Date post: | 27-Nov-2023 |
Category: |
Documents |
Upload: | laurentian |
View: | 0 times |
Download: | 0 times |
RESEARCH New Phytol. (2000), 148, 459–471
Root tissue structure is linked to ecological
strategies of grasses
STEFAN WAHL PETER RYSER*
Geobotanisches Institut ETH, Gladbachstr. 114, 8044 ZuX rich, Switzerland
Received 10 March 2000; accepted 14 July 2000
The present study investigated to what extent there is a link between root tissue structure and ecological strategies
of plant species; such a link is known for leaf tissue structure. We investigated experimentally root tissue mass
density, root diameter and several characteristics of root anatomy in the axile roots of 19 perennial grass species
from different habitats and related these parameters to the ecological behaviour of the species. Root characteristics
were assessed in new roots produced by mature plants grown under standardized conditions. The ecological
behaviour was characterized in terms of relative growth rate (RGR), plant height at maturity and ecological
indicator values for nutrients, light and tolerance to mowing according to Ellenberg. We found a striking
dichotomy between root anatomical characteristics associated with interspecific variation in RGR and those
associated with variation in plant height. RGR correlated with anatomical characteristics that contribute to root
robustness, whereas plant height correlated with characteristics associated with axile root hydraulic conductance.
RGR correlated negatively with tissue mass density (TMDr) in roots. Interspecific variation in TMD
rwas
explained by the proportion of stele in the cross-sectional area (CSA) of the axile root and the proportion of cell
wall in the CSA of the stele. For a given root diameter, slow growing species had smaller, albeit more numerous,
xylem vessels, indicating a higher resistance to cavitation and protection against embolisms. Plant height
correlated positively with root CSA, total xylem CSA and mean xylem vessel CSA, indicating a need for a high
transport capacity in roots of species that attain a large size at maturity. TMDrcorrelated positively with dry
matter content in leaves. The results emphasize the close relationship between tissue structure and growth
characteristics at the whole-plant level.
Keywords: axile roots, interspecific variation, Poaceae, relative growth rate, root anatomy, root tissue mass
density, species height, tissue structure.
Trade-offs between characteristics of plants pro-
moting resource capture and rapid growth, and those
promoting resource conservation and stress tol-
erance, are crucial in determining the ecological
behaviour of a species. This conclusion is based on
numerous studies dealing with the physiological,
chemical and morphological traits of plant species
with contrasting inherent relative growth rates
(RGR; Grime et al., 1997; Reich et al., 1997;
Lambers et al., 1998). Plant tissue structure is one of
the traits strongly affecting such trade-offs. Low
tissue mass density in leaves is associated with a high
specific leaf area, large total leaf area and fast growth,
on the one hand (Garnier, 1992; Ryser & Lambers,
1995; Meerts & Garnier, 1996; Ryser & Aeschli-
mann, 1999), and with short life span and high
resource losses on the other (Schla$ pfer & Ryser,
1996; Ryser & Urbas, 2000). Leaf toughness and
*Author for correspondence (tel41 1 632 44 80; fax41 1 261
0595; e-mail ryser!geobot.umnw.ethz.ch).
high tensile strength are associated with slow growth
and also with a high degree of mechanical stability of
the leaves, which tend to be well protected against
environmental hazards such as herbivory (Coley,
1983; Reich et al., 1991; Cornelissen et al., 1999).
Hence, tissue mass density is an effective means of
predicting the performance of plants along gradients
of resource availability (Wilson et al., 1999); a low
tissue mass density is characteristic of plants of
productive habitats, a high tissue mass density is
typical in plants of unproductive environments
Studies on the ecological significance of tissue
structure have mostly been restricted to above-
ground organs, especially leaves. However, con-
siderations of both above-ground and below-ground
traits are essential when trade-offs with respect to
resource balance are discussed, as fast growth
requires good resource-acquisition capacity both
above- and below-ground, and resource losses are
caused by turnover of both leaves and roots. One of
the main arguments for the importance of tissue
structure for resource capture is, in fact, that a plant
with low tissue mass density can simultaneously
460 RESEARCH S. Wahl and P. Ryser
Table 1. The 19 grass species studied, their indicator values for nutrients (N-value), light (L-value), and mowing
tolerance (M-value) according to Ellenberg et al. (1992) and Briemle & Ellenberg (1994), seedling relative growth
rate (RGR), seedling relative leaf dry matter content (DM}FM"), mean plant height at maturity and
characteristic habitat
Species N-value L-value M-value
RGR
(g g−" d−")
DM}FM"
(g g−")
Plant height at
maturity (m) Characteristic habitat
Agropyron repens (L.)
Beauv.
7 7 7 0.214 0.138 0.61 Arable land, road verges
Anthoxanthumodoratum L.
— — 7 0.205 0.173 0.19 Wide range of grasslands
Arrhenatherum elatius(L.) J. & C. Presl
7 8 6 0.158 0.175 0.95 Meadows, road verges
Brachypodiumpinnatum (L.) Beauv.
4 6 3 0.089 0.278 0.48 Undermanaged grasslands
Briza media L. 2 8 4 0.100 0.230 0.17 Nutrient-poor grasslands
Bromus erectusHudson
3 8 5 0.093 0.257 0.24 Limestone grasslands
Dactylis glomerata L. 6 7 8 0.178 0.194 0.51 Productive grasslands, road
verges
Deschampsia caespitosa(L.) Beauv.
3 6 5 0.209 0.191 0.18 Grasslands on poorly
drained soils
Festuca ovina L. 1 7 6 0.099 0.267 0.13 Nutrient-poor grasslands
Helictotrichonpubescens (Hudson)
Pilger
4 5 5 0.124 0.265 0.18 Unproductive grasslands
Holcus lanatus L. 5 7 6 — — 0.24 Moist to dry grasslands
Lolium perenne L. 7 8 8 0.189 0.137 0.25 Pastures and meadows
Melica nutans L. 3 4 — 0.034 0.198 0.26 Dry woodlands
Milium effusum L. 5 4 — 0.058 0.226 0.22 Moist woodland
Poa angustifolia L. 3 7 8 0.099 0.230 0.13 Dry grasslands
Poa nemoralis L. 4 5 — 0.166 0.178 0.37 Deciduous woodlands
Poa pratensis L. 6 6 9 0.179 0.227 0.30 Productive grassland
Poa trivialis L. 7 6 8 0.168 0.156 0.11 Moist productive grasslands
Trisetum flavescens(L.) Beauv.
5 7 7 0.147 0.204 0.41 Meadows
The indicator values are expressed on a scale from 1 (low requirements for nutrients, light or low mowing tolerance) to
9 (high requirements, high tolerance). To determine RGR and DM}FM"27 plants were harvested 2–6 wk after planting.
Parameter values were calculated for the plant dry mass of 19 mg. Plant height was determined by image analysis of two
garden-grown plants per species.
have a large leaf area and an extensive root system.
Unlike biomass allocation, tissue mass densities
above- and below-ground do not directly constrain
each other (Ryser & Lambers, 1995).
Both root-system length and leaf area are con-
strained by negative consequences of low tissue mass
density and small organ diameter (Ryser, 1998). The
limits of maximizing root length by reducing tissue
mass density and root diameter are set by the low
hydraulic capacity (Mapfumo et al., 1993), the low
tensile strength (Easson et al., 1995) and the short
life span (Ryser, 1996; Schla$ pfer & Ryser, 1996) of
thin roots with a low tissue mass density. As root-
system length is closely associated with acquisition
capacity for below-ground resources (Ryser, 1998),
the already mentioned constraints are likely to
influence the ecological characteristics of a species.
