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Crown carbon gain and elevated [CO2] responses of understorey saplings with differing allometry and architecture
Article first published online: 20 DEC 2001
Volume 15, Issue 2, pages 263–273, April 2001
How to Cite
E., N., D. S., E. and R. W., P. (2001), Crown carbon gain and elevated [CO2] responses of understorey saplings with differing allometry and architecture. Functional Ecology, 15: 263–273. doi: 10.1046/j.1365-2435.2001.00518.x
- Issue published online: 20 DEC 2001
- Article first published online: 20 DEC 2001
- Acer rubrum;
- daily photosynthesis model;
- Liriodendron tulipifera;
- shade tolerance;
1. Attempts at determining the physiological basis of species’ differences, such as the ability to grow in deep shade, have been of limited success. However, this basis is fundamental to predicting species’ responses to rising atmospheric CO2 in the forest understorey. We linked a leaf photosynthesis and a tree architecture model to predict the effects of dynamic and steady state photosynthetic characteristics, crown architecture and elevated atmospheric CO2 concentration ([CO2]) on crown-level carbon gain (Acrown). Twenty-four-h Acrown was modelled for shade-tolerant Acer rubrum and shade-intolerant Liriodendron tulipifera saplings growing for three years in a forest understorey under ambient and elevated [CO2] in free-air CO2 enrichment.
2. Two factors best explained Acrown in ambient [CO2]: tree light environment and sapling allometry. Microsite light environment influenced carbon gain via daily photosynthetic photon flux (PFD), average diffuse PFD and sunfleck characteristics. Species differences in specific leaf area (SLA) and size-related biomass allocation to leaves affected the effective leaf area and hence Acrown.
3. At a common above-ground biomass, small saplings (100 g above-ground dry mass) of L. tulipifera had higher Acrown than A. rubrum samples due to larger SLA and greater biomass allocation to leaves. Larger saplings of the two species had similar Acrown due to greater carbon allocation to leaves with increasing plant size in A. rubrum vs L. tulipifera. For saplings > 800 g, Acrown was greater in A. rubrum than in L. tulipifera. Enhancement of Acrown by elevated [CO2] on sunny days was similar for both species.
4. Overall, though the shade-tolerant species had lower Acrown than the shade-intolerant species at a common small size, our results indicate that the relative performance of these species can reverse at larger sizes due to allocational differences. These results suggest that elevated [CO2] may accelerate competition for light between A. rubrum and L. tulipifera as these species grow larger in the understorey.
Observations of differential survival rates by tree seedlings and saplings in forest understoreys are well known and are widely applied in forest management. The physiological basis for growth and survival in deep shade ultimately lies in superior whole-plant carbon balance (Walters, Kruger & Reich 1993a; Thompson, Huang & Kriedemann 1992; Givnish 1988). Aside from disease and infrequent catastrophic events, poor growth and survival ultimately results from the inability to assimilate enough carbon to meet long-term respiratory demands and costs of tissue turnover (Givnish 1988; Walters & Reich 1999). Since growth and carbon gain in the forest understorey are light-limited, numerous studies have examined the effect of shade on photosynthetic traits in tree seedlings of different tolerance (reviewed in Walters & Reich 1999). However, steady-state measurements of photosynthesis do not always demonstrate that shade-tolerant species are better adapted to shaded environments by having photosynthetic traits that enhance leaf-level photosynthesis in low light (e.g. Naumburg & Ellsworth 2000; Teskey & Shrestha 1985; Kitajima 1994; Barker, Press & Brown 1997; Walters & Reich 1999). Therefore, physiological interpretations of differential biomass accumulation of competing understorey species cannot rely solely on leaf-level photosynthetic mechanisms to explain whole-plant growth dynamics. This is not surprising, since steady-state photosynthetic rates themselves vary greatly in time and space, and are also only one component of whole-plant carbon balance (Givnish 1988; Körner 1991; Walters, Kruger & Reich 1993b).
The current rise in atmospheric [CO2] has potentially large impacts on plant carbon balance and growth (Norby et al. 1999; Saxe, Ellsworth & Heath 1998), so knowledge of whole-plant carbon balance in elevated [CO2] is critical for understanding future patterns of growth and survival for competing understorey species. Evidence that elevated [CO2] stimulates photosynthesis more in shade-tolerant species (e.g. Kubiske & Pregitzer 1996; Hättenschwiler & Körner 2000; Kerstiens 1998) raises questions of whether rising [CO2] will alter patterns in forest succession (Bazzaz et al. 1996; Körner 1996). Therefore, the effects of elevated [CO2] on the leaf physiological and whole-plant components of carbon balance of juvenile trees need to be considered to predict growth and survival in a future higher [CO2] atmosphere.
Plant carbon balance is the outcome of interactions between environmental factors like light and atmospheric [CO2], and plant traits that affect photosynthetic photon flux density (PFD) interception by leaves, photosynthetic yield, carbon loss to respiration, tissue turnover and other factors. Under shade conditions, components of light capture such as carbon allocation to leaf area and leaf display can be the most important determinants of species differences in seedling carbon gain and growth because of similar and low photosynthetic rates in ambient [CO2] (Sims, Gebauer & Pearcy 1994; Veneklaas & Poorter 1998; Walters & Reich 1999; Poorter 1999). Moreover, few studies have combined aspects of plant form such as carbon allocation and architecture with leaf photosynthesis to assess carbon balance in shade (Walters et al. 1993a; Pearcy & Yang 1998; Walters & Reich 1999).
