SCOPE 21 -The Major Biogeochemical Cycles and Their Interactions 

6

Interactions of Biogeochemical Cycles in Forest Ecosystems

J. M. MELILLO AND J. R. GOSZ 
 
Abstract
6.1 Introduction
6.2 Element Ratios in Foliage and Litter
6.2.1 Element Ratios in Foliage
6.2.2 Nutrient Translocation within Trees and Nutrient Use Efficiency
6.2.3 Summary
6.3 Carbon Nutrient Interactions at the Ecosystem Level
6.3.1 Photosynthesis and Net Primary Production
6.3.2 Shoot:Root Ratio and the Response of Shoots and Roots to Fertilization 
6.3.3 Carbon Allocation to Perennial Versus Deciduous Plant Parts
6.3.4 Litter Decomposition
6.3.5 Summary
6.4 Element Interactions and the Global Carbon Cycle 
6.4.1 The Global Carbon Cycle: An Overview
6.4.2 Element Composition of Forest Ecosystems
6.4.3 Fossil Fuel Combustion and the Acceleration of the N, P, and S Cycles 
6.4.4 CarbonNitrogen Interactions
6.4.5 Phosphorus and Sulphur Inputs and Carbon Storage
6.4.6 Summary
6.5 Phosphorus 'The Master Element'
6.5.1 Phosphorus Availability and Carbon, Nitrogen and Sulphur Accumulation in Soils
6.5.2 Pedogenesis and The Global Carbon Cycle
6.5.3 Concluding Statement
References

ABSTRACT

This paper presents four topics in the study of interactions among carbon, nitrogen, phosphorus, and sulphur in forest ecosystems. In section 6.2, we consider element ratios in foliage and litter, and discuss what these ratios imply about the availability of nutrients to higher plants and the efficiency of nutrient-use by plants. The carbon to nitrogen ratio in litter varies inversely with the mass of nitrogen in the litter across a broad range of forest types. A qualitatively similar pattern is described for phosphorus. From extant data we conclude that a high carbon to nutrient ratio in litter is characteristic of an efficient use of the nutrient under consideration, with translocation of nutrients out of senescing tissue contributing to this efficiency. We also conclude that the efficiency of nutrient use is inversely related to the availability or rate of circulation of that nutrient.

In Section 6.3, we review the ways in which plant nutrient status can influence the amount of carbon flowing through an ecosystem, the pathways of flow, and the proximate fate of the carbon. We develop the argument that net carbon storage in forest ecosystems is determined by the balance among three distinct processes: (1) the net amount of carbon fixed by the vegetation (i.e. carbon fixed in excess of plant respiratory demand); (2) the relative amounts of this fixed carbon allocated to vegetation growth increment versus plant litter; and (3) the decomposition dynamics of carbon compounds entering the soil system. This argument has several implications for the study of the global carbon budget. First, to determine whether or not elevated atmospheric levels of CO2 will enhance carbon storage rate in terrestrial ecosystems, it is insufficient to consider only the relationship between CO2 concentration and photosynthetic rate. The subsequent fate of the fixed carbon must be considered. Second, the chronic low level additions of fertilizer to forests, such as is occuring through air pollution and subsequent rain-out may be: (1) enhancing overall carbon storage in ecosystems; and (2) shifting a larger fraction of the annual carbon storage to the vegetation component of the system.

We explore how man's impact on the global cycles of nitrogen, phosphorus, and sulphur may influence the ability of forest ecosystems to store carbon in Section 6.4. Man may be inadervertently fertilizing the world's forests with 6 Tg N through the burning of fossil fuels. We estimate that the maximum amount of additional carbon storage that could be promoted by a nitrogen fertilization of this magnitude is 300 Tg C/yr.

In section 6.5, we evaluate the possibility that the terrestrial biosphere is on a carbon accumulation trend that is dependent on the dynamics of phosphorus availability during soil development and that is independent of the activities of man. We estimate that on an annual basis only a small amount of carbon, in the range of 79 Tg C, could be stored by this mechanism.

6.1 INTRODUCTION

The forests and woodlands of the world occupy between 50 x 1012 and 60 x 1012 m2 or slightly more than one-third of the earth's land area (Whittaker and Likens, 1973), and they contain major fractions of the terrestrial stocks of C, N, S, and P. During the past two decades, studies of the fluxes of elements among the structural components of forests have intensified. Today, carbon and nitrogen budgets are available for a variety of forest ecosystems, although most are incomplete; sulphur and phosphorus budgets are much less common and they are fragmentary. However, as the work proceeds, we are beginning to recognize that an understanding of the mechanisms that control cycling rates of an element requires consideration of element interactions.

Element interactions fall into two general categories; carbon-nutrient interactions, and nutrient-nutrient interactions. An example of a carbon-nutrient interaction is the stimulation of net primary productivity in a forest by added nitrogen (Miller and Miller, 1976). An example of a nutrient-nutrient interaction is the stimulation of nitrogen fixation by the addition of phosphorus (Griffith, 1978). Carbon-nutrient interactions are the central concern of this paper.

This paper presents four topics in the study of interactions among carbon, nitrogen, phosphorus, and sulphur in forest ecosystems. First, we consider element ratios in foliage and litter, and discuss what these ratios imply about the availability of nutrients to higher plants and the efficiency of nutrient use by the plants. Second, we review the ways in which plant nutrient status can influence the amount of carbon flowing through an ecosystem, the pathways of flow, and the proximate fate of the carbon. Third, we explore how man's impact on the global cycles of nitrogen, phosphorus, and sulphur may influence the ability of forest ecosystems to store carbon. And fourth, we evaluate the possibility that the terrestrial biosphere is on a carbon accumulation trend that is dependent on the dynamics of phosphorus availability during soil development and that is independent of the activities of man. J. R. Gosz is the principle author of section 6.2, and J. M. Melillo is the principle author of sections 6.36.5.

6.2 ELEMENT RATIOS IN FOLIAGE AND LITTER

Uptake of a nutrient is reflected in the amounts accumulated in plant tissues, and so nutrient concentrations and ratios in plant tissues have long been of interest to scientists concerned with mineral nutrition of higher plants. Nutrient concentrations in the green foliage of a tree species can vary from site to site because of different supplies of individual nutrients at the sites, and these variations are usually reflected in nutrient concentrations in leaf litter. In this section of the paper we consider some of the recent analyses relating variations in element concentrations and ratios in green foliage and leaf litter to nutrient availabilities in forests. This information relates to the uptake and return portions of the biogeochemical cycles.

6.2.1 Element Ratios in Foliage

The demand for nitrogen is closely related to tree growth, and nitrogen deficiency is, after water stress, the most frequently reported limitation to growth (Kozlowski, 1971; Kramer and Kozlowski, 1979). Phosphorus, like nitrogen, is in short supply in forest ecosystems in many parts of the world and the roles of phosphorus and nitrogen in plant metabolism are clearly interrelated in a number of ways (Loveless, 1962). Sulphur is primarily a constituent of amino acids and proteins. The stoichiometry between nitrogen and sulphur is fairly constant, indicating that on the average there are 36 atoms of nitrogen for each atom of sulphur in proteins. The ratio of total nitrogen to total sulphur in plants is close to this value under conditions where there is no luxury consumption of either element (Epstein, 1972).

Although the requirement for these elements in various organic compounds would suggest rather constant element ratios in green tissues, the ratios may vary considerably because of different supplies of individual nutrients. Each of the above nutrients has been shown to be taken up in excess (i.e. luxury consumption) and stored. Slowly growing species that absorb nutrients in excess of immediate growth requirements during times of high nutrient availability may use these reserves to support growth after soil reserves are exhausted (Chapin, 1980). The nutrients available for plant uptake may be present in ratios much different from those needed by plants. As many studies have shown, nitrogen can be taken up in excess and stored as amino acids, for example, arginine (Barnes and Bengtson, 1968; Kramer and Kozlowski, 1979). The absorption of sulphate from excess supply may be faster than its reduction and assimilation of the sulphur atoms into organic compounds. Thus, an appreciable fraction of total sulphur in plants may be in the form of sulphate (Epstein, 1972; Turner et al., 1980). Although phosphorus is absorbed as a complex anion like its nitrogen and sulphur counterparts (i.e. nitrate, sulphate), the phosphorus atom of phosphate is not reduced in the cell to a lower oxidation state (Epstein, 1972). In mature plants, phosphorus is temporarily stored as phosphate while seasonal storage may occur as phospholipids, nucleic acids, and other complex organic compounds. Luxury consumption and maintenance of inorganic phosphorus reserves by slowly growing species from infertile habitats are responsible for the high proportion of inorganic phosphorus and low proportion of structurally bound phosphorus characteristic of these species (Chapin, 1980).

Although concentration in foliage is commonly used to identify nutrient deficiencies and imbalances, variations in nutrient ratios have also been found useful. For example, conifers have total foliar nitrogen very nearly equal to organic foliar nitrogen. However, any sulphur in excess of that required to balance the nitrogen in protein formation is accumulated as sulphate-sulphur. Foliar sulphate-sulphur is low when sulphur is deficient and nitrogen is adequate, and sulphate-sulphur is high when sulphur is abundant and nitrogen is deficient. Turner et al. (1980) demonstrated that on nitrogen-deficient sites, additions of nitrogen resulted in the incorporation of sulphate-sulphur into organic forms. Thus, while the cycles of organic nitrogen and organic sulphur are closely coupled, excess sulphur can cycle as sulphate and operate somewhat independently of the nitrogen or carbon cycles (Turner et al., 1980). Some plants accumulate inorganic nitrogen (e.g., nitrate) and phosphate during conditions of excess supply (Dijkshoorn and Van Wijk, 1967), and therefore, these elements also can be expected to cycle independently. Relatively large differences in total nitrogen to total phosphorus ratios in tissue occur for various ecosystems, suggesting different cycling rates. Cole and Rapp (1980) report nitrogen to phosphorus ratios in uptake ranging from about 4:1 to 17:1 and 11:1 to 22:1 for 13 temperate conifer and 14 temperate deciduous forests, respectively. The nitrogen: phosphorus ratios for the requirements of these forests ranged from 5:1 to 16:1 and 8:1 to 19:1, respectively. The range of phosphorus uptake values was larger than the range of nitrogen uptake values, indicating that phosphorus availability may have caused most of the variation in the ratios.

6.2.2 Nutrient Translocation within Trees and Nutrient Use Efficiency

Very low uptake rates of an element in relation to demand by current growth results in efficient conservation and re-use of that element within the tree. Translocation of nutrients within the individual is an important mechanism for this efficiency. In much the same way that translocation of carbohydrates and their partitioning are controlled by the size of the food supply and relative sizes of various sinks, we suggest the translocation of nutrient elements is controlled by strength of the sink (i.e. demand) and magnitude of the source (i.e. supply). During the height of the growing season the relative strengths of the various sinks are: fruits and seeds > young leaves and stem tips > mature leaves > cambia > roots > storage (Kramer and Kozlowski, 1979). Relative distance from source to sink is also important, because sinks are supplied from the nearest source. Due to the asynchrony of growth of different plant parts, the same nutrient capital can serve several functions during the growing season. Tissues with an imbalance of nutrients such as an excess of sulphur and deficiency of nitrogen will have proportionately more of the nitrogen translocated (Turner et al., 1980). Nutrients in excess can be transported to storage areas. For example, leaves with high concentrations of nitrogen and phosphorus have a larger percentage of soluble and inorganic forms and may actually retranslocate a larger total quantity of nitrogen and phosphorus from leaves than would occur in leaves with nutrient deficiencies (Chapin, 1980). The most deficient element may possibly be transported to stronger sinks while storage, being a weaker sink, may draw a larger proportion of elements in excess. The true measure of the efficiency of this internal cycle may not be the total quantity translocated, but the ability to withdraw nutrients, leaving very low levels in senescing tissues. Thus, the percentage translocation may not be as important as the level to which the nutrient concentration can be decreased. A better measure of efficiency may be the quantity translocated divided by the amount remaining.