Furthermore, these constraints are probably also
reflected in root anatomy. In leaves, there is an
association between tissue mass density and pro-
portion of sclerenchyma (Garnier & Laurent, 1994;
Van Arendonk & Poorter, 1994), and in roots
diameter is associated with cell size in the cortex and
with thickness of secondary walls in the exodermis
(Eissenstat & Achor, 1999). However, the ecological
significance of interspecific variation in root anatomy
with respect to plant growth strategies is still largely
unknown.
The main aim of this study was to assess the extent
to which structural characteristics that constrain root
length, tissue mass density and diameter of axile
roots, for example, can be related to ecological
characteristics of a species. We investigated root
tissue structure and root anatomy of axile roots
among 19 ecologically contrasting perennial grass
species. Axile roots, although forming a small
proportion of the total root length, contain a large
part of the biomass allocated below ground (Boot &
Mensink, 1990). One may assume that interspecific
differences in characteristics of axile roots reflect
those of lateral roots as well, as grass roots lack
secondary growth. Among grasses, turnover rate of
axile roots seems to be comparable to that of the finer
laterals (Ryser, 1998).
RESEARCH Interspecific variation in root tissue structure 461
In addition, we investigated which anatomical
traits of roots underlie the interspecific variation in
tissue mass density, and how relations in these traits
are reflected in variation in root diameter. We related
the anatomical data to ecological behaviour of the
various species. The ecological parameters used were
the ecological indicator values for nutrient and light
requirements (Ellenberg et al., 1992), tolerance to
mowing (Briemle & Ellenberg, 1994), and measured
values of relative growth rate (RGR) and plant
height. Plant height and RGR are frequently con-
sidered to be independent key traits defining adaptive
strategies of plant species (Grime & Hunt, 1975;
Chapin et al., 1996; Westoby, 1998). For example, a
high RGR is generally associated with species from
productive and disturbed habitats, whereas tallness
is associated with productive and relatively un-
disturbed habitats. There are indications that both of
these ecologically important characteristics are re-
lated to aspects of root structure; RGR with tissue
mass density, and height with hydraulic conductance
and root diameter (Ryser, 1998). Our study was
restricted to grasses that display a wide variation in
ecological behaviour with respect to nutrients and
disturbance, despite a comparatively uniform growth
form. Lack of secondary growth in grasses further
facilitates comparisons of root anatomy.
Tissue mass density and anatomy of grass roots
We investigated the tissue mass density and root
anatomy of 19 perennial grass species of contrasting
habitats in terms of nutrient availability and light
conditions (Table 1). Species names follow Lauber
& Wagner (1996). Seeds were collected from popu-
lations in the Swiss Mittelland and were sown on
perlite in a glasshouse. After germination, seedlings
were planted on 20 July 1996 in 1-l pots (diameter 10
cm, height 12 cm) containing quartz sand of 0.1–0.7
mm grain size. Every week, during the growing
season, each plant received 200 ml of diluted
Hoagland solution containing the following nu-
trients ; 41 µmol KH#PO
%, 136 µmol KNO
$, 65 µmol
Ca(NO$)#, 37 µmol MgSO
%, 0.017 µmol
CuSO%[5H
#O, 0.0070 µmol ZnSO
%[7H
#O, 0.17
µmol MnCl#[4H
#O, 0.42 µmol H
$BO
$, 0.0045 µmol
Na#MoO
%[2H
#O, 0.02 µmol FeCl
$[6H
#O and 0.02
µmol tartaric acid. Plants were watered with tap
water.
On 23 April 1997, after one season of growth in the
glasshouse, the plants were transferred into a garden
in 2.6-l pots (diameter 10 cm, height 30 cm)
containing quartz sand of 0.1–0.7 mm grain size.
The intact root-balls were carefully transferred from
the small pots into the large ones and separated from
the new substrate by a wide-meshed polyethylene
net (1 cm mesh size). This allowed us to distinguish
Co
St
EnMX
(a)
Co
St
En
MX
(b)
Co
St
En
MX
(c)
Fig. 1. Digital images showing segments of root cross-
sections stained with Toluidine Blue of three grass species,
(a) Dactylis glomerata, (b) Milium effusum and (c) Helicto-trichon pubescens. Co, cortex; En, endodermis; MX, large
meta xylem vessel ; St, stele. Bar, 50 µm.
the roots grown during the second growing season,
which were needed for the anatomical investigations.
Plants were arranged in a randomized block design,
with one replicate per species in each of the eight
blocks. Plants received the same amount of nutrients
during their second season as they received in the
glasshouse during the first season. Pots were placed
462 RESEARCH S. Wahl and P. Ryser
Table 2. Correlations between ecological, structural and anatomical characteristics among the studied 19 grass
species. Pearson correlation coefficients (R) and significance levels are shown, except for correlations with indicator
values for nutrients (N), light (L), and mowing tolerance (M), for which Spearman’s rank correlation coefficients
are shown ; correlations of relative growth rate (RGR) and axile root tissue density (TMDr) with root anatomical
traits are conducted with (a) and without (b) Milium effusum and Helictotrichon pubescens
Seedling RGR Height at
maturity
Axile root tissue
mass density (TMDr)
Root cross-
sectional
area
Plant traits a b a a b a
RGR — 0.23 ®0.68** ®0.03
TMDr
®0.68** 0.01 — 0.16
Leaf dry matter content ®0.66** ®0.25 0.74*** 0.16
Root CSA ®0.03 0.58** 0.16 —
Proportion of cell wall in stele CSA ®0.00 0.04 ®0.12 0.52* 0.49* ®0.01
Stele CSA ®0.38 ®0.47 0.52* 0.31 0.55* 0.78***
Stele cell size ®0.07 ®0.15 0.55* ®0.03 0.13 0.65**
Stele cell number ®0.44 ®0.54* 0.40 0.47* 0.76*** 0.60**
Proportion of stele in root CSA ®0.58* ®0.72** 0.31 0.37 0.71** 0.24
Total xylem CSA ®0.19 ®0.28 0.63** 0.19 0.44 0.83***
Mean xylem vessel CSA 0.20 0.43 0.52* ®0.04 ®0.32 0.55*
No. of xylem vessels ®0.41 ®0.63** 0.31 0.28 0.69** 0.57*
Proportion of total xylem in root CSA ®0.30 ®0.43 0.48* 0.19 0.52* 0.53*
Mean xylem vessel CSA relative to
root CSA
0.27 0.56* 0.02 ®0.30 ®0.66** ®0.23
No. of xylem vessels per unit root
CSA
®0.43 ®0.70** ®0.02 0.19 0.64** ®0.14
N-value 0.57* 0.50* ®0.55* 0.04
L-value 0.24 0.11 ®0.40 0.28
M-value 0.45 0.05 ®0.69** ®0.48
Significance levels : ***, P !0.001; **, P !0.01; *, P !0.05. The following data points are missing: RGR for Holcuslanatus, N-value and L-value for Anthoxanthum odoratum and M-value for Melica nutans, M. effusum and Poa nemoralis.CSA, cross-sectional area.
in shallow trays filled with water to 1–2 cm depth,
which kept the substrate moist and prevented
drought stress during the experiment.