Most carbon balance modelling approaches employ a highly simplified scheme that incorporates a photosynthetic light response curve in conjunction with PFD data and respiration rates, scaling these rates according to plant allocation to the major plant organs (Walters et al. 1993a; Sims et al. 1994; Walters & Reich 1999). While appropriate for architecturally simple, very small tree seedlings, this approach ignores the geometric display of leaves in multiple angles and planes, which affects their ability to efficiently intercept light (Ackerly & Bazzaz 1995; Pearcy & Yang 1998). Moreover, photosynthetic responses to natural fluctuating light are often limited by shade-deactivated enzymes and partially closed stomata, thus leading to lower than expected daily photosynthesis (Pearcy et al. 1994). These factors are often not considered in assessing the spatial and temporal variability of photosynthesis in the understorey. However, these factors can lead to growth differences among species in the same environment (Wayne & Bazzaz 1993; Watling, Ball & Woodrow 1997).
We modelled crown assimilation and respiration for understorey saplings of two temperate tree species (Acer rubrum L. and Liriodendron tulipifera L.) at ambient and ambient + 20 Pa [CO2]. We linked a dynamic photosynthesis model (Pearcy, Gross & He 1997; Naumburg, Ellsworth & Katul 2001) with a spatially explicit plant architectural model (Pearcy & Yang 1996) that calculated the light environment of individual leaves of plants (Fig. 1). These models allowed us to include architectural effects as well as dynamic photosynthetic responses to PFD to test whether saplings of the two species differ in their Acrown over a 24-h period. This study assesses crown carbon balance in ambient and elevated [CO2] as the major component underlying whole-plant growth. A comprehensive treatment of this subject has rarely been undertaken for understorey trees with contrasting architecture and shade tolerance.
Materials and methods
Study site and species
The study was conducted at the FACTS-1 site in Duke Forest, North Carolina, USA, which is equipped with six free-air CO2 enrichment (FACE) rings (described in Hendrey et al. 1999). The site is located in a loblolly pine (Pinus taeda L.) plantation, established in 1983. Understorey vegetation has not been managed since establishment, so hardwood species are abundant in the subcanopy and understorey. Since August 1996, three circular plots 15 m in diameter have been operating at ambient atmospheric [CO2] + 20 Pa by FACE (Hendrey et al. 1999) and three at ambient [CO2]. At the height of the saplings in the centre of the plot, mean daytime [CO2] during the 1999 growing season was 56·2 ± 1·8 Pa (mean ± 1 SD) for n = 3 elevated CO2 rings and ~38 Pa in the ambient rings (Hendrey et al. unpublished data, see also Hendrey et al. 1999).
The two study species differ in shade tolerance, leaf size and crown architecture (Wallace & Dunn 1980). Acer rubrum is shade tolerant (Baker 1949; Abrams 1998), while L. tulipifera is among the least shade-tolerant species in south-eastern USA (Baker 1949; Busing & White 1997). At the study site, saplings of the two species have shown similar photosynthetic capacity per leaf area under light saturation at ambient [CO2], while under elevated [CO2], A. rubrum showed a greater photosynthetic enhancement than L. tulipifera (Naumburg & Ellsworth 2000). Furthermore, dynamic photosynthetic and stomatal responses to changes in PFD by L. tulipifera reduced limitations to sunfleck photosynthesis to a greater extent than the responses of A. rubrum (Naumburg et al. 2001).
Architectural measurements and model
Branch architectural data for a spatially explicit tree architectural model (Y-PLANT; Pearcy & Yang 1996) were collected from two saplings per species and [CO2] treatment ring to yield a three-dimensional computer representation of the branches (Fig. 2). The measurements to parameterize the model are described in Pearcy & Yang (1996) and involve simple dimensional and angular measurements for all foliar and wood elements. For L. tulipifera, only one sapling was available in two of the elevated CO2 rings. For these two plants, data were collected separately on two different branches that were oriented in different directions from the main stem. In addition, the same information was collected for one entire sapling per species and [CO2] treatment to examine differences between branch-level and whole-plant modelled results.
Estimating plant-level pfd
To characterize the local light environments of these branches, a hemispherical photograph (8 mm Nikkor fisheye lens, Nikon Inc., Melville, NY, USA) was taken directly above each branch when the sky was overcast and the overstorey canopy in full leaf. The photographs were analysed with HemiView 2·0 (Delta-T Devices Ltd, Cambridge UK) to yield a gap fraction in each of 160 solar track sectors (8 azimuths × 20 sun angles) and a 1 min time series of direct PFD data. Sky diffusivity was set to 0·15, which yielded a maximum mid-day PFD of around 2000 mmol m−2 s−1, similar to measurements at the study site under clear sky.
Daily courses of PFD for each leaf were generated by Y-PLANT using the spatial arrangement of leaves and the modelled light environment above the branches from hemispherical photographs. While the analysis of hemispherical photographs does not reproduce all features of true understorey PFD, the frequency and duration of sunflecks are generally well predicted (Chazdon & Field 1987; Valladares & Pearcy 1998). Y-PLANT was run at a 1 min time step between sunrise and sunset for a 14·4 h day (day length equivalent to 1 July) to gain high-resolution data for the dynamic photosynthesis model. This PFD output was further integrated over the leaves per branch and the entire day to yield a measure of the daily PFD (per m2 leaf area) intercepted by the measurement branches.
The dynamic photosynthetic model of Pearcy et al. (1997) has been previously described and tested for the study species at the site (Naumburg et al. 2001). The model incorporates the Farquhar & von Caemmerer (1982) photosynthesis model, modified to include metabolite pools and time constants reproducing the light-induced activation and deactivation of key photosynthetic enzymes (Pearcy et al. 1997). Dynamic stomatal responses to changes in PFD are modelled based on processes in the guard cells such as the influx and efflux of osmotica and water. Thus, the model takes into consideration sunfleck-induced changes in the biochemistry of photosynthesis and stomatal aperture that affect photosynthesis in variable light conditions. For our purposes, we did not consider additional environmental limitations such as temperature or inadequate soil moisture.
