Freshwater Biology (2008) 53, 509–520
doi:10.1111/j.1365-2427.2007.01916.x
Does the Redfield ratio infer nutrient limitation in the
macroalga Spirogyra fluviatilis?
S . A . T O W N S E N D * , J . H . S C H U L T †, M . M . D O U G L A S † A N D S . S K I N N E R ‡
*Department of Natural Resources, Environment and the Arts, Darwin, Northern Territory, Australia
†
Charles Darwin University, Darwin, Northern Territory, Australia
‡
Royal Botanic Gardens of Sydney, Sydney, Australia
SUMMARY
1. The cellular nutrient contents of microalgae, when growing at or approaching maximum
rates, approximate the Redfield C : N : P (molar) ratio of 106 : 16 : 1. Deviations from this
optimal ratio can be used to infer nutrient limitation of microalgal growth. However, this
ratio may not be applicable to macroalgae, which are distinguished from microalgae by
forming a thallus that is a discrete structure visible to the naked eye. The utility of the
Redfield ratio to infer nutrient limitation of the growth of macroalgae was tested for
Spirogyra fluviatilis in a field experiment conducted in tropical Australia.
2. The optimal cellular C : N : P ratio for S. fluvialitis was estimated by means of in situ
nutrient addition. This was compared with S. fluvialitis cellular ratios determined from
eight sites with a wide range of soluble N concentrations (<1–90 lg L)1), a smaller range of
soluble P concentrations (5–12 lg L)1), and soluble molar N : P ratios of 0.11– 27.
3. Spirogyra fluviatilis had an optimal molar C : N : P ratio of 1800 : 87 : 1 which differs
substantially from the Redfield ratio, and suggests that the latter ratio is not applicable to
this macroalga. Concentrations of N and P in the river deviated from the optimal N : P
ratio of 87 : 1, inferring nutrient limitation of growth.
4. C : P and C : N ratios of S. fluviatilis varied in accordance with general stoichiometric
relationships for autotrophs under nutrient limitation of growth. Ratios of C : P and C : N
increased, respectively, with increased severity of P- and N-limitation. Additionally, C : P
ratios increased with increased N : P ratios, whilst the C : N ratio increased with
decreased N : P ratios. The C : N molar ratio however was an insensitive indicator of
nutrient depletion compared with the C : P ratio. Under N-limitation of growth, luxury
amounts of P were stored by S. fluviatilis.
5. In aquatic environments where macroalgae are sufficiently abundant to be sampled,
their cellular carbon, nitrogen and phosphorus stoichiometry can be used to infer nutrient
limitation of growth when their optimal C : N : P ratio is known.
Keywords: ecological stoichiometry, eutrophication, macroalgae, nitrogen, phosphorus
Introduction
Ecological stoichiometry provides a theoretical framework for understanding the mass balance of biologCorrespondence: Simon A. Townsend, Department of Natural
Resources, Environment and the Arts, PO Box 30, Palmerston,
Northern Territory 0831, Australia.
E-mail: simon.townsend@nt.gov.au
ically significant elements within ecosystems. This
approach has increased mechanistic understanding of
trophic interactions, nutrient cycling, population
dynamics and the role of species in ecosystems (Cross
et al., 2005). Photoautotrophs are ultimately the basis
of nearly all food webs, converting inorganic nutrients
to living biomass with energy supplied by photosynthesis. An imbalance typically exists between
the relative proportions and amounts of nutrients
Ó 2007 Dept. of Natural Resources, Environment and the Arts, Journal compilation Ó 2007 Blackwell Publishing Ltd
509
510
S. A. Townsend et al.
supplied by the environment and those required for
photoautotroph growth. This constrains the growth of
photoautotrophs and can prompt an uncoupling
between carbon fixation and nutrient acquisition to
produce a wide variation in the nutrient contents of
photoautotrophs, notably their C : N : P stoichiometry (Sterner & Elser, 2002).
Under conditions of maximum growth, when nutrient limitation is not discernible, the elemental content
of marine phytoplankton attains an optimal C : N : P
molar ratio that approximates the Redfield ratio of
106 : 16 : 1 (Goldman, McCarthy & Peavey, 1979).
Theoretically, only nutrient replete phytoplankton
growing at a maximum rate can attain the Redfield
ratio (Goldman, 1986), whilst the absolute growth rate
is both a function of nutrient supply as well as abiotic
factors such as temperature and light (Sterner & Elser,
2002). The Redfield ratio is also applicable to freshwater phytoplankton (Kilham, 1990; Hecky, Campbell &
Hendzel, 1993), and resembles the optimal C : N : P
cellular ratio for marine benthic microalgae of
119 : 17 : 1 (Hillebrand & Sommer, 1999).
Deviations from the optimal cellular C : N : P ratio
for microalgae have been proposed to infer nutrient
limitation of growth (Healey, 1978). Growth rates
increase with the internal cellular concentration of a
limiting nutrient until a maximum internal content is
reached, as described by the Droop (1974) model of
cell quota and growth kinetics. When this maximum
is reached, a second nutrient becomes limiting. The
transition point between the growth limitations of
two nutrients is marked by an optimal cellular ratio
of the two nutrients (Elrifi & Turpin, 1985). Marine
phytoplankton N : P ratios have been shown by
Goldman et al. (1979) to be more responsive to
growth rate under P-limitation than under N-limitation, resulting in a wider range of N : P ratios when
P limits growth.
Macroalgae, in common with microalgae, are nonvascular photoautrophs. Stream macroalgae are distinguished from microalgae by forming a mature
thallus that is a discrete structure recognizable with
the naked eye (Sheath & Cole, 1992). They belong
to the following algal divisions: Bacillariophyta
(e.g. Didymosphenia geminata (Lyngbye) Schmidt),
Chlorophyta (e.g. Cladophora, Oedogonium, Spirogyra,
Chara and Nitella), Chrysophyta (e.g. Chrysocapsa),
Cyanophyta (e.g. Nostoc, Stigonema, Tolypothtix),
Rhodophyta (e.g. Batrachospermum), Phaeophyta
(predominately marine kelps), Tribophyta (e.g. Tribonema minus (Wille) Hazen) and Xanthophyta
(e.g. Vaucheria). The algal divisions Cryptophyta,
Dinophyta, Glaucophyta, Prymnesiophyta and
Raphidophyta do not have macroscopic species. Most
freshwater macroalgae are attached to stream and
lake substrata, although some are free floating (e.g.