Plants were harvested on 12 October 1997 and
separated into above-ground biomass and roots.
Only roots produced during the second growing
season (i.e. those which had grown through the net)
were used for further examinations. One axile root
per plant was randomly selected. We cut one piece of
c. 5 cm length at the proximal end of the root, c. 10
cm from the point of attachment at the node and
stored it in 70% ethanol. One half of this sample was
used for the anatomical studies, the other half for
determination of tissue mass density. For this
purpose, root diameter was measured using a light
microscope and the volume of the root piece was
calculated by assuming a cylindrical form and
multiplying the cross-sectional area by the length.
The root pieces were dried at 70°C for at least 24 h
and their dry mass was determined to a precision of
³2 µg using an analytical balance (MT 5 Mettler
Toledo GmbH, Greifensee, Switzerland). Root
tissue mass density was then calculated as dry mass
per volume (mg mm−$).
The root samples for anatomical examinations
were embedded in 2-hydroxyethylmethacrylate
(HEMA) also known as GMA (Igersheim &
Cichocki, 1996). Slices (4-µm thick) were cut with a
microtome. To contrast cell walls against the
background, the specimens were stained with Tol-
uidine Blue, which stains lignin blue-green and
cellulose purple or red-violet (Gerlach, 1984). Digi-
tal images of the cuts were obtained by light
microscopy at ¬100 and ¬200 using a video camera
(JVC TK 1280; Victory Company of Japan Ltd,
Yokohama, Japan) connected to a computer.
Image analysis on the computer allowed us to
determine the CSA of the whole root, as well as the
CSA of the stele, endodermis, cortex and individual
large xylem vessels (Fig. 1). These areas were
assessed by tracing the outlines of the structures with
a cursor.
Based on these measurements we calculated the
relative amounts of various tissues and structures per
total root CSA; the proportion of stele CSA, the
proportion of total xylem CSA, the mean CSA of
xylem vessels relative to root CSA and the number of
xylem vessels per unit CSA of the root (n mm−#).
Additionally, the proportion of cell wall in the
CSA of stele and endodermis was determined. As
cell walls generally contain less water than cyto-
plasm, this parameter can be assumed to be closely
related to the mass density of these tissues. For this
purpose segments of stele or endodermis were
randomly chosen (c. 10% of total CSA), avoiding
xylem elements which were measured separately.
RESEARCH Interspecific variation in root tissue structure 463
0.3
0.2
0.1
00 0.1 0.2 0.3
Root CSA (mm2)
TM
Dr (
mg
mm
–3) (e) 0.3
0.2
0.1
00 0.1 0.2 0.3
TMDr (mg mm–3)
DM
/FM
l (g
g–1
)
(f)
1
0.10 0.1 0.2 0.3
TMDr (mg mm–3)
Hei
gh
t (m
)
(c) 1
0.10 0.1 0.2 0.3
Root CSA (mm2)
Hei
gh
t (m
)(d)
0.3
0.2
0.1
00 0.1 0.2 0.3
TMDr (mg mm–3)
RG
R (
g g
–1 d
–1)
(a) 0.3
0.2
0.1
00 0.1 0.2 0.3
Root CSA (mm2)
RG
R (
g g
–1 d
–1)
(b)
Fig. 2. Relationships between axile root tissue mass density
(TMDr), cross-sectional area (CSA) of axile roots and
ecologically important plant traits among the grass species
studied. (a) Relative growth rate (RGR) and TMDr, (b)
RGR and axile root CSA, (c) plant height at maturity (log-
transformed) and TMDr, (d) plant height at maturity (log-
transformed) and axile root CSA, (e) TMDr
and axile
root CSA and (f) dry mass: fresh mass ratio in leaves
(DM}FMl) and TMD
r. n¯19 (c,d,e) and n¯18 (a,b,f).
Significant correlations (P !0.05) are shown with a
regression line.
The lumen of the cells was outlined and subtracted
from the total area of the segment. Area and
proportion of cell wall in stele and endodermis were
determined separately, but for further analysis we
used an average of these parameters, weighted with
their relative proportions in CSA. Although the
endodermis belongs ontogenetically to the cortex
(Von Guttenberg, 1968), it was treated as belonging
structurally to the stele. The number and the area of
individual stele cells were estimated from the chosen
segments. The proportion of cell wall in the cortex
was not determined because cell walls in the cortex
were too thin to be measured by light microscopy.
Image analysis was performed on a Macintosh
computer using the public domain NIH Image
program version 1.62 (developed at the US National
Institutes of Health, and available on the Internet).
Species’ height at maturity
Species’ height at maturity was determined on plants
grown in a garden for one full growing season. Seeds
of the species studied were sown on perlite on 16
March 1999. After germination in the last week of
March and the first week of April, the seedlings were
grown in 0.4-l pots on potting soil in a glasshouse
until 3 May when they were transferred to garden
beds outside in five randomized blocks, one replicate
plant per species in each block. The distance between
plants was 45 cm. To enhance growth, 3.5 g of slow-
release fertilizer (Osmocote Plus, Hauert Du$ nger,
Grossaffoltern, Switzerland) with 15% (of mass)
NH%NO
$, 11% P
#O
&, 13% K
#O, 2% MgO and trace
elements were added to the soil before planting. The
beds were weeded to reduce competition by other
plants and watered during dry periods.
An index of plant height was determined by image
analysis. On 19 August 1999, two plants of each
species were photographed from a distance of 1.5 m
using a digital camera (Dimage EX, Minolta Co.
Ltd, Osaka, Japan) against a white background with
a scale. A binary image of the whole plant was made
and plant height was defined as the height at which
95% of the pixels were summarized. To achieve a
normal distribution, the values were log-transformed
for the analysis.
Species’ RGR and leaf tissue mass density
Root anatomical characteristics of the species studied
were compared with seedling RGR, as this trait is
commonly assumed to reflect the ecological be-
haviour of a species with respect to resource avail-
ability and disturbance rate (Grime & Hunt, 1975;
Poorter & Garnier, 1999). Seeds were sown on
perlite in April 1999. Seedlings were planted be-
tween 29 April and 17 May in the garden in 1-l pots
(diameter 10 cm, height 12 cm) containing quartz
sand (0.1–0.7 mm grain size). Hoagland nutrient
solution (5 ml), diluted to 100 ml, was added twice a
week. The RGR was determined by logarithmic
regression using data of 27 plants per species
harvested in six harvests at intervals of 2 d starting
on 28 May. Size effect was taken into account by
calculating the RGR for all species at a plant size of
19 mg dry mass. Leaf tissue mass density was
expressed as leaf dry mass : fresh mass ratio. Leaf
fresh mass was measured after the plants had been
saturated overnight between wet paper towels in a
refrigerator. Dry mass was determined after drying
plants for at least 48 h at 70°C. As with RGR, leaf
tissue density was calculated for a plant size of 19
mg. Holcus lanatus was not included in this ex-
periment.
Statistical analysis
For the statistical analysis we used JMP version
3.2.2 (SAS Institute Inc. 1995, Cary, NC, USA).