Daily photosynthesis (Aday, mmol m−2 s−1) for the measurement branches was estimated by the photosynthesis model using the 1 min PFD data from Y-PLANT. The model calculated photosynthesis for both the diffuse and direct PFD when sunflecks were present, and then multiplied the diffuse and direct PFD photosynthetic rates by the appropriate leaf areas. Since Y-PLANT averages PFD over the fraction of the leaf that is either in shade or in sunflecks, using the dynamic photosynthesis model with this version of Y-PLANT ignores sunflecks that traverse specific leaves. For example, in reality leaf A is exposed to a sunfleck say 2 min earlier than leaf B, but both leaves go through the same induction response (albeit at differing times). In our modelling approach, this induction response occurs at the same time. Since the temporal spacing of the sunflecks is not affected by this simplification, the introduced error should be negligible.
Scaling to the whole-plant level
Whole-crown photosynthesis was estimated using branch Aday and site-specific allometric relationships from above-ground harvests of the study species (Fig. 1). We assumed that branch Aday was representative of all branches within the crown. Because destructive harvests are not possible in the treatment rings, biomass relationships were determined only for ambient [CO2] plants growing in the same forest tract. Seven saplings of each species were separated into the main stem and branches. A subset of leaf blades for each branch was measured with a leaf area meter (CI-4200; CID Inc., Vancouver, WA, USA) and then dried and weighed separately to determine their specific leaf area (SLA). For each branch, the stem and remaining leaves were dried separately at 70 °C and weighed. These data were used to calculate sapling allometric relationships (see Fig. 5a–d). To determine allometric relationships of the study branches, we used both data obtained from the treatment rings (SLA) and the biomass harvests. Branch woody dry mass was regressed against a proxy of branch volume: (branch basal diameter [cm])2 * (branch length [cm]) for harvested saplings to get an estimate of the measurement branch biomass. We considered SLA specific to the species and [CO2] treatments for the crown-level calculations because decreases in SLA are frequently observed in elevated CO2 studies (Wolfe et al. 1998; Saxe et al. 1998; Curtis & Wang 1998). Statistically significant CO2 effects on whole-plant biomass allocation have not been found in long-term experiments to date (e.g. Rey & Jarvis 1997; Tissue, Thomas & Strain 1997; Centritto, Lee & Jarvis 1999), so we assumed here that allometry for ambient-grown plants could be used for elevated CO2-grown plants. Thus, Acrown was scaled from the modelled branch Aday by multiplying by the crown leaf area, which was estimated from biomass relationships gained from harvests and measured SLA (see Fig. 5e,f).
To estimate Acrown over 24 h, leaf dark respiration rates for the species were measured in June 1999 using a CIRAS-1 gas exchange system (PP-Systems, Hitchin, UK). Measurements were taken at 37 or 57 Pa CO2 in ambient and elevated [CO2] rings, respectively, and at 27·5 °C (the approximate air temperature during the measurement period). Using night-time temperature data collected at the study site at the height of the saplings and a Q10 of 2·1 appropriate for tree species (Ryan et al. 1995), night-time respiration rates were estimated for the 9·6 h night on 1 July.
For statistical analyses that compared treatment means, the data from the two plants/branches per treatment ring and species were averaged, resulting in a sample size of n = 3. These variables were analysed by anova. Variables that did not meet the assumptions of normality and homogeneity of variance were log-transformed, while ratio variables were arcsine-transformed. To test whether the species had different biomass and leaf biomass vs stem diameter relationships, we used an analysis of covariance that included index variables to test for species effects on regression slopes and intercepts. Because both Aday and Acrown were related to the intercepted PFD, both were analysed as regressions that included index variables for species and [CO2]. For these regressions, we used stepwise forward multiple regression with an entry α of 0·05. Data from the same treatment ring were considered independent in these analyses because understorey PFD was highly variable among locations within each treatment ring (data not shown, but see Fig. 6 for range of PFD data). All analyses were conducted in SAS version 6·12 for Windows (SAS Institute, Cary, NC, USA).
Daily PFD intercepted by the study branches as modelled in Y-PLANT ranged between 2·4 and 13·8 mol m−2 for 1 July. These understorey PFD are equivalent to 4–23% of the above-canopy PFD (60 mol m−2 d−1) predicted by Y-PLANT. In elevated [CO2], L. tulipifera apparently intercepted less PFD than in ambient [CO2], although this was because of the shadier microsites in which the plants were growing (Fig. 3).
Branch allometry and architecture
As expected, the two species differed in aspects of crown architecture. In addition to phyllotaxy (opposite vs whorled arrangement of leaves), A. rubrum leaves were a third as large as L. tulipifera leaves (Fig. 2, Table 1). Liriodendron tulipifera leaves were also displayed at a steeper angle than A. rubrum leaves (F1,8 = 20·5, P < 0·01). This led to a comparatively greater projection efficiency, Ep (sensuPearcy & Yang 1996), in L. tulipifera than in A. rubrum at low sun angles (data not shown), but significantly smaller Ep at high sun angles (F1,8 = 19·0, P < 0·01, Table 1). Ep is determined for each sun angle by calculating the branch leaf area that is displayed perpendicular to the direct light incident angle relative to a horizontal surface of the same total area. However, the display efficiency parameter, Ed, which takes leaf overlap into account, showed no significant differences between species or [CO2] treatments (P > 0·2, Table 1). Also, no significant differences (P > 0·10) between species or [CO2] treatments existed for Ep–Ed, an indicator of leaf overlap. The leaf overlap indicated by Ep–Ed was generally small for both species in the understorey. The efficiency with which leaves absorbed PFD during sunflecks or shade, Ea, did not differ significantly (P > 0·2) either for the species or [CO2] treatments, although this parameter was slightly larger for A. rubrum at elevated [CO2]. Patterns similar to those for the branches were observed for the entire plant crowns (Table 1), although as expected, leaf overlap tended to be somewhat greater for whole trees than single branches. Overall, Ea and Ed for the saplings were 10–15% greater than for branches.
