Document Detail

Smaller, faster stomata: scaling of stomatal size, rate of response, and stomatal conductance.
Jump to Full Text
MedLine Citation:
PMID:  23264516     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Maximum and minimum stomatal conductance, as well as stomatal size and rate of response, are known to vary widely across plant species, but the functional relationship between these static and dynamic stomatal properties is unknown. The objective of this study was to test three hypotheses: (i) operating stomatal conductance under standard conditions (g (op)) correlates with minimum stomatal conductance prior to morning light [g (min(dawn))]; (ii) stomatal size (S) is negatively correlated with g (op) and the maximum rate of stomatal opening in response to light, (dg/dt)(max); and (iii) g (op) correlates negatively with instantaneous water-use efficiency (WUE) despite positive correlations with maximum rate of carboxylation (Vc (max)) and light-saturated rate of electron transport (J (max)). Using five closely related species of the genus Banksia, the above variables were measured, and it was found that all three hypotheses were supported by the results. Overall, this indicates that leaves built for higher rates of gas exchange have smaller stomata and faster dynamic characteristics. With the aid of a stomatal control model, it is demonstrated that higher g (op) can potentially expose plants to larger tissue water potential gradients, and that faster stomatal response times can help offset this risk.
Authors:
Paul L Drake; Ray H Froend; Peter J Franks
Related Documents :
19323276 - Action spectra of chlorophyll a biosynthesis in cyanobacteria: dark-operative protochlo...
413576 - Changes in photosynthetic activity in the cyanobacterium chlorogloea fritschii followin...
16348246 - Spectral irradiance and distribution of pigments in a highly layered marine microbial mat.
24698786 - Do photoperiod and endocrine disruptor 4-tert-octylphenol effect on spermatozoa of bank...
11971286 - Development of higher fungi under weightlessness.
14738356 - Somatosensory event-related potentials (erps) associated with stopping ongoing movement.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-12-21
Journal Detail:
Title:  Journal of experimental botany     Volume:  64     ISSN:  1460-2431     ISO Abbreviation:  J. Exp. Bot.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-01-11     Completed Date:  2013-06-13     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  9882906     Medline TA:  J Exp Bot     Country:  England    
Other Details:
Languages:  eng     Pagination:  495-505     Citation Subset:  IM    
Affiliation:
Natural Resources Branch, Department of Environment and Conservation, Locked Bag 104, Bentley Delivery Centre, WA 6983, Australia.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Carbon Dioxide / metabolism
Electron Transport
Electrophysiological Processes
Kinetics
Light
Plant Stomata / chemistry*,  metabolism,  radiation effects
Proteaceae / chemistry*,  metabolism,  radiation effects
Water / metabolism
Chemical
Reg. No./Substance:
124-38-9/Carbon Dioxide; 7732-18-5/Water
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): J Exp Bot
Journal ID (iso-abbrev): J. Exp. Bot
Journal ID (hwp): jexbot
Journal ID (publisher-id): jexbot
ISSN: 0022-0957
ISSN: 1460-2431
Publisher: Oxford University Press, UK
Article Information
Download PDF
© 2013 The Author(s).
open-access:
Print publication date: Month: 1 Year: 2013
Electronic publication date: Day: 31 Month: 1 Year: 2013
pmc-release publication date: Day: 31 Month: 1 Year: 2013
Volume: 64 Issue: 2
First Page: 495 Last Page: 505
PubMed Id: 23264516
ID: 3542046
DOI: 10.1093/jxb/ers347

Smaller, faster stomata: scaling of stomatal size, rate of response, and stomatal conductance
Paul L. Drake1
Ray H. Froend2
Peter J. Franks3*
1Natural Resources Branch, Department of Environment and Conservation, Locked Bag 104, Bentley Delivery Centre, WA 6983, Australia
2School of Natural Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia6027
3Faculty of Agriculture and Environment, University of Sydney, Sydney, NSW 2006
Correspondence: * To whom correspondence should be addressed. E-mail: peter.franks@sydney.edu.au

Introduction

Plants regulate stomatal conductance to optimize carbon uptake with respect to water loss (Cowan, 1977; Farquhar et al., 1980a). An important limitation in this process is the rate at which stomata open in the light or close under darkness or water deficit (Cowan, 1977; Hetherington and Woodward, 2003; Franks and Farquhar, 2007; Brodribb et al., 2009; Lawson et al., 2011; Vico et al., 2011). However, although stomatal response times are known to vary widely across species (Assmann and Grantz, 1990; Franks and Farquhar, 2007; Vico et al., 2011), the biophysical factors governing the rate of response are not well understood.

Plant photosynthetic productivity and water-use efficiency (WUE) are also linked to the dynamic range of stomatal conductance. Under favourable conditions of low evaporative demand and high light, the upper limit of the CO2 assimilation rate is determined by the maximum operating stomatal conductance, gop (assuming the biochemical limitations to CO2 assimilation rate are fixed). Under severe water deficits resulting from high evaporative demand and/or dry soil, plants rely upon full stomatal closure and a highly water-impermeable leaf cuticle to minimize water loss (Hinckley et al., 1980; McDowell et al., 2008). Across plant taxa there is a wide range of operating and minimum stomatal conductances (Jones, 1992; Schulze et al., 1994; Körner, 1995). However, it is not known if maximum and minimum stomatal conductance typically scale with one another.