Hydrodictyon). Macroalgae can be prominent primary
producers in eutrophic (e.g. Cladophora, Whitton,
1970) and oligotrophic freshwaters (e.g. Spirogyra,
Townsend & Padovan, 2005).
The concept of an optimal cellular nutrient ratio
should be applicable not only to microalgae but also
to macroalgae, although the optimal ratios of macroalgae may differ from the Redfield ratio. Environmental samples of freshwater and marine macroalgae
are carbon rich relative to their nitrogen and phosphorus content, and compared to microalgal ratios
(Atkinson & Smith, 1983; Duarte, 1992). Whether this
reflects a greater degree of nutrient deficiency than
microalgae or is because of a different elemental
composition of macroalgae is not clear. In this paper,
we address this issue by examining the nutrient
stoichiometry of the filamentous green macroalga
Spirogyra fluviatilis Hilse in the Douglas–Daly region
of tropical Australia. More specifically, we examine
the quantitative relationships between carbon, nitrogen and phosphorus. We also estimate the optimal
C : N : P ratio of S. fluviatilis, compare this ratio to the
Redfield ratio, and test the utility of the S. fluviatilis
optimal nutrient ratio to infer nitrogen or phosphorus
limitation.
Methods
Site description
The Douglas–Daly region (14°S, 131°E) is located in
the wet/dry tropics of northern Australia (Fig. 1), and
is 180 km south from the coastal city of Darwin in the
Northern Territory. It comprises the lower reaches of
the Douglas River catchment and the adjacent Daly
River catchment, and approximates 6100 km2 (Hill,
2004). The principal land-use in the region is cattle
grazing on native grass pastures and Eucalyptus
savanna woodlands, with about 15% of the region
developed for agriculture. The Daly River and its
tributaries are considered to be in a near-undisturbed
state compared with temperate Australian rivers,
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
The Redfield ratio and Spirogyra fluviatilis
131°20'0"E
Study region
511
131°30'0"E
13°40'0"S
ee
k
Tropic of capricorn
H
ay
es
cr
AUSTRALIA
Do
13°50'0"S
DG2
r
ive
sr
la
ug
HC
DG4
MC
Mid
dle
13°50'0"S
cre
ek
Daly river
Fig. 1 Macroalgae and water quality
sample sites in the Douglas–Daly Region,
northern Australia. DR, Daly River sites;
DG, Douglas River sites; HC, Hayes Creek
site; MC, Middle Creek site.
DR6
DR5
DR4
14°0'0"S
although regionally high nitrate concentrations in the
lower Douglas River maybe of anthropogenic origin.
The flow regime of rivers and streams in the
region is highly seasonal. Wet season flow between
January and April in the Daly River averages 90% of
total annual discharge, and is dominated by surface
runoff. In contrast, dry season flows (June–October)
originate from groundwater sources, and constitute
an extended period of baseflow that is rarely
supplemented by surface run-off (Townsend & Padovan, 2005). The Daly River is typically 5–20 m
deep during the wet season, but in the dry season
rapids and runs are <1 m deep, whilst pools are 2–
4 m deep.
The highly seasonal flow of the Daly River and its
tributaries underpins a seasonal pattern of Spirogyra
biomass (Townsend & Padovan, 2005). During the wet
season, high current speeds and turbidity prevent the
growth of macroalgae, but dry season hydraulic and
optical conditions favour macroalgal growth. In 2001,
Spirogyra first became visible in the middle reaches of
the Daly River in mid-May, then grew to reach a
maximum biomass of 28 mg m)2 of chlorophyll a
(Townsend & Padovan, 2005) when mats of the alga
covered areas of up to 200 m2 with at least 30% areal
cover. Over the following 2 months, the biomass of
Spirogyra halved, before being removed from the river
by the first major runoff event of the wet season in
November. Spirogyra can constitute a significant proportion of the river’s total primary productivity. In
2001, the alga contributed up to 40% of the river’s
14°0'0"S
N
0 2.5 5
10 km
DR2
131°10'0"E
131°20'0"E
131°30'0"E
total primary production along a 10-km reach of the
Daly River (Webster et al., 2005).
Eight study sites were selected in the Douglas–
Daly region, where nutrient concentrations during
the dry season indicate oligotrophic conditions
(Townsend & Padovan, 2005) based on the classification scheme of Dodds, Jones & Welch (1998). Dry
season nitrate concentrations in the region vary by
two orders of magnitude, whilst soluble phosphorus
concentrations vary by a factor of two. Sites for the
collection of macroalgae and water samples were
selected where hydraulic conditions, incident light
and river substrata were favourable for Spirogyra
growth, and provided a wide range of nitrate
concentrations. Four sites were selected (DR2, DR4,
DR5, DR6; Fig. 1) along an 18-km reach of the Daly
River, previously studied by Townsend & Padovan
(2005) and Webster et al. (2005), where the river is
50 m wide with banks 20 m high. Four additional
sites were located on the Douglas River (DG2, DG4;
Fig. 1), and two tributaries, Hayes and Middle
Creeks (HC, MC; Fig. 1).
Sample collection
Macroalgae and water samples were collected
monthly between May and November 2005, with
additional water samples collected from Daly River
sites to provide a fortnightly sampling frequency.
Samples collected for taxonomic identification were
preserved in 4% formalin.
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
512
S. A. Townsend et al.
Water samples were collected for the analysis of
nitrite, nitrate and filterable reactive phosphorus,
hereafter referred to as soluble phosphorus. Ammonia in these well-oxygenated waters during the dry
season is not detectable, being <5 lg L)1 (S.A.