The correlations between the various root char-
acteristics, and between root characteristics and the
ecological parameters RGR and species height, were
tested using Pearson correlation. Plant height was
464 RESEARCH S. Wahl and P. Ryser
0.3
0.2
0.1
00 0.6 1.2
Proportion of total xylemin root CSA (%)
TM
Dr (
mg
mm
–3)
(g)
1.8 0 0.2 0.4Mean xylem vessel CSArelative to root CSA(%)
(h)
0.6 0 10 20No. of xylem vessels
per unit CSA
(i)
300.8
MeHp
MeHpHp
Me
0.3
0.2
0.1
00 1200 2400Total xylem vessel CSA (µm2)
(d)
3600 0 500 1000Mean xylem vessel CSA (µm2)
(e)
0 2 4No. of xylem vessels
(f)
61500
Me
HpMe
HpHpMe
0.3
0.2
0.1
00 0.05
Stele CSA (mm2)
(a)
0.1 0 10 20Proportion of cell wall in stele
CSA (%)
(b)
0 50 60Proportion of stele in root
CSA (%)
(c)
7030
MeHpMe
HpHpMe
80
8
Fig. 3. Relationships between root tissue mass density (TMDr) and root anatomical traits among the 19 grass
species studied. TMDris plotted against (a) stele cross-sectional area (CSA), (b) proportion of stele in root
CSA, (c) proportion of cell wall in stele CSA, (d) total xylem CSA, (e) mean xylem vessel CSA, (f) number of
xylem vessels, (g) proportion of total xylem in root CSA, (h) mean xylem vessel area relative to root CSA and
(i) number of xylem vessels per unit root CSA. Significant correlations (P !0.05) are shown with a regression
line. For correlations which were significant only when Helictotrichon pubescens (Hp) and Milium effusum (Me)were omitted, nonsignificant regressions including these two species are shown with dashed lines and the two
species are indicated with open symbols.
log-transformed to obtain normal distribution of the
data. The relationships between root characteristics
and indicator values were tested with the non-
parameteric Spearman rank correlation test, as the
indicator values are categorical data.
Root tissue mass density, root cross-sectional area
and species ecology
Both of the two measured ecological traits, RGR and
height at maturity, correlated with Ellenberg N
indicator values (Table 2). However, there was no
significant correlation between RGR and height at
maturity for the species studied, indicating an
independence of these two characteristics among
grasses. Furthermore, these two ecological charac-
teristics were themselves correlated with different
root traits. RGR correlated negatively with TMDr,
but not with root CSA (Fig. 2a,b, Table 2). Plant
height did not correlate with TMDr, but correlated
positively with root CSA (Fig. 2c,d). The root traits
TMDr
and CSA did not correlate with each other
(Fig. 2e). The TMDrcorrelated positively with the
corresponding above-ground parameter, the relative
RESEARCH Interspecific variation in root tissue structure 465
Table 3. Multiple regression between tissue mass density of roots (TMDr)
as dependent variable and proportion of stele in total root cross-sectional
area (CSA) and proportion of cell wall in stele CSA as independent
variables
Standard regression coefficient
for independent variables
Dependent variable n
Proportion of
stele in root
CSA
Proportion of
cell wall in
stele CSA R#
1. TMD#
19 0.46* 0.59** 0.42**
2. TMDr
17 0.72*** 0.50** 0.73***
Standardized regression coefficients, coefficients of determination (R#) and
levels of significance are given. 1. Regression with all species (n¯19), 2.
Regression without H. pubescens and M. effusum (n¯17). Significance levels :
***, P !0.001; **, P !0.01; *, P !0.05.
dry matter content of leaves (DM}FMl) (Fig. 2f,
Table 2). TMDr
correlated negatively with the
indicator values for nutrients and for tolerance to
mowing, but not with the indicator value for light.
Root CSA did not significantly correlate with any of
the indicator values (Table 2). However, there was a
tendency to a negative correlation between root CSA
and tolerance to mowing (P¯0.057).
Anatomical characteristics underlying root tissue
mass density
The tissue mass density of a root is determined by
the amount of dry matter per unit volume of the
different tissue types in the root, and by the relative
proportions of those various tissue types. For the
species studied, TMDrcorrelated positively with the
proportion of cell wall in the stele (Fig. 3), a
parameter that can be assumed to contribute to
variation in the tissue density in the stele. The
proportion of cell wall in the stele did not correlate
with cell size in the stele (R#¯0.016, P¯0.60, n¯19), indicating that its interspecific variation is
caused by variation in cell wall thickness.
There was a tendency to a positive relationship
between the proportion of stele in root CSA and
TMDr, but the correlation was not significant due to
two outlying species, Helictotrichon pubescens and
Milium effusum. These species had very high tissue
mass densities for their relatively small proportions
of stele (Fig. 3, Table 2), which could be explained
in terms of dense cortex; in particular H. pubescens
had very thick cortex cell walls and also thick cell
walls in the stele (Fig. 1). These two species were
consistently outliers in all correlations that included
stele dimensions. As there was a seemingly close
relationship between tissue density and stele dimen-
sions among the other 17 species, we conducted the
statistical analyses twice, with and without H.
pubescens and M. effusum.
Table 4. Coefficient of variation (CV) in root tissue
mass density (TMDr), proportion of cell wall in stele
cross-sectional area (CSA) and proportion of stele in
total root CSA; (1) CV calculated with all species
(N¯19), (2) CV calculated without Helictotrichon
pubescens and Milium effusum (n¯17)
Root traits n CV(%)
TMDr(1) 19 24.2
TMDr(2) 17 21.0
Prop. cell wall in stele CSA (1) 19 7.3
Prop. cell wall in stele CSA (2) 17 7.2
Proportion stele in root CSA (1) 19 29.4
Proportion stele in root CSA (2) 17 28.4
In a multiple regression both the proportion of cell
wall in the stele and proportion of stele in root CSA
were significantly associated with TMDr
and to-
gether they explained 42% of the variation in this
correlation. If H. pubescens and M. effusum were
excluded from the calculation the regression ex-
plained 73% of the variation (Table 3). The
coefficient of variation for the proportion of stele in
root CSA was similar to that for TMDr, whereas the
amount of interspecific variation in the proportion of
cell wall in the stele CSA was clearly less (Table 4).
A high TMDr
was associated with a large stele
CSA and a large number of stele cells, H. pubescens
and M. effusum also being outliers in these relation-
ships. By contrast, size of stele cells was not
associated with TMDr
(Table 2). Similar relation-
ships could also be seen in the correlation of TMDr
with xylem traits. Although TMDrcorrelated posi-
tively with the number of xylem vessels, it did not
correlate with total xylem area or with mean xylem
vessel area. However, if the xylem characteristics
were expressed per unit root CSA, they correlated
with root tissue mass density: the total xylem CSA
and the number of xylem vessels positively, and the
466
RESEA
RC
HS
.W
ahland
P.R
yser
Table 5. Root anatomical characteristics for the 19 grass species studied, mean values and standard errors are given in parentheses
Species n
Root tissue
mass
density
(mg mm−$)
Root cross-
sectional
area
(mm#)
Cell wall
in stele
CSA (%)
Stele
CSA
(mm#)
Stele cell
size
(µm#)
Stele cell
number
(n)
Stele CSA
in total
root CSA
(%)
Total
xylem
CSA
(µm#)
Mean
xylem
vessel CSA
(µm#)
No.