If there are ample soil supplies of a nutrient element, then less demand is put on the internal cycle and greater quantities may remain to accumulate in tissues as they age; an accumulation that is eventually reflected in higher nutrient concentrations in litterfall. This has been demonstrated in a number of fertilization studies (Barnes and Bengston, 1968; Miller et al., 1979; Turner et al., 1980). Similarly, studies that have decreased availability, and hence uptake, by practices such as sugarsawdust application, caused increased translocation efficiency in senescing tissues and decreased nutrient levels in leaching and litterfall (Turner, 1977; Turner et al., 1980). This also has been demonstrated across gradients of nutrient availability within natural stands. Sites with low nutrient availability have individuals and species that translocate proportionately more out of leaves before leaf fall than do the species on sites with abundant nutrients (Lamb, 1975; Stachurski and Zimka, 1975; Zimka and Stachurski, 1976). The relatively high concentrations of nutrients left in senescing leaves on nutrient-rich sites speed the decomposition and mineralization processes that enhance the high availability (Gosz, 1981). Figure 6.1 presents data for six communities showing a very good relationship between k values for nitrogen in leaf litter, a measure of the decomposition and release of this element, and percentage retranslocation out of leaves during senescence (Zimka and Stachurski, 1976).

Figure 6.1 The relationship between percent leaf nitrogen translocated prior to leaf abcission and the decay rate (k) for nitrogen in the litter for six forest ecosystems along a nutrient availability gradient in Poland (constructed from data of Zimka and Stachurski, 1976, and Stachurski and Zimka, 1975)

While many studies have demonstrated a reduction in nutrient concentrations between green and senescent tissues, Chapin (1980) reports that the limited evidence available does not confirm that species adapted to infertile soils are particularly effective in retranslocating nutrients prior to leaf abscission. Much more work is necessary in this important area.

In an attempt to determine whether nutrient cycling and nutrient use efficiency vary with forest type, we analysed 102 data sets taken from boreal to tropical sites in the northern and southern hemispheres for nutrients in litterfall. The quantity of a nutrient in litterfall is a measure of nutrient circulation (Gosz, 1981; Vitousek et al., 1982), particularly for nutrients such as nitrogen and phosphorus that are lost from the plant primarily through litterfall (Cole and Rapp, 1980). Vitousek (1982) suggested two extreme hypotheses to aid the interpretation of patterns of nutrient use efficiency in litterfall. One is that the efficiency of nutrient use, as measured by the amount of organic matter discarded in litter per unit of N, is constant for any level of nutrient supply and circulation; the concentration of a nutrient in litterfall would then be constant. The variable nutrient concentrations in litter prove this hypothesis false. Alternatively, it could be hypothesized that nutrient circulation is unrelated to litterfall mass. Litterfall mass would vary independently or randomly from nutrient circulation. If this were true then a plot of the carbon:nutrient ratio of litterfall versus the nutrient content of litterfall would result in a random scatter of points with an upper limit of the form Y = 1/X (Figure 6.2). The upper limit is a result of autocorrelation; the X-axis values are used in the calculation of Y-axis values (Vitousek, 1982).

Figure 6.2 The relationship between the amount of nitrogen in litterfall and the carbon:nitrogen ratio of that litterfall. Data from 102 forest sites world-wide (T-tropical, D-deciduous, C-conifer, E-Eucalyptus). The dashed line is the upper limit for the relationship for randomly generated data. See text for explanation

In Figure 6.2 we have plotted carbon:nitrogen ratio versus nitrogen content of litterfall for tropical hardwood, temperate conifer, temperate deciduous, Eucalyptus (Australia), and Nothofagus (New Zealand) forests. The overall plot reveals a strong inverse relationship between carbon:nitrogen ratio and the mass of nitrogen in litterfall. This inverse relationship differs from one generated with random data by being more confined (less variation) and having a steeper logarithmic function.

An analysis by vegetation types shows that the relationship between carbon:nitrogen ratio and nitrogen in litterfall varies markedly. Regression coefficients for these communities were significantly different (P < 0.05) from coefficients of randomly generated data. Tropical vegetation has a very high litter nitrogen content and, although the slope of the regression lines is significantly different from 0 (P < 0.05), it is the closest to a horizontal line (i.e. the hypothesis stating that the efficiency of nitrogen use is unchanged at different rates of nitrogen circulation). The higher nitrogen levels in litter suggest nitrogen circulation is always high, however. One interpretation is that nitrogen is in excess in these forests with respect to other elements and may be cycling somewhat independently.

The regression for temperate deciduous forests has a slope somewhat greater than that for the tropics and differs primarily in the lower nitrogen content of the litter. These two vegetation types seem to comprise a continuum across a large portion of the range of nitrogen contents of litterfall.

Conifer forests show a marked increase in slope, and have some of the lowest litter nitrogen contents. The evergreen Nothofagus forests of New Zealand show similar plots. The conifer vegetation type shows a curvilinear relationship (Figure 6.2) and may be divided into two parts; more than or less than 3 g m-2 yr-1 nitrogen in litterfall. Forests with nitrogen masses of less than 3 g m-2 yr-1 in litter have an almost vertical slope for their plots. For forests with nitrogen values greater than 3 g m-2 yr-1, the plots are similar to deciduous forest plots. Interestingly, these sites are 2033 year-old plantations of various conifer species on former hardwood sites (Gloaguen and Touffet, 1976). Vitousek (1982) also reports a high nitrogen content in the litter of a balsam fir forest in New Hampshire. However, this native conifer forest is nitrogen-rich perhaps because of high nitrogen inputs in acid precipitation. The Eucalyptus forests of Australia also plot along a steep slope (P < 0.05, Figure 6.2) showing a strong relationship between nitrogen circulation and litterfall carbon to nitrogen ratio.

The data of Figure 6.2 are based on annual litterfall measurements. A comparison of tropical forests with temperate forests on an annual basis may not be appropriate because decomposition rates are so rapid in the tropics. With litter decomposing in a matter of months, a pool of high available ntirogen may be circulated several times in the course of a year. Assuming that the nitrogen pool was used three times per year (i.e. nitrogen content of litter/3) would increase the carbon:nitrogen ratio of annual litterfall by a factor of three. A plot of such data would result in a steep slope more similar to those of conifer and Eucalyptus communities. These data suggest a much more efficient use of nitrogen at the ecosystem level in the tropics than annual litterfall nitrogen values indicate. The resolution of this difference is an important research objective.

Figure 6.3 The relationship between the amount of phosphorus in litterfall and the carbon: phosphorus ratio of that litterfall. Data from 102 forest sites world-wide (T-tropical, D-deciduous, C-conifer, E-Eucalyptus)

Although the data of Figure 6.2 indicate that tropical forests have high nitrogen levels in litterfall, this is not the case for all tropical forests. Many areas in the tropics (e.g., certain parts of Venezuela and Brazil) are nutrient-poor and have lower nitrogen levels in litterfall (R. Herrera, personal communication). These sites plot with the conifer forests in Figure 6.2. Similarly, conifer and deciduous forests can have high nitrogen levels in litterfall and plot more like tropical sites.

The results for phosphorus (Figure 6.3) differ somewhat from those for nitrogen in that there are steeper slopes for tropical and Eucalyptus forests, while slopes for conifer and deciduous forests are similar. Also, the range of phosphorus in tropical litterfall is very large. The data for Eucalyptus forests give a plot that is nearly a vertical line; a situation where phosphorus circulation is low and almost constant. This is of interest because of the marked phosphorus deficiency cited for most of Australia (Loveless, 1962). The results for conifer, Nothofagus, and deciduous forests are less obvious and although they have similar and significant regression lines (P < 0.05), the scatter of points is appreciable.

Figure 6.4 The relationship between the amount of phosphorus in litterfall and the nitrogen: phosphorus ratio of that litterfall. Data from 102 forest sites world-wide

The relationship between nitrogen and phosphorus in litterfall appears different for different forests. In Figure 6.4 we have plotted nitrogen:phosphorus ratios versus the phosphorus content of litterfall. A highly significant relationship exists for the tropical forests (P < 0.001). The tropical forests are normally described as nitrogen-rich forests, as can be seen from Figure 6.2. The major factor in the relationship seems to be the quantity of phosphorus in litter, with the range of phosphorus values almost four times the range of nitrogen values (Figure 6.5). High phosphorus in litter reduces the nitrogen to phosphorus ratio in litter and low phosphorus increases the ratio. This suggests that nitrogen acts like an element in excess (i.e. the efficiency of nutrient use is unchanged at various levels of nutrient circulation) while phosphorus use efficiency is more strongly related to phosphorus circulation. The relationship for conifers also is statistically significant (P < 0.05), although the scatter of points is appreciable. The other vegetation types did not have significant relationships.

Figure 6.5 The relationship between the phosphorus and nitrogen concentrations in litterfall. Data from 102 forest sites world-wide

The relatively strong relationships between carbon and nutrients (Figures 6.2, 6.3) and the lack of a relationship between nutrients (Figures 6.4, 6.5) for most forests again indicate the nutrient use efficiency of one nutrient is somewhat independent of that for another nutrient. Unfortunately, little data are available for sulphur, preventing us from testing this result with other nutrient combinations.

If correct, these data support our previous discussions that the efficiency of nutrient use is inversely related to the availability or rate of circulation of that nutrient. At high levels of availability, the mass of litterfall (a measure of productivity) is not related to levels of the nutrient in litterfall. At lower nutrient levels, the carbon to nutrient ratio in litterfall is markedly influenced and the efficiency of use of the nutrient increases. This also agrees with previous discussions that the requirement for this nutrient causes strong sinks and translocation out of senescent tissues, resulting in high carbon to nutrient ratios in litterfall. At very low nutrient levels (nutrient deficiency) litterfall mass again appears unrelated to the nutrient content of litterfall. It is as if there is a minimum level to which the nutrient content of litterfall can be reduced despite a strong sink effect and effective translocation.

Figure 6.6 The relationship between phosphorus content of litterfall and the fibre:protein ratio of that litterfall (data of Loveless, 1962)

A high carbon to nutrient ratio or high litterfall mass with low nutrient content can be described as an efficient use of the nutrient (i.e. high litter production per unit of nutrient (Vitousek, 1982)). Translocation of nutrients out of senescing tissue would contribute to this efficiency, although the extremely high carbon to nutrient ratios in litter of some conifer and Eucalyptus forests suggest other physiological processes are involved. Loveless (1962) proposed that sclerophylly was related to nutrient availability. Sclerophyllous leaves have a high fibre:protein ratio caused by reductions in protein content and concomitant increases in fibre (cellulose, lignin). A plot of fibre to protein versus phosphorus concentration is suggestive of a limiting factor curve (Loveless, 1962); that is, the fibre:protein ratio decreases with increased phosphorus content up to a certain level (i.e. 0.3%) above which increased phosphorus content does not result in a further proportional decrease in the fibre to protein ratio (Figure 6.6). The roles of phosphorus and nitrogen in plant metabolism are interrelated in many ways and both are essential for protein synthesis. Thus, lowered protein levels could be a result of either low nitrogen or low phosphorus content. Furthermore, it is reasonable to expect that the intermediate products of metabolism that otherwise might have formed protein should, in the absence of either adequate phosphorus or nitrogen, be diverted along alternative metabolic pathways to form other end-products, including fibre (Loveless, 1962; Neish, 1964; Gosz, 1981).

Gnanam et al. (1980) proposed a mechanism of action for ammonium in regulating the photosynthetic carbon flow. In this scheme ammonium ions seem to regulate the photosynthetic carbon flow by abolishing the light activation of the enzymes that would normally favour the flow of carbon toward sugar biosynthesis, thereby facilitating the increased synthesis of amino acids.

These results suggest that in addition to translocation of scarce nutrients from senescing tissues to other sinks within the plant, tissue chemistry in nutrient deficient sites also is different. For nutrient deficient sites, the diversion of proportionately more carbon into fibrous material along with a more complete removal of nutrients by translocation may account for the very high carbon to nutrient ratios in litterfall.