Townsend unpublished data). A representative
water sample was collected at each site, located
along either a run or riffle with well-mixed, turbulent flow. Water samples were filtered through a
0.45-lm membrane in the field, stored on ice and
then frozen until their analysis by standard methods.
These were [with APHA (1998) method numbers in
parentheses], the automated cadmium method for
nitrate and nitrite (4500-P F), and automated ascorbic
acid reduction method for filterable reactive phosphorus (4500-P F). These analyses had a detection
limit of 1 lg L)1, with all nitrite concentrations less
than this limit. Water samples were also collected for
alkalinity, which was determined by standard titration (2320B) with a detection limit of 1 mg L)1 as
CaCO3.
Field measurements were made of temperature,
dissolved oxygen and conductivity using a DataSonde
multi-parameter probe (Hydrolab Corporation, Austin,
TX, U.S.A.) and turbidity with a Hach 2100P turbidity
meter (Hach Company, Loveland, CO, U.S.A.). The
attenuation of photosynthetically available radiation
(PAR) was measured in the Daly River with a Licor
(Lincoln, NE, U.S.A.) meter and scalar bulb, but not
at the other sites because of their restricted depth.
The attenuation of PAR through the water column
was determined from a regression of the natural
log-transformed PAR (dependent variable) and depth
(independent variable).
colour and its slimy feel, and could not be confused
with other macroalgae present in the Daly River,
primarily Nitella and Chara.
The algal samples were processed in a laboratory
within 3 days of collection. The samples retained their
integrity during storage as no statistically significant
relationship was found between the duration of
sample storage and the chlorophyll a to phaeophytin
ratio (S.A. Townsend unpublished data) which would
have indicated macroalgal decomposition. The samples were rinsed with distilled water to remove
macroinvertebrates, debris and sediment, then gently
squeezed by hand to remove water, and finally placed
on blotting paper to absorb the remaining water. We
acknowledge the samples included epiphytic algae,
although these were a negligible proportion of the
total cell volume (<0.1%).
The sample was then weighed and oven dried
(3 days at 60 °C), then re-weighed to determine its dry
weight. The sample was analysed by APHA (1998)
methods for total organic carbon by the high temperature combustion method (5310 A & B), for total
nitrogen following sulphuric acid digestion (4500-Norg
B) and the cadmium reduction method (4500-NO
3 F)
and for total phosphorus by Inductively Coupled
Plasma Mass Spectrometry. The percentage dry
weight contents of carbon (C%), nitrogen (N%) and
phosphorus (P%) were then calculated, which is the
mass of C, N or P expressed as a percentage of the
sample dry weight. All ratios expressed in the paper
are molar ratios of the dry weight sample rounded to
two significant figures, and used the atomic weights of
C, N and P to convert masses to molar (atomic) ratios.
Nutrient addition experiment
Spirogyra nutrient analysis
Spirogyra samples collected for nutrient analyses were
stored in plastic bottles and kept on ice whilst in the
field. Samples were collected in waters 0.05–0.5 m
deep on either gravel or bedrock substrata with
observable flow. The collection of samples from
deeper waters was restricted due to safety concerns
about the presence of estuarine crocodiles (Crocodylus
porosus Schneider) in the river. Up to four replicate
samples were collected randomly at each site,
depending on the biomass available and ease of
sampling. Spirogyra was readily identified in the field
by its filamentous growth form, luxuriant green
A simple experiment was conducted to evaluate the
C : N : P ratio of Spirogyra in the Daly River exposed
to higher N, P and trace element concentrations than
ambient river values. Approximately 2 kg of the
granulated slow-release garden fertilizer Multicote8Ò
(Haifa Chemicals Ltd., Haifa Bay, Israel) was placed
in each of three porous bags and deployed on gravel,
where Spirogyra was absent, at site DR6 in mid-June.
Three bags of washed sand were used as controls. The
depths of the test and control sites were 0.1–0.6 m and
current velocities were within the range favourable
for Spirogyra growth (0.1–0.5 m s)1; Townsend &
Padovan, 2005). Incident radiation (290–2800 nm)
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
The Redfield ratio and Spirogyra fluviatilis
during the experiment was measured continuously by
the Australian Bureau of Meteorology at Darwin
Airport, which is representative of the region’s radiation during the dry season, and reported as half hour
total radiation values.
The granules are encapsulated in a polymer coating
that controls the release of nutrients, allowing a
continuous supply to the river. The granules comprise
by weight 16.0% N (urea, ammonium nitrate, potassium nitrate, ammonium phosphate) and 3.5% P
(calcium phosphate, ammonium phosphate), and
yield a N : P supply molar ratio of 10 : 1. The
quantities of other nutrients present were 10.0% K
(potassium nitrate), 1.9% S, 1.2% Mg and small
amounts (<0.2%) of Fe, Mn, Mo, Zn and B. The
growth of S. fluviatilis was observed weekly, and
samples collected for nutrient analysis were collected
3 m downstream of the bags, after 4 weeks of growth.
513
Table 1 Average soluble nitrogen and phosphorus concentrations
Site
n
Soluble
N (lg L)1)
Soluble
P (lg L)1)
Soluble molar
N:P
DG2
DG4
DR2
DR4
DR5
DR6
HC
MC
7
8
10
14
5
11
6
5
1*
60
3
8
8
9
7
7
7
7
8
9
8
6
7
9
0.29*
22
0.94
1.9
2.3
2.5
2.4
1.8
(0.2)
(6)
(0.1)
(0.8)
(0.4)
(0.9)
(0.4)
(0.1)
(0.3)
(0.3)
(0.8)
(0.5)
(0.7)
(0.6)
(0.5)
(0.8)
(0.059)
(0.27)
(0.30)
(0.21)
(0.24)
(0.24)
(1.4)
(0.22)
The standard error of the mean is presented in parentheses.
n, number of samples.