|Ambient A. rubrum||Elevated A. rubrum||Ambient L. tulipifera||Elevated L. tulipifera|
|Branches (n = 3)|
|Leaf mass : branch mass (m2 kg−1)||0·70 (0·02)a||0·68 (0·02)a||0·67 (0·02)a||0·61 (0·02)b|
|Leaf size (cm2)||41·3 (3·8)a||37·8 (2·4)a||120·6 (8·4)b||104·2 (9·8)b|
|Leaf angle||16·4 (1·1)a||15·4 (2·1)a||21·3 (1·9)b||25·6 (1·5)b|
|Ea sunflecks (%)||74·1 (4·4)a||81·2 (4·3)a||72·0 (1·9)a||75·4 (5·7)a|
|Ea shade (%)||72·6 (4·3)a||79·1 (2·0)a||73·9 (2·6)a||74·8 (2·4)a|
|Ep at 90° solar zenith (%)||94·5 (0·3)a||95·7 (0·9)a||91·9 (1·9)b||87·9 (0·9)c|
|Ed at 90° solar zenith (%)||84·6 (5·1)a||91·4 (2·7)a||87·1 (3·0)a||84·5 (1·4)a|
|Ep–Ed (%)||9·8 (5·4)a||4·2 (3·1)a||4·9 (1·6)a||3·4 (1·5)a|
|Whole trees (n = 1)|
|Ea sunflecks (%)||66·5||76·4||64·8||59·2|
|Ea shade (%)||56·8||75·7||60·8||61·1|
|Ep at 90° solar zenith (%)||89·7||97·0||91·5||85·7|
|Ed at 90° solar zenith (%)||65·7||88·2||70·1||70·2|
Branch-level leaf mass ratio (leaf mass to total mass of branch, BMR) differed significantly between the two species (F1,8 = 11·2, P = 0·01, Table 1), with L. tulipifera having smaller BMR than A. rubrum. There were also marginally significant differences in this parameter between [CO2] treatments (F1,8 = 4·8, P = 0·06, Table 1). However, this effect was confounded by L. tulipifera saplings growing in shadier microsites in elevated [CO2] (Fig. 3). Leaf area ratio (leaf area to branch + leaf mass, LAR) differed significantly for both species and [CO2] treatments (F1,8 = 63·8 and F1,8 = 13·8, respectively, P < 0·01, Fig. 4). Liriodendron tulipifera had larger LAR than A. rubrum, and elevated [CO2] plants had smaller LAR than ambient plants for both species. For A. rubrum, this lower allocation to leaf area under elevated [CO2] was due to a 20% SLA (Fig. 4) that was not statistically significant (P > 0·1). Liriodendron tulipifera, however, had the same SLA under ambient and elevated [CO2], but its leaf biomass allocation was less under elevated [CO2], thus causing the smaller leaf area ratio. This difference could be due either to light conditions or to [CO2] treatment (see above).
Multiplying LAR by the PFD absorption efficiency (Ea) yields LARe, the ratio of leaf area to branch mass that is corrected for leaf overlap, leaf angles and leaf absorptances that reduce PFD absorption. During both sunflecks and diffuse shade periods, LARe values were significantly larger (F1,8 = 40·0 and F1,8 = 52·2, respectively, P < 0·01) in L. tulipifera than in A. rubrum, mostly due to the large differences in LAR itself (Fig. 4). However, differences in LARe for both sunfleck and diffuse PFD between elevated and ambient CO2 plants were marginally significant (0·03 < P < 0·06). This was due to the slightly larger Ea in elevated [CO2] plants, which compensated for the reduced LAR under elevated [CO2].
Overall, despite differences in leaf size and leaf display (Fig. 2, Table 1), A. rubrum and L. tulipifera differed surprisingly little in their light interception in the forest understorey. This was due, in part, to both species minimizing leaf overlap via petiole twisting (Fig. 2). The greatest difference between the two species was due to the larger SLA in L. tulipifera than in A. rubrum. Furthermore, the only [CO2] effect on allometry and architecture occurred in A. rubrum and was caused by a slight reduction in SLA under elevated [CO2].
Branch-level photosynthesis and respiration were scaled to entire saplings using the allometric relationships derived from the biomass harvests outside the treatment rings. Regressions between log stem diameter and log plant biomass revealed no significant differences in either the slopes or intercepts of the regression lines for the two species (F1,10 = 1·1, P = 0·33 and F1,10 = 2·6, P = 0·14 for the intercept and slope, respectively; Fig. 5a). However, the allometric regressions for leaf blade biomass vs stem diameter or total above-ground biomass differed significantly (Fig. 5a,b). Liriodendron tulipifera had a significantly higher intercept and lower slope than A. rubrum for both regressions (biomass intercept, F1,10 = 6·6, P = 0·03; biomass slope, F1,10 = 8·0, P = 0·02; diameter intercept, F1,10 = 5·8, P = 0·04; diameter slope, F1,10 = 7·9, P = 0·02). Thus, A. rubrum showed a steeper increase in leaf blade biomass with sapling size than L. tulipifera. Consequently, above-ground leaf: total biomass ratio (LMR) calculated for several size classes based on these regressions increased for A. rubrum but decreased for L. tulipifera (Fig. 5c,d).