xylem
vessels
(n)
Total
xylem in
root CSA
(%)
Mean xylem
vessel CSA
relative to
root CSA (%)
No. xylem
vessels per
unit root CSA
(n mm−#)
AR 8 0.125 0.21 58.7 0.024 77.7 167 11.7 1733 1022 2.00 0.77 0.51 12.13
(0.004) (0.04) (1.82) (0.004) (6.60) (27.3) (0.87) (385) (175.0) (0.42) (0.05) (0.09) (4.50)
AO 9 0.131 0.11 60.6 0.016 77.4 125 14.9 659 479 1.44 0.61 0.46 13.82
(0.003) (0.01) (1.79) (0.002) (5.86) (9.99) (0.74) (102) (50.1) (0.24) (0.05) (0.05) (2.55)
AE 8 0.137 0.23 57.7 0.037 112.5 186 16.3 2472 869 2.88 1.11 0.43 13.25
(0.004) (0.03) (2.63) (0.005) (10.6) (19.9) (0.73) (350) (90.0) (0.40) (0.06) (0.06) (1.16)
BP 6 0.237 0.21 63.9 0.042 62.1 426 20.4 3479 731 4.83 1.61 0.38 24.04
(0.012) (0.03) (2.07) (0.006) (6.46) (58.4) (1.45) (787) (100.5) (0.79) (0.15) (0.06) (4.50)
BM 8 0.190 0.14 64.3 0.023 71.8 197 16.9 1123 361 3.38 0.77 0.28 24.10
(0.031) (0.02) (1.86) (0.002) (4.74) (19.6) (0.54) (261) (70.5) (0.65) (0.10) (0.07) (4.52)
BE 8 0.172 0.27 55.5 0.058 109.8 363 21.9 3491 509 6.63 1.25 0.18 26.37
(0.022) (0.03) (2.30) (0.006) (11.04) (31.4) (1.31) (605) (75.6) (0.50) (0.11) (0.02) (2.50)
DG 8 0.154 0.26 56.7 0.039 94.7 267 15.1 3371 860 3.75 1.23 0.30 14.85
(0.020) (0.05) (2.46) (0.007) (8.42) (40.6) (0.58) (893) (104.7) (0.65) (0.09) (0.05) (1.59)
DC 8 0.155 0.20 68.1 0.019 64.4 154 9.6 1181 728 1.75 0.61 0.43 9.66
(0.012) (0.03) (2.36) (0.003) (9.03) (22.7) (0.64) (331) (83.0) (0.53) (0.07) (0.07) (2.21)
FO 8 0.168 0.17 63.2 0.025 82.0 206 15.0 1159 370 3.38 0.63 0.23 22.4
(0.006) (0.031) (2.18) (0.004) (10.2) (32.6) (0.67) (381) (127.5) (0.46) (0.05) (0.05) (2.93)
HL 8 0.126 0.176 52.3 0.018 55.8 190 11.7 1362 960 1.50 0.85 0.65 12.1
(0.008) (0.053) (2.18) (0.004) (5.29) (37.4) (1.10) (312) (225.3) (0.27) (0.06) (0.09) (2.04)
HP 7 0.230 0.180 67.0 0.015 55.9 141 8.6 653 646 1.14 0.35 0.34 10.1
(0.011) (0.041) (1.53) (0.003) (5.30) (27.0) (0.79) (151) (154.7) (0.14) (0.03) (0.06) (4.02)
LP 9 0.118 0.160 61.3 0.019 78.7 162 12.0 952 891 1.22 0.57 0.53 8.63
(0.007) (0.018) (3.63) (0.003) (4.81) (18.1) (1.0) (167) (183.3) (0.22) (0.05) (0.09) (1.77)
MN 8 0.185 0.157 57.5 0.040 85.9 284 25.7 1942 502 4.38 1.33 0.38 29.9
(0.004) (0.023) (1.73) (0.005) (7.87) (42.8) (1.23) (298) (96.0) (0.60) (0.10) (0.10) (4.08)
ME 7 0.245 0.157 60.8 0.023 70.2 184 15.3 1197 999 1.14 0.72 0.64 9.46
(0.017) (0.030) (1.89) (0.004) (8.79) (34.0) (0.8) (305) (167.3) (0.14) (0.06) (0.07) (2.39)
PA 8 0.151 0.109 61.1 0.012 60.7 114 11.6 516 399 1.50 0.50 0.36 16.8
(0.009) (0.015) (2.50) (0.001) (5.42) (10.4) (1.0) (98) (78.4) (0.38) (0.07) (0.05) (5.04)
PN 7 0.160 0.164 59.3 0.027 68.1 252 17.0 2090 559 3.86 1.33 0.35 26.2
(0.023) (0.021) (2.51) (0.003) (8.21) (22.8) (1.38) (340) (80.5) (0.55) (0.15) (0.05) (5.55)
PP 8 0.156 0.092 61.3 0.013 62.6 115 13.5 628 323 1.88 0.62 0.35 27.2
(0.005) (0.021) (3.16) (0.003) (6.34) (17.1) (0.66) (204) (69.7) (0.23) (0.06) (0.05) (6.22)
PT 8 0.113 0.072 51.6 0.008 44.0 125 11.5 523 374 1.38 0.70 0.57 20.2
(0.006) (0.011) (3.37) (0.001) (4.79) (29.8) (0.76) (122) (59.3) (0.26) (0.07) (0.11) (2.43)
TF 7 0.207 0.157 62.9 0.032 86.9 282 21.0 1252 431 3.43 0.82 0.28 22.7
(0.034) (0.015) (2.64) (0.002) (11.48) (60.1) (2.32) (124) (89.4) (0.53) (0.05) (0.05) (3.85)
AR, Agropyron repens ; AO, Anthoxanthum odoratum ; AE, Arrenatherum elatius ; BP, Brachypodium pinnatum ; BM, Briza media ; BE, Bromus erectus ; DG, Dactylis glomerata ; DC,
Deschampsia caespitosa ; FO, Festuca ovina ; HL, Holcus lanatus ; HP, Helictotrichon pubescens ; LP, Lolium perenne ; MN, Melica nutans ; ME, Milium effusum ; PA, Poa angustifolia ;
PN, Poa nemoralis ; PP, Poa pratensis ; PT, Poa trivialis ; TF, Trisetum flavescens.
RESEARCH Interspecific variation in root tissue structure 467
0.3
0.2
0.1
00 0.6 1.2
Proportion of total xylemin root CSA (%)
RG
R (
g g
–1 d
–1)
(g)
1.8 0 0.2 0.4Mean xylem vessel CSArelative to root CSA(%)
(h)
0.6 0 10 20No. of xylem vessels
per unit CSA
(i)
300.8
Me
Hp
Me
HpHp
Me
0.3
0.2
0.1
00 1200 2400Total xylem vessel CSA (µm2)
(d)
3600 0 500 1000Mean xylem vessel CSA (µm2)
(e)
0 2 4No. of xylem vessels
(f)
61500
Me
Hp
Me
HpHp
Me
0.3
0.2
0.1
00 0.05
Stele CSA (mm2)
(a)
0.1 0 10 20Proportion of cell wall in stele
CSA (%)
(b)
0 50 60Proportion of stele in root
CSA (%)
(c)
7030
Me
Hp
Me
HpHp
Me
80
8
Fig. 4. Relative growth rate (RGR) and root anatomical traits among 18 grass species. RGR is plotted against
(a) stele cross-sectional area (CSA), (b) proportion of stele in root CSA, (c) proportion of cell wall in stele CSA,
(d) total xylem CSA, (e) mean xylem vessel CSA, (f) number of xylem vessels, (g) proportion of total xylem
in root CSA, (h) mean xylem vessel CSA relative to root CSA and (i) number of xylem vessels per unit root
CSA. Significant correlations (P !0.05) are shown with a regression line. For correlations which were
significant only when Helictotrichon pubescens (Hp) and Milium effusum (Me) were omitted, nonsignificant
regressions including these two species are shown with dashed lines and the two species are indicated with open
symbols.
mean vessel CSA negatively (Fig. 3, Table 2). These
relationships were significant (P !0.05) only if
H. pubescens and M. effusum were excluded from
the analysis (Fig. 3, Table 2). These two species had
exceptionally few vessels in relation to their high
TMDr(Table 5).