*Most soluble nitrogen concentrations were less than the detection limit of 1 lg L)1. To calculate an average, concentrations
<1 lg L)1 were assigned a value equal to the detection limit. The
true mean, therefore, will be <1 lg L)1.
nutrient exhibited a pronounced temporal trend,
although nitrate concentrations tended to be higher
at the beginning of the study at some sites.
Results
Water quality
Stoichiometric relationships
The Daly River and its tributaries were warm (24–
34 °C), clear (1.1–4.1 NTU) and well-oxygenated with
concentrations between 5.5 mg L)1 (74% saturation)
early in the morning to 8.5 mg L)1 (114% saturation)
late in the afternoon. Light attenuation in the Daly
River averaged 0.53 m)1, equivalent to a euphotic
depth of 8.7 m (range 6.0–15.9 m). Ionic chemistry
was dominated by dolomite-derived ground water at
all sites, except site DG2. The alkalinity and conductivity of the dolomitic riverine waters averaged,
respectively, 305 mg L)1 as CaCO3 and 566 lS cm)1,
with a median pH of 7.5. At site DG2 alkalinity
(average 25 mg L)1 as CaCO3), conductivity (average
52 lS cm)1) and pH (median 7.3) were lower because
of their sandstone aquifer origins.
Concentrations of soluble phosphorus were similar
at each site, with averages between 6 and 9 lg L)1
(Table 1) and an overall range of 5–12 lg L)1. In
contrast, average soluble nitrogen concentrations for
each site, measured as nitrate, spanned at least two
orders of magnitude, ranging from <1 lg L)1 to
60 lg L)1 (Table 1). The maximum nitrate concentration measured was 90 lg L)1. Because of the variation
in soluble nitrogen concentrations, soluble molar
N : P ratios also spanned two orders of magnitude
(Table 1), with an overall range from 0.1 to 26. Neither
The overwhelmingly dominant taxon within the
macroalgal samples at all sites was the S. fluviatilis
complex, with three morphotypes defined by vegetative cell width. These morphotypes range from a
narrow form, 24–29 lm in vegetative cell diameter, as
described for S. fluviatilis in Czurda (1932), through to
a medium form, 29–37 lm diameter, fitting S. rhizopus
Jao (1936) and S. corrugata Transeau et al. (1934), to a
wide form, 39–48 lm or more in diameter, similar to
S. fluviatilis var. africana Fritsch & Stephens (1921). The
medium form was the most common morphotype,
comprising 72% of taxonomic samples, with the
longest form the next most common and constituting
22% of samples. The species is distributed throughout
most of Australia (S. Skinner unpublished data) and
globally with records in China (Jao, 1936) and north
America (Borchardt, Hoffmann & Cook, 1994). Other
algae present amongst the S. fluviatilis mats, although
in negligible cell numbers, were Mougetia, Cylindrospermum, Oedogonium, Zygnema, Zygnemopsis and
epiphytic diatoms.
The mean nutrient content of S. fluviatilis was 30%
C, 1.8% N and 0.051% P, which is within the nutrient
range of 46 macroalgal species reported by Duarte
(1992). The nutrient contents of S. fluviatilis covered a
wide range, varying twofold for C%, threefold for
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
S. A. Townsend et al.
(a)
(a) 4
50
n = 83
Avg = 30
CV = 18
Range = 18–43
40
30
2
20
1
10
0
0.00
0
10
20
30
40
C (% dry weight)
30
0.10
P%
0.15
0.20
0.05
0.10
P%
0.15
0.20
DG2
DG4
DR2
DR4
DR5
DR6
HC
MC
40
C%
n = 83
Avg = 1.8
CV = 32
Range = 0.72–3.3
40
0.05
(b)
50
30
20
20
0.00
10
(c)
0
1
(c)
50
2
3
N (% dry weight)
4
80
60
40
n = 85
Avg = 0.051
CV = 53
Range = 0.025–0.19
30
20
0.5 1.0 1.5 2.0 2.5 3.0 3.5
N%
20
0
0.00
40
C%
Relative frequency (%)
(b)
Site legend:
3
N%
514
0.05
0.10
0.15
P (% dry weight)
0.20
Fig. 2 Frequency distribution of (a) carbon, (b) nitrogen and (c)
phosphorus (% dry weight) of Spirogyra fluviatilis in the Douglas–Daly region (northern Australia). n, number of samples;
Avg, average; CV, coefficient of variation (%).
N% and 10-fold for P% (Fig. 2). The average C : N : P
ratio of S. fluviatilis samples was 1700 : 88 : 1, with
ratios ranging from 410 : 18 : 1 to 3800 : 170 : 1.
The quantitative relationships between elements of
biological significance underpin ecological stoichiometry. These relationships are presented in Fig. 3 and
summarized in Table 2. The C%, N% and P% (dry
weight) ranges for each site tended to overlap with
other sites. A notable exception, however, was the P
content at DG2 and, to a lesser extent, sites MC and
HC, which had high P contents (0.083–0.19%; Fig. 3)
compared with S. fluviatilis at other sites (0.019–
0.074%), thus reducing the explanatory power of the
linear regressions between P% and other variables
(Table 2). The regressions with most explanatory
power were between N% and C% (r2 ¼ 0.24), and
Fig. 3 Relationships between (a) P% and N%, (b) P% and C%,
and (c) N% and C% for Spirogyra fluviatilis samples collected
from eight sites in the Douglas–Daly region (northern Australia).
The regressions for (a) and (b) exclude site DG2. Further information about the regressions is presented in Table 2.
P% and N% when DG2 data were excluded (r2 ¼
0.30).