Based on the allometry (Fig. 5a,b) and SLA (Fig. 4), L. tulipifera maintained greater leaf area than A. rubrum for < 20 mm diameter or 900 g biomass size classes (Fig. 5e,f). Moreover, the small reduction in SLA in elevated [CO2] relative to ambient-grown A. rubrum saplings resulted in less sapling leaf area at all stem sizes (Fig. 5c). This analysis necessarily assumes that LMR does not differ between ambient and elevated [CO2] plants, since only ambient [CO2] plants were harvested.
Daily photosynthesis and respiration of branches
Branch photosynthesis was modelled using daily PFD courses output by Y-PLANT for 1 July. Expressing this daily photosynthesis per m2 leaf area allowed species and CO2 treatment comparisons that were independent of branch leaf area. Both A. rubrum and L. tulipifera showed the same relationship between the daily PFD intercepted and Aday at ambient [CO2] (Fig. 6a). The two regression lines were not significantly different (P > 0·2). Comparison of the elevated [CO2] results of the species, however, was not valid because the PFD range for both species was smaller than for ambient [CO2] branches and did not show a long overlap (see Fig. 6a). To be able to compare the species at elevated [CO2], we modelled branch photosynthesis using hemispherical photos switched between A. rubrum and L. tulipifera plants in the same treatment ring. PFD interception efficiencies, on average, did not differ between those determined with the appropriate photos (Table 1) and the switched photos (data not shown). These additional points extended the range of daily PFD for both elevated [CO2]A. rubrum and L. tulipifera (Fig. 6c) without artificially inflating R2 of the individual regressions (Table 2). Statistical analyses including these additional data points showed the same increases in Aday with daily PFD for A. rubrum and L. tulipifera. Elevated CO2 regressions differed significantly from those at ambient CO2 by having a lower slope (F1,44 = 28·9, P < 0·001, Fig. 6a). This difference was largely due to the direct enhancement of photosynthesis by [CO2]. No significant species differences existed for either CO2 treatment (P > 0·2).
|Original data set (n = 6; Fig. 6a)|
|Ambient A. rubrum||− 42·1||107·6||0·94|
|Elevated A. rubrum||− 134·8||262·6||0·86|
|Ambient L. tulipifera||− 22·7||94·4||0·80|
|Elevated L. tulipifera||− 13·4||85·1||0·82|
|Expanded data set (n = 12; Fig. 6b)|
|Ambient A. rubrum||− 34·8||107·3||0·80|
|Elevated A. rubrum||− 59·8||172·7||0·85|
|Ambient L. tulipifera||− 28·3||96·9||0·84|
|Elevated L. tulipifera||− 30·4||122·0||0·82|
Night-time respiration rates estimated from gas-exchange measurements and measured night-time temperatures were similar for both ambient and elevated [CO2] and the two study species (P > 0·2, Fig. 6b). Thus, branch-level integrated carbon gain over 24 h closely resembled patterns shown for daily photosynthesis (data not shown).
Crown carbon gain
We used estimated crown leaf areas (Fig. 5f) to scale the branch-level daily photosynthesis and respiration to entire crowns using the 12 branch-level photosynthesis estimates per species and [CO2] treatment. For small saplings (100 g biomass), ambient [CO2]L. tulipifera gained more carbon than ambient or elevated A. rubrum with increasing PFD (Fig. 7a): the L. tulipifera regression had a significantly higher slope (F1,43 = 108, P < 0·001). This was mostly due to larger SLA (Fig. 4) and greater allocation to leaves in small L. tulipifera relative to A. rubrum (Fig. 5) rather than higher photosynthesis (Fig. 6). In addition, elevated [CO2]L. tulipifera had a significantly greater regression slope than ambient [CO2]L. tulipifera (F2,43 = 8·5, P < 0·001, Fig. 7a). In contrast, the elevated [CO2]A. rubrum regression did not significantly differ from the ambient [CO2]A. rubrum regression. This lack of statistically significant CO2 enhancement of Acrown predicted for A. rubrum was due to the smaller crown leaf area in elevated [CO2]A. rubrum caused by smaller SLA (Fig. 4). For L. tulipifera in elevated [CO2], no difference in SLA was observed and the branch-level photosynthetic enhancement was preserved at the crown level.
For larger saplings (800 g biomass), species trends observed for small saplings shifted. For both species, elevated [CO2] plants had a significantly larger regression slope than ambient plants (F1,44 = 19·7, P < 0·001, Fig. 7b). In addition, elevated [CO2]A. rubrum had a lower intercept than ambient [CO2]A. rubrum or L. tulipifera (F1,44 = 5·7, P = 0·02). Thus, for this size class, only small differences in Acrown existed between the species. When larger saplings were compared at a common diameter, however, A. rubrum gained more carbon than L. tulipifera under moderate light regimes (data not shown). This can be attributed to the relatively greater leaf area in A. rubrum (Fig. 5). While we expressed the relationships of carbon gain with daily PFD intercepted for two different size classes of stems (Fig. 7), these model predictions do not consider below-ground biomass or stem and root respiration rates.
The dynamics of understorey sapling growth and survival can determine the future composition of forests. For the size classes of saplings studied here, an inability to maintain competitive status with nearby saplings of other species will result in increased shading, reducing whole-tree carbon balance, which may ultimately trigger mortality. We modelled carbon balance of the entire crown co-occurring saplings of shade-tolerant A. rubrum and shade-intolerant L. tulipifera in ambient and elevated CO2 to understand how changes in atmospheric CO2 may affect whole-tree carbon assimilation as a major mechanism controlling growth dynamics of these understorey trees. Based on the size-dependent differences in allometry observed (Fig. 5), we predict that elevated [CO2] should accelerate competitive success of A. rubrum over L. tulipifera as saplings exceed a given size in the understorey.