6.2.3 Summary

Several conclusions can be drawn from an analysis of element ratios in foliage and litter:

  1. Element ratios in green foliage and leaf litter vary among sites because of different supplies of individual nutrients at the sites.
  2. The withdrawal or translocation of nutrients from leaves prior to abscission is an important nutrient conservation mechanism in forest ecosystems.
  3. A high carbon:nutrient ratio or a high litterfall mass with low nutrient content can be described as an efficient use of the nutrient under consideration. Translocation of nutrients out of senescing tissue contributes to this efficiency.
  4. Nutrient use efficiency of one nutrient is often independent of nutrient use efficiencies of other nutrients; for example, efficient use of nitrogen in a forest ecosystem does not necessarily imply efficient use of phosphorus in that system.
  5. The efficiency of nutrient use is strongly related to the quantity of the nutrient cycling within the forest ecosystem. The quantity of a nutrient in litterfall is a measure of the nutrient cycling rate.

6.3 CARBONNUTRIENT INTERACTIONS AT THE ECOSYSTEM LEVEL 

Net carbon storage in forest ecosystems is determined by the balance among three distinct processes: (1) the net amount of carbon fixed by the vegetation (i.e. carbon fixed in excess of plant respiratory demand); (2) the relative amounts of this fixed carbon allocated to vegetation growth increment versus plant litter; and (3) the decomposition of carbon compounds entering the soil system. All three of these processes are regulated by temperature, moisture and the availability of key nutrients such as nitrogen, phosphorus, and sulphur. Light and carbon dioxide concentration of the atmosphere serve as additional regulating factors on the process of carbon fixation by vegetation.

The primary objective of this section is to examine how the cycles of nutrients are linked to both the paths of carbon transfer and the amounts of carbon storage in forest ecosystems. We present a simple model (summarized in Figure 6.7) that we use to identify the linkages between carbon and nutrient dynamics in forests. Our analysis suggests that the nutrient dynamics of a system can control the amount of carbon that moves through a system, the pathways of its movement, the amount of carbon accumulated in the system, and the distribution of the accumulated carbon in the system. We envision a series of switches in the carbon flow pathway, which are in part under the control of the nutrient status of the plants in a system.

6.3.1 Photosynthesis and Net Primary Production

Photosynthesis and net primary production (net dry matter production by green plants) are distinct components of the carbon budget of a forest ecosystem. Carbon flux through a forest begins with photosynthesis, or the conversion of CO2 to organic carbon compounds. Some fraction of the total photosynthate is consumed in plant respiration, with the carbon returned to the atmosphere as C02. The remainder of the photosynthate is used to build plant tissues (e.g. leaves, stems, roots) and soluble organic compounds (e.g. root exudates). The tissues and soluble compounds produced during the course of a year comprise the system's annual net primary production.

A. Photosynthesis

Plant nutrient status along with light, temperature, and water availability are important controlling parameters for photosynthetic rate. Several comprehensive reviews document the relationship between leaf nutrient status and photosynthetic rate (e.g. Keller, 1967; Natr 1972, 1975). According to these reviews, nitrogen occupies a special place among nutrients involved in photosynthesis. One generalization that emerges is that a quantitative relationship exists between rate of photosynthesis and nitrogen content of leaves. Photosynthetic capacity often increases linearly with increases in leaf nitrogen concentration if light, water and other nutrients are not limiting. This relationship is well documented for crop plants and non-woody wild plants (Natr, 1975), and for both deciduous (Keller, 1960) and coniferous (Keller, 1971) tree species.

The nutrient status of plant parts other than leaves also influences photosynthetic rate through complex source-sink control mechanisms (Wareing and Patrick, 1975). Under conditions where the potential rate of carbon fixation in the leaves exceeds the rate of carbon consumption throughout the rest of the plant, there is a feedback mechanism whereby the rate of assimilation is regulated to meet demand. The demand for carbon by various plant parts is, in turn, related to their nutrient status. For example, nitrogen deficiency limits the formation of new tissue and thus the demand for photosynthate (Kramer, 1981).

By influencing a plant's demand for photosynthate, plant nutrient status exerts an influence on the ability of a plant to respond to elevated levels of CO2. Working with tobacco plants, Raper and Peedin (1978) reported a close relationship between nitrogen supply and the ability of the plants to respond to enhanced CO2 levels. During a 35 day study, tobacco plants growing at `low' levels of nitrogen supply in CO2 concentrations of both 400 ppm and 1000 ppm had per plant photosynthetic rates that were only 60 percent of the photosynthetic rates exhibited by tobacco plants growing at `high' levels of nitrogen supply in the same two CO2 concentrations. Other nutrients besides nitrogen can also influence photosynthetic rates. Sulphur deficiency prevented photosynthesis of sugar beet from responding to an increase in CO2 concentration (Thomas and Hill, 1949). Unfortunately, no studies have been conducted to examine the relationship between the nutrient status of forest trees and their ability to respond to elevated levels of CO2. Such studies are important for our understanding of the carbon flux through forest ecosystems and the role of forest vegetation in the global carbon budget.

B. Partitioning of Total Photosynthate between Respiration and Net Primary Production

All biomass production ultimately depends on photosynthesis. This fact does not imply that the rate or extent of net primary production bears a close relationship to the photosynthetic rate, or is determined by it. The processes that follow photosynthesis, such as respiration, can be major determinants of productivity. The loss of photosynthate by dark respiration can be substantial, particularly in communities having a large biomass, and growing under high temperatures. In the massive forests of southern Thailand, for example, Kira (1975) estimates that about three-quarters of the carbon assimilated in photosynthesis is lost by dark respiration.

The partitioning of the total photosynthate between respiration and net primary productivity is controlled by a variety of factors. In non-woody plants there is some evidence that plant nutrient status is in part responsible for determining the fate of photosynthate. Based on work with the grassland species Plantago lanceolate, Lambers et al. (1981) have suggested the existence of an overflow metabolism or SHAM (salicylhydroxamic acid) pathway in roots of plants growing in environments with fluctuating nutrient availabilities. In such environments, plants may maintain sink strength in leaves that allows high rates of photosynthesis. To maintain photosynthate demand in leaves, which have limited carbon storage capacity, the fixed carbon is transported to other plant parts such as the roots. At times of high nutrient availability, and thus high nutrient status throughout the plant, there will be high demand for the photosynthate and it will be incorporated into plant tissues and become part of the net primary production of the system. At times of low nutrient availability and thus low nutrient status throughout the plant, there will be low demand for the photosynthate and it will be respired via the SHAM pathway.

The importance of the SHAM pathway and other biochemical pathways for wasteful oxidation (Solomos, 1977) has not been established for forest tree species. Both woody and non-woody plants certainly have other strategies for photosynthate management in environments of fluctuating nutrient availability. As mentioned in the previous section, the capacity of a plant to engage in luxury consumption of nutrients may be an important mechanism for dealing with the asynchronies that often exist between nutrient availability and carbon fixation.

6.3.2 Shoot:Root Ratio and the Response of Shoots and Roots to Fertilization 

The relative distribution of plant carbon between above-ground parts (shoots) and below-ground parts (roots) is closely related to plant nutrient status, which in turn reflects soil nutrient availability (cf. Figure 6.7). Shoot:root ratios of both deciduous and coniferous tree species tend to be lower in infertile habitats than in fertile habitats (Yen et al., 1978; Grier et al., 1980; Keyes and Grier, 1981).

The initial response of forest trees to improved soil nutrient availability, and thus plant nutrient status, seems to be an increase in the relative amount of annual net primary production allocated to roots (Safford, 1974; Miller and Miller, 1976; Brix and Mitchell, 1980). The enhanced root growth presumably increases uptake of both water and nutrients and permits increased above-ground growth.

Above-ground growth response to fertilization appears to be closely related to increases in leaf area. Brix and Ebell (1969) reported that the only above-ground plant factor associated with increased diameter growth of a 20-year-old Douglas fir stand fertilized with nitrogen was increased leaf area. In a subsequent experiment on Douglas fir, Brix (1971) found that, although rates of photosynthesis and dark respiration increased after nitrogen fertilization, most of the increase in diameter growth was caused by the increase in leaf area. Fertilization was most effective in open stands where the leaf area was below the optimum and water supply was not limiting. Tamm (1979) also reported that the close correlation between leaf area and stem growth observed in young conifer stands decreased as the stands closed and shading effects increased in importance.

Figure 6.7 Model describing the interaction between the nutrient and carbon budgets of forest ecosystems. Ä Symbols indicate switches in the carbon budget that can be influenced by the nutrient status of the plants or nutrient availability in the system

In closed canopy stands, fertilization may affect stand composition more than it affects overall stand growth. The larger trees in the stand will often accumulate nutrients more rapidly than smaller trees, with the result being more rapid growth of the larger trees. This causes the loss of lower crown classes from the stand, but the rapid growth of the dominant trees maintains the stand's leaf area and sapwood cross-sectional area (Jarvis, 1975). However, increases in sapwood cross-sectional area are not always related in a simple way to biomass increment. For example, Brix and Ebell (1969) reported that the effect of nitrogen fertilization on dry matter production in Douglas fir is lower than it is on volume increment, since the specific gravity of treated trees consistently decreased after fertilization and was 12 percent lower than that of the controls.

6.3.3 Carbon Allocation to Perennial Versus Deciduous Plant Parts

The carbon component of net primary production in forest ecosystems can have three fates: (1) it can be allocated to perennial parts and become incorporated into the vegetation's growth increment (the vegetation increment of net ecosystem production); (2) it can be transferred from the vegetation to the soil in plant parts as litter; and (3) it can be transferred from the vegetation to the soil as soluble organic compounds that are leached from above-ground plant parts or exuded from roots.

The evidence to date suggests that soluble carbon transfer to the soil in leachates and exudates is a small part of the carbon component of net ecosystem production in forests (e.g. Gosz et al., 1976). And at this time it is not clear how plant nutrient status affects the relative magnitude of this transfer.

As an aside, it is interesting to note that in plants with very limited storage capacity, the management of photosynthate during periods of low nutrient availability involves the exudation of photosynthate. This is evident, for example, in some communities of algae growing in oligotrophic waters (Fogg, 1975). For many of these algae, growth is limited to such an extent by nutrient supply that they cannot use most of their photosynthate and may excrete up to 90% of it. At first glance, this means of managing excess photosynthate would seem to further lower nutrient availability by promoting blooms of micro-organisms that have nutrient demands. If nitrogen is the limiting nutrient, as it may be in some river waters, the excretion of simple carbon compounds by algae may promote nitrogen fixation by micro-organisms, thus aleviating some of the nutrient stress. An analogue of this scenario may be occurring in forest ecosystems. Trees growing in nitrogen-poor soils may promote nitrogen fixation by micro-organisms in the root zone by allocating a larger percentage of their photosynthate to root exudation than trees growing on nitrogen-rich soils. There is some evidence that this may be occurring in dwarf willows in Alaska, with mycorrhiza acting as intermediates in the process (Linkins, personal communication). Mycorrhizal fungi associated with the dwarf willows can convert the sucrose they receive from the willows to mannitol, some fraction of which is then exuded from the mycorrhizae into the soil. Since mannitol is a preferred carbon form for free living nitrogen-fixers, the allocation of photosynthate to the root-mycorrhizal complex of plants growing in nitrogen-poor sites can promote fixation.

Turning now to a consideration of the major fates of the carbon component of net primary production, we ask the following question: Does the nutrient status of the trees in a forest influence the relative distribution of net primary production between litter and the vegetation growth increment? Studies relevant to this question are few. One of the most useful is the work of Turner (1977) on the effects of nitrogen availability on nitrogen cycling in a Douglas fir stand. Turner created a gradient of nitrogen availabilities in a 50-year old Douglas fir stand in Washington State, U.S.A. The annual net primary production was highest in fertilized sites and lowest in the site where nitrogen availability was lowered relative to the control by the additions of carbohydrate to the soil, which promoted microbial immobilization of nitrogen. In the first year of the study, trees growing in high nitrogen availability sites allocated a smaller percentage of their net primary production to litter than to growth increment compared to trees growing in the control and nutrient stressed sites (Table 6.1). Part of this response is associated with the fact that fertilization increases leaf longevity of conifers in the first year of application (Miller et al. 1976, Chapin 1980). The relative distribution of the net primary production among stem increment, branch increment, and new foliage production was similar in the control and fertilized trees. In the stressed trees, the relative distribution of the net primary production was similar to that of the others for branch increment and new foliage production, but substantially less than the others for stem increment (Table 6.1). These data suggest that the relative amount of net primary production allocated to stem growth is variable under nutrient stress conditions in the Douglas fir.