The carbon : nutrient ratio of aquatic plants can be
scaled according to their nutrient content to explore
further quantitative relationships (Duarte, 1992). The
nutrient content of S. fluviatilis explained c. 80% of the
variation in carbon : nutrient ratios (Fig. 4). Increases
in P% and N% were associated with exponential
decreases in the C : P and C : N ratios respectively
(Fig. 4), which closely resemble the relationships for
macroalgal species reported by Duarte (1992). The
asymptotic nature of the relationship suggests a
maximum S. fluviatilis carbon content relative to the
nutrient (i.e. low C : nutrient ratio). This approximates ratios of 670 : 1 for C : P as P% approaches
0.12%, and 10 : 1 for C : N as N% approaches 4%.
The N : P ratio of S. fluviatilis was closely linked to
the C : P ratio, explaining 36% of variation (Fig. 5a;
Table 2). A weaker relationship existed between N : P
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
The Redfield ratio and Spirogyra fluviatilis
515
Table 2 Linear regressions between N, P and C contents (percentage dry weight), and nutrient ratios for Spirogyra fluviatilis
X
y
n
Slope
Intercept
r2
Probability
Power
P%
P%*
P%
P%*
N%
N:P
N:P
N%
N%
C%
C%
C%
C:P
C:N
82
78
82
79
81
81
81
4.44
20.8
29.1
74.8
4.53
12.4
)0.118
1.63
0.900
10.8
26.3
21.1
641
31.1
0.05
0.30
<0.01
0.05
0.24
0.37
0.19
0.059
<0.001
0.65
0.05
<0.001
<0.001
<0.001
0.47
0.99
0.07
0.50
0.99
0.99
0.98
Plots of the dry weight data and significant regressions are shown in Fig. 3. Plots of the ratio data are presented in Fig. 5. (All tests
satisfied the assumptions of normality and equal variance)
*Data from site DG2 excluded, and plotted in Fig. 3.
(a) 4000
(c)
100
1000
50
0
C:N
(b)
0.05
60
0.10
P%
0.15
0.20 0.00
0.05
(d)
Y = 29.7 X–0.768
0.10
P%
0.15
N:P
2000
0.00
Site
legend:
150
0
0.20
200
Y = 38.1 + 27.2 N%
150
40
100
20
DG2
DG4
DR2
DR4
DR5
DR6
HC
MC
N:P
C:P
3000
200
Y = 120 – 655 P%
Y = 92.0 X–0.935
50
0
0
0
1
2
N%
3
4
0
1
2
N%
3
4
Fig. 4 Relationships between nutrient content (percentage dry weight) and nutrient molar ratios, (a) P% and C : P (n ¼ 82, r2 ¼ 0.82),
(b) N% and C : N (n ¼ 81, r2 ¼ 0.78), (c) P% and N : P (n ¼ 83, r2 ¼ 0.31) and (d) N% and N : P (n ¼ 83, r2 ¼ 0.27) for Spirogyra
fluviatilis sampled from eight sites in the Douglas–Daly region (northern Australia). All regressions satisfied the assumptions of
normality and equal variance, and were significant at <0.001% level and had power of 0.99.
and C : N however (Fig. 5b; Table 2), which was
influenced by the relatively high C : N values at site
DR2. The high P% content of S. fluviatilis at site DG2
coincided with a low C : P ratio.
Spirogyra fluviatilis optimal nutrient content
During the nutrient addition experiment, incident
radiation averaged 680 Wm)2 between 9:00 and
17:00 hours when the riverbed was exposed to direct
sunlight, and the attenuation of PAR in the Daly River
averaged 0.55 m)1. Assuming that PAR comprised
45% of incident radiation and 1 Wm)2 ¼
4.57 lmol ph m)2 s)1 (Townsend & Padovan, 2005),
the PAR at depths of <0.5 m would have exceeded
100 lmol ph m)2 s)1. Such high light intensities exceed the lower range of photosaturation intensities of
benthic algae (Hill, 1996), and indicate that photosynthesis would have been light saturated, although selfshading would have exposed some S. fluviatilis filaments to lower PAR intensities. Current speeds,
which can affect S. fluviatilis growth (Borchardt,
1994) though not C : N : P ratios under nutrient
replete conditions, approximated 0.5 m s)1.
A luxuriant mat of S. fluviatilis grew immediately
downstream of the fertilizer bags after 4 weeks of
growth, but not at the control sites. The d15N of
S. fluviatilis downstream of the fertilizer treatments
(mean 3.6&) was significantly lower than S. fluviatilis
in the upper reaches of the river (mean 6.9&; Schult
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
S. A. Townsend et al.
(a) 4000
C:P
3000
2000
1000
0
0
C:N
(b)
50
100
N:P
150
60
Site legend:
DG2
DG4
DR2
DR4
DR5
DR6
HC
200
MC
Optimum
N : P ratio
40
20
0
0
50
100
N:P
150
200
Fig. 5 Relationships between (a) N : P and C : P ratios (r2 ¼
0.37; P < 0.001), and (b) N : P and C : N ratios (r2 ¼ 0.19;
P < 0.001) for Spirogyra fluviatilis at eight sites in the Douglas–
Daly region (northern Australia). The optimum S. fluviatilis
molar N : P ratio is 87 : 1. Information about the regressions is
presented in Table 2.
et al., 2007), indicating the nitrogen originated from
fertilizer which had a low d15N value close to zero
(Udy & Dennison, 1997). The average nutrient content
of the fertilizer-enriched S. fluviatilis, as a percentage
of dry weight, was 21% C, 1.3% N and 0.031% P, with
an average C : N : P ratio of 1800 : 87 : 1. Assuming
S. fluviatilis was growing at or near maximum rates,
the C : N : P ratio of 1800 : 87 : 1 indicates the optimal C : N : P ratio for S. fluviatilis.
Approximately half of the S. fluviatilis samples had
cellular N : P ratios <87 : 1, indicating nitrogen limitation, notably at sites DG2, HC and MC (Fig. 6).
Nitrogen limitation in S. fluviatilis was associated with
low soluble N : P ratios of <2 (Fig. 6) and soluble N
concentrations of <5 lg L)1. Conversely, phosphorus
limitation in S. fluviatilis (N : P > 87) was often associated with high soluble N : P ratios, for example at
site DG4 (mean soluble N : P ratio 18).