Commonly defined as the minimum stomatal conductance in darkness, gmin for a given leaf may differ on account of the time of day or other physiological circumstances. For example, stomata typically close in response to darkness and remain closed for much of the night, but often the closure is not complete. In fact the night-time or ‘nocturnal’ conductance can be sufficient to allow significant transpiration (Ehrler, 1971; Benyon, 1999; Snyder et al., 2003; Barbour et al., 2005; Bucci et al., 2005; Daley and Phillips, 2006; Dawson et al., 2007), and growth conditions may produce stomata that cannot close completely even when fully deflated at zero turgor (Franks and Farquhar, 2007). Night-time transpiration rates are typically between 5% and 15% of daytime transpiration, but in rare cases can be >30% (Caird et al., 2007; Novick et al., 2009). Such high rates of water loss at times of little or no carbon gain are inconsistent with the general role of stomata as a water-conserving apparatus, but little is known about the mechanism of nocturnally elevated stomatal conductance or its relationship to the minimum conductance in darkness at other times of the day and under desiccation. There is some evidence that nocturnal transpiration assists with nutrient uptake and sustains carbohydrate export, particularly in fast growing trees (Marks and Lechowicz, 2007). Here three different conductance minima are distinguished according to the circumstances in which they are promoted: (i) gmin(dawn), referring to the minimum stomatal conductance to water vapour at the end of the nocturnal dark phase; (ii) gmin(day), referring to the minimum stomatal conductance to water vapour attained when the leaf is exposed to a period of darkness during normal daylight hours; and (iii) the absolute minimum conductance to water vapour, gmin(abs), occurring when the guard cells are fully deflated as a result of complete turgor loss (Fig. 1). The quantities gop, gmin(dawn), gmin(day), and gmin(abs) all comprise a stomatal component in parallel with a cuticular component, although gmin(abs) may closely approximate cuticular conductance. Common empirical stomatal models do not adequately account for elevated minimum conductance at night or its environmental sensitivities (Barbour and Buckley, 2007), but few studies have measured all of these conductances together so the relationship between them is obscure.

The operating stomatal conductance, gop, is also known to scale with other leaf gas exchange and water transport attributes, such as CO2 assimilation rate and leaf hydraulic conductance (Meinzer, 2003; Brodribb et al., 2007). However, non-linearities in some of these relationships result in trade-offs. For example, increased CO2 assimilation rate accompanying higher gop may be associated with lower WUE (Franks and Farquhar, 1999) and higher leaf water potential gradients (Franks, 2006). Improved stomatal dynamic properties with increased gop could potentially help to offset these counterproductive properties.

The operating conductance gop is constrained by the maximum stomatal conductance, gmax, which in turn is determined by two physical attributes of stomata: (i) their size (S) and (ii) their density (D), or number per unit area. A distinction is made between gmax and gop because gmax relates to stomata opened to their widest possible apertures (e.g. under 100% relative humidity and low ambient CO2 concentration), whereas under typical operating conditions (<100% relative humidity and normal ambient CO2 concentration) stomatal apertures will be less than fully open. It has been shown that across broad geological time scales and evolutionary lineages, higher gmax and gop are associated with smaller stomatal size and higher density, and that S is negatively correlated with D (Hetherington and Woodward, 2003; Franks and Beerling, 2009). This relationship has also been found to apply within a single species across environmental gradients (Franks et al., 2009), and also across a group of six tree species of different genera (Aasama et al., 2001). Smaller stomata, due to their greater membrane surface area to volume ratio, may have faster response times compared with larger stomata, and this in combination with high stomatal density may allow the leaf to attain high gop rapidly under favourable conditions, and to reduce conductance rapidly when conditions are unfavourable. In such a system, the rate of stomatal response would be positively correlated with gop and negatively correlated with stomatal size. However, to date, these functional relationships have not been confirmed.

Within plant functional groups there is a strong positive correlation between gop, the operating rate of photosynthesis, A, and photosynthetic capacity (maximum rate of carboxylation, Vcmax, and light-saturated rate of electron transport, Jmax) (Wullschleger, 1993; Kattge et al., 2009; Cernusak, 2011). For constant atmospheric CO2 concentration and leaf evaporative potential [leaf-to-air water vapour pressure difference (VPD)], WUE (the ratio of the rate of CO2 assimilation to transpiration) is proportional to the relative draw-down in CO2 concentration from the atmosphere to the leaf interior (1–ci/ca), where ci/ca is the ratio of atmospheric to leaf internal CO2 concentration. If the correlation between A and gop is linear across species, then this would imply that under constant environmental conditions, WUE is relatively constant. However, there is evidence to suggest that the correlation is non-linear, with gop increasing proportionally more than A across species under constant environmental conditions (Franks and Farquhar, 1999; Franks, 2006). This non-linearity implies that gop is negatively correlated with instantaneous WUE across species, despite increasing photosynthetic capacity.

The objective of this study was to test three hypotheses: (i) operating stomatal conductance under standard conditions (gop) correlates with minimum stomatal conductance prior to morning light [gmin(dawn)]; (ii) stomatal size (S) is negatively correlated with gop and the maximum rate of stomatal opening in response to light (dg/dt)max; and (iii) gop correlates negatively with instantaneous WUE despite positive correlations with Vcmax and Jmax. To test these hypotheses, the above traits were measured in a closely related group of Banksia species that are distributed across a broad hydrological environment from wetlands to dune crests (Fig. 2) (Groom, 2002, 2004). Restricting the study to a single genus ensured minimal genetic variability while offering a broad range of gop, stomatal size, and stomatal density traits for analysis. The results are assessed in terms of their implications for plant water balance and fitness under the differing hydrological habitats of the study species.