From a study of the effect of nitrogen supply on net primary production in Corsican pine, Miller and Miller (1976) reported that repeated fertilization over a 3-year period: (1) increased the amount of net primary production substantially; and (2) reduced the relative amount of net primary production allocated to litter (Table 6.2). In fertilized trees the relative allocation of net primary production to new foliage production, stem increment, and root growth generally increased compared to non-fertilized trees.

6.3.4 Litter Decomposition

In section 6.2, we suggested that litter quality is related to the nutrient status of the plant. We argued that nutrient stressed plants retranslocate large amounts of nutrients into woody parts before leaf fall, thus lowering the nutrient content of the litter. Also, plants growing on nutrient-poor sites contain a larger proportion of complex carbon compounds (e.g., lignin and polyphenols) in their litter than plants growing on nutrient-rich sites (Loveless, 1962; Davies et al., 1964 a, b; Lamb, 1976; Gosz, 1981). We will now present evidence that litter quality can affect both the decomposition rate of fresh litter and the relative amount of that litter that is ultimately transformed to meta-stable `humus'.

Table 6.1 Net primary production rates and allocation of net primary production in treated and control Douglas-fir forests (calculated from Turner, 1977)


Treatment
88 g N m-2 yr-1
22 g N m-2 hr-1
Control
Carbohydrate

Net Primary Production*
512
512
492
405
(g C m-2 hr-1)
Allocation of NPP
(percentage)
Litterfall
  12.6
 16.5
  19.0
  29.5
Total Growth Increment
  87.4
 83.5
  81.0
  70.5
Stem Increment
  57.2
 54.1
  53.7
  41.9
Branch Increment
   5.2
     4.9
    4.8
      6.4
New Foliage Production
  25.0
 24.5
  22.5
  22.5

*Above-ground components only. Carbon calculated as 50% of dry matter.

Table 6.2 Net primary production rates and allocation of net primary production rates in fertilized and control Corsican pine forests (Miller and Miller, 1976)


Treatment

0

8.4

16.8

33.6

50.4

(g N m-2 yr-1

Net Primary Production*
560

845

930

935

950

(g C m-2 yr-1)
 
Allocation of NPP
(percentage)
Foliage

8

11

14

16

16

Live Branches and twigs

12

11

9

9

6

Dead Branches

4

2

2

1

4

Stem Wood

32

29

37

40

30

Stem Bark

7

6

6

5

6

Root System

13

26

17

15

23

Litterfall

24

15

15

15

15


*Carbon calculated as 50% of dry matter.

A. Litter Quality and Decomposition Rate

Little quality, as defined by chemical composition of the material, has long been considered a critical factor in determining rate of decay (Waksman and Tenney, 1927). Chemical indices of litter quality include element concentrations and concentrations of various classes of organic compounds.

Cromack (1973), Cromack and Monk (1975), and Fogel and Cromack (1977) have reported that the initial lignin concentration in the litter is an excellent index to the rate of weight loss of litter samples. Initial lignin concentration also gave a high correlation with decomposition rate when the data of Lockett (1937) were re-analysed by Cromack (1973).

A high correlation between initial nitrogen concentration and decomposition rate has been demonstrated by a number of researchers, including Bal (1922), Hill (1926), Waksman and Tenny (1928), Waksman and Gerretsen (1931), Monnier and Jeanson (1964), Cowling and Merrill (1966), Satchell and Lowe (1966), Witkamp (1966), and Zimka and Stachurski (1976). But the high correlation between initial nitrogen concentration and decomposition is not universal. Melin (1930), and Daubenmire and Prusso (1963) have found poor correlation between decomposition rates and the initial nitrogen percentage in litter.

w

Figure 6.8 The relationship between the percent biomass remaining in decomposing leaf litter at the end of 12 months of decomposition in the field and the initial lignin:nitrogen ratio of the various litter materials. At the New Hampshire site the leaf litters are as follows: Be, American beech; SM, sugar maple; PB, paper birch; RM, red maple; PC, pin cherry; and A, ash. At the North Carolina site the leaf litters are as follows: WP, white pine; CO, chestnut oak; WO, white oak; RM red maple; and FD, flowering dogwood. From Melillo et al. (1982)

Melillo et al. (1982) have found that the ratio of initial lignin concentration to initial nitrogen concentration is a better predictor of decomposition rate than is either initial lignin concentration or initial nitrogen concentration (Figure 6.8). Since lignin is among the most difficult organic compounds to decompose, and since nitrogen is, for many ecosystem processes, the most limiting nutrient, it is reasonable that the lignin: nitrogen ratio of litter would be a good predictor of decomposition rate.

Slow rates of litter decomposition can result in the accumulation of large unavailable nutrient stocks in a forest soil's surface horizons, and nutrient limitations for primary producers (Siren, 1955; Weetman, 1962; Heilman and Gessel, 1963; Florence, 1965; Watt and Heinselman, 1965; Heilman, 1966; Miller, 1969; Adams et al., 1970; Lamb, 1971). It is not difficult to envision a positive feedback loop that would result in the perpetuation of an unproductive forest stand: plant nutrient stress promotes the production of low-quality litter that decomposes slowly, releasing nutrients slowly, and thereby perpetuating plant nutrient stress.

B. Litter Quality and the Formation of Humus

Formation of humus, the meta-stable organic fraction of soils, is still a poorly understood process. Evidence suggests that lignin and polyphenols contribute to humus formation (Allison, 1973). DeHaan (1977) found a high correlation between humus formation and the amount of lignin introduced into soils over a 10 year period. Given that lignin concentrations are generally higher in litter of nutrient-poor sites, it may be that in relative terms, more of the litter entering the soil in a nutrient-poor site would be transformed to humus than would be the case in a nutrient-rich site. If this speculation is true, then the nutrient status of plants would affect carbon flow in soils. In absolute terms, the higher litter inputs associated with nutrient-rich sites may ultimately lead to more humus formation per unit time, despite the fact that a smaller percentage of the litter will be transformed into humus. This may be a critical component of calculations on the effects of forest fertilization on carbon storage.

C. Root Litter and Soil Carbon Stocks

To this point, we have only considered above-ground litter input. Root litter input to soils, especially fine root litter input, can be very large. For example, Edwards and Harris (1977) estimate a fine root litter input of 900 g C m-2 yr-1 in a temperate zone hardwood forest.

The fraction of root litter input transformed to refractory humus in forests is not known. Relatively labile carbon compounds can also have a prolonged residence time in soils if they are physically protected from decomposition. Allison (1973) suggested that this process may be very important in determining the fate of root litter input. He notes that roots have some advantages over top residues as carbon sources to soils. Roots are intimately mixed with the soil at all times and, as they decompose, produce a gum-like material, that is well distributed. These polysaccharide `gums' are in a position to act as cements between soil particles as they are being formed into aggregates by various forces. When fixed in aggregates there is much evidence that the polysaccharide `gums' are protected for a time against oxidation by micro-organisms.

Table 6.3 Total net primary production in g m-2 yr-1 for two 40-year-old Douglas fir stands (Keyes and Grier, 1981)


Component
Poor site
% of total
Good site
% of total

Stem wood

420

27

.3

820

46

.0
Stem bark 90 5 .8

170

9

.5
Living branch
20

1

.3

60

3

.4
Foliage

200

13

.0

320

18

.0
Large root (> 5 mm)

110

7

.1

160

9

.0
Small root (25 mm)

140

9

.1

110

6

.2
Fine root (< 2 mm)

560

36

.4

140

7

.9
  Total

1540

100

1780

100


Polysaccharides are also produced during decomposition of surface litter, but the polysaccharides are usually not in intimate contact with the soil. Furthermore, the polysaccharides produced in the surface litter are decomposed so rapidly that there is only limited movement from the immediate areas where they are formed.

As mentioned earlier, both relative and absolute amounts of net primary production allocated to roots may be larger in nutrient-stressed stands than in nutrient-rich stands. This is clearly seen in the data of Keyes and Grier (1981; Table 6.3). On the nutrient-rich site the net primary production allocated to fine roots in a 40-year old Douglas fir stand was 140 g C m-2 yr-1, which amounted to 7.9 percent of the net primary production. In the nutrient-poor site, the primary production allocated to fine roots in a 40-year old Douglas fir stand was 560 g C m-2 yr-1, which amounted to 36.4 percent of the net primary production. It is currently hypothesized that the annual fine root production dies off and becomes root litter. Combining the concept of physical protection from decomposition of relatively labile compounds with the fact that both the relative and absolute amounts of carbon entering the soil in root litter can be larger in nutrient-poor sites than in nutrient-rich sites, it is logical to suspect that plant nutrient status acting on the shootroot ratio switch may affect the respirationnet soil increment switch in the soils (cf Figure 6.7). By increasing the amount of carbon input in litter from above-ground entry to below-ground entry, the rate of carbon storage at depth in soils may increase.

6.3.5 Summary

In this section we have discussed the ways in which plant nutrient status can influence the amounts of carbon flowing through an ecosystem, the pathways of flow, and the proximate fate of the carbon. We envision nutrients acting on a series of switches in the carbon flow pathway. It is not surprising that our arguments suggest that the net primary production per unit area in forests growing on nutrient-rich sites is greater than that on nutrient-poor sites. More interestingly, on nutrient-rich sites as compared with nutrient-poor sites, a greater percentage of the net primary production is allocated to plant growth increment. Carbon accumulations in soils of nutrient-poor sites may be larger per unit of carbon in net primary production because of the increased fraction of net primary production that is allocated to fine roots and eventually fine root litter.

These considerations raise a series of interesting questions at the global scale. Will chronic low level additions of fertilizer to forests, such as may be occurring through air pollution and subsequent rain-out, shift the pathways of carbon flux in these ecosystems? Is the fertilization causing not only an increase in net primary production, but an increase in the amount of net primary production that is stored in the vegetation? If we define the efficiency of carbon storage in vegetation as the annual plant growth increment divided by annual net primary production, the fertilizer studies just reviewed would suggest that an improvement in plant nutrient status results in increased carbon storage efficiency. This result is consistent with the sourcesink concept of photosynthate use discussed earlier.

6.4 ELEMENT INTERACTIONS AND THE GLOBAL CARBON CYCLE 

The global carbon cycle is linked to other element cycles in many complex ways. For example, the burning of fossil fuels not only releases large amounts of carbon to the atmosphere, but it also increases the input of nitrogen, phosphorus, and sulphur to the atmosphere. Some of this nitrogen, phosphorus, and sulphur may enter terrestrial ecosystems in bulk precipitation, resulting in an increase in nutrient availability in these systems. This rise in available nutrients may in turn stimulate both carbon fixation and storage in terrestrial ecosystems, as has been suggested by Deevey (1970) and Simpson et al. (1977), thereby altering the dynamics of the global carbon cycle. In this section of the paper we consider how man's alteration of the global cycles of nitrogen, sulphur, and phosphorus could potentially increase the carbon storage capacity of the world's forests and thereby alter the global carbon balance.

6.4.1 The Global Carbon Cycle: An Overview

The carbon dioxide concentration of the atmosphere has risen at least 40 ppm since the beginning of the industrial revolution. The present annual rate of increase is between 1.0 and 1.5 ppm, translating to an increase in the atmospheric carbon load of about 2700 Tg of carbon per year.

The annual carbon budget for the atmosphere can be formally stated as a mass balance equation (Equation 1) with two source terms and two sink terms. The two source terms are: (1) the release of carbon dioxide to the atmosphere from the combustion of fossil fuels (FFR in Equation 1); and (2) the net release of carbon dioxide to the atmosphere resulting from land use changes (e.g., forest to cultivated field, pasture to forest) and the oxidation of harvested renewable resources (TR in Equation 1). The two sink terms are: (1) the net uptake of carbon from the atmosphere by a variety of processes in the world's oceans (OU in Equation 1); and (2) the net uptake of carbon from the atmosphere by terrestrial ecosystems due to `fertilization' of these systems with carbon dioxide or nutrients, or both (TU in Equation 1). In the mass balance equation, AI is the annual increase in the carbon stock of the atmosphere.