RGR and anatomical traits
RGR correlated only with those anatomical traits
which also correlated with TMDr. With the ex-
ception of the total number of xylem vessels and the
number of cells in the stele, RGR only correlated
with traits expressed per unit root CSA (Fig. 4).
RGR correlated negatively with the proportion of
stele in root CSA, mean xylem vessel CSA relative to
root CSA and the number of xylem vessels per unit
root CSA, but was independent of the proportion of
cell wall in the stele CSA, stele CSA, mean xylem
vessel CSA and total xylem CSA. However, RGR
did not correlate with the proportion of xylem in root
CSA. Species with a high RGR had fewer cells in the
stele and also fewer xylem vessels. Once again M.
effusum was an outlier in these relationships and
three of the correlations were significant only if this
species was removed from the dataset. The total
468 RESEARCH S. Wahl and P. Ryser
1
0.10 0.6 1.2
Proportion of total xylemin root CSA (%)
Hei
gh
t (m
)
(g)
1.8 0 0.2 0.4Mean xylem vessel CSArelative to root CSA(%)
(h)
0.6 0 10 20No. of xylem vessels
per unit CSA
(i)
300.8
1
0.10 1200 2400Total xylem vessel CSA (µm2)
(d)
3600 0 500 1000Mean xylem vessel CSA (µm2)
(e)
0 2 4No. of xylem vessels
(f)
61500
1
0.10 0.05
Stele CSA (mm2)
(a)
0.1 0 10 20Proportion of cell wall in stele
CSA (%)
(b)
0 50 60Proportion of stele in root
CSA (%)
(c)
7030 80
8
Fig. 5. Relationships between plant height at maturity and root anatomical traits among 19 grass species. Plant
height at maturity (log-transformed) is plotted against (a) stele cross-sectional area (CSA), (b) proportion of
stele in root CSA, (c) proportion of cell wall in stele CSA, (d) total xylem CSA, (e) mean xylem vessel CSA,
(f) number of xylem vessels, (g) proportion of total xylem in root CSA, (h) mean xylem vessel area relative to
root CSA and (i) number of xylem vessels per unit root CSA. Significant correlations (P !0.05) are shown with
a regression line.
xylem CSA and the mean xylem vessel CSA were
not significantly correlated with RGR (Fig. 4,
Table 2).
Anatomical characteristics associated with axile root
cross-sectional area
As shown in Table 2, root CSA correlated with the
CSA of the stele, but not with the proportion of stele
in the root CSA or with the proportion of cell wall in
the stele CSA. Root CSA was positively correlated
with the size and number of stele cells and with the
total xylem CSA, mean xylem vessel CSA, and
number of xylem vessels. The only proportional trait
related to root CSA was the proportion of xylem
(Table 2).
Plant height and root characteristics
Plant height was not correlated with any traits that
correlated significantly with RGR (Figs 4, 5, Table
2) and also, in most cases, not with traits that
correlated with TMDr. The significant anatomical
correlations that plant height manifested were simi-
lar to those for the CSA of axile roots (Table 2).
Plant height correlated positively with the stele
CSA, stele cell size, total xylem CSA and mean
xylem vessel CSA (Fig. 5). The only proportional
parameter plant height was significantly correlated
RESEARCH Interspecific variation in root tissue structure 469
with was the proportion of xylem in root CSA. Plant
height was not correlated with the proportion of cell
wall in the stele, with the proportion of stele in root
CSA, with mean xylem vessel CSA relative to root
CSA or with the number of xylem vessels (Fig. 5,
Table 2).
Root tissue mass density and plant ecology
The results show the close relationship between
below-ground and above-ground tissue structure
and the species’ ecology. Interspecific variation in
TMDrof axile roots among ecologically contrasting
grasses is associated with the growth behaviour of
these species, and correlates with variation in
proportional leaf dry matter content (DM}FMl), an
estimator for tissue mass density of leaves. A
relationship between leaf tissue mass density and
species’ growth behaviour and ecology has already
been shown (Garnier, 1992; Ryser, 1996; Wilson et
al., 1999). In species with a low tissue mass density
the low costs of dry matter for construction of a unit
volume of leaves and roots enable the simultaneous
development of a large leaf area and an extensive root
system, resulting in high acquisition capacities both
for above-ground and below-ground resources. Low
root tissue mass density is thus a characteristic of
fast-growing species from nutrient-rich habitats, as
is also low leaf tissue mass density.
Root tissue mass density did not show any
significant correlations with plant height, indicating
that this trait is subject to a different set of constraints
from those influencing seedling RGR. Even among
herbaceous species, tall plants have to invest more
than small plants in supporting structures with a
higher proportion of lignified tissue in their stems
(Givnish, 1995; Niklas, 1995). However this in-
vestment is not reflected in tissue mass density of
roots or in the proportion of stele in root CSA.
Anatomical traits underlying TMDr
Of the anatomical traits measured, only the pro-
portion of cell wall in the stele CSA explained a
significant proportion of the interspecific variation in
root tissue mass density among all species studied.
This was not a result of variation in cell size, but only
of variation in cell wall thickness. We have no
general data about cell wall thickness in the cortex,
but the fact that H. pubescens had both a high root
tissue mass density and thick cortex cell walls
suggests that the cell wall thickness in the cortex also
contributes to the interspecific variation in root
tissue mass density. However, this contribution
might be reduced because of the lower density of the
cell walls themselves. Nagahashi et al. (1994)
discovered that the density of cortex cell walls is
lower than that of stelar cell walls for corn, carrot
and pea. It remains an open question whether
interspecific variation in cell wall density contributes
to the variation in TMDr.
Variation in the proportion of tissues with dif-
ferent densities has been found to contribute to
interspecific variation in leaf tissue mass density or
specific leaf mass (Garnier & Laurent, 1994; Van
Arendonk & Poorter, 1994). This was also the case
for root tissue mass density among most of the
species studied, a high proportion of stele being
associated with a high root tissue mass density.
However, this relationship was not general for all
species owing to the outlying position of two of the
species, H. pubescens and M. effusum. These two
species had a high tissue mass density but only a low
proportion of stele. Several other anatomical charac-
teristics in these species, such as stele CSA, stele cell
number, number of xylem vessels, proportion of
xylem in root CSA and mean xylem vessel CSA
relative to root CSA were similar to species with a
low tissue mass density. The behaviour of these two
species shows that there can be more than one
explanation for high tissue mass density, but it is not
clear whether the special character combination in
these two species has the same functional reasons for
both of them. There is no obvious ecological or
phylogenetic similarity between these two species.
The extent of interspecific variation in the pro-
portion of stele was similar to that in root tissue mass
density, but variability in the proportion of stele cell
walls was considerably less. This indicates that the
proportion of stele might better explain the range of
interspecific variation in root tissue mass density
than the proportion of cell wall in the stele, even
though the latter showed a more consistent re-
lationship among the species studied.