Surprisingly, differences in 24 h sapling Acrown (Fig. 7) between A. rubrum and L. tulipifera were largely driven by differences in crown biomass allocation to leaf area rather than leaf physiology (see Naumburg et al. 2001). Species differences in carbon gain compared at the same above-ground biomass (Fig. 7) or diameter (not shown) were similar because of similar biomass to diameter allometry of the species (Fig. 5a). In contrast, species differences in area-based photosynthesis were relatively minor at the daily time scale (Fig. 6), and steady state photosynthesis measurements were also very similar (Naumburg & Ellsworth 2000). Recently, Walters & Reich (1999) found similar photosynthetic rates between shade-tolerant and shade-intolerant species when expressed on a leaf area basis (comparison of > 100 tree species), in accordance with our earlier results. Thus, understanding species differences in whole-plant carbon balance may depend on knowledge of crown architecture, carbon allocation to leaf area (Walters et al. 1993b; Walters & Reich 1999; Lambers & Poorter 1992) and ontogenetic drift in allocation (e.g. with changing plant size or age; Hunt & Lloyd 1987; Poorter & Pothman 1992; Küppers, Koch & Mooney 1988). This information is frequently lacking in contrast to photosynthetic light response data.
Recent analyses (Walters & Reich 1999; Veneklaas & Poorter 1998) have shown that shade-grown seedlings of shade-intolerant species differ from shade-tolerant species by allocating more biomass to leaves and having larger SLA. This strategy results in large leaf area : biomass ratios in these species, which maximizes whole-plant carbon gain and growth potential under optimal conditions (Lambers & Poorter 1992; Hunt & Cornelissen 1997). Similarly, in our study, small L. tulipifera saplings (diameter < 15 mm) allocated relatively more carbon to leaves, resulting in larger leaf areas than for A. rubrum saplings (Fig. 5e,f). Since species differences in daily photosynthesis were small, differences in leaf area directly translated into higher Acrown. Thus, in the absence of significantly greater stem and root respiration rates in L. tulipifera compared to A. rubrum, we would expect a more favourable carbon balance in small saplings of L. tulipifera.
This conclusion, however, did not hold for larger saplings. Due to species differences in ontogenetic drift in allometry (Fig. 5c,d), A. rubrum and L. tulipifera saplings had similar Acrown (Fig. 7b). One potential consequence of progressively smaller increases in carbon gain with size could be greater mortality for the shade-intolerant species. There is some evidence that seedlings/saplings of shade-intolerant species have fewer carbon reserves due to their apparent preferential allocation of carbohydrates to growth and lower carbon allocation to roots (Walters & Reich 1999; Veneklaas & Poorter 1998; Kobe 1997). Plant carbon balance theory (Mooney 1972; Givnish 1988) suggests that species unable to maintain a favourable carbon balance in competitive environments have an increased probability of mortality (Walters et al. 1993a; Kitajima 1994). However, even in the absence of greater mortality due to allocational differences between the species, we expect that a more positive carbon balance would result in greater growth. Therefore, over time, A. rubrum would outgrow and overtop L. tulipifera, which would be confined to progressively shadier environments than A. rubrum.
The predictions of differences in crown carbon balance between A. rubrum and L. tulipifera discussed above cannot necessarily be extended to whole-plant growth without consideration of differences in other factors such as herbivory, tissue turnover and whole-plant respiration. We have little direct information on these processes in this study, although L. tulipifera often drops older leaves in late summer due to ageing in combination with drought (Naumburg, unpublished data). Leaf loss during drought would directly reduce whole-plant carbon assimilation in L. tulipifera. Seedling root respiration and whole-plant respiration scale positively with the product of LMR and photosynthetic capacity per unit leaf mass (Walters & Reich 1999). Of the two species, L. tulipifera has larger SLA and thus higher mass-based photosynthesis in addition to larger LMR for small saplings. This relationship then implies that L. tulipifera should have higher whole-plant respiration rates than A. rubrum.
Microsite characteristics such as greater daily PFD obviously result in higher daily carbon gain at the leaf (Naumburg et al. 2001) and crown scale (Figs 6 & 7). Scatter around the regression lines in Figs 6 & 7 indicate that variability in the light environment not associated with daily PFD further influenced daily photosynthesis. Variation in the intensity and distribution of sunflecks (e.g. highly episodic vs evenly distributed in time) and average shade PFD affect rates of daily photosynthesis independently of daily PFD (Naumburg 2000). Previously, we had shown that in shady microsites, L. tulipifera leaves gain more carbon on average than A. rubrum (Naumburg et al. 2001). This was also the case here when the dynamic photosynthetic model was run on identical diurnal PFD courses (data not shown). However, due to the effects of the light environment, species differences in dynamic photosynthetic behaviour were obscured when photosynthetic estimates from different diurnal PFD courses were compared (Fig. 6). Hence, other light characteristics in addition to total PFD and other factors may contribute to the variability in growth and survival data.
Our modelling indicates that elevated [CO2]-grown plants of both species experienced similar enhancements of daily photosynthesis relative to ambient [CO2] plants (Figs 6,7). Therefore, we would expect that rising atmospheric [CO2] will enhance growth in both species similarly and accelerate the rate with which the saplings reach the size class where L. tulipifera would be at a carbon gain disadvantage relative to A. rubrum. This finding is in contrast to other studies, which suggest that in low PFD, shade-tolerant species tend to have greater biomass enhancements under elevated [CO2] than less tolerant species, natural light environments (Kerstiens 1998; Würth, Winter & Körner 1998; Hättenschwiler & Körner 2000) and our own finding of greater photosynthetic enhancement in shade-tolerant species at low daily PFD (Naumburg et al. 2001). Here, photosynthetic enhancements at low PFD were marginally greater at the branch level for A. rubrum (56%) than for L. tulipifera (33%). However, A. rubrum did not have greater enhancements in Acrown due to the slight reduction in SLA under elevated [CO2]. Thus, given the large impact of allocational patterns on Acrown, the effect of elevated [CO2] on crown carbon balance will not only depend on the direct effect on photosynthesis at the leaf level but also on whether carbon allocation to leaves decreases or not (Hättenschwiler & Körner 1996).