AI = FFR + TR OU TU

(1)

Table 6.4 contains the current best estimates of the variables in Equation 1. The magnitude of the release of carbon dioxide to the atmosphere from the combustion of fossil fuels is well known; This process is now estimated to release about 5200 Tg of carbon annually (Rotty, 1981). Estimates have ranged over an order of magnitude for the net release of carbon dioxide to the atmosphere from terrestrial vegetation and soils as a consequence of land use changes and the oxidation of harvested renewable resources (Table 6.5). To date, the most systematic analysis of the terrestrial source term has been conducted by Houghton et al (1983). According to their `population' based estimate, the magnitude of this source term is currently 2600 Tg of carbon annually. The net annual uptake of carbon dioxide from the atmosphere by the world's oceans is now estimated to be 2100 Tg of carbon (40% of the amount of carbon released from the combustion of fossil fuel).

With four of the five terms in the mass balance equation defined, we can calculate TU, the net annual storage of carbon by terrestrial ecosystems due to `fertilization' of these systems with carbon dioxide or nutrients, or both. By difference, the `fertilization' factor required to balance the global carbon budget is 3000 Tg of carbon.

A central question in the global carbon cycle is: Will carbon storage on land increase in response to man's acceleration of the global cycles of N, S, and P? We will assume that N, S, and P added to forests in bulk precipitation act as fertilizer. In this section of the paper we attempt to evaluate the consequences of such a fertilization.

We will use a simple element-matching approach to evaluate the expected increase in carbon storage in a terrestrial ecosystem following the addition of a given amount of a plant nutrient. Two assumptions are made in an element-matching analysis: (1) carbon will be stored in some constant proportion to nitrogen, sulphur, and phosphorus; and (2) the concept of a single limiting nutrient for plant growth and organic matter decomposition is valid.

Table 6.4 Components of the atmospheric carbon budget for 1980


Amount

Symbol

(Tg C/yr)
Commments

Inputs to atmosphere
FFR

5200

Source of Estimate Rotty (1981). The error
Fossil fuel CO2
associated with this estimate is probably
12-15% (Keeling, 1973).
Net CO2 flux due to forest cutback, etc. TR 2600 Population-based estimate from Houghton et
al. (1983). The range for net release from the
biosphere reported by Houghton et al. (1982)
is 1,8004,700 T g C/yr in 1980.
Outputs from atmosphere
CO2 uptake by oceans OU 2100 Estimate calculated as 40% of the amount
released from fossil fuels (Broecker et al.
1979). The error associated with this estimate
is probably 2025% (Broecker et al., 1979).
CO2 taken up and stored in plants and
organic residues
TU 3000 Calculated by difference
Accumulation in atmosphere

2700

Estimated from measurements made by
Bacastow and Keeling (1981). The error
associated with this estimate is probably less
than 23% (Bacastow and Keeling, 1981).

Table 6.5 Estimates of annual net carbon exchange between terrestrial ecosystems and the atmosphere in or about 1980. Positive values indicate net terrestrial releases to the atmosphere

Author Amount (Tg C yr-1)

Adams et al. (1978)   400 to 4,000
Bolin (1977)   400 to 1,600
Wong (1978) 1,900
Hampicke (1979) 1,500 to 4,500
Woodwell et al. (1978) 2,000 to 18,000
Moore et al. (1981) 2,200 to 4,700
Houghton et al. (1982) 2,600 population-based estimate
   (range 1,8004,700)

6.4.2 Element Composition of Forest Ecosystems

The mean element composition (by weight) of the three major components of forest ecosystemsvegetation, surface litter (i.e., forest floor) and mineral soilare listed in Table 6.6. In computing the element composition of the forest components, only the organic fractions of the various elements were used. Table 6.6 also contains the carbon to element ratios, which are greatest in the vegetation and smallest in the soils.

Table 6.6 Element ratios (by weight) in the three major components of forest ecosystems. Values for vegetation are for woody tissue only. They were derived from a broad survey of the literature, with heavy reliance on Rodin and Bazilevish (1967)


Element Ratio
System
component C N S P C:N  C:So C:Po

Vegetation 1500 10 1 1 150 1500 1500
Litter 500 10 1 1 50 500 500
Soil 120 9

.4

1 1 13 120 120

These ratios are the heart of the element-matching analysis. For example, if one unit of nitrogen is added to a forest ecosystem and it is stored in the vegetation component which has a C:N ratio of 150:1, we would predict the storage of an additional 150 units of carbon in the vegetation component of the forest ecosystem.

Although element matching is a simple form of element interactions analysis, it can lead to significant insights (e.g., Redfield, 1958). With respect to the analysis that follows, the power of the element matching technique is in its implication of constraints on the increase in the ability of forest ecosystems to act as sites of carbon storage, as a consequence of inadvertant eutrophication.

6.4.3 Fossil Fuel Combustion and the Acceleration of the N, P, and S Cycles 

The activities of industrial man are accelerating the global cycles of nitrogen, sulphur, and phosphorus. Through the burning of fossil fuels, the industrial fixation of nitrogen, and the mining of phosphate, man is increasing the inputs of nitrogen, sulphur, and phosphorus to the land. Table 6.7 gives estimates of the amounts of C, N, S, and P introduced to the biosphere annually through man's activities. A major portion of the industrially fixed nitrogen and mined phosphorus is applied directly to agricultural fields. Very little N and P fertilizer is added directly to forests. Fossil fuel emissions of nitrogen, phosphorus and sulphur are dispersed much more widely over the biosphere, and some fraction of the fossil fuel N, S, and P finds its way into forest ecosystems.

Table 6.7 Element loading of the biosphere by industrial activity (in Tg) (modified from Peterson, 1981)

C N S P

Fossil fuel emissions 6000 24 65 1*
Industrial nitrogen fixation 50
Phosphate mining 10

*All values rounded to nearest whole number.,

The forests of the world cover a land area of approximately 57 x 1012 m2. If, each year, all of the fossil fuel N, S, and P were to be evenly distributed over the world's forests, the input rates would be 0.4 g N m-2 yr-1, 1.1 g S m-2,and0.02 g P m-2 yr-1.These values are very similar to the N, S, and P bulk precipitation input values reported for a variety of forests around the world (see Table 6.8).The mean annual bulk precipitation input values reported in Table 6.8 for N, S and P are 0.6 g m-2, 1.1 g m-2,and 0.02 g m-2 respectively. Certainly, fossil fuel burning is not the sole source of the N, S, and P found in bulk precipitation; moreover, fossil fuel N, S, and P are not uniformly distributed. For example, nitrogen input at the Solling beech forest (2.26 g N m-2 yr-1), which is in the heart of one of the industrial regions of West Germany, is approximately eleven times higher than nitrogen input at the H. J. Andrews Douglas fir forest (0.2 g N m-2 yr-1), which is in a rural, heavily forested region of the United States.

Table 6.8 Nutrient budgets for various terrestrial ecosystems of the world (g m-2 yr-1) (Modified from Likens et al.,1977)


NITROGEN
Location
Precipitation
Stream-water
Net gain or
Net gain
input output loss Input

Temperate: mostly angiosperm
and deciduous forest
Coshocton, OH, U.S.A.
2.00
0.25
+1.75
Hubbard Brook, U.S.A.
0.65
0.40
+0.25
S.E., U.S.A.
0.20
0.10
+0.10
Silverstream, New Zealand
0.22
0.18
 +0.04
Taughannock Creek, NY, U.S.A.
0.97
0.56
 +0.41
Walker Branch, TE, U.S.A.
0.87
0.18
 +0.69
Soiling, W. Germany
2.26
0.60
+1.66
Mean 0.55
Temperate: mostly coniferous
and evergreen forest
Birkenes Watershed, Norway
1.45
0.22
+1.23
Carnation Creek, Vancouver
Island, Canada
0.27
0.11
+0.16
Cedar River, WA, U.S.A.  0.11  0.06  +0.05
ELA, Ontario, Canada
0.64
 0.09
+0.55
Finland
0.60
 0.20
+0.40
Storsj6n, Sweden
1.00
 0.23
+0.77
Velen, Sweden
0.59
 0.04
+0.55
Western Cascades Range,
   OR, U.S.A.
0.25
 0.12
+0.13
H. J. Andrews
0.20
 0.17
+0.03
Coweeta
0.55
 0.02
+0.53
Mean 0.71
Tropical: angiosperm mostly
          0.16
evergreen forest
Rio Negro, Brazil
0.56
0.47
+0.09
Mean
0.63

PHOSPHORUS

Temperate: mostly angiosperm
and deciduous forest
Coshocton, OH, U.S.A.
0.018
 0.005
+0.013
Hubbard Brook, U.S.A.
0.0036
0.0019
+0.0017
Pago Catchment, Australia
0.033
 0.026
+0.007
Silverstream, New Zealand
0.020
 0.003
+0.017
Taughannock Creek, NY, U.S.A.
0.007
0.020
-0.013
Walker Branch, TE, U.S.A.
0.054
0.002
+0.052
Temperate: mostly coniferous
and evergreen forest
Blue Range Catchment, Australia
0.039
0.042
-0.003
Boundary Waters Canoe Area,
MN, U.S.A. (24)
0.014
0.0015
+0.013
Carnation Creek, Vancouver
Island, Canada
0.011
0.005
+0.006
Cedar River, WA, U.S.A.
0.002
Clear Lake, Ontario, Canada
0.035
0.009
+0.026
ELA, Ontario, Canada
0.032
0.005
+0.027
Finland
0.001
0.003
-0.002
Storsjön, Sweden
0.014
0.002
+0.012
Western Cascades Range,
OR, U.S.A.
0.029
0.051
-0.022
Tropical: angiosperm mostly
evergreen forest
Rio Negro, Brazil
0.020
0.010
+0.010
Mean
0.023

SULPHATE-SULPHUR

Temperate: mostly angiosperm
and deciduous forest
Hubbard Brook, U.S.A.
1.88
1.76
+0.12
S.E., U.S.A.
0.80
0.70
+0.10
Silverstream, New Zealand
0.70
1.30
-0.60
  Taughannock Creek, NY, U.S.A.
2.10
3.80
-1.70
Walker Branch, TE, U.S.A.
1.88
1.13
+0.75
Temperate: mostly coniferous
and evergreen forest
Birkenes Watershed, Norway
1.56
2.69
-1.13
Carnation Creek, Vancouver
Island, Canada
0.87
2.80
-1.93
ELA, Ontario, Canada
0.30
0.32
-0.02
Finland
0.14
0.47
-0.33
Storsjön, Sweden
1.15
2.53
-1.38
Velen, Sweden
1.03
0.94
+0.09
Mean
1.13

At present we lack a detailed understanding of what fraction of the bulk precipitation inputs of N, S, and P to various forests result from the burning of fossil fuels. For illustrative purposes, we will begin our element-matching analysis by assuming that 25% of the fossil fuel N, S, and P is evenly distributed over the world's forests. This assumption results in annual nutrient inputs of the following magnitudes to the world's forests: 6.00 Tg N, 16.25 Tg S and 0.25 Tg P.

6.4.4 Carbon-Nitrogen Interactions

Nitrogen is frequently a limiting factor for forest growth. The application of nitrogen fertilizers to forest stands often results in dramatic increases in carbon storage in forests (e.g., Miller et al., 1976). The amount of carbon stored per unit of nitrogen applied depends ultimately on how much of the nitrogen remains in the forest system and how the nitrogen is distributed among the forest's three components: vegetation, litter, and soil (section 6.3).

The maximum carbon storage in forests would occur if all added nitrogen remained in the system and if all of the added nitrogen were stored in the vegetation, since it has the largest carbon to nitrogen ratio of the three forest components. Under these conditions, addition of the 6 Tg N fixed each year through fossil fuel combustion would result in the storage of 900 Tg C in trees.

But not all of the nitrogen entering a forest in bulk precipitation will be retained; some of it will be leached from the system and some, generally a much smaller amount, will be lost through denitrification. To estimate the efficiency with which forests retain nitrogen entering them in bulk precipitation, let us turn again to Table 6.8. A word of caution is warranted at this point. The measurement of nitrogen entering a forest ecosystem is relatively straightforward. Measurements of gaseous losses of nitrogen are very few and difficult to interpret (Melillo et al., 1983) and measurements of solution losses of nitrogen from forests are difficult to make. Data on leaching losses are often scanty and derived from systems with poorly defined hydrology. Therefore, the efficiency calculations we derive must be considered as suggestive, not definitive.