Materials and methods
Plant material

Five Banksia species, endemic to the Banksia woodland of south-western Australia (31°45’S, 115°57’E), were selected for study. The species were as follow: Banksia attenuata R.Br., Banksia menziesii R.Br., Banksia ilicifolia R.Br., Banksia prionotes Lindl., and Banksia littoralis R.Br. Figure 2, based on the natural geographical range of south-west Australian banksias, is an idealized representation of the distribution of the species across five distinct habitats as defined by the depth of groundwater from the natural surface (Table 1).

Four plants from each species were grown from seed in a glasshouse in 10 litre pots. Plants were allowed to develop in 70:30 coarse sand:humus and fertilized with 33.38±0.24g (mean ±SE) of slow release fertilizer (Osmocote™). All plants were well watered throughout development and maintained under a day/night temperature regime of 24/15 °C. When leaves had fully matured under these conditions, each plant was periodically transferred to a laboratory (air temperature range=23±3 °C), rewatered, and allowed to equilibrate overnight in preparation for the following day’s gas exchange measurements.

Gas exchange

Leaf gas exchange properties were measured in the laboratory with an open-flow portable photosynthesis system (Model Li 6400, Li-Cor Inc., Lincoln, NE, USA) on one leaf per plant (n=4 plants per species). All experiments were initiated early in the morning (07:30–08:30h local standard time) and were concluded within the natural daylight photoperiod. Plants were kept well watered throughout measurements. Measurements were made on fully expanded leaves (three or four leaves back from a branch apex). Throughout experiments, the ambient mole fraction of CO2 (ca) was maintained at 350 µmol CO2 mol–1 air [except for relationships between assimilation rate (A) and intercellular mole fraction of CO2 (ci)], leaf temperature was set at 20 °C, and leaf-to-air water VPD regulated to 1 kPa.

In the morning, minimum steady-state stomatal conductance to water vapour prior to light exposure [gmin(dawn), mol H2O m–2 leaf s–1] was determined with the leaf in darkness. A stomatal opening phase, comprising the transition from gmin(dawn) to a maximum steady-state or operating stomatal conductance to water vapour (gop, mol H2O m–2 leaf s–1), was then recorded by exposing leaves to a photosynthetically active radiation (PAR) of 1500 µmol m–2 s–1 (while keeping the other chamber conditions constant) and logging instantaneous stomatal conductance (g) at 60 s intervals. This opening phase took ~120min to reach a steady-state gop for each species. It is noted that this opening phase following prolonged darkness is likely to be slower than that following only a brief period of darkness because of reduced photosynthetic induction (Pearcy et al., 1997). After ensuring that all transient stomatal opening had ceased, the maximum steady-state CO2 assimilation rate (Aop, µmol m–2 leaf s–1) and corresponding intercellular CO2 mole fraction [ci (op), µmol CO2 mol–1 air] and steady-state transpiration rate (Eop, mmol H2O m–2 leaf s–1) were also recorded. Also at this point, the relationship between instantaneous CO2 assimilation rate A and leaf intercellular CO2 concentration ci was obtained (see below). PAR was then returned to zero, and the subsequent stomatal closing phase, to a minimum steady-state value, gmin(day), was recorded by logging stomatal conductance at 60 s intervals. The time frame for stomatal closure varied across species, ranging from ~100min to 250min. The leaf was then excised from the plant and any further decline in stomatal conductance recorded, with the final minimum conductance for excised leaves measured as the absolute minimum, gmin(abs).

The relationship between A and ci was obtained for each plant by manipulating ca over the range 50 µmol CO2 mol–1 air to 2000 µmol CO2 mol–1 air, beginning with the steady-state conditions at 350 µmol CO2 mol–1 air, then stepping ca down to 300, 200, 100, and 50, and then up to 400, 600, 800, 1000, 1400, 1800, and 2000 µmol CO2 mol–1 air. The relationship was characterized according to the model proposed by Farquhar et al. (1980b) and subsequently modified by von Caemmerer and Farquhar (1981), Sharkey (1985), and Harley et al. (1992). Undertaking this mechanistic analysis of the relationship between A and ci yielded estimates for the maximum rate of carboxylation (Vcmax, µmol CO2 m–2 leaf s–1) and the light-saturated rate of electron transport (Jmax, µmol CO2 m–2 leaf s–1).

Deriving the maximum rate of stomatal opening

Plots of instantaneous stomatal conductance (g) versus time elapsed since the start of measurements (t, s) obtained during the stomatal opening phase were described by Boltzmann sigmoidal models:


(1) 

where a1 (mol m–2 s–1) is the left horizontal asymptote, a2 (mol m–2 s–1) is the right horizontal asymptote, t0 (s) is the point of inflection, and Δt (s) is the change in time that corresponds to the greatest change in g. Using an iterative least squares fit approach, values for a1, a2, t0, and Δt were determined for each plant. The instantaneous rates of stomatal opening (dg/dt, mol m–2 s–2) across the entire range of t were then calculated by taking the derivative of Equation 1:


(2) 

and the maximum rate of stomatal opening (dg/dtmax, mol m–2 s–2) determined for each plant as dg/dt when t=t0.

This procedure was repeated after converting g to a relative value, grelative:


(3) 

and the time taken to reach 50% of grelative (t50, minutes) determined.