In this study, it was necessary to assume the same stem diameter to leaf biomass relationship for ambient and elevated [CO2] plants because allometric data for elevated [CO2] plants were not available. Thus, we only considered [CO2] effects in our analysis related to the observed 20% decrease in SLA for A. rubrum, and greater enhancement of photosynthesis at light saturation in A. rubrum vs L. tulipifera (Naumburg & Ellsworth 2000). Although L. tulipifera had lower carbon allocation to leaves under elevated [CO2], it was unclear whether that difference was due to [CO2] or its lower growth light environment. Furthermore, other studies have shown no clear [CO2] effect on biomass allocation patterns (reviewed in Wolfe et al. 1998; Curtis & Wang 1998) even after long-term CO2 exposure (Rey & Jarvis 1997; Tissue, Thomas & Strain 1997; Centritto, Lee & Jarvis 1999), while SLA often (but not always) declines under elevated CO2 (Wolfe et al. 1998; Saxe et al. 1998).
In conclusion, differences in carbon balance of contrasting species in a forest understorey with variable light environments are dependent not only on the specific photosynthetic characteristics of leaves (Naumburg et al. 2001), but also on allometric relationships that can vary with sapling age and size. Surprisingly, the differences in both dynamic and steady state photosynthesis per unit leaf area and architectural characteristics related to leaf display (e.g. leaf size, angle and leaf overlap) were small. Differences in crown leaf area between A. rubrum and L. tulipifera indicated a size class beyond which carbon gain in A. rubrum surpasses that of L. tulipifera saplings in the pine forest understorey, suggesting that competitive dynamics between these species will change for the larger stems – a process that is likely to be accelerated by increased atmospheric CO2. These findings suggest that physiological approaches utilizing crown architecture for estimating carbon gain can provide useful input to forest growth models, and may aid our understanding of trends for changing species dynamics in forest understoreys with future, higher atmospheric CO2.
This research is part of the Forest-Atmosphere Carbon Transfer and Storage (FACTS-1) project at Duke Forest, and was funded under US Department of Energy contract DE-AC02–98CH10886 to Brookhaven National Laboratory. The FACTS-1 project is supported by DOE-OBER under contracts to Duke University and Brookhaven National Laboratory. We are grateful to G. Katul for help in coding the dynamic model, and to M. Walters and two anonymous reviewers for suggestions that improved the manuscript considerably.
- 1998) The maple paradox. Bioscience 48, 355–364. (
- 1995) Seedling crown orientation and interception of diffuse radiation in tropical forest gaps. Ecology 76, 1134–1146. & (
- 1949) A revised tolerance table. Journal of Forestry 47, 179–181. (
- 1997) Photosynthetic characteristics of dipterocarp seedlings in three tropical rainforest light environments: a basis for niche partitioning. Oecologia 112, 453–463.DOI: 10.1007/s004420050332 , , (
- 1996) Elevated CO2 and terrestrial vegetation: implications for and beyond the global carbon budget. Global Change and Terrestrial Ecosystems (eds B.Walker & W.Steffen), pp. 43–76. Cambridge University Press, Cambridge. , , , (
- 1997) Species diversity and small-scale disturbance in an old-growth temperate forest: a consideration of gap partitioning concepts. Oikos 78, 562–568. & (
- 1999) Increased growth in elevated [CO2]: an early, short-term response? Global Change Biology 5, 623–633.DOI: 10.1046/j.1365-2486.1999.00263.x , , (
- 1987) Photographic estimation of photosynthetically active radiation: evaluation of a computerized technique. Oecologia 73, 525–532. & (
- 1998) A meta-analysis of elevated CO2 effects on woody plant biomass, form, and physiology. Oecologia 113, 299–313.DOI: 10.1007/s004420050381 & (
- 1982) Modelling of photosynthetic response to environmental conditions. Physiological Plant Ecology II. Water Relations and Carbon Assimilation (eds O.L.Lange, P.S.Nobel, C.B.Osmond & H.Ziegler), pp. 549–587. Springer-Verlag, Berlin. & (
- 1988) Adaptation to sun and shade: a whole-plant perspective. Australian Journal of Plant Physiology 15, 63–92. (
- 1996) System-level adjustments to elevated CO2 in model spruce ecosystems. Global Change Biology 2, 377–387. & (
- 2000) Tree seedling responses to in situ CO2-enrichment differ among species and depend on understorey light availability. Global Change Biology 6, 213–226.DOI: 10.1046/j.1365-2486.2000.00301.x & (
- 1999) A free-air enrichment system for exposing tall forest vegetation to elevated atmospheric CO2. Global Change Biology 5, 293–309.DOI: 10.1046/j.1365-2486.1999.00228.x , , , (
- 1997) Components of relative growth rate and their interrelations in 59 temperate plant species. New Phytologist 135, 395–417.DOI: 10.1046/j.1469-8137.1997.00671.x & (
- 1987) Growth and partitioning. New Phytologist 106 (Suppl.), 235–249. & (
- 1998) Shade-tolerance as a predictor of responses to elevated CO2 in trees. Physiologia Plantarum 102, 472–480. (
- 1994) Relative importance of photosynthetic traits and allocation patterns as correlates of seedling shade tolerance of 13 tropical trees. Oecologia 98, 419–428. (
- 1997) Carbohydrate allocation to storage as a basis of interspecific variation in sapling survivorship and growth. Oikos 80, 226–233. (
- 1991) Some often overlooked plant characteristics as determinants of plant growth: a reconsideration. Functional Ecology 5, 162–173. (