Nitrogen retention efficiencies for forest systems considered in Table 6.8 were calculated by dividing the net gain of nitrogen by the input of nitrogen. The mean retention efficiency value for all forest systems described in Table 6.8 is about 60%. Using the 60% retention efficiency, we can recalculate the estimated carbon storage per unit nitrogen due to forest fertilization. We estimate a nitrogen-fertilizer induced carbon storage in the world's forests of 540 Tg C/yr given the following assumptions: 1) of the 6 Tg N entering the world's forests, 60% or 3.6 Tg N is retained; 2) all of the added nitrogen is stored in the vegetation; and 3) the storage of one unit of nitrogen results in the storage of 150 units of carbon.

When a forest is fertilized, the total amount of fertilizer retained is more than actually ends up in the vegetation. Some will end up in the litter (surface organic horizon), and some will end up in the soil (Mead and Pritchett, 1975a, b). We therefore needed a set of fractionation factors that will allow us to distribute the fertilizer among forest components. We chose to use the relative distribution of carbon within the system, reasoning that this distribution integrates a variety of plant and soil processes responsible for element distribution. We have not included the more subtle components of fractionation analysis discussed in section 6.3. Since the major forest types of the world have distinctly different carbon distributions, we considered it necessary to regionalize our analysis.

Table 6.9 gives mean values for the absolute and relative distributions of carbon in the world's four major woody vegetation types, and the total area of each type. These relative distributions are then used in conjunction with the carbon to nitrogen ratios of the three components and the nitrogen input per unit area to estimate carbon storage per unit nitrogen due to forest `fertilization'. Assuming that 6 Tg N is uniformly distributed across the world's forests with 60% retained in the forests in some organic form (an effective nitrogen fertilizer addition to the world's forests of 3.6 Tg N or 0.06 g N m-2) the net rate of carbon storage in the world's forests due to nitrogen fertilization is 320 Tg C.

It is clear that the inadvertent nitrogen enrichment of forests is patchy; that is, some systems receive high nitrogen inputs while others receive low inputs. In an attempt to improve our estimate of increased carbon storage resulting from inadvertent nitrogen fertilization, we weighted the nitrogen inputs to the world's four major forest types. We again used a nitrogen input to the world's forests of 6 Tg. Given that much of the fossil fuel use occurs in close proximity to temperate forests, they were allotted an annual input of 4 Tg N or 0.3 g N m-2. The annual nitrogen input for the boreal forest was set at 1 Tg or 0.08 g N m-2 and that for the tropical forest was set at 0.5 Tg N each year or 0.02 g N m-2. Like the tropical forest, the annual nitrogen input for the woodlands and shrublands was set at 0.5 Tg, resulting in an enrichment rate of 0.06 g N m-2 yr-1. And once again we used a 60% retention efficiency for all systems and the fractionation factors developed in Table 6.8 to allocate nitrogen and new carbon among the vegetation, litter, and soil of each of the four forest types. Based on these assumptions, the annual rate of fertilizer-induced carbon storage in the world's forests was about 310 Tg (Table 6.10).

In this analysis, the temperate forests accumulate the largest amount of carbon and the tropical forests accumulate the least amount of carbon as a consequence of inadvertant nitrogen fertilization. The rates of annual carbon increment are small relative to the standing stocks of carbon in forests. This is most obvious for tropical forests, where an annual carbon increment of 1.3 g m-2 represents a change in carbon stocks of about 0.0041% or 1 part in 24,000. Such a small change in a large store of carbon will be undetectable in field measurements for many decades.

Table 6.9 Absolute and relative distributions of carbon in the world's forests, and estimates of forest area


Woodland and
Forest components Tropics
Temperate
Boreal
shrubland
Absolute* 
Relative Absolute*
Relative
Absolute*
Relative
Absolute*
Relative

Vegetationa
20,969  0.665
16,042
0.552
10,000
0.372
6,000
0.455
Littera

147 

0.005
1,208
0.042
2.000
0.074
282
0.021
Soilb
10,400  0.330
11,800
0.406
14,500
0.554
6.900
0,523
Total
31,516  1.000
29,050
1.000
26,500
1.000
13,182
1.000
Forest Areat†

24.5   

12       

12    

8.5            


*g C m-2
†1012m2.
aWhittaker and Likens (1973).
bSchlesinger (1977).

Table 6.10 Potential carbon storage in the world's forests as a consequence of nitrogen loading from fossil fuel combustion (assuming all nitrogen entering forests is stored in organic form see text for details of calculations)


Ratio of

Carbon storage

Ecosystem

ecosystem

mean C

C density

C/region

C/m2

density

to annual
Component

(Tg C)

(g C m-2)

(g C m-2)

C storage

Tropics
Vegetation

29.9

1.2

Litter

0.1

Trace

Soil

1.3

0.1

Total

31.3

1.3

31,500

24,200
Temperate

Vegetation

198.7

16.6

Litter

0.5

Trace

Soil

12.6

1.1

Total

211.8

17.7

29,100

1,600
Boreal

Vegetation

33.5

2.8

Litter

2.2

0.2

Soil

4.3

0.4

Total

40.0

3.4

26,900

7,900
Woodland and Shrubland

Vegetation

20.5

2.4

Litter

0.3

Trace

Soil

2.0

0.2

Total

22.8

2.6

13,200

5,100
Grand Total

305.9


Annual net carbon accumulation per unit area is equivalent to the ecologist's net ecosystem production term. Several measurements of net ecosystem production (NEP) have been made in the temperate forest regions and they are given in Table 6.11. These values represent the total amount of net carbon storage in these ecosystems in a single year. The mean NEP for these four sites is 200 g C m-2 yr-1. If we assume that these forests have been subjected to nitrogen fertilization from the combustion of fossil fuels, we would have to argue that approximately 8.8% of the NEP was due to fertilization (17.7 g C m-2 divided by 200 g C m-2).

Table 6.11 Net ecosystem production estimates for four temperate zone forests


Site g C m-2 yr-1 Reference

Hubbard Brook 218 Whittaker et al. (1974)
Walker Branch 160 Reichle et al. (1973)
Brookhaven 270 Whittaker and Woodwell (1969)
H. J. Andrews 155 Grier and Logan (1977) 
 
Mean 200

Our analysis suggests that man can have an impact on the global carbon balance by changing the flows of other elements such as nitrogen. 'Fertilization' of forests with nitrogen from fossil fuel sources will at most result in the storage of about 300 Tg C in these systems annually. This amount of carbon storage, an upper estimate, is approximately 10% of the amount needed to balance the global carbon budget as we currently understand it.

6.4.5 Phosphorus and Sulphur Inputs and Carbon Storage

Phosphorus is the one major element that must be supplied almost entirely by the parent material of unfertilized soils because of the low atmospheric inputs. In tropical forests with highly weathered soils, phosphorus may be a limiting nutrient for plant growth. In northern forests, massive surface organic matter accumulations may isolate plants from unweathered mineral soils, thereby depriving them access to phosphorus. Carbon accumulation in plants and soils of both regions may be controlled by phosphorus availability.

Table 6.12 gives the regional summary of amounts of carbon storage, assuming that 0.25 Tg P is uniformly distributed across the world's forests and retained in the forests in organic form in proportion to mean carbon distribution by forest type. The net carbon storage in forests due to P fertilization is about 220 Tg C. There is probably relatively little chance that this potential will be realized, since most of the phosphorus that enters a forest will probably be bound chemically in soils as compounds of Al, Fe, and Ca.

Table 6.12 Potential carbon storage in the world's forests as a consequence of phosphorus loading from fossil fuel combustion (assumptions stated in the text)


Ratio of

Ecosystem

ecosystem

Carbonstorage

mean C

C density to

C/region

C/m2

density

annual C storage

Component

(Tg C)

(g C m-2)

(g C m-2)

mass


Tropics
Vegetation

107.2

4.3
Litter

0.3

Trace
Soil

4.3

0.2
Total

111.8

4.5

31,500

7,000

Temperate
Vegetation

43.6

3.6
Litter

1.1

0.1
Soil

2.6

0.2
Total

47.3

3.9

29,100

7,500

Boreal
Vegetation

29.4

2.4
Litter

1.9

0.2
Soil

3.5

0.3
Total

34.8

2.9

26,900

9,300

Woodland and Shrubland
Vegetation

25.5

3.0
Litter

0.4

Trace
Soil

2.3

0.3
Total

28.2

3.3

13,200

4,000

Grand Total
222

Sulphur has been identified as a limiting nutrient in only a few forest types. Thus while sulphur loading of the atmosphere is great (Table 6.7), there is little chance that it will stimulate forest growth on the global scale. And, in fact, this high sulphur loading may be limiting forests' ability to respond to either nitrogen or phosphorus fertilization due to the acid precipitation problem associated with sulphur loading of the atmosphere.

6.4.6 Summary

In this section we have considered the possibility that carbon storage in forest ecosystems is stimulated by the increased inputs of N, S, and P that result from the combustion of fossil fuels. Our most extensive analysis related elevated N inputs with increased carbon storage in forests. From this analysis we have concluded that the maximum amount of additional carbon storage that could be promoted by this form of N fertilization is about 300 Tg C per year. As we currently understand the global carbon budget, the fate of 3000 Tg C that fluxes into the atmosphere each year cannot be accounted for. If 300 Tg C per year were stored in the world's forests as a result of inadvertent N fertilization, the amount of carbon unaccounted for would be reduced by 10%.

Finally, we must stress that the inadvertent nitrogen fertilization of the world's forests may not promote an annual increment of carbon storage as large as 300 Tg/yr for a variety of reasons, several of which are listed below:

  1. Other limiting factorsOur analysis has not fully considered the possibility that water availability and the availability of nutrients such as phosphorus may limit the effectiveness of N fertilization.
  2. Toxic substancesThe N fertilization of forests that is caused by fossil fuel combustion is accompanied by hydrogen ion loading (i.e. acid precipitation) and heavy metals input. These factors may reduce the ability of forest ecosystems to respond to N fertilization.

While the inadvertent N fertilization of the world's forests will probably not promote a carbon storage as large as 300 Tg per year, an N-fertilization effect may be of sufficient magnitude to be important in the global carbon budget. Further analysis of this problem is necessary.

6.5 PHOSPHORUS'THE MASTER ELEMENT' 

As soils develop through geological time, there is an extended period during the early and middle stages of pedogenesis when carbon accumulates. In this section of the paper, we discuss how phosphorus availability in developing soils is thought to control this carbon accumulation. We also explore, in a very preliminary way, how important this mechanism of carbon accumulation is in the context of the global carbon budget.

6.5.1 Phosphorus Availability and Carbon, Nitrogen and Sulphur Accumulation in Soils

A. C. Redfield (1958), in his classic paper `The biological control of chemical factors in the environment', hypothesized that in ocean systems, phosphorus is the master-element. Redfield argued that through its influence on the oceanic carbon, nitrogen and sulphur cycles, phosphorus controls the quantity of nitrate in the sea, and the partial pressure of oxygen in the atmosphere.

T. W. Walker and his co-workers have hypothesized that in terrestrial systems, phosphorus is also the master element, regulating the accumulation of carbon, nitrogen and organic sulphur in soils (Walker, 1964; Williams and Walker, 1969a; Syers et al., 1970; Walker and Syers, 1976). They have shown that the total amount and chemical forms of phosphorus in an ecosystem change predictably during soil development (Figure 6.9). The total amount of phosphorus declines with time as leaching losses exceed inputs. In their scheme the soil's total phosphorus pool is divided into four components: (1) easily weathered (primary) minerals such as apatite, Ca-P; (2) available P or non-occluded P; (3) difficult-to-weather (secondary) minerals or occluded P; and (4) organically bound P. At the initiation of soil development, phosphorus is present in weatherable minerals. In the early and middle stages of soil development, phosphorus is present in all four forms, with available P making up a sizeable fraction of the total phosphorus pool. Late in soil development phosphorus is present mainly as difficult-to-weather mineral forms or as organically bound phosphorus.