Stomatal morphology

A tissue sample was obtained halfway from the leaf tip to the base from each leaf that was analysed for gas exchange properties and stored in 70% ethanol. For all species except B. littoralis, stomata were concentrated within crypts on the abaxial surface. Stomata of B. littoralis also only occurred on the abaxial surface, but no crypts were observed. The leaf epidermal surface of each species was also comprised of thickly intertwined trichomes. To obtain a clear view of stomata amidst these surface features, each sample was first rehydrated by rinsing under tap water then embedded in paraffin wax. Planar (through the epidermis) and transverse sections were then cut to 10 µm thickness with a rotary microtome (Leica model RM 2125, Leica Microsystems, Wetzlar, Germany). The sections were then positioned on slides that were dipped in 2% gelatin immediately prior to mounting. Slides were then placed in a coplin jar with filter paper soaked in formaldehyde to allow vapour fixation (of the section to gelatin). The coplin jar was covered with a lid and the sections allowed to dry at room temperature for 12h. Sections were then stained in 0.1% aqueous toluidine blue, examined under a compound light microscope, and images captured with a digital camera.

Stomatal morphological parameters [guard cell length L (µm) and guard cell pair width W (µm)] were measured from images obtained from planar sections as the mean of 20 stomatal complexes (guard cell pairs) for each species. Stomatal size (S) is reported as the product of L and W (µm2).

For each species, stomatal density [i.e. number of stomata per unit epidermal area (D, mm–2)] was calculated from transverse sections. For each section, the number of stomata (ns) intercepted by the microtome during cutting was counted along a known length of epidermis (l, µm, n=12 lengths per species). The length of epidermis ranged from ~450 µm to 4400 µm. Assuming each transect captured an area of epidermis of width (we) approximately equal to the average of the length and width of a stoma, the stomatal density was calculated as D=ns/(l×we).


Results

The operating stomatal conductance gop was positively correlated with gmin(dawn) [Fig. 3A; y=0.844–0.562e–(x–0.004)/0.024, r2=0.70] and with (dg/dt)max (Fig. 3B; y= –0.09+3.40x, r2=0.71, P < 0.001). Across species, there was a 3-fold variation in (dg/dt)max, ranging from 0.07 mmol m–2 s–2 to 0.25 mmol m–2 s–2. gmin(dawn) was also positively correlated with (dg/dt)max [Fig. 3C; y=5.08×10–6e(x/0.03)+0.01, r2=0.78]. These results indicate that higher maximum and minimum stomatal conductance is linked to faster absolute rates of response of stomatal conductance to leaf irradiance.

Across species, (dg/dt)max was negatively correlated with stomatal size (S) [Fig. 4A; y=1187×e(–x/37)+0.13, r2=0.94, P < 0.01] and positively correlated with stomatal density D (Fig. 4B; y=0.00047x, r2=0.71, P < 0.05), indicating that leaves with smaller and more numerous stomata exhibit faster absolute rates of response of stomatal conductance to water vapour. The positive relationship between t50 and S (Fig. 4C; y=16.63+0.05x, r2=0.34, P < 0.05) further indicates that smaller stomata exhibited a faster response in relative terms.

Stomatal opening in response to a step increase in light followed a similar pattern in all species, resembling the typical dynamic response of a second-order dynamic system with near-critical damping (Fig. 5AE). For each species, the stomatal opening phase was accompanied by an increase in CO2 assimilation rate (A) to a maximum steady-state value (Aop), although Aop was established prior to gop (Fig. 5FJ).

Across species, mean gop varied by ~2-fold and mean gmin(dawn) varied by 7-fold (Table 2). The mean absolute minimum stomatal conductance gmin(abs) ranged from 6.0 mmol m–2 s–1 to 20 mmol m–2 s–1, which compares favourably with the range of minimum stomatal conductance reported for deciduous and evergreen plants using leaf drying curves (1.0–20 mmol m–2 s–1) (Burghardt and Riederer, 2003).

Over the dynamic range of stomatal opening, CO2 assimilation rate increased with stomatal conductance in the usual saturating fashion (Fig. 6A). Steady-state instantaneous WUE, defined as Aop/Eop at 1 kPa VPD (see the controlled, standardized environmental conditions in the Materials and methods) ranged from 2.5 mmol mol–1 to 6.5 mmol mol–1, and all of the species reached a peak in WUE when A was ~5 µmol m–2 s–1 (Fig. 6B). Banksia attenuata and B. menzeisii had the highest WUE and B. littoralis had the lowest WUE (Fig. 6B). WUE was negatively correlated with gop (Fig. 6C; y=6.49–4.51x; r2=0.52, P < 0.001).

The maximum rate of carboxylation (Vcmax) ranged from 23.90 µmol m–2 s–1 to 47.11 µmol m–2 s–1, and the light-saturated rate of electron transport (Jmax) ranged from 64.2 µmol m–2 s–1 to 131 µmol m–2 s–1. The average value of Vcmax and Jmax was 37.22±1.47 µmol m–2 s–1 and 103.74±4.24 µmol m–2 s–1, respectively. This is lower than the average values reported by Wullschleger (1993) for sclerophyllous shrubs (53±15 µmol m–2 s–1 and 122±31 µmol m–2 s–1 for Vcmax and Jmax, respectively), but is similar to the values for temperate forest hardwoods (47±33 µmol m–2 s–1 and 104±67 µmol m–2 s–1 for Vcmax and Jmax, respectively). Across individual plants A(op) (defined here as the maximum operating CO2 assimilation rate under standard conditions, as distinct from the maximum ribulose bisphosphate regeneration-limited rate induced under elevated CO2 concentration) was positively correlated with Vcmax (Fig. 7A) and Jmax (Fig. 7B) [y=0.47x–1.39, r2=0.81, P < 0.001 for Aop(max) versus Vcmax, and y=0.14x+1.14, r2=0.64 P < 0.001 for A(op)max versus Jmax]. There was no apparent species grouping within either correlation.