Discussion
Spirogyra fluviatilis nutrient content and optimal
C : N : P ratio
Macroalgae, in common with other aquatic plants,
have a wide range of nutrient contents (see Atkinson
S. fluviatilis molar N : P
516
160 P limitation
120
80
40
0
0.01
N limitation
0.1
1
10
Soluble molar N : P
Legend:
DG2
DG4
DR2
DR4
DR5
DR6
HC
MC
N : P optimum
mean ratio.
Standard error
of the mean
optimum
N : P ratio.
Fig. 6 Soluble molar N : P ratio and Spirogyra fluviatilis cellular
N : P ratio for eight sites in the Douglas–Daly region (northern
Australia). Soluble nitrogen comprised of nitrate, as nitrite
and ammonia concentrations were below detection (see
Methods). Nitrate concentrations less than the detection limit
were assigned a value equal to the detection limit for calculation
purposes.
& Smith, 1983; Duarte, 1992; Ferández-Aláez, Ferández-Aláez & Bécares, 1999) which is attributable to
both species-specific and environmental factors. The
range of S. fluviatilis N and C nutrient contents
approximated 70% of the C and N ranges of the
Duarte (1992) data set for 46 macroalgal species,
whereas the P% range of S. fluviatilis approximated a
smaller proportion (c. 20%). Moreover, the relationships between nutrient contents and C : P and C : N
ratios (Fig. 4) were similar between S. fluviatilis and
the Duarte (1992) data set. The high variation of
nutrient contents for S. fluviatilis, compared with the
Duarte (1992) data set, indicates that environmental
variation can account for a large proportion of the
variation in nutrient content in a single macroalgal
species. Variation within the S. fluviatilis complex
because of the three morphotypes, however, may
have also contributed to the overall nutrient content
variability.
The optimal C : N : P ratio for S. fluviatilis, which
approximated 1800 : 87 : 1, differed substantially
from the Redfield ratio (106 : 16 : 1), being deficient
in N, and even more deficient in P relative to C. This
ratio however was estimated from a field experiment
and assumed near maximum growth rates. If growth
rates when S. fluviatilis was sampled were not near
the maximum, then the optimal ratio for the alga will
be richer in N and P relative to C. Carbon limitation of
growth was considered unlikely during the experiment because the river has been shown to have carbon
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
The Redfield ratio and Spirogyra fluviatilis
dioxide concentrations between 15 and 30 times saturated concentrations (Webster et al., 2005). Laboratory experiments to determine the optimal macroalgal
C : N : P ratio, when growth is at a maximum have
not been published for freshwater macroalgae. Borchardt (1994) calculated N : P ratios for S. fluviatilis
from minimum cell quotas, when growth was zero
rather than at a maximum. Several studies of the
nutrient limitation of the growth of Cladophora and its
N and P cellular content has been undertaken (e.g.
Gerloff & Fitzgerald, 1976; Neil & Jackson, 1982;
Rosemarin, 1982), although these did not relate
maximum growth rates and nutrient stoichiometric
ratios.
Macroalgae probably have an optimal cellular
C : N : P ratio which is rich in carbon relative to N
and P, and deficient in P relative to N when compared
with the optimal ratio for microalgae based on this
field experiment. However, only experiments that
measure growth rate and determine the C : N : P
cellular ratios of macroalgal species at maximum
growth rates will confirm this proposition. The richer
carbon content of macroalgae may reflect the greater
cellular structural requirements for carbon of macroalgae. We conclude that the application of the
Redfield ratio cannot be assumed to be applicable to
macroalgae, and is probably inappropriate to assess
macroalgal nutrient deficiency.
Nutrient limitation inferred from stoichiometric ratios
The N and P contents of plants are closely related
because these two elements are found in common
biological compounds (Sterner & Elser, 2002), such as
nucleic acids (e.g. DNA) and energetic nucleotides
(e.g. ATP). Nitrogen is also present in proteins and
chlorophyll, whilst phosphorus occurs in polyphosphates. Carbon is common to these compounds, and is
also present in carbohydrates and lipids. The relative
and absolute amounts of the C, N and P in cellular
material indicate the plant’s nutrient status, as well as
its response to nutrient limitation. One response is
luxury nutrient consumption (or uptake) which
occurs when growth that is limited by one factor
coincides with the uptake of a non-limiting nutrient
(Sterner & Elser, 2002). Planktonic luxury consumption differs between nutrients and is growth dependent, and has been shown to be greater for P than for
N (Elrifi & Turpin, 1985).
517
Evidence for P luxury consumption exists for
S. fluviatilis at site DG2, and to a lesser extent sites
MC and HC, where the cellular N : P ratio was
considerably lower than the optimal ratio (Fig. 6),
indicating N limitation, and the P% was higher than
at the other sites (Fig. 3). The P% contents of S. fluviatilis were high and C : P ratios low (e.g. site DG2;
Fig. 4) when growth was N-limited. The low soluble
N concentrations at site DG2, and low soluble N : P
ratios provide further evidence that S. fluviatilis
growth was N-limited, although these ratios need to
be interpreted with caution as discussed below.
Spirogyra fluviatilis was most P rich, and therefore of
greatest nutritional value to herbivores, where N
limits growth. Whilst P luxury uptake has been
demonstrated for phytoplankton (Sterner & Elser,
2002), it has not been demonstrated for freshwater
macroalgae.
There was no evidence of N luxury uptake by
S. fluviatilis in the Douglas–Daly region. Conditions
most conducive for N luxury consumption existed at
site DG4 where the soluble N : P ratio was at least
10 times that at other sites due to locally high nitrate
concentrations. Spirogyra fluviatilis N : P ratios at this
site were marginally higher than the optimal ratio
(Fig. 6), suggesting P limitation, although S. fluviatilis
N% and C : N ratios did not differ substantially from
other sites but were nevertheless amongst the highest
N% and lowest C : N ratios. Spirogyra fluviatilis may
not be capable of luxury consumption of N, or may
have taken up only small quantities of N not identified by this study.