Figure 6.9 Changes in total phosphorus and phosphorus fractions during soil development. Non-occluded P is basically plant-available P. Occluded P is highly recalcitrant secondary mineral P and inaccessible primary mineral P. Modified from Walker and Syers (1976) 

Phosphorus exerts control over nitrogen accumulation by influencing nitrogen fixation. An ample supply of phosphorus and a scarcity of nitrogen are necessary for high rates of nitrogen fixation (Griffith, 1978). In the very early stages of soil formation on parent material devoid of nitrogen, nitrogen fixation is an important process. With high phosphorus availability and increasing nitrogen availability, plant production increases and organic matter begins to accumulate in the soil. In the middle stages of soil formation, losses of P are equalled by P input from weathering, the N:P ratio increases and non-N-fixers compete successfully for the N and P being mineralized from soil organic matter. The amounts of available N and P are in the optimum range for maximum plant production and organic matter continues to accumulate in the soil. Late in soil development, soil organic matter begins to decline. This occurs when apatite has disappeared or fallen to such a low value that the rate of release of P by dissolution of apatite is less than the loss of P from the system either by leaching or conversion to unavailable forms or both (Williams and Walker, 1969b, Syers et al., 1970). Further development of the ecosystem in climates where leaching occurs causes additional loss of P and leads to declining levels of unavailable inorganic P and organically bound P as well as organically bound C, N, and S (Walker and Syers, 1976).

6.5.2 Pedogenesis and The Global Carbon Cycle

Given the control exerted on C, N, and S soil stocks by P on a geological time scale, the question arises as to the mean position of the world's soils on the Walker curve. Is the mean pedogenic position of the world's soils in an early enough stage of development to be accumulating carbon even though external P inputs are insignificant? And if soil C accumulation is regulated by the rate of supply of available P through weathering, what is the magnitude of the resulting C storage on an annual basis? Is the C storage rate large enough to be significant in short term global carbon balance considerations?

Let us address these questions by attempting to establish the order of magnitude of carbon accumulation that could possibly result annually if the world's soils were considered to be in the middle stages of pedogenesis; that is, if phosphorus were not limiting the rate of C accumulation. One such estimate can be derived from Syers et al. (1970). They studied changes in C and organic stocks of N, S, and P along a 10,000 yr chronosequence of soils developed on windblown sands in New Zealand. During the middle stages of pedogenesis (years 3,00010,000) they calculated a mean carbon accumulation of 1.4 g C m-2 yr-1. If the 57 x 1012 m2 of the world's forests were accumulating C at this rate, a total of 79 Tg C would be accumulating each year. This amount of carbon storage in soils is small in the context of the overall global carbon budget. A storage of 79 Tg C per year in the soils of the world's forests identifies the fate of only about 2 percent of the 3000 Tg C that is unaccounted for in the global carbon budget as we currently understand it. 

6.5.3 Concluding Statement

We consider this section of the paper important not for the specific questions it has raised, but rather because of the general class of questions it has raised. Is it possible that the terrestrial biosphere is on a carbon accumulation trend that is independent of the activities of man? If yes, what are the mechanisms and the magnitude of the accumulation? Do element interactions play an important role in controlling the rate of the accumulation? These are questions we must address to make complete an analysis of the role of terrestrial biosphere in the global carbon cycle.

6.6 REFERENCES

Adams, S. N., Jack, W., H., and Dickson, D. A. (1970) The growth of Sitka spruce on poorly drained sites in northern Ireland, Forestry, 43, 125-133.

Adams, J. A. S., Mantovani, M. S. M., and Lundell, L. L. (1977) Wood versus fossil fuel as a source of excess carbon dioxide in.the atmosphere: A preliminary report, Science, 196, 54-56.

Allison, F. E. (1973) Soil Organic Matter and Its Role in Crop Production, New York, Elsevier Scientific.

Bacastow, R., and Keeling, C. D. (1981) Atmospheric carbon dioxide concentration and the observed airborne fraction, in Bolin, B. (ed.) Carbon Cycle Modelling, SCOPE Report No. 16, New York, Wiley, 103-112.

Bal, D. V. (1922) Studies on the decomposition of some common green manuring plants at different stages of growth in the black cotton soil of Central Provinces, Agron, J. India, 17, 133-155.

Barnes, R. L., and Bengtson, G. W. (1968) Some aspects of nitrogen nutrition and metabolism in relation to fertilizer responses in southern pines, in Forest Fertilization, Theory and Practice, Tennessee Valley Authority, National Fertilizer Development Center, Muscle Shoals, Alabama, 58-63.

Bolin, B. (1977) Changes of land biota and their importance for the carbon cycle, Science, 196, 613-615.

Brix, H. (1971) Effects of nitrogen fertilization on photosynthesis and respiration of Douglas-fir, For. Sci., 17, 407-414.

Brix, H., and Ebell, L. F. (1969) Effects of nitrogen fertilization on growth, leaf area, and photosynthesis rate in Douglas-fir, For. Sci., 15, 189-196.

Brix, H., and Mitchell, A. K. (1980) Effects of thinning and nitrogen fertilization on xylem development in Douglas-fir, Can. J. For. Res., 10,121-128.

Broecker, W. S., Takahashi, T., Simpson, H. J., and Peng, T.-H. (1979) Fate of fossil fuel carbon dioxide and the global carbon budget, Science, 206, 409-418.

Chapin, F. S. III (1980) The mineral nutrition of wild plants, Ann. Rev. Ecol. Syst., 11, 233-260.

Cole, D. W., and Rapp, M. (1980) Element cycling in forest ecosystems, in D. E. Reichle (ed.) Dynamics Properties of Forest Ecosystems, International Biological Programme 23, Cambridge, Cambridge University Press, 341-408.

Cowling, E. B., and Merrill, W. (1966) Nitrogen in wood and its role in wood deterioration, Can. J. Bot., 44, 1539-1554.

Cromack, K. Jr. (1973) Litter production and litter decomposition in a mixed hardwood watershed and in a white pine watershed at Coweeta Hydrologic Station, North Carolina. Ph.D. thesis, University of Georgia, Athens, Georgia. 180 pages.

Cromack, K., and Monk, D. (1975) Litter production, decomposition, and nutrient cycling in a mixed hardwood watershed and a white pine watershed, in Howell, F. G., Gentry, J. B., and Smith, M. H. (eds) Mineral Cycling in Southeastern Ecosystems, U. S. Energy Research and Development Admin. Symposium Series, CONF-740513. Washington, D.C., ERDA, 609-624.

Daubenmire, R., and Prusso, D. C. (1963) Studies on the decomposition rates of tree litter, Ecology, 44, 589-592.

Davies, R. I., Coulson, C. B., and Lewis, D. A. (1964a) Polyphenols in plant, humus, and soil. III. Stabilization of gelatin by polyphenol tanning, J. Soil Sci., 15, 299-309. 

Davies, R. I., Coulson, C. B., and Lewis, D. A. (1964b) Polyphenols inplant, humus, and soil. IV. Factors leading to increase in synthesis of polyphenol in leaves and their relationship to mull and mor formation, J. Soil Sci., 15, 310-318.

Deevey, E. S. (1970) Mineral cycles, Sci. American, 223, 148-158.

DeHaan, S. (1977). Humus, its formation, its relation with the mineral part of the soil, and its significance for soil productivity, in Soil Organic Matter Studies I, Vienna, International Atomic Energy Agency, 21-30.

Dijkshoorn, W., and Van Wijk, A. L. (1967) The sulphur requirements of plants as evidence by the sulphur-nitrogen ratio in organic matter. A review of published data, Plant Soil, 26, 129-157.

Edwards, N. T., and Harris, W. F. (1977) Carbon cycling in a mixed deciduous forest floor, Ecology, 58, 431-437.

Epstein, E. (1972) Mineral Nutrition of Plants: Principles and Perspectives, New York, Wiley.

Florence, R. G. (1965) Decline of old-growth redwood forests in relation to some soil microbiological processes, Ecology, 46, 52-64.

Fogel, R., and Cromack, K. Jr (1977) Effects of habitat and substrate quality on Douglas fir litter decomposition in western Oregon, Can. J. Bot., 55, 1632-1640.

Fogg, G. E. (1975) Biochemical pathways in unicellular plants, in Cooper, J. P. (ed.) Photosynthesis and Productivity in Different Environments, Cambridge, Cambridge University Press, 437-458.

Gloaguen, J. C., and Touffet, J. (1976) Production de litiere et apport au sol d'elements minerauk dans quelques peuplements resineaux de BRetagne, Ann. Sci. For. (Paris), 33, 87-107.

Gnanam, A., Habib Mohamed, A., and Seetha, R. (1980) Comparative studies on the effect of ammonia and blue light on the regulation of photosynthetic carbon metabolism in higher plants, in Senger, H. (ed.) The Blue Light Syndrome, New York, Springer-Verlag, 435-443.

Gosz, J. R. (1981) Nitrogen cycling in coniferous ecosystems, in Clark, F. E., and Rosswall, T. (eds) Terrestrial Nitrogen Cycles, Ecol. Bull. (Stockholm), 33, 405-426.

Gosz, J. R., Likens, G. E., and Bormann, F. H. (1976) Organic matter and nutrient dynamics of the forest and forest floor in the Hubbard Brook Forest, Oecologia, 22, 305-320.

Grier, C. C., and Logan, R. S. (1977) Old-growth Pseudotsuga menziesii communities of a western Oregon watershed: Biomass distribution and production budgets, Ecol. Monogr., 47, 373-400.

Grier, C. C., Vogt, K. A., Keyes, M. R., and Edmonds, R. L. (1980) Biomass distribution and above- and below-ground production in young and mature Abies amabilis zone ecosystems of the Washington Cascades, Can J. For. Res., 10, 118-130.

Griffith, W. F. (1978) Effects of phosphorus and potassium on nitrogen fixation, in Phosphorus for Agriculture: A Situation Analysis, Potash/Phosphate Institute, 80-94.

Hampicke, U. (1979) Net transfer of carbon between the land biota and the atmosphere induced by man, in Bolin, B., Degens, E. J., Kempe, S., and Ketner, P., (eds) The Global Carbon Cycle, SCOPE Report No. 13, New York, Wiley, 219-236.

Heilman, P. E. (1966) Change in distribution and availability of nitrogen with forest succession on north slopes in interior Alaska, Ecology, 49, 331-339.

Heilman, P. E., and Gessel, S. P. (1963) Nitrogen requirements and the biological cycling of nitrogen in Douglas fir in relationship to the effects of nitrogen fertilization, Plant Soil, 18, 386-402.

Hill, H. H. (1926) Decomposition of organic matter in soil, J. Agr. Res., 333, 77-99. 

Houghton, R. A., Hobbie, J. E., Melillo, J. M., Moore, B., Peterson, B. J., Shaver, G. R., and Woodwell, G. M. (1983) Changes in the carbon content of terrestrial biota and soils between 1860 and 1980: A net release of CO2 to the atmosphere, Ecol. Monogr. (in press).

Jarvis, P. G. (1975) Water transfer in plants, in de Vries, D. A., and van Alfen, N. K. (eds) Heat and Mass Transfer in the Environment of Vegetation. Washington, D.C., Scripta Book Co., 369-394.

Keeling, C. D. (1973) Industrial production of carbon dioxide from fossil fuels and limestone, Tellus, 25, 174-198.

Keller, T. (1967) The influence of fertiliation on gaseous exchange of forest tree species, in Proceedings of the Colloquium on Forest Fertilization, Jyväskylä/Finland, 65-79.

Keller, T. (1970) Gaseous exchangea good indicator of nutritional status and fertilizer response of forest trees, Proceedings of the 6th International Colloquium on Plant Analysis and Fertilizer Problems (ISHS), Tel Aviv, Israel, 669-678.

Keller, T. (1971) Der Einfluss der Stickstoffernährung auf den Gaswechsel der Fichte, Allg. Forst Jagdztg., 142, 89-93.

Keyes, M. R., and Grier, C. C. (1981) Above- and below-ground net production in 40-year-old Douglas-fir stands on high and low productivity sites, Can. J. For. Res., 11, 599-605.