Stomatal closure in response to darkening of leaves followed a similar pattern across species, but the minimum steady conductance during this mid-day darkening of leaves, gmin(day), was considerably higher than gmin(dawn) (Fig. 8). The average percentage decline in g after mid-day darkening, with respect to the illuminated steady-state conductance (gop), was 59.23, 61.80, 64.36, 65.57, and 86.08 % for B. menziesii, B. prionotes, B. ilicifolia, B. attenuata, and B. littoralis, respectively. After excising leaves, a further decline in g was noted. The average percentage decline in g with leaf excision, relative to gmin(day), was 95.00, 93.28, 95.20, 94.87, and 79.93 for B. attenuata, B. menziesii, B. ilicifolia, B. prionotes, and B. littoralis, respectively. On this occasion B. littoralis, the species restricted to sites with high soil moisture, showed the least relative decline in g.


Discussion

In support of hypotheses (i) and (ii), gop correlated with gmin(dawn) and with the maximum rate of stomatal response to light (dg/dt)max (Fig. 3A, B). The results suggest that the day and night-time stomatal conductances are positively correlated across these Banksia species and that a functional connection exists between these traits and the dynamic behaviour of stomata. Enhanced dynamic response with higher operational stomatal conductance has implications for improved long-term WUE and lower risk of disruption of the leaf hydraulic system.

The positive correlation between gop and gmin(dawn) (Fig. 3A) suggests that there is a trade-off in which leaves built for higher rates of leaf gas exchange maintain higher stomatal conductance at night. The positive correlation also between gop and (dg/dt)max (Fig. 3B) suggests that the water losses due to the accompanying elevated night-time stomatal conductance and, consequently, the elevated night-time transpiration rates are offset by better dynamic control of stomata during the day. The role of night-time stomatal conductance remains elusive, and the mechanism of its control is poorly understood (Barbour and Buckley, 2007). However, the scaling relationships identified in this study provide important mechanistic foundations for predicting the dynamic range of stomatal control and for improved modelling of stomatal control through day–night cycles.

Higher gop, faster (dg/dt)max, and shorter t50 were associated with smaller and more numerous stomata (Fig. 4A–C). Investment in stomatal infrastructure to facilitate high gas exchange capacity is constrained by the availability of space on the leaf surface and the total metabolic energy required to actively regulate stomatal pore size in a given number of stomata (Franks and Farquhar, 2007; Franks et al., 2009). The present study suggests that the inherently faster stomatal response of leaves with high gop and smaller stomata could provide enhanced water balance in dynamic light environments in addition to the higher assimilation rates accompanying high gop. However, the interaction between the dynamic response of stomata and the frequency of light fluctuations is complex, with frequency dramatically influencing the average stomatal response (Cardon et al., 1994).

Despite the advantages of faster stomatal response (i.e. compared with leaves with the same gop but slower stomatal response), greater overall WUE may still be more strongly associated with lower gop, as indicated by the negative correlation between WUE and gop across species (Fig. 6C). However, the faster response times associated with higher gop (Figs 3B, 4C) help to compensate for this. WUE trended towards higher values in species that occur naturally in areas with a large depth to groundwater (Table 1) and therefore higher probability of water deficit. Assuming these qualities are genetically conserved and the observed differences translate qualitatively to these species in their natural environment, the results help to explain why the species with higher photosynthetic capacity prefer damp habitats while those with lower capacity occupy seasonally dry habitats (Fig. 2). Similarly, Anderson et al. (1996) showed that the WUE of commonly grown Eucalyptus species correlated negatively with the rainfall of their respective native habitat, suggesting genetic conservation of gas exchange traits that have been optimized to local conditions. Faster stomatal response improves WUE in environments with fluctuating light and evaporative demand, so higher (dg/dt)max associated with higher gop will help to counteract reduced WUE in leaves with high gop.

The correlation between gop and (dg/dt)max is consistent with selection for a stomatal control mechanism that minimizes exposure to excessive water potential gradients. With increasing gop, the plant is more exposed to potentially damaging water potential gradients arising from sudden changes in evaporation potential. Faster stomatal closure in response to these changes will reduce the risks associated with such exposure, including formation of air embolisms in the xylem. Stomatal response to light and VPD (or transpiration rate) have similar kinetics (Grantz and Zeiger, 1986), so it may be useful to compare species on the basis of them having generally ‘faster’ or ‘slower’ stomatal mechanisms. In Fig. 9 the value of faster response times for plants with higher gop is illustrated. The simulations use the data and model in Franks (2006) for plants with different gas exchange and hydraulic capacities. It is shown that, for a step increase in VPD from 1 kPa to 1.5 kPa, plants operating with higher gop at 1 kPa VPD are exposed to higher leaf water potential gradients (ΔΨleaf) immediately after the change, and may therefore benefit from a faster rate of reduction of stomatal conductance to the new steady rate at 1.5 kPa VPD.

Conclusions

Although several studies have demonstrated scaling of stomatal conductance with static indicators of plant gas exchange capacity (Wong et al., 1979; Field and Mooney, 1986; Meinzer, 2003), the present results show scaling with a dynamic performance characteristic, (dg/dt)max, and this dynamic attribute also scaled with stomatal size and stomatal density. Maximum daytime operating stomatal conductance, gop, and pre-dawn minimum stomatal conductance, gmin(dawn), were positively correlated with the rate of stomatal response to light. Leaves with higher gop have lower instantaneous WUE and are exposed to larger transient water potential gradients. Faster stomatal response times in such leaves may improve long-term WUE and reduce exposure to transient water potential gradients. Smaller stomata with faster dynamic characteristics may therefore be integral to selection for high stomatal conductances accompanying higher photosynthetic capacity. This principle may also be applied in the selection for plants with improved agricultural qualities.