The ecological importance of anatomical traits
The dichotomy in the association of root anatomical
traits with the ecological characteristics of the species
was striking. The anatomical traits were either
associated with the RGR or with the plant height.
This dichotomy supports the postulate of Ryser
(1998) that root length is constrained by tissue mass
density when interspecific variation with respect to
RGR is taken into account, and by root diameter
when interspecific variation with respect to plant
height is considered. Root characteristics associated
with plant height are those related to the CSA,
important for the hydraulic conductance of axile
roots. Large plants have thicker axile roots with large
cells and a large stele CSA, large total xylem CSA
and large mean xylem vessel CSA. In particular
xylem vessel area has a major influence on hydraulic
conductance of mature roots as, according to the law
of Hagen-Poiseuille, the transport capacity of a pipe
increases with the fourth power of the pipe diameter.
470 RESEARCH S. Wahl and P. Ryser
Mean vessel CSA correlates with root diameter, as
has been demonstrated for intraspecific variation, for
example, in maize (Varney et al., 1991). Our data
show that root diameter is also in an interspecific
comparison related to potential hydraulic conduc-
tance.
Interspecific variation in RGR is generally related
to resource availability in characteristic habitats of
species, the slow growth of a stress-tolerant plant
being a result of investments in robust tissue with a
long life span. This was also reflected in root
anatomy. The anatomical traits which correlated
with RGR are those which are generally assumed to
be associated with robustness and resistance against
environmental hazards, but not with respect to
hydraulic conductance. However, relative to root
CSA, fast-growing species had a larger mean vessel
CSA than the slow-growing ones, indicating a need
for a high transport capacity in these species relative
to their size. This confirms findings for stems of
woody species (Castro-Dı!ez et al., 1998). Fast-
growing species had fewer vessels than slow-growing
ones, but CSA of the vessels is more important for
hydraulic conductance than their number (McCully
& Canny, 1988).
The higher number of vessels with a relatively
smaller diameter per vessel per root CSA in slow-
growing species might reflect a higher protection of
the vessel functioning. Narrow vessels have a lower
volume : surface ratio, which is known to be
associated with a lower probability for embolisms,
induced by freezing and thawing and pathogens.
The significance of conduit CSA for the probability
of embolism caused by drought stress has been
questioned (Sperry, 1995), but indications of a
higher cavitation frequency for xylem conduits of
large diameter have been found (Salleo & Logullo,
1986; Linton et al., 1998). It has also been shown
that narrow vessels refill more rapidly than wide
ones and thus spend less time empty (McCully et al.,
1998).
The exceptional trait combination in M. effusum of
slow growth and a low number of large vessels might
be related to the environmental conditions in its
characteristic habitat, which is woodland on rela-
tively moist soils. Under such conditions drought
stress is unlikely to occur, but productivity is limited
by shadiness.
The high proportion of stele in the roots of slow-
growing species is an expression of the robustness of
such roots. The concentration of the dense, scler-
enchymatic stele in the centre of the root results in a
high tensile strength. Stele and cortex together build
a composite material and ensure optimal biomech-
anical stability (Haberlandt, 1918). Thus the higher
proportion of stele in slow-growing species might
result in a more rigid single root cord for a given
diameter, protecting the root against mechanical
hazards.
What is the ecological significance of the large
proportion of cortex in the fast-growing species? A
larger cortex might ensure a better supply to the root
of oxygen via intercellular air spaces and aerenchyma
(Jackson & Armstrong, 1999) as well as provide a
larger store for minerals, proteins or lipids (Von
Guttenberg, 1968; Chino, 1981; Luxova, 1992). It
has also been suggested that the cortex is important
for recycling of phosphorus (Robinson, 1990).
However, an association between interspecific vari-
ation in these functions and in RGR is unknown.
Cortical tissue is also important as an interface
between arbuscular mycorrhizal fungi and plant
(Smith & Smith, 1997), but general differences
between fast-growing and slow-growing species with
respect to relative importance of mycorrhizal sym-
biosis have so far not been shown (Koide, 1991;
Smith & Smith, 1996). The function of the relatively
larger cortex in fast-growing species might simply be
to increase the root surface area and absorption rate
per root length.
In conclusion, our data clearly show that ana-
tomical characteristics of plant roots are an important
aspect of the trade-offs which determine plant
characteristics at the whole-plant level and the
ecological behaviour of a species. Anatomical struc-
tures which protect root functioning result in high
tissue density and constrain RGR, whereas ana-
tomical structures related to hydraulic conductance
are associated with plant height. Although clear
relationships between plant traits at the anatomical
and whole-plant levels can be found, individual
species might attain a similar higher-level trait
through different lower-level characteristics.
We thank Anton Igersheim and Peter Endress from
University of Zu$ rich for advice in anatomical work and for
facilities, Felix Wa$ ckers for use of equipment; Peter J.
Edwards, Johannes Kollmann, Dieter Ramseier, Cathy
Bayliss, David Robinson and an anonymous reviewer for
critical comments on earlier versions of the manuscript.
Stefan Wahl was financially supported by the Swiss
National Science Foundation (Grant 31-43392.95).
Boot P, Mensink M. 1990. Size and morphology of root systems
of perennial grasses from contrasting habitats as affected by
nitrogen supply. Plant and Soil 129 : 291–299.
Briemle G, Ellenberg H. 1994. Zur Mahdvertra$ glichkeit von
Gru$ nlandpflanzen. Mo$ glichkeiten der praktischen Anwendung
von Zeigerwerten. Natur und Landschaft 4 : 139–147.
Castro-Dı!ez P, Puyravaud JP, Cornelissen JHC, Villar-Salvador P. 1998. Stem anatomy and relative growth rate in
seedlings of a wide range of woody plant species and types.
Oecologia 116 : 57–66.
Chapin FS III, Bret-Harte MS, Hobbie SE, Zhong H. 1996.Plant functional types as predictors of transient responses of
arctic vegetation to global change. Journal of Vegetation Science
7 : 347–358.
Chino M. 1981. Species differences in calcium and potassium
RESEARCH Interspecific variation in root tissue structure 471
distributions within plant roots. Soil Science and Plant Nutrition
27 : 487–504.
Coley PD. 1983. Herbivory and defensive characteristics of tree
species in a lowland tropical forest. Ecological Monographs 53 :
209–233.
Cornelissen JHC, Pe! rez-Harguindeguy N, Diaz S, Grime
JP, Marzano B, Cabido M, Vendramini F, Cerabolini B.
1999. Leaf structure and defence control litter decomposition
rate across species and life-forms in regional floras on two
continents. New Phytologist 143 : 191–200.
Easson DL, Pickles SJ, White EM. 1995. A study of the tensile
force required to pull wheat roots from soil. Annals of Applied
Biology 127 : 363–373.
Eissenstat DM, Achor DS. 1999. Anatomical characteristics of
roots of citrus rootstocks that vary in specific root length. New
Phytologist 141 : 309–321.
Ellenberg H, Weber HE, Du$ ll R, Wirth V, Werner W,
Paulißen D. 1992. Zeigerwerte von Pflanzen in Mitteleuropa.
2nd edn. Scripta Geobotanica 18 : 1–258.
Garnier E. 1992. Growth analysis of congeneric annual and
perennial grass species. Journal of Ecology 80 : 665–675.
Garnier E, Laurent G. 1994. Leaf anatomy, specific mass and
water content in congeneric annual and perennial grass species.