Kira, T. (1975) Primary production of forests, in Cooper, J. P. (ed.) Photosynthesis and Productivity in Different Environments. Cambridge, Cambridge University Press, 5-40.

Kozlowski, T. T. (1971) Growth and Development of Trees, Vol. I, Seed Germination, Ontogeny, and Shoot Growth, New York, Academic Press.

Kramer, P. J. (1981) Carbon dioxide concentration, photosynthesis, and dry matter production, BioScience, 31, 29-33.

Kramer, P. J., and Kozlowski, T. T. (1979) Physiology of Woody Plants, New York, Academic Press.

Lamb, D. (1971) Litter decomposition and nutrient release in Pinus radiata plantations. Ph.D. thesis, Australian National University, Canberra, Australia, v + 213 pages. 

Lamb, D. (1975) Patterns of nitrogen mineralization in the forest floor of stands of Pinus radiata on different soils, J. Ecol., 63, 615-625.

Lamb, D. (1976) Decomposition of organic matter on the forest floor of Pinus radiata plantations. J. Soil Sci., 27, 206-217.

Lambers, H., Posthumus, F., Stulen, I., Lanting, L., van de Dijk, S. J., and Hofstra, R. (1981) Energy metabolism of Plantago lanceolata as dependent on the supply of mineral nutrients, Physiol. Plant., 51, 85-92.

Likens, G. E., Bormann, F. H., Pierce, R. S., Eaton, J. S., and Johnson, N. M. (1977) Biogeochemistry of a Forested Ecosystem, New York, Springer-Verlag.

Lockett, J. L. (1937) Microbial aspects of decomposition of clover and rye plants at different growth stages, Soil Sci., 44, 425-435.

Loveless, A. R. (1962) Further evidence to support a nutritional interpretation of sclerophylly, Ann Bot., 26, 551-561.

Mead, D. J., and Pritchett, W. L. (1975a) Fertilizer movement in a slash pine ecosystem. I. Uptake of N and P and N movement in the soil, Plant Soil, 43, 451-465.

Mead, D. J., and Pritchett, W. L. (1975b) Fertilizer movement in a slash pine ecosystem. II. N distribution after two growing seasons, Plant Soil, 43, 467-478.

Melillo, J. M., Aber, J. D., and Muratore, J. F. (1982) Nitrogen and lignin control of hardwood leaf litter decomposition dynamics, Ecology, 63, 621-626.

Melillo, J. M., Aber, J. D., Steudler, P. A., and Schimel, J. (1983) Denitrification potentials in a successional sequence of northern hardwood forest stands, in Hallberg, R. (ed.) Environment Biogeochemistry, Ecol. Bull. (Stockholm), 35.

Melin, E. (1930) Biological decomposition of some types of litter from North American forests, Ecology, 11, 72-101.

Miller, H. G. (1969) Nitrogen nutrition on the sands of Culbin Forest, Morayshire, J. Sci. Food Agric., 20, 417-419.

Miller, H. G., and Miller, J. D. (1976) Effect of nitrogen supply on net primary production in Corsican pine, J. Appl. Ecol., 13, 249-256.

Miller, H. G., Miller, J. D., and Pauline, O. L. (1976) Effect of nitrogen supply on nutrient uptake in Corsican Pine, J. Appl. Ecol., 13, 955-966.

Miller, J. G., Cooper, J. M., Miller, J. D., and Pauline, O. J. L. (1979) Nutrient cycles in pine and their adaptation to poor soils, Can. J. For. Res., 9,19-26.

Monnier, G., and Jeanson, C. (1964) Studies on the stability of soil structure: influence of moulds and soil fauna, in Hallsworth, H. G. and Crawford, D. V. (eds) Experimental Pedology, London, Butterworths, 244-254.

Moore, B., Boone, R. D., Hobbie, J. E., Houghton, R. A., Melillo, J. M., Peterson, B. J., Shaver, G. R., Vörösmarty, C. J., and Woodwell, G. M. (1981) A simple model for analysis of the role of terrestrial ecosystems in the global carbon budget, in Bolin, B. (ed.) Carbon Cycle Modelling, SCOPE Report No. 16, New York, Wiley, 365-386.

Natr, L. (1972) Influence of mineral nutrients on photosynthesis of higher plants, Photosynthetica, 6, 80-99.

Natr, L. (1975) Influence of mineral nutrition on photosynthesis and the use of assimilates, in Cooper, J. P. (ed.) Photosynthesis and Productivity in Different Environments, Cambridge, Cambridge University Press, 537-556.

Neish, A. C. (1964) Major pathways of biosynthesis of phenols, in Harbourne, J. D. (ed.) Biochemistry of the Phenolic Compounds, London, Academic Press, 293-359. 

Peterson, B. J. (1981) Perspectives on the importance of the oceanic particulate flux in the global carbon cycle, Ocean Sci. Engn., 6, 71-108.

Raper, C. D. Jr., and Peedin, G. F. (1978) Photosyntfietic rate during steady-state growth as influenced by carbon-dioxide concentration, Bot. Gaz., 139, 147-149.

Redfield, A. C. (1958) The biological control of chemical factors in the environment, Am. Sci., 46, 205-221.

Reichle, D. E., Dinger, B. E., Edwards, N. T., Harris, W. F., and Sollins, P. (1973) Carbon flow and storage in a forest ecosystem, in Woodwell, G. M., and Pecan, E. V. (ed.) Carbon in the Biosphere. AEC Symposium Series No. 30. Springfield, Virginia, National Technical Information Service, 345-365.

Rodin, L. E., and Bazilevish, N.I. (1967) Production and Mineral Cycling in Terrestrial Vegetation, Edinburgh and London, Oliver and Boyd.

Rotty, R. (1981) Distribution and changes in industrial carbon dioxide production, in Papers presented at the WMO/ICSU/UNEP Scientific Conference on Analysis and Interpretation of Atmospheric CO2 Data, World Climate Programme 14, Geneva, Switzerland.

Safford, L. O. (1974) Effect of fertilization on biomass and nutrient content of fine roots in a beechbirchmaple stand, Plant Soil, 40, 349-363.

Satchell, J. E., and Lowe, D. G. (1966) Selection of leaf litter by Lumbricus terrestris, in Graff, G., and Satchell, J. E. (eds) Progress in Soil Biology, Amsterdam, North Holland, 180-196.

Schlesinger, W. H. (1977) Carbon balance in terrestrial detritus, Ann. Rev. Ecol. Syst., 8, 51-81.

Simpson, H. J. et al. (1977) Man and the global nitrogen cycle group report, in Stumm, W. (ed.) Global Chemical Cycles and their Alterations by Man, Berlin, Dahlem Konferenzen, 253-274.

Siren, G. (1955) The development of spruce forest on raw humus sites in northern Finland and its ecology, Acta For. Fenn., 62, 1-405.

Solomos, T. (1977) Cyanide resistant respiration in higher plants, Ann. Rev. Plant Physiol., 28, 279-297.

Stachurski, A., and Zimka, J. R. (1975) Methods of studying forest ecosystems: Leaf area, leaf production and withdrawal of nutrients from leaves of trees, Ekol. Pol., 23, 637-316.

Syers, J. K., Adams, J. A., and Walker, T. W. (1970) Accumulation of organic matter in a chronosequence of soils developed on wind-blown sand in New Zealand, J. Soil Sci., 21, 146-153.

Tamm, C. O. (1979) Nutrient cycling and productivity of forest ecosystems, in Leaf, A. L. (ed.) Impact of Intensive Harvesting on Foresting Nutrient Cycling, State University of New York, College of Environmental Science and Forestry, Syracuse, 2-21.

Thomas, J. D., and Hill, G. R. (1949) Photosynthesis under field conditions, in Franck, J., and Loomis, W. E. (eds) Photosynthesis in Plants, Ames, Iowa, Iowa State College Press, 19-52.

Turner, J. (1977) Effects of nitrogen availability on nitrogen cycling in a Douglas-fir stand, For. Sci., 23, 307-316.

Turner, J., Johnson, D. W., and Labert, M. (1980) Sulphur cycling in a Douglas-fir forest and its modification by nitrogen applications, Acta Oecol., 1, 27-35.

Vitousek, P. (1982) Nutrient cycling and nutrient use efficiency. Am. Nat., 119, 553-572.

Vitousek, P., Gosz, J. R., Grier, C. C., Melillo, J. M., and Reiners, W. A. (1982) A comparative analysis of nitrification and nitrate mobility in forest ecosystems, Ecol. Monogr., 52, 155-177.

Waksman, S. A., and Gerretsen, F. C. (1931) Influences of temperature and moisture upon the nature and extent of decomposition of plant residues by micro-organisms, Ecology, 12, 33-60.

Waksman, S. A., and Tenney, F. G. (1927) The composition of natural organic materials and their decomposition in soil. II. Influence of age of plant upon the rapidity and nature of its decomposition-rye plants, Soil Sci., 24, 317-334.

Waksman, S. A., and Tenney, F. G. (1928) Composition of natural organic materials and their decomposition in the soil. III. The influence of nature of plant upon the rapidity of its decomposition, Soil Sci., 26, 155-171.

Walker, T. W. (1964) The significance of phosphorus in pedogenesis, in Hallsworth, E. G., and Crawford, D. V. (eds) Experimental Pedology, Butterworths, London, 295-315.

Walker, T. W., and Syers, J. K. (1976) The fate of phosphorus during pedogenesis, Geoderma, 15, 1-19.

Wareing, P. F., and Patrick, J. (1975) Sourcesink relations and the partitioning of assimilates in the plant, in Cooper, J. P. (ed.) Photosynthesis and Productivity in Different Environments, Cambridge, Cambridge University Press, 481-500.

Watt, R. F., and Heinselman, M. L. (1965) Foliar nitrogen and phosphorus level related to site quality in a northern Minnesota spruce bog, Ecology, 46, 357-361.

Weetman, G. F. (1962) Nitrogen relations in a black spruce (Picea mariana mill.) stand subject to various fertilizer and soil treatments, Pulp and Paper Res. Inst. Can., Woodl. Res. Index 129.

Whittaker, R. H., and Likens, G. E. (1973) Carbon in the biota, in Woodwell, G. M., and Pecan, E. V. (eds) Carbon and the Biosphere, AEC Symposium Series No. 30, Springfield, Virginia, National Technical Information Service, 281-302.

Whittaker, R. H., and Woodwell, G. M. (1969) Structure, production, and diversity of the oak-pine forest at Brookhaven, New York, J. Ecol., 57, 155-174.

Whittaker, R. H., Bormann, F. H., Likens, G. E., and Siccama, T. G. (1974) The Hubbard Brook ecosystem study: Forest biomass and production, Ecol. Monogr., 44, 233-252.

Williams, J. D. H., and Walker, T. W. (1969a) Fractionation of phosphate in a maturity sequence of New Zealand basaltic soil profiles. II, Soil Sci., 107, 213-219. 

Williams, J. D. H., and Walker, T. W. (1969b) Fractionation of phosphate in a maturity sequence of New Zealand basaltic soil profiles. I, Soil Sci., 107, 22-30.

Witkamp, M. (1966) Decomposition of leaf litter in relation to environment, microflora and microbial respiration, Ecology, 47, 194-201.

Wong, C. S. (1978) Atmospheric input of carbon dioxide from burning wood, Science, 200, 197-200.

Woodwell, G. M., Whittaker, R. H., Reiners, W. A., Likens, G. E., Delwiche, C. C., and Botkin, D. B. (1978) The biota and the world carbon budget, Science, 199, 141-146.

Yen, C. P., Pham, C. H., Cox, G. S., and Garrett, H. E. (1978) Soil depth and root development patterns of Missouri black walnut and certain Taiwan hardwoods, in Eerdenand, E. V., and Kinghorn, J. M. (eds) Root Form of Planted Trees, Can. For. Serv. Joint Report No. 8, British Columbia Ministry of Forests, 18 pages.

Zimka, J. R., and Stachurski, A. (1976) Regulation of C and N transfer to the soil of forest ecosystems and the rate of litter decomposition, Bull. Acad. Pol. Sci., 24, 127-132.

Back to Table of Contents

The electronic version of this publication has been prepared at
the M S Swaminathan Research Foundation, Chennai, India