, Richter A. 2001. Preparation of starch and other carbon fractions from higher plant leaves for stable carbon isotope analysis. Rapid Communications in Mass Spectrometry 15: 11361140.
  • Wedin DA, Tieszen LL, Dewey B, Pastor J. 1995. Carbon isotope dynamics during grass decomposition and soil organic matter formation. Ecology 76: 13831392.
  • Whelan T, Sackett WM, Benedict CR. 1970. Carbon isotope discrimination in a plant possessing the C4 dicarboxylic acid pathway. Biochemical and Biophysical Research Communications 41: 12051210.
  • Wingate L, Seibt U, Moncrieff JB, Jarvis PG, Lloyd J. 2007. Variations in 13C discrimination during CO2 exchange by Picea sitchensis branches in the field. Plant, Cell & Environment 30: 600616.
  • Xu C, Lin G, Griffin KL, Sambrotto RN. 2004. Leaf respiratory CO2 is 13C-enriched relative to leaf organic components in five species of C3 plants. New Phytologist 163: 499505.