Acknowledgements

We thank Robyn Loomes and Muriel Davies for maintaining the glasshouse, and Gordon Thomson for assistance with histology. We are also grateful for helpful comments from Daniel Mendham. This project was supported by the Australian Research Council (grant no. LP-0669240).


References
Aasama K,Sõber A,Rahi M. Year: 2001Leaf anatomical characteristics associated with shoot hydraulic conductance, stomatal conductance and stomatal sensitivity to changes of leaf water status in temperate deciduous trees. Australian Journal of Plant Physiology28, 765–774
Anderson JE,Williams J,Kriedemann PE,Austin MP,Farquhar GD. Year: 1996Correlations between carbon isotope discrimination and climate of native habitats for diverse eucalypt taxa growing in a common garden. Australian Journal of Plant Physiology23, 311–320
Assmann SM,Grantz DA. Year: 1990Stomatal response to humidity in sugarcane and soybean: effect of vapour pressure difference on the kinetics of the blue light response. Plant, Cell and Environment13, 163–169
Barbour MM,Buckley TN. Year: 2007The stomatal response to evaporative demand persists at night in Ricinus communis plants with high nocturnal conductance. Plant, Cell and Environment30, 711–721
Barbour MM,Cernusak LA,Whitehead D,Griffin KL,Turnbull MH,Tissue DT,Farquhar GD. Year: 2005Nocturnal stomatal conductance and implications for modelling δ18O of leaf-respired CO2 in temperate tree species. Functional Plant Biology32, 1107–1121
Benyon RG. Year: 1999Nighttime water use in an irrigated Eucalyptus grandis plantation. Tree Physiology19, 853–85910562402
Brodribb TJ,Field TS,Jordan GS. Year: 2007Leaf maximum photosynthetic rate and venation are linked by hydraulics. Plant Physiology144, 1890–189817556506
Brodribb TJ,McAdam S. A. M.,Jordan GJ,Field TS. Year: 2009Evolution of stomatal responsiveness to CO2 and optimisation of water-use efficiency among land plants. New Phytologist183, 839–84719402882
Bucci SJ,Goldstein G,Meinzer FC,Franco AC,Campanello P,Scholz FG. Year: 2005Mechanisms contributing to seasonal homeostasis of minimum leaf water potential and predawn disequilibrium between soil and plant water potential in neotropical savanna trees. Trees-Structure and Function19, 296–304
Burghardt M,Riederer M. Year: 2003Ecophysiological relevance of cuticular transpiration of deciduous and evergreen plants in relation to stomatal closure and leaf water potential. Journal of Experimental Botany54, 1941–194912815029
Caird MA,Richards JH,Donovan LA. Year: 2007Nighttime stomatal conductance and transpiration in C3 and C4 plants. Plant Physiology143, 4–1017210908
Cardon ZG,Berry JA,Woodrow IE. Year: 1994Dependence of the extent and direction of average stomatal response in Zea mays L. and Phaseolusvulgaris L. on the frequency of fluctuations in environmental stimuli. Plant Physiology105, 1007–101312232261
Cernusak LA,Hutley LB,Beringer J,Holtum JAM,Turner BL. Year: 2011Photosynthetic physiology of eucalypts along a sub-continental rainfall gradient in northern Australia. Agricultural and Forest Meteorology151, 1462–1470
Cowan IR. Year: 1977Stomatal behaviour and environment. Advances in Botanical Research4, 117–228
Daley MJ,Phillips NG. Year: 2006Interspecific variation in nighttime transpiration and stomatal conductance in a mixed New England deciduous forest. Tree Physiology26, 411–41916414920
Dawson TE,Burgess SSO,Tu KP,Oliveira RS,Santiago LS,Fisher JB,Simonin KA,Ambrose AR. Year: 2007Nighttime transpiration in woody plants from contrasting ecosystems. Tree Physiology27, 561–57517241998
Dawson TE,Pate JS. Year: 1996Seasonal water uptake and movement in the root systems of Australian phreatophytic plants of dimorphic root morphology: a stable isotope investigation. Oecologia107, 13–20
Ehrler WL. Year: 1971Periodic nocturnal stomatal opening of citrus in a steady environment. Physiologia Plantarum25, 488–492
Farquhar GD,Schulze ED,Kuppers M. Year: 1980aResponses to humidity by stomata of Nicotina glauca L. and Corylus avellana L. are consistent with the optimization of carbon dioxide uptake with respect to water loss. Australian Journal of Plant Physiology7, 315–327
Farquhar GD,von Caemmerer S,Berry JA. Year: 1980bA biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta149, 78–90
Field CB,Mooney HA. Year: 1986The photosynthetic–nitrogen relationship in wild plants. . In: Givnish TJ, ed. On the economy of plant form and function. Cambridge: Cambridge University Press, 22–55
Franks PJ. Year: 2006Higher rates of leaf gas exchange are associated with higher leaf hydrodynamic pressure gradients. Plant, Cell and Environment29, 584–592
Franks PJ,Beerling DJ. Year: 2009CO2-forced evolution of plant gas exchange capacity and water-use efficiency over the Phanerozoic. Geobiology7, 227–23619338614