Sterner & Elser (2002, p. 105) proposed the generalization that ‘for any given nutrient element X, the
C : X of autotroph biomass increases with the severity
of growth limitation of nutrient X’. This has been
demonstrated for phytoplankton (Goldman et al.,
1979) and benthic microalgae (Hillebrand & Sommer,
1999) grown in laboratory cultures under a range of P
limiting conditions. In each case, the severity of
growth limitation was measured by the growth rate
relative to a maximum rate when nutrients were not
limiting. The P and N contents of S. fluviatilis, relative
to their optimal values, can also be used as indicators
of growth limitation, with P or N limitation decreasing with increasing nutrient content. As shown in
Fig. 4, C : P and C : N ratios increase, respectively,
with increased P and N limitation in accordance with
Sterner & Elser’s (2002) generalization.
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
518
S. A. Townsend et al.
A second generalization proposed by Sterner &
Elser (2002, p. 205) is that the C : X ratio for nutrient
element X ‘increases with decreased availability of X
compared with alternative limiting nutrients (i.e.
Y : X)’. The N : P ratios and C : nutrients ratios of
S. fluviatilis concurred with this generalization
(Fig. 5). The C : P ratio of S. fluviatilis increased with
decreased availability of P relative to N, as indicated
by higher N : P ratios (i.e. C : P increased with
increasing N : P). This also concurs with the findings
of Hillebrand & Sommer (1999) that N : P and C : P
ratios increase with P limitation.
Similarly, with decreased availability of N relative
to P and hence decreased N : P ratios, the C : N ratio
increased (Fig. 5). This relationship was weak for
S. fluviatilis however, compared with the N : P versus
C : P regression. Spirogyra fluviatilis C : N ratios were
a less-sensitive indicator of nutrient limitation than
C : P ratios, which could be due to negligible N
luxury consumption. Hillebrand & Sommer (1999),
however, reported increased C : N ratios for four
species of benthic microalgae, regardless of the limiting nutrient, and concluded that this ratio was
indicative of general nutrient limitation.
Knowledge about the nutrients limiting primary
production in the aquatic environment underpins
the management of eutrophication, and is fundamental to understanding the constraints that limit
ecosystem productivity (Douglas, Bunn & Davies,
2005). This paper has tested the use of the cellular
N : P ratio to evaluate nutrient limitation of S. fluviatilis. The river’s soluble N : P ratios provided a
means of testing the validity of cellular nutrient
contents and ratios. This must be undertaken with
some caution, however, because concentrations of
soluble N and P provide limited information about
nutrient availability. Importantly, nutrient concentrations do not infer nutrient supply or turnover rate
(Dodds, 2003), and low concentrations may be
interpreted either as evidence of rapid nutrient
turnover and sufficient nutrient supply, or as resulting from the demand for a nutrient that exceeds its
supply. In the Douglas–Daly Region, low cellular
N : P ratios (which indicate N limitation of growth)
coincided with low soluble N : P ratios and low
soluble N. Conversely, high cellular N : P ratios
(notably at site DG4, Fig. 4), which indicate P
limitation, coincided with high soluble N : P ratios
and high soluble nitrogen concentrations. Further-
more, P limitation of S. fluviatilis inferred from high
cellular N : P ratios at sites DR4, DR5 and DR6 in
October 2005 was supported by the results of a
nutrient addition experiment that concluded S. fluviatilis growth was P limited at these sites (Schult
et al., 2007).
Macroalgae can be a prominent feature of rivers,
streams and the littoral zone of lakes (Wetzel, 1983).
This paper examined the utility of using cellular
stoichiometric ratios and the Redfield ratio to evaluate
nutrient limitation of S. fluviatilis in a region of
tropical Australia. An estimate of the optimal
C : N : P ratio of S. fluviatilis was determined from a
nutrient addition experiment conducted in the Daly
River, which assumed near maximum growth rates
had been attained when the samples for cellular
composition were collected. The optimal cellular
C : N : P ratio for S. fluviatilis (1800 : 87 : 1) was
substantially higher than the Redfield ratio
(106 : 16 : 1) which is applicable to aquatic microalgae. This paper has demonstrated the significant
potential for macroalgal stoichiometric ratios to be
used to evaluate macroalgal N- and P-limitation. The
Redfield ratio, however, is unlikely to be applicable to
freshwater macroalgae, although this needs to be
tested for other macroalgae.
Acknowledgments
Financial support for this project was provided by the
National Action Plan for Salinity and Water Quality.
The paper was improved by the thoughtful comments
of two anonymous reviewers.
References
APHA (1998) Standard Methods for the Examination of
Water and Wastewater, 20th edn. APHA/AWWA/WEF,
U.S.A.
Atkinson M.J. & Smith S.V. (1983) C:N:P ratios of benthic
marine plants. Limnology and Oceanography, 28, 568–
574.
Borchardt M.A. (1994) Effects of flowing water on
nitrogen- and phosphorus-limited photosynthesis and
optimum N:P ratios by Spirogyra fluviatilis (Charophyceae). Journal of Phycology, 30, 418–430.
Borchardt M.A., Hoffmann J.P. & Cook P.W. (1994)
Phosphorus uptake kinetics of Spirogyra fluviatilis
(Charophyceae) in flowing water. Journal of Phycology,
30, 403–417.
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
The Redfield ratio and Spirogyra fluviatilis
Cross W.T., Benstead J.P., Frost P.C. & Thomas S.A.
(2005) Ecological stoichiometry in freshwater benthic
systems: recent progress and perspectives. Freshwater
Biology, 50, 1895–1912.
Czurda V. (1932) Zygnemales. Volume 9 in Pascher, A. Die
Süsswasser-Flora Mitteleuropas. Verlag von Gustav
Fischer, Jena.