- 1996) The response of complex multispecies systems to elevated CO2. Global Change and Terrestrial Ecosystems (eds B.Walker & W.Steffen), pp. 20–42. Cambridge University Press, Cambridge. (
- 1996) Effects of elevated CO2 and light availability on the photosynthetic light response of trees of contrasting shade tolerance. Tree Physiology 16, 351–358. & (
- 1988) Compensating effects to growth changes in dry matter allocation in response to variation in photosynthetic characteristics induced by photoperiod. Australian Journal of Plant Physiology 15, 287–298. , , (
- 1992) Inherent variation in growth rate between higher plants: a search for physiological causes and ecological consequences. Advances in Ecological Research 23, 187–261. & (
- 1972) The carbon balance of plants. Annual Review of Ecology and Systematics 3, 315–346. (
- 2000) Photosynthetic sunfleck utilization potential of understory saplings growing under elevated CO2. Oecologia 122, 163–174. & (
- 2000) Canopy architecture, photosynthetic dynamics and the importance of sunflecks for understory sapling performance in ambient and elevated CO2. PhD Thesis, Duke University, Durham, NC. (
- 2001) Modeling dynamic understory photosynthesis of contrasting species in ambient and elevated CO2. Oecologia in press. , , (
- 1999) Tree responses to rising CO2 in filed experiments: implications for the future forest. Plant, Cell and Environment 22, 683–714.DOI: 10.1046/j.1365-3040.1999.00391.x , , , , (
- 1994) Photosynthetic utilization of sunflecks: a temporally patchy resource on a time scale of seconds to minutes. Exploitation of Environmental Heterogeneity by Plants (eds M.M.Caldwell & R.W.Pearcy), pp. 175–208. Academic Press, San Diego. , , , (
- 1997) An improved dynamic model of photosynthesis for estimation of carbon gain in sunfleck light regimes. Plant, Cell and Environment 20, 411–424. , , (
- 1996) A three-dimensional shoot architecture model for assessment of light capture and carbon gain by understory plants. Oecologia 108, 1–12. & (
- 1998) The functional morphology of light capture and carbon gain in the redwood forest understorey plant Adenocaulon bicolor Hook. Functional Ecology 12, 543–552.DOI: 10.1046/j.1365-2435.1998.00234.x & (
- 1999) Growth responses of fifteen rain forest tree species to a light gradient; the relative importance of morphological and physiological traits. Functional Ecology 13, 396–410.DOI: 10.1046/j.1365-2435.1999.00332.x (
- 1992) Growth and carbon economy of a fast-growing and slow-growing grass species as dependent on ontogeny. New Phytologist 120, 153–166. & (
- 1997) Growth response of young birch trees (Betula pendula Roth.) after four and a half years of CO2 exposure. Annals of Botany 80, 809–816.DOI: 10.1006/anbo.1997.0526 & (
- 1995) Woody tissue maintenance respiration of four conifers in contrasting climates. Oecologia 101, 133–140. , , , , , , (
- 1998) Tree and forest functioning in an enriched CO2 atmosphere. New Phytologist 139, 395–436. , , (
- 1994) Scaling sun and shade photosynthetic acclimation of Alocasia macrorrhiza to whole-plant performance – II. Simulation of carbon balance and growth at different photon flux densities. Plant, Cell and Environment 17, 889–900. , , (
- 1985) A relationship between carbon dioxide, photosynthetic efficiency and shade tolerance. Physiologia Plantarum 63, 126–132. & (
- 1992) Photosynthetic response to light and nutrients in sun-tolerant and shade-tolerant rain-forest trees: II. Leaf gas-exchange and component processes of photosynthesis. Australian Journal of Plant Physiology 19, 19–42. , , (
- 1997) Atmospheric CO2 enrichment increases growth and photosynthesis of Pinus taeda: a 4 year experiment in the field. Plant, Cell and Environment 20, 1123–1134. , , (
- 1998) The functional ecology of shoot architecture in sun and shade plants of Heteromeles arbutifolia M. Roem., a Californian chaparral shrub. Oecologia 114, 1–10.DOI: 10.1007/s004420050413 & (
- 1998) Growth and carbon partitioning of tropical tree seedlings in contrasting light environments. Inherent Variation in Plant Growth: Physiological Mechanisms and Ecological Consequences (eds H.Lambers, L.Poorter & M.M.I.Van Vuuren), pp. 337–362. Backhuys Publishers, Leiden, The Netherlands. & (
- 1980) Comparative photosynthesis of three gap phase successional tree species. Oecologia 45, 331–340. & (
- 1993a) Growth, biomass distribution and CO2 exchange of northern hardwood seedlings in high and low light: relationships with successional status and shade tolerance. Oecologia 94, 7–16. , , (
- 1993b) Relative growth rate in relation to physiological and morphological traits for northern hardwood tree seedlings: species, light environment and ontogenetic considerations. Oecologia 96, 219–231. , , (
- 1999) Low-light carbon balance and shade tolerance in the seedlings of woody plants: do winter deciduous and broad-leaved evergreen species differ? New Phytologist 143, 143–154. & (
- 1997) The utilization of lightflecks for growth in four Australian rain-forest species. Functional Ecology 11, 231–239. , , (
- 1993) Birch seedling responses to daily time courses of light in experimental forest gaps and shadehouses. Ecology 74, 1500–1515. & (
- 1998) Integration of photosynthetic acclimation to CO2 at the whole-plant level. Global Change Biology 4, 879–893. , , , (
- 1998) In situ responses to elevated CO2 in tropical forest understorey plants. Functional Ecology 12, 886–895.DOI: 10.1046/j.1365-2435.1998.00278.x , , (
Received 6 July 2000; accepted 4 December 2000