Franks PJ,Drake PL,Beerling DJ. Year: 2009Plasticity in maximum stomatal conductance constrained by negative correlation between stomatal size and density: an analysis using Eucalyptus globulus. Plant, Cell and Environment32, 1737–1748
Franks PJ,Farquhar GD. Year: 1999A relationship between humidity response, growth form and photosynthetic operating point in C3 plants. Plant, Cell and Environment22, 1337–1349
Franks PJ,Farquhar GD. Year: 2007The mechanical diversity of stomata and its significance in gas-exchange control. Plant Physiology143, 78–8717114276
Grantz DA,Zeiger E. Year: 1986Stomatal responses to light and leaf–air water vapour pressure differences show similar kinetics in sugarcane and soybean. Plant Physiology81, 865–86816664916
Groom PK,Froend RH,Mattiske EM. Year: 2001Long-term changes in vigour and distribution of Banksia and Melaleuca overstorey species on the Swan Coastal Plain. Journal of the Royal Society of Western Australia84, 63–69
Groom PK. Year: 2002Seedling water stress response of two sandplain Banksia species differing in ability to tolerate drought. Journal of Mediterranean Ecology3, 3–9
Groom PK. Year: 2004Seedling growth and physiological response of two sandplain Banksia species differing in flood tolerance. Journal of the Royal Society of Western Australia87, 115–121
Harley PC,Thomas RB,Reynolds JF,Strain BR. Year: 1992Modelling photosynthesis of cotton grown in elevated CO2. Plant, Cell and Environment15, 271–282
Hetherington AM,Woodward FI. Year: 2003The role of stomata in sensing and driving environmental change. Nature424, 901–90812931178
Hinckley TM,Duhme F,Hinckley AR,Richter H. Year: 1980Water relations of drought-hardy shrubs: osmotic potential and stomatal reactivity. Plant, Cell and Environment3, 131–140
Jones HG. Year: 1992Plants and microclimate. Cambridge: Cambridge University Press
Kattge J,Knorr W,Raddatz T,Wirth C. Year: 2009Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global-scale terrestrial biosphere models. Global Change Biology15, 976–991
Körner C. Year: 1995Leaf diffusive conductances in the major vegetation types of the globe. . In: Schulz E-D,Caldwell MM, eds. Ecophysiology of photosynthesis. Berlin: Springer, 463–490
Lam A,Froend RH,Downes S,Loomes R. Year: 2004Water availability and plant response: identifying the water requirements of Banksia woodland on the Gnangara Groundwater Mound A report to the Water Corporation of Western Australia
Lawson T,von Caemmerer S,Baroli I. Year: 2011Photosynthesis and stomatal behaviour. Progress in Botany72, 265–304
Marks CO,Lechowicz MJ. Year: 2007The ecological and functional correlates of nocturnal transpiration. Tree Physiology27, 577–58417241999
McDowell N,Pockman WT,Allen CD,et al. Year: 2008Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought?. New Phytologist178, 719–73918422905
Meinzer FC. Year: 2003Functional convergence in plant responses to the environment. Oecologia134, 1–1112647172
Novick KA,Oren R,Stoy PC,Siqueira MBS,Katul GG. Year: 2009Nocturnal evapotranspiration in eddy-covariance records from three co-located ecosystems in the Southeastern US: implications for annual fluxes. Agricultural and Forest Meteorology149, 1491–1504
Pate JS,Jeschke WD,Aylward MJ. Year: 1995Hydraulic architecture and xylem structure of the dimorphic root systems of south-west Australian species of Proteaceae. Journal of Experimental Botany46, 907–915
Pearcy RW,Gross LJ,He D. Year: 1997An improved dynamic model of photosynthesis for estimation of carbon gain in sunfleck light regimes. Plant, Cell and Environment20, 411–424
Schulze ED,Kelliher FM,Körner C,Lloyd J,Leuning R. Year: 1994Relationships among maximum stomatal conductance, ecosystem surface conductance, carbon assimilation rate, and plant nitrogen nutrition—a global ecology scaling exercise. Annual Review of Ecology and Systematics25, 629–660
Sharkey TD. Year: 1985Photosynthesis in intact leaves of C3 plants: physics, physiology and rate limitations. Botanical Review51, 53–105
Snyder KA,Richards JH,Donovan LA. Year: 2003Night-time conductance in C3 and C4 species: do plants lose water at night?. Journal of Experimental Botany54, 861–86512554729
Vico G,Manzoni S,Palmroth S,Katul G. Year: 2011Effects of stomatal delays on the economics of leaf gas exchange under intermittent light regimes. New Phytologist192, 640–65221851359
von Caemmerer S,Farquhar GD. Year: 1981Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves. Planta153, 376–387
Wong SC,Cowan IR,Farquhar GD. Year: 1979Stomatal conductance correlates with photosynthetic capacity. Nature282, 424–426
Wullschleger SD. Year: 1993Biochemical limitations to carbon assimilation in C3 plants—a retrospective analysis of the A/ci curves from 109 species. Journal of Experimental Botany44, 907–920
Zencich SJ,Froend RH,Turner JV,Gailitis V. Year: 2002Influence of groundwater depth on the seasonal water sources of water accessed by Banksia tree species on a shallow, sandy coastal aquifer. Oecologia131, 8–19