Dodds W.K. (2003) Misuse of inorganic N and soluble
reactive P concentrations to indicate nutrient status
of surface waters. Journal of the North American
Benthological Society, 22, 171–181.
Dodds W.K., Jones J.R. & Welch E.B. (1998) Suggested
classification of stream trophic state: distributions
of temperate stream types by chlorophyll, total
nitrogen and phosphorus. Water Research, 32, 1455–
1462.
Douglas M.M., Bunn S.E. & Davies P.M. (2005) River
and wetland food webs in Australia’s wet-dry
tropics: general principles and implications for
management. Marine and Freshwater Research, 56,
329–342.
Droop M.R. (1974) The nutrient status of algal cells in
continuous culture. Journal of the Marine Biology Association U.K., 55, 541–555.
Duarte C.M. (1992) Nutrient concentration of aquatic
plants: patterns across species. Limnology and Oceanography, 37, 882–889.
Elrifi I.R. & Turpin D.H. (1985) Steady-state luxury
consumption and the concept of optimum nutrient
ratios: a study with phosphate and nitrate limited
Selenastrum minutum (Chlorophyta). Journal of Phycology, 21, 592–602.
Ferández-Aláez M., Ferández-Aláez C. & Bécares E.
(1999) Nutrient content in macrophytes in Spanish
shallow lakes. Hydrobiologia, 408/409, 317–326.
Fritsch F.E. & Stephens E. (1921) Contributions to our
knowledge of the freshwater algae of Africa. 3.
Freshwater Algae (exclusive of Diatoms), mainly from
the Transkei Territories, Cape Colony. Transactions of
the Royal Society of South Africa, 9, 1–72.
Gerloff G.C. & Fitzgerald G.P. (1976) The Nutrition of
Great Lakes Cladophora. E.P.A., Michigan.
Goldman J.C. (1986) On phytoplankton growth rates and
particulate C:N:P ratios at low light. Limnology and
Oceanography, 31, 1358–1363.
Goldman J.C., McCarthy J.J. & Peavey D.G. (1979)
Growth rate influence on the chemical composition of
phytoplankton in oceanic waters. Nature, 279, 210–
215.
Healey F.P. (1978) Physiological indicators of nutrient
deficiency in algae. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie, 21,
34–41.
519
Hecky R.E., Campbell P. & Hendzel L.L. (1993) The
stoichiometry of carbon, nitrogen and phosphorus in
particulate matter of lakes and oceans. Limnology and
Oceanography, 38, 709–724.
Hill W. (1996) Effects of light. In: Algal Ecology: Freshwater
Benthic Ecosystems. (Eds R.J. Stevenson, M.L. Bothwell
& R.L. Lowe), pp. 128–148. Academic Press, San Diego,
California.
Hill J. (2004) The Extent of Developed and Undeveloped
Agricultural Land in the Douglas Daly Region and the
Application of Stream Buffers. Report 13/2004D. Department of Infrastructure, Planning and Environment,
Darwin, Australia.
Hillebrand H. & Sommer U. (1999) The nutrient
stoichiometry of benthic microalgal growth: Redfield
proportions are optimal. Limnology and Oceanography,
44, 440–446.
Jao C. (1936) New Zygnemataceae collected in China.
American Journal of Botany, 23, 53—60.
Kilham S.S. (1990) Relationship of phytoplankton
and nutrients to stoichiometric measures. In: Large
Lakes: Ecological Structure and Function (Eds M.M. Tilzer
& C. Serruya), pp. 403–413. Springer-Verlag,
New York.
Neil J.H. & Jackson M.B. (1982) Monitoring Cladophora
growth conditions and the effect of phosphorus
additions at a shoreline site in northeastern Lake Erie.
Journal of Great Lakes Research, 8, 30–34.
Rosemarin A.S. (1982) Phosphorus nutrition of two
potentially competing filamentous algae, Cladophora
glomerata (L.) Kütz. and Stigeoclonium tenur (Agardh)
Kütz. from Lake Ontario. Journal of Great Lakes Research,
8, 66–72.
Schult J., Townsend S.A., Douglas M.M., Webster I.T.,
Skinner S. & Casanova M. (2007) Recommendations for
Nutrient Resource Condition Targets for the Daly River.
Charles Darwin University, Darwin, Australia.
Sheath R.G. & Cole K.M. (1992) Biogeography of stream
macroalgae in North America. Journal of Phycology, 28,
228–260.
Sterner R.W. & Elser J.J. (2002) Ecological Stoichiometry:
The Biology of Elements from Molecules to the Biosphere. Princeton University Press, Princeton, U.S.A.,
439 pp.
Townsend S.A. & Padovan A.V. (2005) The seasonal
accrual and loss of benthic algae (Spirogyra) in the Daly
River, an oligotrophic river in tropical Australia.
Marine and Freshwater Research, 56, 317–327.
Transeau E.N., Tiffany L.H., Taft C.E. & Li L.C. (1934)
New Species of Zygnemataceae. Transactions of the
American Microscopical Society, 53, 208–230.
Udy J.W. & Dennison W.C. (1997) Physiological responses of seagrasses used to identify anthropogenic
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520
520
S. A. Townsend et al.
nutrient inputs. Marine and Freshwater Research, 48,
605–614.
Webster I.T., Rea N., Padovan A.V., Dostine P., Townsend S.A. & Cook S. (2005) An analysis of primary
production in the Daly River, a relatively unimpacted
tropical stream in Northern Australia. Marine and
Freshwater Research, 56, 303–316.
Wetzel R.G. (1983) Periphyton of Freshwater Ecosystems. Dr
W. Junk Publishers, The Hague.
Whitton B.A. (1970) Biology of Cladophora in freshwaters.
Water Research, 4, 457–476.
(Manuscript accepted 18 October 2007)
Ó 2007 Dept. of Natural Resources, Environment and the Arts
Journal compilation Ó 2007 Blackwell Publishing Ltd, Freshwater Biology, 53, 509–520