New Phytologist 128 : 725–736.
Gerlach D. 1984. Botanische Mikrotechnik. Stuttgart, Germany:
Georg Thieme Verlag.
Givnish TJ. 1995. Plant stems: biomechanical adaptation for
energy capture and influence on species distributions. In:
Gartner BL, ed. Plant stems: physiology and functional mor-
phology. New York, USA: Academic Press, 3–49.
Grime JP, Hunt R. 1975. Relative growth-rate : its range and
adaptive significance in a local flora. Journal of Ecology 63 :
393–422.
Grime JP, Thompson K, Hunt R, Hodgson JG, Cornelissen
JHC, Rorison IH, Hendry GAF, Ashenden TW, Askew AP,
Band SR, Booth RE, Bossard CC, Campbell BD, Cooper
JEL, Davison AW, Gupta PL, Hall W, Hand DW, Hannah
MA, Hillier SH, Hodkinson DJ, Jalili A, Liu Z, Mackey
JML, Matthews N, Mowforth MA, Neal AM, Reader RJ,
Reiling K, Ross-Fraser W, Spencer RE, Sutton F, Tasker
DE, Thorpe PC, Whitehouse J. 1997. Integrated screening
validates primary axes of specialisation in plants. Oikos 79 :
259–281.
Haberlandt G. 1918. Physiologische Pflanzenanatomie, 5th edn.
Leipzig, Germany: Verlag von Wilhelm Engelmann.
Igersheim A, Cichocki O. 1996. A simple method for microtome
sectioning of prehistoric charcoal specimens, embedded in 2-
hydroxyethyl methacrylate (HEMA). Review of Palaeobotany
and Palynology 92 : 389–393.
Jackson MB, Armstrong W. 1999. Formation of aerenchyma
and the processes of plant ventilation in relation to soil flooding
and submergence. Plant Biology 1 : 274–287.
Koide RT. 1991. Nutrient supply, nutrient demand and plant
response to mycorrhizal infection. New Phytologist 117 :
365–386.
Lambers H, Chapin FS III, Pons TL. 1998. Plant physiological
ecology. New York, USA: Springer-Verlag.
Lauber K, Wagner G. 1996. Flora Helvetica. Bern, Switzerland:
Paul Haupt.
Linton MJ, Sperry JS, Williams DG. 1998. Limits to water
transport in Juniperus osteosperma and Pinus edulis : implications
for drought tolerance and regulation of transpiration. Functional
Ecology 12 : 906–911.
Luxova M. 1992. Root structure. Primary cortex. In: Kolek J,
Kozinka V, eds. Physiology of plant root system. Dordrecht, The
Netherlands: Kluwer Academic Publishers, 52–59.
Mapfumo E, Aspinall D, Hancock T, Sedgley M. 1993. Xylem
development in relation to water-uptake by roots of grapevine
(Vitis vinifera L). New Phytologist 125 : 93–99.
McCully ME, Canny MJ. 1988. Pathways and processes of water
and nutrient movement in roots. Plant and Soil 111 : 159–170.
McCully ME, Huang CX, Ling LEC. 1998. Daily embolism and
refilling of xylem vessels in the roots of field-grown maize. New
Phytologist 138 : 327–342.
Meerts P, Garnier E. 1996. Variation in relative growth rate and
its components in the annual Polygonum aviculare in relation to
habitat disturbance and seed size. Oecologia 108 : 438–445.
Nagahashi G, Abney GD, Uknalis J. 1994. Separation of
vascular cell walls from cortical cell walls of plant roots.
Protoplasma 178 : 129–137.
Niklas KJ. 1995. Plant height and the properties of some
herbaceous stems. Annals of Botany 75 : 133–142.
Poorter H, Garnier E. 1999. Ecological significance of inherent
variation in relative growth rate and its components. In:
Pugnaire FI, Valladares F, eds. Handbook of functional plant
ecology. New York, USA: Marcel Dekker, 81–120.
Reich PB, Uhl C, Walters MB, Ellsworth DS. 1991. Leaf
lifespan as a determinant of leaf structure and function among
23 amazonian tree species. Oecologia 86 : 16–24.
Reich PB, Walters MB, Ellsworth DS. 1997. From tropics to
tundra: global convergence in plant functioning. Proceedings of
the National Academy of Sciences, USA 94 : 13730–13734.
Robinson D. 1990. Phosphorus availability and cortical sen-
escence in cereal roots. Journal of Theoretical Biology 145 :
257–265.
Ryser P. 1996. The importance of tissue density for growth and
life span of leaves and roots : a comparison of five ecologically
contrasting grasses. Functional Ecology 10 : 717–723.
Ryser P. 1998. Intra- and interspecific variation in root length,
root turnover and the underlying parameters. In: Lambers H,
Poorter H, Van Vuuren MMI, eds. Inherent variation in plant
growth. Physiological mechanisms and ecological consequences.
Leiden, The Netherlands: Backhuys Publishers, 441–465.
Ryser P, Aeschlimann U. 1999. Proportional dry-mass content
as an underlying trait for the variation in relative growth rate
among 22 Eurasian populations of Dactylis glomerata s.l.
Functional Ecology 13 : 473–482.
Ryser P, Lambers H. 1995. Root and leaf attributes accounting
for the performance of fast- and slow-growing grasses at
different nutrient supply. Plant and Soil 170 : 251–265.
Ryser P, Urbas P. 2000. Ecological significance of leaf lifespan
among Central European grass species. Oikos 91. (In press.)
Salleo S, Logullo MA. 1986. Xylem cavitation in nodes and
internodes of whole Chorisia insignis Hb Et K plants subjected
to water-stress - relations between xylem conduit size and
cavitation. Annals of Botany 58 : 431–441.
Schla$ pfer B, Ryser P. 1996. Leaf and root turnover of three
ecologically contrasting grass species in relation to their per-
formance along a productivity gradient. Oikos 75 : 398–406.
Smith FA, Smith SE. 1996. Mutualism and parasitism: diversity
in function and structure in the ‘arbuscular’ (VA) mycorrhizal
symbiosis. Advances in Botanical Research 22 : 1–43.
Smith FA, Smith SE. 1997. Structural diversity in (vesicular)–
arbuscular mycorrhizal symbioses. New Phytologist 137 :
373–388.
Sperry JS. 1995. Limitations on stem water transport and their
consequences. In: Gartner BL, ed. Plant stems : physiology and
functional morphology. New York, USA: Academic Press,
105–124.
Van Arendonk JJCM, Poorter H. 1994. The chemical com-
position and anatomical structure of leaves of grass species
differing in relative growth rate. Plant, Cell & Environment 17 :
963–970.
Varney GT, Canny MJ, Wang XL, McCully ME. 1991. The
branch roots of Zea I. First order branches, their number, sizes
and division into classes. Annals of Botany 67 : 357–364.
Von Guttenberg H. 1968. Der prima$ re Bau der Angiospermen-
wurzel. Handbuch der Pflanzenanatomie, vol. VIII, 2nd edn.
Berlin, Germany: Gebru$ der Borntraeger.
Westoby M. 1998. A leaf-height-seed (LHS) plant ecology
strategy scheme. Plant and Soil 199 : 213–227.
Wilson PJ, Thompson K, Hodgson JG. 1999. Specific leaf area
and leaf dry matter content as alternative predictors of plant
strategies. New Phytologist 143 : 155–162.