Figures

[Figure ID: F1]
Fig. 1. 

The different phases of stomatal conductance examined in this study: gmin, steady-state stomatal conductance in darkness, either at dawn [gmin(dawn)] or after suddenly induced darkness [gmin(day)]; (dg/dt)max, the maximum rate of change of g during light-induced stomatal opening; gop, steady-state operating stomatal conductance under standardized ideal conditions (see the Materials and methods); t50, time taken to reach 50% of the range between gmin and gop; gmin(abs), the absolute minimum steady-state stomatal conductance after leaf excision, assumed to result from zero turgor in stomatal guard cells.



[Figure ID: F2]
Fig. 2. 

Idealized distribution of Banksia species on the Gnangara Groundwater Mound with respect to depth to groundwater (see Table 1) and unsaturated soil volume. Banksia littoralis occurs only in association with watercourses and wetland habitats, and is excluded from dune crests occupied by Banksia attenuata and Banksia menzeisii. Accordingly, B. littoralis has a highly restricted geographical distribution, while B. attenuata and B. menzeisii have a more extensive geographical distribution encompassing several hydrological habitats. Adapted from Lam et al. (2004) with kind permission of R.H. Froend. Inset: illustrating the range of leaf size and shape across the study species.



[Figure ID: F3]
Fig. 3. 

Relationship between gop, gmin(dawn), and (dg/dt)max. (A) Across individuals, gop was positively correlated with gmin(dawn). Each point represents the mean ±SE of n=6 consecutive steady-state records for an individual plant. The maximum rate of stomatal opening (dg/dt)max was positively correlated with maximum steady-state stomatal conductance, gop (B) and minimum stomatal conductance induced by darkness, gmin(day) (C).



[Figure ID: F4]
Fig. 4. 

Smaller, faster stomata. The maximum rate of stomatal opening (dg/dt)max was negatively correlated with maximum stomatal size, S (A) and positively correlated with stomtal density, D (B). The time to reach 50% of the range between gmin(dawn) and gop (t50) was positively correlated with stomatal size (C).



[Figure ID: F5]
Fig. 5. 

Time-series of stomatal opening and CO2 assimilation rate in response to light. Each point is the mean ±SE stomatal conductance (g; A–E) and assimilation rate (A; F–J) measured at discrete time intervals (n=4 plants per species). The letter ‘I’ in each graph indicates the start of the illumination phase, when leaves were exposed to a PAR of 1500 µmol m–2 s–1. Prior to this point, leaves were darkened (PAR=0 µmol m–2 s–1).



[Figure ID: F6]
Fig. 6. 

Relationship between CO2 assimilation rate (A), stomatal conductance (g), and instantaneous water-use efficiency (WUE). (A) Instantaneous A versus instantaneous g; (B) instantaneous WUE versus g. Note the peak in WUE at around the same A for all species (~5 µmol m–2 s–1). (C) Negative correlation between WUE and steady-state operating stomatal conductance, gop.



[Figure ID: F7]
Fig. 7. 

The maximum (operating) photosynthetic rate Aop was positively correlated with the maximum rate of carboxylation, Vcmax (A) and the light-saturated rate of electron transport, Jmax (B).



[Figure ID: F8]
Fig. 8. 

Incomplete stomatal closure in the dark. Following a sudden transition from 1500 to 0 PAR (indicated by the arrow labelled ‘dark’), stomatal conductance (g) declined to a steady-state minimum [gmin(day), see Fig. 1]. Further reduction in g occurred after leaf excision (indicated by the arrow), reaching the absolute minimum conductance [gmin(abs)] after desiccation induced the complete loss of guard cell turgor. (A–E) The time-series of g for each species (mean ±SE, n=4 plants per species).



[Figure ID: F9]
Fig. 9. 

Simulations based on the data and model in Franks (2006) show that following an increase in evaporative demand (leaf-to-air vapour pressure difference, VPD), plants that operate with higher stomtatal conductance (gop) are exposed to larger water potential gradients (shown here for leaves, ΔΨleaf; A), even though they have inherently larger maximum leaf hydraulic conductance, kleaf(max) (B). For illustrative purposes, two operating stomatal conductances are contrasted with one another (0.10mol m–2 s–1 and 0.20mol m–2 s–1 at 1 kPa VPD), with their initial and final values indicated by the start and end point (respectively) of the arrows. A faster response time reduces the duration of exposure to excessive water potential gradients.



Tables
[TableWrap ID: T1] Table 1. 

Approximate range in groundwater depth of the study species.


Species Approximate range of groundwater depth (m) Source
Banksia attenuata 3 to >30 Zencich et al. (2002); Lam et al. (2004)
Banksia menziesii 3 to >30 Lam et al. (2004)
Banksia prionotes 1.5 to 10 Dawson and Pate (1996); Pate et al. (1995)
Banksia ilicifolia <10 Groom et al. (2001); Zencich et al. (2002)
Banksia littoralis <5 Groom et al. (2001)

[TableWrap ID: T2] Table 2. 

Comparison of stomatal conductances to water vapour (mmol m–2 s–1) in the five Banksia species studied. Numbers are means with standard error in parentheses.


Species gmin(dawn) gop gmin(day) gmin(abs)
B. attenuata 9.42 (1.9) 345 (20) 120 (19) 5.7 (0.8)
B. menziesii 6.03 (0.7) 356 (34) 135 (25) 9.5 (0.8)
B. illicifolia 12.4 (1.8) 421 (32) 143 (23) 8.5 (2.7)
B. prionotes 12.9 (1.1) 469 (4) 171 (20) 8.8 (0.7)
B. littoralis 44.0 (2.9) 761 (19) 95 (4) 20 (0.7)

gmin(dawn), prior to morning light exposure; gop, at full stomatal opening under ideal conditions; gmin(day), following closure in response to leaf darkening at midday; gmin(abs), after leaf excision.



Article Categories:
  • Research Paper

Keywords: Key words: Maximum stomatal conductance, night-time conductance, stomatal control, stomatal size, transpiration, water-use efficiency..

Previous Document:  Outcome of inadequate empirical antibiotic therapy in emergency department patients with community-o...
Next Document:  Ethylene promotes hyponastic growth through interaction with ROTUNDIFOLIA3/CYP90C1 in Arabidopsis.